New Laser and Suction Sheath for Kidney Stone Treatment
NCT06667466
Calculi, Female Urogenital Diseases
View Trial DetailsNCT Number: NCT07043374
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
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
To investigate differences in gut microbiota composition and tryptophan metabolite levels between kidney stone patients and healthy individuals, specifically focusing on:
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).
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.
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).
Accounting for 10% attrition and multiple analyses, final recruitment targets:
200 cases and 100 controls (expected completions: 180 cases, 90 controls).
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.
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 3 months postoperatively
Comparison of gut microbiota composition between the case and control groups, particularly the relative abundance of Lactobacillus salivarius.
Unit of Measure: Relative abundance (unitless proportion)
Time frame: 3 months postoperatively
Comparison of serum ICA (indole-3-carboxylic acid) and Kyn (kynurenine) levels between the case and control groups.
Unit of Measure: ng/mL.
Time frame: 3 months postoperatively
Evaluation of differences in tryptophan metabolism-related metabolites across groups, with a focus on changes in the Kyn/ICA ratio.
Unit of Measure: Ratio (unitless).
Time frame: 3 months postoperatively
Unit of Measure: Correlation coefficient (ρ-value, unitless). Method: Spearman rank correlation analysis.
Time frame: 3 months postoperatively
Unit of Measure: Diversity index (e.g., Shannon index, unitless). Method: 16S rRNA gene sequencing; multivariate linear regression
Time frame: 3 months postoperatively
Unit of Measure: Dissimilarity index (e.g., Bray-Curtis, unitless). Method: 16S rRNA gene sequencing; PERMANOVA.
Time frame: 3 months postoperatively
Unit of Measure: Relative abundance (unitless proportion). Method: 16S rRNA gene sequencing; multivariate linear regression.
Time frame: 3 months postoperatively
Unit of Measure: Binary outcome (Recurrence: Yes/No). Method: Ultrasound/CT detection (≥2mm stones); logistic regression.
Time frame: 3 months postoperatively
Unit of Measure: °C. Method: Portable environmental recorder.
Time frame: 3 months postoperatively
Unit of Measure: %. Method: Portable environmental recorder.
Contact information is provided by the study sponsor or research team.
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Other
A Mechanistic Study on How Humid and Hot Environment Promotes Urinary Tract Stone Formation Through Influencing Gut Microbiota and Tryptophan Metabolism
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