Matches in SemOpenAlex for { <https://semopenalex.org/work/W2612996969> ?p ?o ?g. }
- W2612996969 endingPage "S38" @default.
- W2612996969 startingPage "S32" @default.
- W2612996969 abstract "Pain is a complex biopsychosocial phenomenon of which the intensity, location and duration depends on various underlying components. Treatment of pain is associated with considerable inter-individual variability, and as such, requires a personalized approach. However, a priori prediction of optimal analgesic treatment for individual patients is still challenging. Another challenge is the assessment and treatment of pain in patients unable to self-report pain. In this mini-review, we first provide a brief overview of the various components underlying pain, and their associated biomarkers. These include clinical, psychosocial, neurophysiological, and biochemical components. We then discuss the use of empirical and mechanism-based pharmacokinetic-pharmacodynamic modelling to support personalized treatment of pain. Finally, we propose how these concepts can be extended to a quantitative systems pharmacology (QSP) approach that integrates the components of clinical pain and treatment response. This integrative approach can support predictions of optimal pharmacotherapy of pain, compared with approaches that focus on single components of pain. Moreover, combination of QSP modelling with state-of-the-art metabolomics approaches may offer unique possibilities to identify novel pain biomarkers. Such biomarkers could support both the personalized treatment of pain and translational drug development of novel analgesic agents. In conclusion, a QSP approach will likely improve our ability to predict pain and treatment response, paving the way for personalized treatment of pain." @default.
- W2612996969 created "2017-05-19" @default.
- W2612996969 creator A5011747853 @default.
- W2612996969 creator A5025862143 @default.
- W2612996969 creator A5026235423 @default.
- W2612996969 creator A5031474875 @default.
- W2612996969 creator A5041795942 @default.
- W2612996969 creator A5049073682 @default.
- W2612996969 creator A5076255429 @default.
- W2612996969 creator A5077172862 @default.
- W2612996969 date "2017-11-01" @default.
- W2612996969 modified "2023-09-25" @default.
- W2612996969 title "Towards personalized treatment of pain using a quantitative systems pharmacology approach" @default.
- W2612996969 cites W135147496 @default.
- W2612996969 cites W1837117695 @default.
- W2612996969 cites W1909904700 @default.
- W2612996969 cites W1910150224 @default.
- W2612996969 cites W1923402420 @default.
- W2612996969 cites W1929069690 @default.
- W2612996969 cites W1959703444 @default.
- W2612996969 cites W1964836378 @default.
- W2612996969 cites W1968059543 @default.
- W2612996969 cites W1968277256 @default.
- W2612996969 cites W1971828591 @default.
- W2612996969 cites W1972495182 @default.
- W2612996969 cites W1978519915 @default.
- W2612996969 cites W1989059421 @default.
- W2612996969 cites W1989360695 @default.
- W2612996969 cites W1990749099 @default.
- W2612996969 cites W1990804906 @default.
- W2612996969 cites W1990851714 @default.
- W2612996969 cites W1996674948 @default.
- W2612996969 cites W2000741779 @default.
- W2612996969 cites W2000980666 @default.
- W2612996969 cites W2001951871 @default.
- W2612996969 cites W2003334995 @default.
- W2612996969 cites W2003883797 @default.
- W2612996969 cites W2012574304 @default.
- W2612996969 cites W2014587614 @default.
- W2612996969 cites W2017932988 @default.
- W2612996969 cites W2023043038 @default.
- W2612996969 cites W2042445733 @default.
- W2612996969 cites W2058648995 @default.
- W2612996969 cites W2058810849 @default.
- W2612996969 cites W2059229593 @default.
- W2612996969 cites W2062453895 @default.
- W2612996969 cites W2075435606 @default.
- W2612996969 cites W2081715966 @default.
- W2612996969 cites W2087618380 @default.
- W2612996969 cites W2094992069 @default.
- W2612996969 cites W2100688872 @default.
- W2612996969 cites W2102254877 @default.
- W2612996969 cites W2102561575 @default.
- W2612996969 cites W2104886205 @default.
- W2612996969 cites W2106656997 @default.
- W2612996969 cites W2111651546 @default.
- W2612996969 cites W2111663549 @default.
- W2612996969 cites W2112752919 @default.
- W2612996969 cites W2118173838 @default.
- W2612996969 cites W2122382060 @default.
- W2612996969 cites W2122400634 @default.
- W2612996969 cites W2122548663 @default.
- W2612996969 cites W2133064731 @default.
- W2612996969 cites W2133347503 @default.
- W2612996969 cites W2139340483 @default.
- W2612996969 cites W2146808843 @default.
- W2612996969 cites W2147123403 @default.
- W2612996969 cites W2149421654 @default.
- W2612996969 cites W2152314147 @default.
- W2612996969 cites W2153167497 @default.
- W2612996969 cites W2153898363 @default.
- W2612996969 cites W2154180317 @default.
- W2612996969 cites W2156567596 @default.
- W2612996969 cites W2156598086 @default.
- W2612996969 cites W2160662805 @default.
- W2612996969 cites W2171125927 @default.
- W2612996969 cites W2171872873 @default.
- W2612996969 cites W2172582439 @default.
- W2612996969 cites W2237511635 @default.
- W2612996969 cites W2286885776 @default.
- W2612996969 cites W2295182096 @default.
- W2612996969 cites W2329192676 @default.
- W2612996969 cites W2344452099 @default.
- W2612996969 cites W2477891822 @default.
- W2612996969 cites W2513955315 @default.
- W2612996969 cites W2516111248 @default.
- W2612996969 cites W2545205459 @default.
- W2612996969 cites W2547814918 @default.
- W2612996969 cites W2548633651 @default.
- W2612996969 cites W2610891033 @default.
- W2612996969 cites W2613279579 @default.
- W2612996969 cites W4245112387 @default.
- W2612996969 cites W4376848677 @default.
- W2612996969 cites W79245974 @default.
- W2612996969 doi "https://doi.org/10.1016/j.ejps.2017.05.027" @default.
- W2612996969 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28506867" @default.
- W2612996969 hasPublicationYear "2017" @default.
- W2612996969 type Work @default.