Related Experiment Video

Updated: Aug 31, 2025

Determination of the Relative Potency of an Anti-TNF Monoclonal Antibody mAb by Neutralizing TNF Using an In Vitro Bioanalytical Method
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Gene Ontology Analysis Highlights Biological Processes Influencing Non-Response to Anti-TNF Therapy in Rheumatoid

Gregor Jezernik1, Mario Gorenjak1, Uroš Potočnik1,2,3

  • 1Faculty of Medicine, University of Maribor, Taborska ulica 8, 2000 Maribor, Slovenia.

Biomedicines
|August 26, 2022
PubMed

Insights

Understanding non-response to anti-TNF therapy in rheumatoid arthritis is crucial. Our study reveals proteasome-mediated protein catabolism and plasma lipoproteins are key biological processes influencing treatment outcomes.

Area of Science:

  • Immunology
  • Genetics
  • Rheumatology

Background:

  • Anti-tumor necrosis factor (TNF) therapy offers significant benefits for rheumatoid arthritis (RA) patients.
  • However, a notable proportion of RA patients exhibit primary non-response or secondary loss of response to anti-TNF agents.
  • The underlying biological mechanisms for this non-response remain largely uncharacterized.

Purpose of the Study:

  • To systematically investigate the biological processes associated with non-response to anti-TNF therapy in rheumatoid arthritis.
  • To analyze previously identified predictive biomarkers as an interacting system rather than isolated entities.
  • To identify novel molecular pathways contributing to therapeutic resistance in RA.

Main Methods:

  • Construction of gene networks based on published biomarkers for anti-TNF therapy response in RA.
  • Enrichment analysis of gene ontology (GO) terms within specific patient subgroups.
  • Utilizing specialized GO software tools for systematic elucidation of biological processes.

Main Results:

  • Identification of proteasome-mediated protein catabolic processes as significantly associated with non-response (p = 2.91 × 10^-15).
  • Identification of plasma lipoproteins as another key biological system linked to anti-TNF therapy response (p = 4.55 × 10^-11).
  • Gene ontology analysis revealed novel insights into the systemic biological underpinnings of treatment failure.

Conclusions:

  • Proteasome-mediated protein catabolism and plasma lipoproteins represent novel, significant biological pathways influencing anti-TNF therapy response in rheumatoid arthritis.
  • These findings provide a systems-level understanding of non-response mechanisms.
  • Further research into these highlighted biological processes is warranted to potentially improve therapeutic strategies for RA.
Keywords:
adalimumabbiomarkersgene ontologyinfliximabrheumatoid arthritistreatment outcome

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