Genetic of Chronic Kidney Disease and Gout in New Caledonia (CALEDGOUTCKD)

November 25, 2024 updated by: Lille Catholic University

Genetic of Chronic Kidney Disease and Gout : Analysis of Melanesian Families From New Caledonia

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

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

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

Enrollment (Actual)

1858

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

      • Nouméa, New Caledonia
        • Medical Center of Wé (Lifou Island)

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

14 years to 76 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

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

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: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Patients with gout
Patients aged 18-70 with gout diagnosis in their medical record or claiming to have gout according to ACR/EULAR (American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) criteria.
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)
Experimental: Patients with CKD

Patients aged 18-70, in dialysis or with CKD clinically diagnosed on the basis of markers of kidney damage or decreased kidney function.

Patients will be recruited in dialysis centers of Wé and Maré and during the monthly nephrology consultations in medical centers.

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)
Placebo Comparator: Control group
Persons aged 30-80 without gout or CKD. The recruitment will be done among people visiting the medical centers of Lifou and Maré for administrative or vaccination reasons.
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)

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Genome-wide association study (GWAS) in gout
Time Frame: 8 months
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.
8 months
Phenome-wide association studies (PheWAS) in gout
Time Frame: 8 months
PheWAS will be used to analyze many phenotypes compared to a single genetic variant (or other attribute).
8 months
GWAS in CKD
Time Frame: 8 months
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).
8 months
PheWAS in CKD
Time Frame: 8 months
PheWAS will be used to analyze many phenotypes compared to a single genetic variant (or other attribute).
8 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Metabolomic profile in gout
Time Frame: 8 months
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.
8 months
Metabolomic profile in CKD
Time Frame: 8 months
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.
8 months
GWAS and severity of CKD according to glomerular filtration rate (GFR)
Time Frame: 8 months

GWAS will be used to identify genomic variants that are statistically associated with severity. Stage of severity according to GFR (mL/min/1.73m2):

  1. Mild renal impairment with normal or increased filtration : Over 90
  2. Mild decrease in renal function : 60-89
  3. Moderate decrease in renal function : 30-59
  4. Severe decrease in renal function : 15-29
  5. Renal failure: Less than 15 (or dialysis)
8 months
GWAS and severity of gout
Time Frame: 8 months

GWAS will be used to identify genomic variants that are statistically associated with severity.

Severity will be defined using four binary variables: number of attacks (cutoff six attacks per year), presence of clinical tophus (yes or no), uric acid level (>80 mg/L or 480 micromol/L) and age of onset (<30 years) .

8 months
Relation between CKD and sex
Time Frame: 8 months
Relation between CKD and sex (Male/ Female)
8 months
Relation between gout and sex
Time Frame: 8 months
Relation between gout and sex (Male/ Female)
8 months
Relation between CKD and age
Time Frame: 8 months
Relation between CKD and age
8 months
Relation between gout and age
Time Frame: 8 months
Relation between gout and age
8 months
Relation between CKD and Body Mass Index (BMI)
Time Frame: 8 months
Relation between CKD and Body Mass Index (BMI) in kg/m^2
8 months
Link between gout and Body Mass Index (BMI)
Time Frame: 8 months
Link between gout and Body Mass Index (BMI) in kg/m^2
8 months
Relation between CKD and the Body Fat Percentage
Time Frame: 8 months
Relation between CKD and the Body Fat Percentage in Percentage (%)
8 months
Relation between gout and the Body Fat Percentage
Time Frame: 8 months
Relation between gout and the Body Fat Percentage in Percentage (%)
8 months
Relation between CKD and Muscle Mass Percentage
Time Frame: 8 months
Relation between CKD and Muscle Mass Percentage in Percentage (%)
8 months
Relation between gout and Muscle Mass Percentage
Time Frame: 8 months
Relation between gout and Muscle Mass Percentage in Percentage (%)
8 months
Relation between CKD and Basal Metabolism
Time Frame: 8 months
Relation between CKD and Basal Metabolism in Joules
8 months
Relation between gout and Basal Metabolism
Time Frame: 8 months
Relation between gout and Basal Metabolism in Joules
8 months
Relation between CKD and Visceral Fat Percentage
Time Frame: 8 months
Relation between CKD and Visceral Fat Percentage in Percentage
8 months
Relation between gout and Visceral Fat Percentage
Time Frame: 8 months
Relation between gout and Visceral Fat Percentage in Percentage
8 months
Relation between CKD and height
Time Frame: 8 months
Relation between CKD and height in meters
8 months
Relation between gout and height
Time Frame: 8 months
Relation between gout and height in centimeters
8 months
Relation between CKD and waist size
Time Frame: 8 months
Relation between CKD and waist size in centimeters
8 months
Relation between gout and waist size
Time Frame: 8 months
Relationbetween gout and waist size in centimeters
8 months
Relation between CKD and hip circumference
Time Frame: 8 months
Relation between CKD and hip circumference in centimeters
8 months
Relation between gout and hip circumference
Time Frame: 8 months
Relation between gout and hip circumference in centimeters
8 months
Relation between CKD and waist/hip ratio
Time Frame: 8 months
Relation between CKD and waist/hip ratio
8 months
Relation between gout and waist/hip ratio
Time Frame: 8 months
Relation between gout and waist/hip ratio
8 months
Mendelian randomization
Time Frame: 8 months
Mendelian randomization uses measured variation in genes to interrogate the causal effect of an exposure on comorbidities development
8 months

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Thomas BARDIN, Hopital Lariboisiere

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 14, 2023

Primary Completion (Actual)

April 30, 2024

Study Completion (Actual)

April 30, 2024

Study Registration Dates

First Submitted

October 18, 2022

First Submitted That Met QC Criteria

November 2, 2022

First Posted (Actual)

November 7, 2022

Study Record Updates

Last Update Posted (Estimated)

November 27, 2024

Last Update Submitted That Met QC Criteria

November 25, 2024

Last Verified

November 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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