IM-UNITI at Three Years: Stellar Stelara® or Stardust? The Efficacy, Safety, and Immunogenicity of Ustekinumab Treatment of Crohn's Disease

Intestinal mRNA expression profiles associated with mucosal healing in ustekinumab-treated Crohn's disease patients: bioinformatics analysis and prospective cohort validation

BACKGROUND

Variations exist in the response of patients with Crohn's disease (CD) to ustekinumab (UST) treatment, but the underlying cause remains unknown. Our objective was to investigate the involvement of immune cells and identify potential biomarkers that could predict the response to interleukin (IL) 12/23 inhibitors in patients with CD.

METHODS

The GSE207022 dataset, which consisted of 54 non-responders and 9 responders to UST in a CD cohort, was analyzed. Differentially expressed genes (DEGs) were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Least absolute shrinkage and selection operator (LASSO) regression was used to screen the most powerful hub genes. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performances of these genes. Single-sample Gene Set Enrichment Analysis (ssGSEA) was used to estimate the proportions of immune cell types. These significantly altered genes were subjected to cluster analysis into immune cell-related infiltration. To validate the reliability of the candidates, patients prescribed UST as a first-line biologic in a prospective cohort were included as an independent validation dataset.

RESULTS

A total of 99 DEGs were identified in the integrated dataset. GO and KEGG analyses revealed significant enrichment of immune response pathways in patients with CD. Thirteen genes (SOCS3, CD55, KDM5D, IGFBP5, LCN2, SLC15A1, XPNPEP2, HLA-DQA2, HMGCS2, DDX3Y, ITGB2, CDKN2B and HLA-DQA1), which were primarily associated with the response versus nonresponse patients, were identified and included in the LASSO analysis. These genes accurately predicted treatment response, with an area under the curve (AUC) of 0.938. T helper cell type 1 (Th1) cell polarization was comparatively strong in nonresponse individuals. Positive connections were observed between Th1 cells and the LCN2 and KDM5D genes. Furthermore, we employed an independent validation dataset and early experimental verification to validate the LCN2 and KDM5D genes as effective predictive markers.

CONCLUSIONS

Th1 cell polarization is an important cause of nonresponse to UST therapy in patients with CD. LCN2 and KDM5D can be used as predictive markers to effectively identify nonresponse patients.

TRIAL REGISTRATION

Trial registration number: NCT05542459; Date of registration: 2022-09-14; URL: https://www.

CLINICALTRIALS

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Impact of immunogenicity on clinical efficacy and toxicity profile of biologic agents used for treatment of inflammatory arthritis in children compared to adults

The treatment of inflammatory arthritis has been revolutionised by the introduction of biologic treatments. Many biologic agents are currently licensed for use in both paediatric and adult patients with inflammatory arthritis and contribute to improved disease outcomes compared with the pre-biologic era. However, immunogenicity to biologic agents, characterised by an immune reaction leading to the production of anti-drug antibodies (ADAs), can negatively impact the therapeutic efficacy of biologic drugs and induce side effects to treatment. This review explores for the first time the impact of immunogenicity against all licensed biologic treatments currently used in inflammatory arthritis across age, and will examine any significant differences between ADA prevalence, titres and timing of development, as well as ADA impact on therapeutic drug levels, clinical efficacy and side effects between paediatric and adult patients. In addition, we will investigate factors associated with differences in immunogenicity across biologic agents used in inflammatory arthritis, and their potential therapeutic implications.

The treatment approach to inflammatory bowel disease in 2020

PURPOSE OF REVIEW

Multiple new medications with novel mechanisms of action are now available to treat inflammatory bowel disease (IBD). Identifying the appropriate patients in whom to use these therapies is critical in maximizing benefit and reducing unnecessary risks. Once the appropriate therapy is selected, using a treat-to-target algorithm including symptomatic, biochemical, and endoscopic monitoring can improve clinical outcomes. If symptoms recur, these same principles, coupled with therapeutic drug monitoring, should be considered to confirm inflammation and determine next therapeutic steps.

RECENT FINDINGS

Multiple network meta-analyses can assist clinicians in determining the ideal biologic or small molecule therapy for patients with moderate-to-severe IBD. Once selected, several clinical trials have demonstrated that follow-up in 3 to 4 months, coupled with fecal calprotectin or C-reactive protein monitoring, can improve clinical remission and mucosal healing rates. Structural assessment should be performed via colonoscopy, enterography, or capsule endoscopy, dependent on disease location, at 9--12 months to confirm healing.

SUMMARY

Appropriate disease stratification, coupled with biologic or small molecule medication selection and treat-to-target follow-up, can greatly assist clinicians who are managing patients with IBD in achieving the greatest potential benefits of medical therapy.