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Ticopa Serum Analysis: an Analysis of Blood Samples From the TICOPA Study

14 aprile 2022 aggiornato da: Philip Helliwell, University of Leeds

Analysis of TICOPA (TIght COntrol of Psoriatic Arthritis) Serum Samples

A range of different drugs are available to treat psoriatic arthritis (PsA) inflammation. However, clinicians are unable to predict who will respond well to a given drug, who will fail to respond and who will develop side effects. Responder/non-responder effects may also differ for the skin and joint domains of PsA. Patients currently undergo a trial and error phase of treatment, sometimes withstanding a period of nonresponse, and thus pain and discomfort, for a period of time. Treatment failures also waste resources and undermine patient confidence. There is a pressing need to identify predictors for response / non response and side effects, and this study will utilise novel bioinformatics approaches to address this need. The samples and clinical information collected from participants in the TICOPA (Effect of tight control of inflammation in early psoriatic arthritis) study (1) are a valuable resource. The investigators aim to use these existing serum samples to determine the potential of molecular markers to predict patients' response to treatment both with regard to effects and side effects. This analysis could potentially lead to the identification of serum and clinical parameters which when measured in a defined combination would be predictive of patients' response to treatment.

1 https://doi.org/10.1016/S0140-6736(15)00347-5

Panoramica dello studio

Stato

Attivo, non reclutante

Condizioni

Descrizione dettagliata

  1. INTRODUCTION 1.1. Background Psoriatic Arthritis (PsA) is estimated to occur in 10-15% of individuals with psoriasis, and accounts for 13% of people attending early arthritis clinics.Two thirds of patients with PsA suffer chronic inflammation causing progressive joint damage, disability and reduced life expectancy. With an increasing awareness of the poor outcomes associated with PsA, and the availability of new effective, but costly, treatments, there is an urgent need to establish the optimal treatment for patients with PsA.

    The TICOPA study was a UK multicentre, open-label, randomised controlled, parallel group trial of 206 patients with early PsA, randomised on a 1:1 basis to receive either standard care (12 weekly review) or intensive management (4 weekly review) for a period of 48 weeks. Patients assigned to the intensive management group followed a strict treatment protocol whereby dose continuation/escalation was determined through the objective assessment of the minimal disease activity (MDA) criteria. Patients assigned to the standard care group received standard care as felt appropriate by the treating clinician, with no set protocol. The aim of the TICOPA study was to establish whether, in treatment naïve early PsA patients, intensive management with evidence based therapies would improve clinical outcome, the principle hypothesis being that tight control of inflammation in psoriatic arthritis using a treatment protocol and pre-defined objective targets for treatment would lead to an improvement in patients disease activity. The trial aimed to establish the superiority of intensive management as compared to standard care as defined by the ACR 20 (American Society of Rheumatology).

    The TICOPA trial provided direct evidence that the use of early and intensive treatment in PsA in routine clinical care leads to an improvement in patients' disease activity. Participants received the following systemic therapies: MTX (methotrexate), sulfasalazine, TNFi (tumor necrosis factor inhibitor), leflunomide and CsA (cyclosporine). Almost all patients received initial or ongoing treatment with MTX.

    The folic acid antagonist MTX remains in clinical use as a standard systemic therapy for psoriatic inflammation of both the skin and joint components of PsA. MTX inhibits dihydrofolate-reductase competitively, reducing metabolism dihydrofolic acid to tetrahydrofolic acid which results in suppression of the intracellular synthesis of various folic acid derivatives. MTX has a range of known side-effects , particularly hepatotoxicity.5 Quite a significant proportion of patients discontinue MTX due to side effects, including nausea and hepatotoxicity. Clinicians are currently unable to predict who is likely to suffer from side effects leading to discontinuation of the drug. This study will seek to predict which treatment works best for a given patient and which treatment will cause side effects.

    The samples and clinical information collected from participants in the TICOPA study are a valuable resource. The investigators aim to use existing serum samples to determine the potential of molecular markers to predict patients' response to treatment both with regard to effects and side effects. This analysis could potentially lead to the identification of serum and clinical parameters which when measured in a defined combination would be predictive of patients' response to treatment.

    Previously, blood samples from the TICOPA study have undergone mass spectrometry (MS) analysis which identified over 200 candidate peptides that might predict treatment response.6 However MS analysis is limited in its ability to detect proteins in low abundance, and this is true for pathogenetic relevant cytokines and other inflammation and metabolic related mediators. Furthermore, MS analysis is restricted to proteins and - as performed - fail to measure lipid mediators or small RNA molecules such as microRNAs.

    For these reasons, the investigators propose to analyse these samples using ELISA (enzyme-linked immunosorbent assay)based techniques. By using multiplex ELISA based, and other standard techniques to measure inflammation or metabolic related parameters in these serum samples, and performing AI (artificial intelligence) based analysis methods, the investigators aim to identify predictive "markers and patterns" for response to therapy in this well-defined patient cohort.

    1.2. Rationale for the proposed study A range of different drugs are available to treat psoriatic arthritis (PsA) inflammation. However, clinicians are unable to predict who will respond well to a given drug, who will fail to respond and who will develop side effects. Responder / non-responder effects may also differ for the skin and joint domains of PsA. Patients currently undergo a trial and error phase of treatment, sometimes withstanding a period of nonresponse, and thus pain and discomfort, for a period of time. Treatment failures also waste resources and undermine patient confidence. There is a pressing need to identify predictors for response / non response and side effects, and this study will utilise novel bioinformatics approaches to address this need.

  2. STUDY AIM AND OBJECTIVES 2.1. Study aim This study aims to analyse inflammation and metabolic parameters utilizing serum samples provided by a cohort of TICOPA study participants. These results will be used in combination with TICOPA clinical data to determine the predictive value of parameters regarding patients' response to therapy. The analysis will make use of AI analysis methods to achieve this goal.

    2.2. Primary objective Predict effects and response to therapy using TICOPA clinical data in combination with measured serum parameters.

    2.3. Secondary objective(s) Predict response to therapy using TICOPA clinical data in combination with measured serum parameters specific to the skin and MSK (musculoskeletal) components of PsA.

  3. STUDY ENDPOINTS Primary Endpoint Completion of an AI prediction model for AE Secondary Endpoint(s) Completion of an AI prediction model for treatment response
  4. SELECTION AND WITHDRAWAL OF SUBJECTS The sample pool comprises those TICOPA participants who signed an informed consent form allowing their data and samples to be used for future studies.
  5. METHODS OF ASSESSMENT 5.1. Data handling All patient clinical data and serum samples were collected in line with the ethics of the original TICOPA trial. Data involved in this project is linked-anonymised with only the patients' trial number available as reference. Only the CI and research coordinator have access to this linkage, which is held on the University of Leeds' password protected secure server. The CI for this study was the CI for the TICOPA study and the research coordinator was also involved in the TICOPA study. No other members of the current study team will have access to the linkage.

    5.2. Sample handling Samples are currently held in storage at the Leeds Institute of Rheumatic and Musculoskeletal Medicine (UoL) laboratory based at Chapel Allerton Hospital, aliquots will be transported to the UoL School of Molecular and Cellular Biology for analysis by one of the study team. Analysis will mainly use ELISA based multiplex techniques for inflammation and metabolic related parameters. However, if indicated by new findings in the literature relevant lipid mediators or microRNAs may also be determined using appropriate standard laboratory techniques.

  6. DATA EVALUATION Univariate analysis will be performed for each new variable measured and the predictive targets of this project. Predictive algorithms such as random forest and support vector machines will then be trained and evaluated on the identified predictive targets using the data set as a whole and selected subsets.

Tipo di studio

Osservativo

Iscrizione (Effettivo)

82

Contatti e Sedi

Questa sezione fornisce i recapiti di coloro che conducono lo studio e informazioni su dove viene condotto lo studio.

Luoghi di studio

      • Leeds, Regno Unito, LS9 4NZ
        • University of Leeds

Criteri di partecipazione

I ricercatori cercano persone che corrispondano a una certa descrizione, chiamata criteri di ammissibilità. Alcuni esempi di questi criteri sono le condizioni generali di salute di una persona o trattamenti precedenti.

Criteri di ammissibilità

Età idonea allo studio

18 anni e precedenti (Adulto, Adulto più anziano)

Accetta volontari sani

No

Sessi ammissibili allo studio

Tutto

Metodo di campionamento

Campione non probabilistico

Popolazione di studio

Patients attending out patient clinics who had active untreated psoriatic arthritis and who had blood samples for research at several time points after treatment started

Descrizione

Inclusion Criteria

- treatment naive patients with early psoriatic arthritis

Exclusion Criteria

  • previous treatment with systemic therapy
  • other inflammatory arthritis

Piano di studio

Questa sezione fornisce i dettagli del piano di studio, compreso il modo in cui lo studio è progettato e ciò che lo studio sta misurando.

Come è strutturato lo studio?

Dettagli di progettazione

Cosa sta misurando lo studio?

Misure di risultato primarie

Misura del risultato
Misura Descrizione
Lasso di tempo
Serum markers
Lasso di tempo: 12 months
The investigators will measure inflammatory mediators as expressed by the innate immune cells and leukocyte subpopulations. We will also include mediators related to metabolic status.
12 months

Collaboratori e investigatori

Qui è dove troverai le persone e le organizzazioni coinvolte in questo studio.

Studiare le date dei record

Queste date tengono traccia dell'avanzamento della registrazione dello studio e dell'invio dei risultati di sintesi a ClinicalTrials.gov. I record degli studi e i risultati riportati vengono esaminati dalla National Library of Medicine (NLM) per assicurarsi che soddisfino specifici standard di controllo della qualità prima di essere pubblicati sul sito Web pubblico.

Studia le date principali

Inizio studio (Effettivo)

1 aprile 2022

Completamento primario (Anticipato)

31 marzo 2023

Completamento dello studio (Anticipato)

31 marzo 2024

Date di iscrizione allo studio

Primo inviato

6 aprile 2022

Primo inviato che soddisfa i criteri di controllo qualità

14 aprile 2022

Primo Inserito (Effettivo)

15 aprile 2022

Aggiornamenti dei record di studio

Ultimo aggiornamento pubblicato (Effettivo)

15 aprile 2022

Ultimo aggiornamento inviato che soddisfa i criteri QC

14 aprile 2022

Ultimo verificato

1 aprile 2022

Maggiori informazioni

Termini relativi a questo studio

Altri numeri di identificazione dello studio

  • 310813
  • 22/EM/0059 (Altro identificatore: UK Ethics Committee)

Piano per i dati dei singoli partecipanti (IPD)

Hai intenzione di condividere i dati dei singoli partecipanti (IPD)?

NO

Informazioni su farmaci e dispositivi, documenti di studio

Studia un prodotto farmaceutico regolamentato dalla FDA degli Stati Uniti

No

Studia un dispositivo regolamentato dalla FDA degli Stati Uniti

No

Queste informazioni sono state recuperate direttamente dal sito web clinicaltrials.gov senza alcuna modifica. In caso di richieste di modifica, rimozione o aggiornamento dei dettagli dello studio, contattare register@clinicaltrials.gov. Non appena verrà implementata una modifica su clinicaltrials.gov, questa verrà aggiornata automaticamente anche sul nostro sito web .

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