Immune Mediators and Metabolites to Stratify Systemic Lupus Erythematosus Patients at High Risk of Cardio Vascular Diseases (ISLE)

January 30, 2026 updated by: University Hospital, Bordeaux

Accelerated atherosclerosis is an established complication of systemic autoimmune diseases, particularly SLE. Young female patients with SLE are more likely to develop myocardial infarction than matched healthy controls, and CVD is nowadays one of the most common causes of death (27%) in lupus patients. While traditional CV risk factors cannot explain such increased CV morbidity associated with SLE, common disease factors shared between SLE, atherosclerosis and treatment exposure may be of outmost importance in this process. Our group made 3 findings of particular interest that could link SLE pathogenesis and atherosclerosis-associated immune dysregulation: 1/ the investigators identified specific immunometabolites (circulating nucleotide-derived metabolites adenine and N4-acetylcytidine), which are increased in the circulation of SLE patients. These immunometabolites trigger a constitutive inflammasome activation resulting in aberrant IL1-β production. Given that IL1-β inhibition was reported to significantly reduce CV events without altering lipid levels, the investigators propose that these immunometabolites may represent novel candidate biomarkers of CV risk stratification in SLE. 2/ the investigators identified OX40L as an important costimulatory molecule implicated in follicular helper T cell (Tfh) activation in SLE. Interestingly, OX40L polymorphism has been associated to both SLE and atherosclerosis, and Tfh have been recently shown to accelerate atherosclerosis progression. 3/ Immune complexes-activated platelets sustain aberrant immune response in SLE and block immunosuppressive functions of regulatory T cells (Tregs) in a P-selectin/PSGL1 dependent manner. Selectins and Tregs cell dysfunction are well accepted players in atherosclerosis pathogenesis.

Thus there are multiple pathways that are shared between SLE and atherosclerosis and that may results in an increased risk of CV-associated morbidity in SLE patients. Exploring these interconnected pathways in SLE patients together with traditional and other well-established disease-related factors, might lead to a better stratification of CV risk in SLE.

The aim of this study is to investigate the accuracy, predictive value and utility of immunological disease-related biomarkers in stratifying CV risk in patients with SLE.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

500

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Bordeaux, France
        • CHU de Bordeaux - service de médecine interne
      • Brest, France
        • CHU de Brest - Service de rhumatologie
      • Lille, France
        • CHRU de Lille - service de Médecine Interne
      • Paris, France
        • AP-HP - Hôpital Cochin - service de Médecine Interne
      • Strasbourg, France
        • CHU de Strasbourg - service d'Immunologie Clinique
      • Freiburg im Breisgau, Germany
        • Universität Freiburg

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Adult patient aged over 18 years old.
  • SLE diagnosis according to the 2019 European League Against Rheumatism (EULAR) / American College of Rheumatology (ACR) Classification Criteria for Systemic Lupus Erythematosus
  • Having signed an informed consent (at the latest on the day of inclusion and before any examination required by research).

Exclusion Criteria:

  • Pregnancy or breast-feeding for woman.
  • Person concerned by articles L 1121-5 to L 1121-8 (persons deprived of their liberty by a judicial or administrative decision, minors, persons of legal age who are the object of a legal protection measure or unable to express their consent

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Systemic lupus erythematosus (SLE)
35 ml whole blood for Peripheral blood mononuclear cell (PBMC), serum and plasma
assessment of atherosclerotic plaques and measurement of carotid intima-media thickness (cIMT)
Food and exercise questionnaires validated by the American heart Association

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Proportion of patients who show atherosclerotic plaque progression defined by the absence of carotid plaque in patients at baseline and its subsequent development at follow-up evaluated by semi-automated 3D vascular ultrasound
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportion of patients who show carotid Intima Media Thickness (cIMT) progression measured in the common carotid artery, at the bulb and the origin of the internal carotid artery
Time Frame: At baseline (Day 0) and 18 months from baseline
defined as an increase of 0.1mm or more evaluated by vascular ultrasound.
At baseline (Day 0) and 18 months from baseline
Proportion of patients with atherosclerotic plaques
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients with hypertension
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients with Body Mass Index around 30 or more
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients who are smokers or past-smokers
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients who present a history of ischemic heart disease
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients who present a history of cerebral vascular accident
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Proportion of patients who present a history of peripheral artery disease
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in waist size in centimeters
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in blood glucose levels in milligram per deciliter
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in total cholesterol levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in HDL cholesterol levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in LDL cholesterol levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in triglycerides levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in Very Low Density Lipoprotein (VLDL) levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in C-Reactive protein levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in insulin levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in lupus disease activity according to Systemic Lupus Erythematosus Disease Activity Index (SLEDAI)
Time Frame: At baseline (Day 0) and 18 months from baseline
score (Min value: 0 - Max value: 105), with higher values mean higher disease activity.
At baseline (Day 0) and 18 months from baseline
Change in lupus disease activity according to Systemic Lupus International Collaborating Clinics /American College of Rheumatology (SLICC/ACR) damage index
Time Frame: At baseline (Day 0) and 18 months from baseline
(Min value: 0 - Max value: 47), with higher values mean more important damages.
At baseline (Day 0) and 18 months from baseline
Change in glucocorticoids intake
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in platelets-derived biomarkers (P-selectin, sCD154) in micrograms per milliliter, evaluated by Western Blot analysis.
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in neutrophils-derived biomarkers Proteins S100A8, A9, A8/9, and A12, IL-6 in micrograms per milliliter, evaluated by Western Blot analysis.
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in interleukin-6 levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in interleukin-12 levels
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in T-Follicular Helpers lymphocytes
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline
Change in myeloperoxidase-conjugated DNA levels in fluorescence intensity evaluated by fluorometric assay.
Time Frame: At baseline (Day 0) and 18 months from baseline
At baseline (Day 0) and 18 months from baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Patrick BLANCO, Prof, University Hospital, Bordeaux
  • Principal Investigator: Pierre DUFFAU, Prof, University Hospital, Bordeaux

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 10, 2021

Primary Completion (Estimated)

March 1, 2027

Study Completion (Estimated)

March 1, 2027

Study Registration Dates

First Submitted

February 12, 2020

First Submitted That Met QC Criteria

February 17, 2020

First Posted (Actual)

February 19, 2020

Study Record Updates

Last Update Posted (Actual)

February 3, 2026

Last Update Submitted That Met QC Criteria

January 30, 2026

Last Verified

January 1, 2026

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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