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Microbiota Changes Related to Outcomes in Kidney Transplantation

Microbiota Modifications After Kidney Transplantation: Impact on Immunomodulation and Clinical Outcomes

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07893691
Acronym
MICRO-KT
Enrollment
30
Registered
2026-10-26
Start date
2027-01-01
Completion date
2029-01-15
Last updated
2026-10-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

End-stage Renal Disease (ESRD), Kidney Transplantation

Keywords

gut microbiota, urinary microbiota, kidney transplantation, immunosuppression, tacrolimus, mycophenolate mofetil, dysbiosis, rejection, infection

Brief summary

Chronic kidney disease affects approximately 10% of the world population. End-stage renal disease (ESRD) is associated with immune dysregulation, chronic inflammation, and alteration of the gut and urinary microbiota. Kidney transplantation is the reference treatment for ESRD, but required immunosuppressive therapy further aggravates immune dysregulation and is associated with cardiovascular, metabolic and infectious complications. The gut microbiota plays a central role in modulating systemic immunity. In ESRD, microbiota composition is strongly altered. A recent study showed an association between gut dysbiosis and all-cause mortality in over 1,300 kidney transplant recipients. However, the mechanisms underlying deleterious microbiota modifications in transplant recipients remain poorly understood, particularly the respective roles of immunosuppressive treatment and renal function recovery. The MICRO-KT study hypothesizes that the programmed introduction of immunosuppressive therapy followed by partial or complete correction of ESRD after living-donor kidney transplantation induces quantitative and qualitative modifications of the fecal microbiota, and that specific microbial signatures are associated with clinical and immunological transplant outcomes. This prospective, single-center, longitudinal, interventional, single-arm cohort study will evaluate microbiota dynamics in 30 adult patients before and after living-donor kidney transplantation. Fecal samples are collected at 14 days before transplantation (before immunosuppression), the day before transplantation (after 4 days of immunosuppression), and 3 months post-transplantation. Urinary samples are collected at transplantation. Blood samples (serum, plasma, PBMCs) are collected at 3 timepoints for immunological and metabolomic analyses. The primary endpoint is to describe fecal microbiota beta-diversity dynamics (Bray-Curtis and Jaccard indices at genus level) across three timepoints. Secondary objectives evaluate associations between microbiota composition and clinical outcomes (rejection, infection, survival), immunosuppressant tolerance, drug levels, PBMC immunological profiles, metabolomic signatures, and dietary patterns.

Interventions

Fecal samples collected by patient at home or in hospital using standardized kits at 3 timepoints: V1 (14 days before transplantation, before immunosuppression), V2 (day before transplantation, after 4 days of immunosuppression), and V4 (3 months post-transplantation)

Urinary sample collected via indwelling catheter at V3 (day of transplantation).

OTHERBlood samples

Blood samples (serum 4 mL, plasma 8 mL, PBMCs 24 mL) collected at V1, V2, and V4 for immunological and metabolomic analyses. Microbiota analyzed by shotgun metagenomic sequencing.

OTHERSimplified dietary questionnaire

Simplified dietary questionnaire administered at V1 (14 days before transplantation), V4 (3-month follow-up visit), and V5 (6-month follow-up visit) to assess major food categories and evaluate their Spearman correlation with fecal microbiota composition and evolution after kidney transplantation.

Sponsors

Hospices Civils de Lyon
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adult patient (18 years of age or older) * Living-donor kidney transplantation * Initial triple immunosuppressive maintenance therapy: calcineurin inhibitor (tacrolimus) + purine synthesis inhibitor (mycophenolate mofetil) + steroids * Women of childbearing age: effective contraception required (required by the transplantation procedure and -immunosuppressive treatment, not by the study protocol itself) * Able to understand study objectives and risks and to provide dated signed written informed consent

Exclusion criteria

* Pregnant, parturient, or breastfeeding women * Persons deprived of liberty by judicial or administrative decision * Persons receiving psychiatric care or under legal protection (guardianship, curatorship) * Persons not affiliated with a social security scheme or equivalent * ABO-incompatible kidney transplantation * Ongoing immunosuppressive treatment or discontinued less than 3 months ago (conventional treatments) or less than 6 months ago (immunosuppressive immunotherapy) * Antibiotic therapy within 3 weeks before inclusion * History of bariatric surgery or gastrointestinal tract resection (excluding appendectomy or cholecystectomy performed more than 12 months prior) * Chronic inflammatory bowel disease * Currently participating in another interventional study with an exclusion period still in effect and potentially interfering with the present study, per investigator judgment

Design outcomes

Primary

MeasureTime frameDescription
Change in Fecal Microbiota Beta-Diversity (Bray-Curtis and Jaccard Indices) at the Genus Taxonomic LevelFrom V1 (14 days before transplantation, before immunosuppression) to V2 (day before transplantation, after 4 days of immunosuppression)Comparative analysis of fecal microbiota composition using beta-diversity indices (Bray-Curtis and Jaccard) at the genus taxonomic level, determined by shotgun metagenomic sequencing (Illumina NovaSeq). Statistical comparison performed by PERMANOVA (999 permutations). Alpha-diversity indices (Chao1, Shannon) assessed by Wilcoxon test. Differential taxon analysis performed using Maaslin3 (R software).

Countries

France

Contacts

CONTACTDr Xavier CHARMETANT
xavier.charmetant01@chu-lyon.fr+33 4 27 85 80 00
PRINCIPAL_INVESTIGATORXavier CHARMETANT, MD, PhD

Hospices Civils de Lyon

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Oct 27, 2026