Genetic of Chronic Kidney Disease and Gout in New Caledonia

Lille Catholic University1,858 enrolled

Overview

The goal of this research is to study the associations of genetic variants of gout and kidney failure, which are very common in the Melanesian population in New Caledonia

Gout is a chronic pathology linked to the deposition in the tissues of monosodium urate (MSU) crystals, secondary to hyperuricemia (high blood levels of urate). Gout causes very painful joint attacks that are first acute and then lead to chronic pain, and disabling deforming manifestations called tophus. The disease is strongly associated with cardiovascular comorbidities and chronic renal failure. In New Caledonia, the prevalence of chronic kidney disease (CKD) (according to the glomerular filtration rate (GFR) \< 60 ml/min) was of 7.4% in 2015 (according to the epidemiological study "Barometer Health 2015"). In the Loyalty Islands, which has overall significantly more Melanesian population, a local database showed that in 2018 the prevalence of patients having at least one blood test reporting kidney disease (GFR CKD\< 60 ml/min) and seen at least once in the previous two years was as follows: * 7.7% in Lifou (9,200 inhabitants) * 8.4% in Maré (5,700 inhabitants) * 9.1% in Ouvéa (3,400 inhabitants) In summary, inflammatory diseases such as CKD and gout have high prevalence in New Caledonia and the Loyalty Islands, and constitute a major health issue. Although the high prevalence of these diseases is probably due in part to non-genetic factors (environment, diet, etc.), it is likely, given the demographic history of this region, that undetected genetic risk alleles among the Melanesian population contribute to the appearance and progression of diseases. Performing genetic and epidemiological studies in an as yet understudied region is essential to identify these variants, which could lead to improved diagnoses and health outcomes.

Study Type

INTERVENTIONAL

Allocation

NON_RANDOMIZED

Purpose

OTHER

Masking

NONE

Enrollment

1,858

Conditions

Gout Renal Insufficiency, Chronic

Interventions

Epidemiological studyOTHER

Sociodemographic data collection, treatments collection, physical assessment, clinical examination and physical and biological measurements, biological evaluation (blood and urine samples), CKD-specific clinical features collection, gout-specific clinical features collection, clinical characteristics specific to chronic diseases, questionnaires (Health Assessment Questionnaire (HAQ-II), EuroQol (EQ)-5D-5L, joint pain, state of health, diet and physical activity, access to care, addictions, pain scale (EVA), personal and family history)

Eligibility

Sex: ALLMin age: 18 YearsMax age: 80 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: Criteria common to the 3 cohorts : \- Consenting to participate in the study and having signed the informed consent \- Claiming to be of Melanesian ethnicity 1. Patients with gout : * Age: 18 - 70 years old * To be included in the study, a patient with a diagnosis of gout in his medical file or declaring to have gout will have to satisfy to the ACR/EULAR (ref) classification criteria : 1. have had at least one episode of swelling, pain spontaneous, or triggered by pressure, of a joint peripheral or a bursa AND evidence of sodium urate crystals in a joint or bursitis symptomatic or by puncture of a tophus reported in his medical file. 2. Or Score \> or =8 according to ACR/EULAR clinical criteria 2. Patients with CKD * Age: 18 - 70 years old * Patients on dialysis or CKD clinically diagnosed on the basis of: 1. Markers of kidney damage (one or more) : Albuminuria (ACR ≥ 30 mg/g), Urinary sediment abnormalities (e.g., casts urinary), Electrolyte abnormalities and other, abnormalities due to tubular disorders (eg, hyperkalemia), abnormalities detected by histology, structural abnormalities detected by imaging (e.g.,USG), history of kidney transplantation 2. Decreased kidney function: GFR \< 60 ml/min/1.73 m² (calculated according to the Chronic Kidney Disease - EPIdemiology formula: CKD-EPI) 3. Controls cohort * Absence of gout or CKD * Age: 30 - 80 years old Exclusion Criteria: * Pregnant women * Individuals under guardianship / curatorship / judicially incapacitated

Locations (1)

Medical Center of Wé (Lifou Island)

Noumea, New Caledonia

Outcomes

Primary Outcomes

Genome-wide association study (GWAS) in gout

GWAS is a research approach used to identify genomic variants that are statistically associated with a risk for a disease or a particular trait. The method involves surveying the genomes of many people, looking for genomic variants that occur more frequently in those with a specific disease or trait compared to those without the disease or trait. Once such genomic variants are identified, they are typically used to search for nearby variants that contribute directly to the disease or trait.

Time frame: 8 months

Phenome-wide association studies (PheWAS) in gout

PheWAS will be used to analyze many phenotypes compared to a single genetic variant (or other attribute).

Time frame: 8 months

GWAS in CKD

Genome-wide association study (GWAS) and Phenome-wide association studies (PheWAS) will be used. GWAS is a research approach used to identify genomic variants that are statistically associated with a risk for a disease or a particular trait. The method involves surveying the genomes of many people, looking for genomic variants that occur more frequently in those with a specific disease or trait compared to those without the disease or trait. Once such genomic variants are identified, they are typically used to search for nearby variants that contribute directly to the disease or trait. PheWAS will be used to analyze many phenotypes compared to a single genetic variant (or other attribute).

Time frame: 8 months

PheWAS in CKD

PheWAS will be used to analyze many phenotypes compared to a single genetic variant (or other attribute).

Time frame: 8 months

Secondary Outcomes

Metabolomic profile in gout

Metabolomics profiling will be conducted using ultrahigh-performance liquid chromatography-tandem mass-spectrometry by the metabolomics provider Metabolon Inc. (USA) on fasting serum samples from participants. The metabolomic dataset measured by Metabolon includes known metabolites containing the following broad categories - amino-acids, peptides, carbohydrates, energy intermediates, lipids, nucleotides, cofactors and vitamins, and xenobiotics.

Data from ClinicalTrials.gov

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