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doi:10.22028/D291-41187
Titel: | Network-Based In Silico Analysis of New Combinations of Modern Drug Targets with Methotrexate for Response-Based Treatment of Rheumatoid Arthritis |
VerfasserIn: | Assefi, Marjan Lewandrowski, Kai-Uwe Lorio, Morgan Fiorelli, Rossano Kepler Alvim Landgraeber, Stefan Sharafshah, Alireza |
Sprache: | Englisch |
Titel: | Journal of Personalized Medicine |
Bandnummer: | 13 |
Heft: | 11 |
Verlag/Plattform: | MDPI |
Erscheinungsjahr: | 2023 |
Freie Schlagwörter: | Rheumatoid arthritis Inflammatory arthritis DMARDS TLR4 receptor inhibition JAK inhibitors new targeted therapy |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Background: Methotrexate (MTX), sulfonamides, hydroxychloroquine, and leflunomide have consistently resulted in remission with relatively mild to moderate adverse effects in patients with rheumatoid arthritis (RA). Modern medications outperform traditional treatments in that they target the pathological processes that underlie the development of RA. Methods: Following PRISMA guidelines, the authors accomplished a systematic review of the clinical efficacy of RA drugs, including the biologics such as Tumor Necrosis Factor-alpha inhibitors (TNF-α i) like Etanercept, Infliximab, Golimumab, and Adalimumab, kinase inhibitors (JAK inhibitors including Baricitinib and Tofacitanib), SyK inhibitors like Fos-tamatinib, MAPK inhibitors such as Talmapimod, T-cell inhibitors (Abatacept), IL6 blockers (Tocilizumab), and B cells depleters (Rituximab). These drugs have been found to increase remission rates when combined with MTX. A bioinformatics-based network was designed applying STRING-MODEL and the DrugBank database for the aforementioned drugs and MTX and, finally, employed for this systematic review. Results: Current research demonstrates that non-TNF-α inhibitor biologicals are particularly helpful in treating patients who did not respond well to conventional medications and TNF-α inhibitors. Despite being effective, these innovative drugs have a higher chance of producing hazardous side effects. The in silico investigations suggested an uncovered molecular interaction in combining MTX with other biological drugs. The STRINGMODEL showed that DHFR, TYMS, and ATIC, as the receptors of MTX, interact with each other but are not connected to the major interacted receptors. Conclusions: New game-changing drugs including Mavrilimumab, Iguratimod, Upadacitinib, Fenebrutinib, and nanoparticles may be crucial in controlling symptoms in poorly managed RA patients. Emerging therapeutic targets like Toll-like 4 receptors, NLRP3 inflammasome complexes, and mesenchymal stem cells can further transform RA therapy. |
DOI der Erstveröffentlichung: | 10.3390/jpm13111550 |
URL der Erstveröffentlichung: | https://doi.org/10.3390/jpm13111550 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-411875 hdl:20.500.11880/36993 http://dx.doi.org/10.22028/D291-41187 |
ISSN: | 2075-4426 |
Datum des Eintrags: | 30-Nov-2023 |
Fakultät: | M - Medizinische Fakultät |
Fachrichtung: | M - Orthopädie |
Professur: | M - Prof. Dr. Stefan Landgraeber |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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jpm-13-01550.pdf | 2,08 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons