Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways

Nahdia Afiifah Abdul Jalil; Hector Chinoy; Meghna Jani; A Barton; Charlotte Thompson; P Martin; Nisha Nair; James Bluett; for the Outcomes of Treatment in Psoriatic Arthritis Study Syndicate (OUTPASS); James Bluett; E G Chelliah; C Chattopadhya; H Chinoy; P Ho; A Barton; M Castelino; I Bruce; R Gorodkin; K Hyrich; B Parker; T O’Neil; A Herrick; A C Jones; R Cooper; W Dixon; B Harrison; M Jani; A Low; N McHugh; W Tillett; N Goodson; L Shand; I Gaywood; I Pande; F Rees; M Rutter; S Hayat; J F McHale; A C Jones; P Lanyon; A Gupta; P A Courtney; A Srikanth; A Abhishek; S Kyle; R Manhas; A Nandagudi; S Selvan; A Bharadwaj; N Gendi; R Alshakh; M Ahmad; S Naz; L Das; M Pattrick; A P Bowden; E E Smith; P Klimiuk; D J Speden; M Bukhari; S Kavaklieva; L Ottewell; M Massarotti; J Packham; P Watson; P Sanders; S Haque; B Pal; E Bruce; Z Karim; K Mackay; H Shiels; J S H Taylor; R Jeffery; P Nandi; C Filer; A Ismail; L Mercer; A Hassan; A Russell; P Watson; P Sanders; S Haque; B Pal; E Bruce; Z Karim; K Mackay; H Shiels; J S H Taylor; R Jeffery; P Nandi; C Filer; A Ismail; L Mercer; A Hassan; A Russell; M Durrani; W Hassan; A Samanta; P Sheldon

doi:10.1093/rheumatology/keag193

April 15, 2026Lara D. VeekenOpen Access

Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways

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Key Points

To identify predictive biomarkers associated with secukinumab response in psoriatic arthritis through transcriptomic profiling.
Performed transcriptomic profiling before and after secukinumab treatment.
Used weighted gene co-expression network analysis (WGCNA) to identify additional genes.
Analyzed the involvement of identified genes in metabolic pathways.
Two genes were identified as pre-treatment predictive biomarkers of secukinumab response.
Five additional candidate genes were found through WGCNA.
The identified genes are linked to metabolic pathways that may influence treatment response.

Implication

Transcriptomic analysis identifies biomarkers for secukinumab response in psoriatic arthritis, suggesting new pathways for treatment.

Abstract

We identified two genes as pre-treatment predictive biomarkers of secukinumab response that persisted over time. Integration with WGCNA revealed five additional candidate genes. These genes are implicated in metabolic pathways, which may modulate secukinumab response. These findings warrant further validation.

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Cite This Study

Jalil et al. (2026) studied this question.

synapsesocial.com/papers/69e320cc40886becb653ff94 https://doi.org/10.1093/rheumatology/keag193

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Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways

Key Points

Implication

Abstract

Discussion

Cite This Study

Transcriptomic profiling of secukinumab-treated psoriatic arthritis reveals potential novel response-associated pathways

Key Points

Implication

Abstract

Discussion

Cite This Study

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