Impact of Humid-Heat on Gut-Tryptophan-Stone Pathway
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
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Kidney Calculi, Ureteral Calculi. Basic parameters: from 18 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
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
A Mechanistic Study on How Humid and Hot Environment Promotes Urinary Tract Stone Formation Through Influencing Gut Microbiota and Tryptophan Metabolism
Overview
Investigating the differences in gut microbiota composition and tryptophan metabolite levels between kidney stone patients and healthy individuals, with special focus on: 1. Comparing the gut microbiota composition between kidney stone patients and healthy controls, with emphasis on analyzing the relative abundance of Lactobacillus salivarius 2. Comparing the differences in tryptophan metabolite levels such as indole-3-carboxylic acid (ICA) and kynurenine (Kyn) in serum between the two groups 3. Exploring the correlation between gut microbiota composition and tryptophan metabolite levels 4. Analyzing the influence of different environmental conditions (seasons, temperature and humidity) on gut microbiota and metabolite levels
Detailed description
1\. Objectives
To investigate differences in gut microbiota composition and tryptophan metabolite levels between kidney stone patients and healthy individuals, specifically focusing on:
1. Comparing gut microbiota composition between stone patients and healthy controls, with emphasis on the relative abundance of Lactobacillus salivarius. 2. Comparing serum levels of tryptophan metabolites-indole-3-carboxylic acid (ICA) and kynurenine (Kyn)-between groups. 3. Exploring correlations between gut microbiota composition and tryptophan metabolite levels. 4. Analyzing the impact of environmental conditions (season, temperature/humidity) on gut microbiota and metabolite levels.
2\. Trial Design This prospective case-control study compares gut microbiota composition and serum metabolite levels between kidney stone patients (case group) and stone-free healthy volunteers (control group), while exploring associations with environmental factors.
3\. Participants Case Group: Patients diagnosed with kidney stones. Control Group: Healthy volunteers without kidney stones.
4\. Group Allocation Case Group: Kidney stone patients. Control Group: Stone-free healthy volunteers. Participants are assigned based on clinical status (no randomization).
Stratified analyses will consider:
Environmental exposure (temperature/humidity data). Seasonal factors (summer vs. non-summer). Gut microbiota composition (L. salivarius abundance via 16S rRNA sequencing). Serum metabolite levels (ICA, Kyn).
5\. Endpoints
Primary Endpoints:
Gut microbiota differences (α/β diversity, L. salivarius abundance). Serum ICA and Kyn level differences.
Secondary Endpoints:
Tryptophan pathway metabolite changes (Trp, IAA, Kyn/Trp ratio, ICA/Trp ratio). Microbiota-metabolite correlations. Environmental impact analysis.
6\. Observational Parameters
Primary Parameters:
Gut microbiota structure (α/β diversity, L. salivarius abundance). Serum ICA/Kyn concentrations (ng/ml).
Secondary Parameters:
Tryptophan pathway metabolites (Trp, IAA, ratios). Environmental factors (temperature, humidity, season). Demographics (gender, age, BMI). Stone history (type, frequency, seasonality). Comorbidities (hypertension, diabetes, intestinal diseases).
7\. Randomization Not applicable (case-control design). Participants are assigned based on clinical diagnosis.
8\. Blinding No blinding during enrollment. Laboratory personnel are blinded to group allocation during 16S rRNA sequencing and metabolomic analyses. Samples are coded, and statisticians design analysis plans before data unblinding.
9\. Sample Size Calculation
Accounting for 10% attrition and multiple analyses, final recruitment targets:
200 cases and 100 controls (expected completions: 180 cases, 90 controls).
10\. Statistical Analysis Descriptive Statistics: Mean±SD for continuous variables; frequencies for categorical variables.
Group Comparisons: t-test/Mann-Whitney U (continuous); χ²/Fisher's exact test (categorical).
Correlations: Spearman/partial correlation analysis. Multivariate Analysis: Linear/logistic regression adjusting for confounders. Microbiome Analysis: QIIME2 (α/β diversity, LEfSe, ANCOM). Metabolomics: MetaboAnalyst (pathway enrichment). Software: R 4.3.0; P\<0.05 deemed significant.
11\. Follow-up Plan
Screening Period (-7 days):
Informed consent. Demographics, medical history, physical exam, vital signs (blood pressure, pulse, temperature, respiration).
Case group: Collect routine renal function tests, electrolytes, and imaging data.
Sample Collection Phase:
Case Group:
Fecal sample (5g) for 16S rRNA sequencing. Venous blood (10ml) for LC-MS metabolomics. Residual surgical stones (if available).
Control Group:
Fecal sample (5g) and venous blood (10ml). All samples collected in a single visit. Follow-up via phone for health status confirmation.
Primary outcome measures
- Gut microbiota differences [Time frame: 3 months postoperatively]
- Serum indole-3-carboxylic acid (ICA) concentration and Serum kynurenine (Kyn) concentration [Time frame: 3 months postoperatively]
Secondary outcome measures (8)
- Kynurenine to indole-3-carboxylic acid ratio (Kyn/ICA) [Time frame: 3 months postoperatively]
- Spearman correlation coefficient between Lactobacillus salivarius abundance and serum ICA concentration [Time frame: 3 months postoperatively]
- Gut microbiota α-diversity [Time frame: 3 months postoperatively]
- Gut microbiota β-diversity [Time frame: 3 months postoperatively]
- Relative abundance of Lactobacillus salivarius [Time frame: 3 months postoperatively]
- Kidney stone recurrence status [Time frame: 3 months postoperatively]
- Mean ambient temperature [Time frame: 3 months postoperatively]
- Mean ambient relative humidity [Time frame: 3 months postoperatively]
Eligibility criteria
Inclusion criteria
- Inclusion criteria for patients with kidney stones
- Age>=18 years;
- Diagnosed with kidney stones by ultrasound, CT or urography;
- Willing to provide stool samples and serum samples for study;
- No history of antimicrobial use in the past 3 months;
- Signed and dated informed consent indicating that the patient or his/her legal representative is fully informed of the study-related information and agrees to participate.
- Inclusion criteria for the healthy control group
- Age>=18 years;
- No history of kidney stones and family history;
- Imaging examination (such as abdominal ultrasound) showed no kidney stones;
- Willing to provide stool samples and serum samples for research;
- No history of antibiotic use in the past 3 months;
- Signed and dated informed consent indicating that the volunteer is fully informed about the study-related information and agrees to participate.
Exclusion criteria
- Use of antimicrobials or probiotics within the past 3 months;
- Presence of active urinary tract infection;
- Presence of other serious systemic diseases, such as hepatic or renal insufficiency, cardiac or pulmonary diseases, malignant tumors, and immunodeficiency states;
- Congenital urinary tract abnormalities;
- Previous history of kidney transplantation or urinary diversion surgery;
- Pregnant or lactating women;
- Presence of chronic intestinal diseases, such as inflammatory bowel disease, irritable bowel syndrome, etc.;
- Inability to provide samples or complete follow-up according to the research protocol;
- Participation in other clinical studies within the past 3 months;
- Other conditions deemed unsuitable for participation in this study by the researcher.
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
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07043374 · IIT2025-059