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Enregistrement W4411401439 · doi:10.1016/j.ard.2025.05.518

POS0130 INHIBITION OF NEW BONE FORMATION BY SECUKINUMAB VISUALIZED BY Na[18F]F PET/CT IN AXIAL SPONDYLOARTHRITIS

2025· article· en· W4411401439 sur OpenAlexaff
S. Groothuizen, W.R.P. van der Heijden, J. De Jongh, M. G. H. Van de Sande, Gerben J.C. Zwezerijnen, Robert Hemke, Conny J. van der Laken

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueOrthopedic Infections and Treatments
Établissements canadiensInstitute of Infection and Immunity
Organismes subventionnairesnon disponible
Mots-clésMedicineSecukinumabAxial spondyloarthritisNuclear medicineAnkylosing spondylitisInternal medicineArthritisSacroiliitisPsoriatic arthritis

Résumé

récupéré en direct d'OpenAlex

Background: New bone formation (NBF) is a hallmark of axial spondyloarthritis (axSpA), yet the relationship between inflammation and NBF remains incompletely understood. Interleukin-17 (IL-17) is a key cytokine in axSpA pathophysiology, and preclinical research has suggested IL-17 blockade as potential approach for inhibiting NBF [1]. Detecting NBF is complicated by the limitations of conventional imaging techniques, such as X-rays, which typically reveal structural changes only after several years, delaying early treatment monitoring. Sodium [ 18 F]Fluoride (Na[ 18 F]F) PET/CT has emerged as a promising imaging technique for the early detection, monitoring and quantification of molecular NBF. Previous research confirmed Na[ 18 F]F bone uptake by histology. Notably, changes observed with Na[ 18 F]F PET/CT between 0 and 12 weeks were linked to clinical response to anti-TNF therapy at 24 weeks in axSpA [2]. Objectives: This study aims to investigate the early effect of secukinumab treatment on NBF in axSpA patients using Na[ 18 F]F PET/CT. Methods: AxSpA patients with a clinical diagnosis and fulfilling the ASAS criteria with a clinical indication to start secukinumab therapy and BASDAI ≥4 were included. A Na[ 18 F]F PET/CT scan covering skull base to mid-thigh was obtained at baseline before start of therapy and after 12 weeks of therapy. BASDAI, BASFI, BASMI and ASDAS were collected at baseline and 6, 12 and 24 weeks after start of therapy. Clinical response was based on ASAS20 response criteria at 24 weeks or if the patient stopped earlier due to primary non-response. PET data were assessed for positive lesions at baseline and 12 weeks. If a lesion was only visible at one of two time points, both time points were included to calculate change in uptake. Lesions were identified using a semi-automated method, employing a threshold based on the median standardized uptake value (SUVmedian) of the spine: for posterior axial lesions uptake >1.8 times higher and for anterior axial lesions uptake >2.25 times higher than the background. SUVpeak corrected for lean body mass was obtained for all positive lesions at baseline and 12 weeks. Lesional uptake between responders and non-responders was compared using the Mann-Whitney U test. Changes in uptake over time were analyzed using a random effects model to account for multiple lesions per patient. Results: 15 active axSpA patients starting secukinumab therapy were included between December 2018 and December 2022. One patient was only scanned at baseline, and was therefore excluded from analysis. Median disease duration was 5 years, median age 49 years, 5/14 were female, 6/14 HLA-B27+ (1 unknown) and median ASDAS was 3.4. At 24 weeks, 7 out of 14 patients were identified as clinical responders. All patients had >1 PET-positive lesions at baseline. Figure 1 shows the distribution of PET-positive lesions in the cohort. In total, 404 PET-positive lesions were identified that were visible at one or both timepoints, of which 89% were visible at baseline and 81% at week 12. The number of positive lesions varied from 5 to 64 per patient with a median of 22 lesions. 56% of PET-positive lesions were found at the thoracic level, of which 108 (48% of thoracic lesions) were located in the costovertebral joints. In total, 85 (21%) positive lesions were located in the facet joints. Interestingly, 78% of positive facet lesions were found in responders. Quantitively, overall baseline lesional uptake was higher in responders compared to non-responders (mean SUVpeak 8.26 vs 7.28, p<.05 at lesion level). Figure 2 shows the lesional SUVpeak values per type of lesion. In most lesions a quantitative decrease of Na[ 18 F]F uptake was found after 12 weeks of secukinumab treatment. A trend toward a higher decrease in facet joints and costovertebral joints in responders was observed, although the difference did not reach statistical significance. Conclusion: This study demonstrates a quantitative reduction of axial NBF measured by Na[ 18 F]F uptake on PET/CT after 12 weeks of secukinumab therapy. Treatment responders showed higher overall baseline Na[ 18 F]F uptake and a trend towards higher decrease in the facet and costovertebral joints compared to non-responders, although these differences did not reach statistical significance. The data point at inhibition of NBF in the axial skeleton by secukinumab already at 12 weeks of treatment. Moreover, higher molecular NBF activity at baseline may be indicative for a higher likelihood to respond to secukinumab treatment at 24 weeks. REFERENCES: [1] van Tok, Melissa N., et al. "Interleukin‐17A inhibition diminishes inflammation and new bone formation in experimental spondyloarthritis." Arthritis & rheumatology 71.4 (2019): 612-625. [2] Bruijnen, Stefan TG, et al. "Bone formation in ankylosing spondylitis during anti-tumour necrosis factor therapy imaged by 18F-fluoride positron emission tomography." Rheumatology 57.4 (2018): 631-638. Acknowledgements: NIL . Disclosure of Interests: Sam Groothuizen: None declared, Wouter R.P. van der Heijden: None declared, Jerney de Jongh J. de Jongh is since may 2023 employed by TEVA Pharmaceuticals, Marleen G.H. van de Sande Benecke, Janssen, Eli Lilly, Novartis, UCB, Janssen, Novartis, UCB, Abbvie, Janssen, Novartis, UCB, Gerben J.C. Zwezerijnen: None declared, Robert Hemke: None declared, Conny J. van der Laken This study was financially supported by Novartis (investigator initiated study). © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,319
Écart entre enseignants0,304 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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