NCT06206486

Brief Summary

Study Summary Nearly half (47%) of people with end-stage kidney disease (ESKD) whose kidney function is restored after kidney transplantation experience chronic pain compared to 19% of adults in the US general population. Pain is associated with comorbid fatigue, depression and anxiety, and withdrawal from usual physical and social activities; resulting in an inability to participate in and enjoy life. Severe pain can result in nonadherence to immunosuppression and treatment protocols and result in an increased risk of rejection, graft loss, and mortality. The role of symbiotic microbes (microbiota) in the gastrointestinal tract, and their functional genes (microbiome), is well established in diseases involving pain. Diet and stress play a major role in synthesis of signaling molecules critical to immunologic, metabolic, and endocrine pathways regulating chronic pain. Dietary patterns change dramatically after transplantation, as recipients move from a restricted "renal" diet to a regular diet, often resulting in increased consumption of foods high in sugars and fat. Moreover, psychological stress significantly impairs the function of the microbiome, initiating biological pathways involved in pain, leading to a disproportionate pain burden. Because the microbiome, serum metabolites, and pain are dynamic, our novel investigation will employ a prospective repeated measures design to interrogate the dynamic temporal relationships between the microbiome, metabolites associated with pathways regulating pain, transplantation factors (e.g. immunosuppression, kidney function), changing dietary patterns, and perceived stress, on pain scores before and after kidney transplantation. The investigators posit the gut microbiome, and its byproducts, may partially explain the underlying biological mechanisms of pain Interference in kidney disease. The investigators will address three aims: 1) To determine differential dynamic temporal relationships between microbial composition/functional genes and circulating serum metabolites in KTRs with pain vs no pain, 2) To determine the moderation effects of diet and perceived stress on dynamic temporal relationships between microbiome features, serum metabolites, and pain scores among KTRs, and 3) To use machine learning algorithms to identify host-microbial interactions that are causally linked to pain interference among KTRs. Because kidney function is restored, the kidney transplant model is powerful to study the longitudinal relationships between the microbiome, circulating metabolites and chronic pain in people with ESKD to develop patient-centered interventions to treat pain across the spectrum of CKD.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
133

participants targeted

Target at P50-P75 for all trials

Timeline
23mo left

Started Oct 2023

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress59%
Oct 2023Mar 2028

Study Start

First participant enrolled

October 9, 2023

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

January 4, 2024

Completed
12 days until next milestone

First Posted

Study publicly available on registry

January 16, 2024

Completed
3.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2027

Expected
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2028

Last Updated

February 27, 2025

Status Verified

February 1, 2025

Enrollment Period

4 years

First QC Date

January 4, 2024

Last Update Submit

February 25, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • PROMIS

    Patient Reported Outcomes Measurement System

    baseline, 3 months, 6 months (T scores range form 0-100, higher scores indicate worse level of symptoms).

Secondary Outcomes (1)

  • PSS

    baseline, 3 months, 6 months

Other Outcomes (1)

  • Vioscreen

    baseline, 3 months, 6 months

Interventions

This study is observational. No intervention description available.

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Kidney Transplant Recipients

You may qualify if:

  • Receiving a kidney transplant at the University of Illinois Hospital \& Health Sciences System (UI Health) Transplant Center at the University of Illinois Chicago (UIC),
  • years of age or older (adult), and
  • Understand the study process and provide written informed consent to participate.

You may not qualify if:

  • Having taken systemic antimicrobials (except prophylactic penicillin) in the preceding 4 weeks.
  • Having received a previous solid organ transplant.
  • History of colon cancer or of an inflammatory bowel disease.
  • Planning to receive a multiorgan transplant (e.g., simultaneous pancreas and kidney transplant).
  • Having a history of Clostridium difficile infection in the preceding 8 weeks.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UI Health

Chicago, Illinois, 60612, United States

RECRUITING

Biospecimen

Retention: SAMPLES WITH DNA

bacterial DNA for fecal samples to assess microbiome features. No human DNA will be retained for this study

Central Study Contacts

Mark Lockwood

CONTACT

Gullermo Zamora

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
associate professor

Study Record Dates

First Submitted

January 4, 2024

First Posted

January 16, 2024

Study Start

October 9, 2023

Primary Completion (Estimated)

October 1, 2027

Study Completion (Estimated)

March 1, 2028

Last Updated

February 27, 2025

Record last verified: 2025-02

Data Sharing

IPD Sharing
Will not share

Locations