Biopolym. Cell. 2024; 40(3):216-216.
http://dx.doi.org/10.7124/bc.000AEE
Chronicle and Information
Network analysis identified novel disease module in rheumatoid arthritis
1, 2Bashynska V. V., 3Fau P., 3, 2Romanenko A. S., 3, 2Kompaniiets A. O., 4, 2Havrysh P. V., 5, 2Mykhailichenko M. V., 6, 2Nishchenko D. O., 3, 7, 2Kasianchuk N. M., 8Iordachi F., 9, 2, 10Petrenko O. O.
  1. O.M. Marzeiev Institute for Public Health, NAMS Ukraine
    50, Hetman Pavlo Polubotka Str., Kyiv, Ukraine, 02094
  2. NGO Genomics UA
    3, Dorogozhitska Str., Kyiv, Ukraine, 04119
  3. Adam Mickiewicz University
    1, Wieniawskiego Str., Poznan, Poland, 61–712
  4. Institute of Plant Genetics, Polish Academy of Sciences
    34, Strzeszynska Str., Poznan, Poland, 60–479
  5. University of Wroclaw
    1, Uniwersytecki plac, Wroclaw, Poland, 50–137
  6. Taras Shevchenko National University of Kyiv
    64, Volodymyrska Str., Kyiv, Ukraine, 01601
  7. Kyiv School of Economics
    3, Mykoly Shpaka Str., Kyiv, Ukraine, 02000
  8. Stanford University's OHS
    415, Broadway, Redwood City, CA, United States, 94063
  9. Medical University of Vienna
    23, Spitalgasse, Vienna, Austria, 1090
  10. Ukrainian Institute for Systems Biology and Medicine
    3, Dorogozhitska Str., Kyiv, Ukraine, 04119
Aim. Rheumatoid arthritis (RA) is an autoimmune disease causing chronic joint inflammation and is a leading cause of disability. Despite existing therapies, unmet needs like refractory disease remain a patients’ burden. This study aims to explore molecular associations with RA to identify new biomarkers or molecular targets. Conclusions. The identified molecular associations suggest novel links in RA, offering potential targets for mechanistic studies to understand their role in the disease pathobiology.
Keywords: rheumatoid arthritis, network analysis, multiomics
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