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Recruiting NCT07343336

Landscape of Gout in French Polynesia.

Observational Gout Disease Metabolic Diseases Inflammation

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Epidemiological study, Blood and urine tests.
Who it may be relevant to
Registry conditions: Gout Disease, Metabolic Diseases, Inflammation. Basic parameters: 18 years — 75 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
French Polynesia
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

FENUA-METABOGOUT : Genetic Landscape of Gout, Inflammation and Metabolic Diseases in French Polynesia.

Overview

The aim of this research is to characterise the genetic and molecular landscape of gout, inflammation and metabolic diseases, as well as the associated molecular, anthropomorphic and pathological characteristics.

Detailed description

Recent work by the GHICL has highlighted the imminent public health problem represented by gout and hyperuricaemia in French Polynesia, with gout affecting around 15% and hyperuricaemia 71.6% of the adult population.

Hyperuricaemia is defined as a serum urate level above the saturation point, leading to its crystallisation under biological conditions. It is generally accepted that hyperuricaemia (HU) begins at 6.0 mg/dL (360 µmol/L).

The best-known consequence of hyperuricaemia is the development of gout, which results from the inflammatory response to the presence of monosodium urate (MSU) crystals in and around the joints. The factors modulating the deposition of MSU crystals in HU are poorly understood and a potential genetic contribution is unknown. It is known that the inflammatory response to the presence of MSU crystal deposits causing gout flares is mediated by activation of the NLRP33 inflammasome, but there is significant variability in this inflammatory response within the same individual (irregular recurrence of flares), and between individuals. The exceptionally high prevalence of HU that have been identified in French Polynesia represents a major health burden, as hyperuricaemia and gout are associated with many other cardiometabolic diseases.

For example, hyperuricaemia, BMI and type 2 diabetes are all associated with the risk of gout. The association between gout and cardiovascular events is also well known, and is thought to be mediated by a persistent inflammatory state. These data are particularly relevant in the context of French Polynesia where, in addition to high rates of gout and HU, a prevalence of obesity of over 40% (BMI \>30kg/m2) and a prevalence of diabetes (based on HBA1c measurements) of over 13% was previously identified by the same team.

This last point is particularly striking as the prevalence of diabetes based on self-reported diagnosis was only 7%, indicating that many people are probably undiagnosed and therefore untreated. A better understanding not only of the mechanism and causal link between these conditions and risk factors, but also of the genetic basis of the disease, could lead to the development of therapies and to the improvement in diagnosis. This is particularly crucial in French Polynesia, where hyperuricaemia and its pathological effects on cardiometabolic health affect a large proportion of the adult population.

Here a multi-pronged approach to take advantage of a previous study named 'TOPATA' (NCT04812886) performed previously in French Polynesia, is proposed. The idea is to expand the existing cohort, in order to identify the genetic effectors contributing to the high rates of metabolic diseases previously observed, and to track the longitudinal impacts of HU.

Interventions

  • Other Epidemiological study
    Collection of sociodemographic data, collection of treatment data, standard and clinical ophthalmological examination, physical and biological measurements, clinical characteristics specific to chronic and metabolic diseases, questionnaires (gout questionnaire, health assessment questionnaire (HAQ-II), EuroQol (EQ)-5D-5L, joint pain, state of health, diet and physical activity, access to care, addictions, sleep quality, pain scale (EVA), personal and family history) will be performed.
  • Diagnostic test Blood and urine tests
    Collection of blood and urine samples for genetic, biochemical, omics, and biobank analyses, in order to characterize cardiometabolic health markers will be performed.

Primary outcome measures

  • GWAS-identified associations between population-enriched genetic variants and health-related traits [Time frame: 12 month]
Secondary outcome measures (9)
  • Multiple correlation between gout, hyperuricemia, type 2 diabetes and obesity [Time frame: 12 month]
  • Incidence rate of gout or HU in French Polynesia between 2021 and 2025 [Time frame: 4 years]
  • Proportion of each type of urate-lowering therapy prescribed annually between 2019 and 2025 [Time frame: 4 years]
  • Incidence of major adverse cardiovascular events (MACE) in patients with gout, diabetes, or obesity [Time frame: 12 month]
  • Determinants of progression from asymptomatic hyperuricemia (in 2021) to gout (in 2025) [Time frame: 4 years]
  • Multiple correlation between metabolic changes and disease evolution [Time frame: 12 month]
  • Multiple correlation between molecular, clinical features and gout severity [Time frame: 12 month]
  • Multiple correlation between gout attacks, clinical manifestations, gene expression, proteomic, and metabolomic profiles. [Time frame: 12 month]
  • Change in clinical and molecular characteristics of acute gout flares between baseline and 1-week visit [Time frame: one week]

Eligibility criteria

Inclusion criteria

All participants:

  • Age between 18 and 75 years old inclusive
  • Signature of informed consent
  • Fasting for the collection of biological samples
  • Declared Polynesian ancestry
  • Affiliated to a social security scheme

General population group :

  • Not having participated to the 2021 TOPATA study
  • Visiting a general practitioner (for whatever reason)

Gout Group :

  • Managed at the rheumatology clinic of the Taaone Hospital Centre (CHT) in Papeete by Dr Baptiste Gérard.

Tophaceous gout sub-group:

  • Present with tophaceous gout.

Gout crisis subgroup:

  • Be within 48 hours of the onset of a gout attack
  • Agree to return 1 week after inclusion for the second blood and urine sample.

2021 follow-up group:

  • To have been included in the TOPATA study in 2021
  • Have taken the genetic and biological samples that generated the genetic and serum urate data for the 2021 study
  • Have hyperuricaemia without signs of gout OR without hyperuricaemia or gout at the time of inclusion in TOPATA

Exclusion criteria

All participants :

  • Refusal or inability to understand or give consent
  • Physical inability to follow and respect the protocol
  • 1st degree relative\*,
  • Person under guardianship or trusteeship
  • Pregnant or breast-feeding woman

\* If several relatives from the same household are eligible to participate, only one person may be included in the study. The choice is left to the discretion of the investigator or the first person met. However, both members of a couple (e.g. husband and wife) may participate.

  • General population group :
  • Unable to return for sampling if required.
  • Gout group :
  • Person wearing a knee prosthesis
  • People suffering from other inflammatory rheumatic diseases

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Cohort

Study locations

French Polynesia · 6 centers
  • Medical Office Dr Antoine Scuiller — Faa'a
  • Medical Office Dr Cedric Gueguen — Papeete
  • Medical Office Dr Voradeth Nouanesengsy — Papeete
  • CH de Polynesie Française Papeete — Pirae
  • Medical Office Dr Nanethida Nouanesengsy — Pirae
  • Medical Office Dr Raphael Habib — Pirae

Identifiers

NCT: NCT07343336 · RC-P00126

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗