Effects of High Amylose-Resistant Starch on Gut Microbiota and Uremic Toxin Levels in Patients With Stage-G3a-G4 Chronic Kidney Disease: A Randomized Trial
Bibliographic record
Abstract
OBJECTIVE: This study was designed to determine the effect of 16 weeks of supplementation with Hi-maize 260 resistant starch (RS) on the gut microbiota, uremic toxins (indoxyl sulfate and p-cresyl sulfate [PCS]), markers of inflammation, and oxidative stress along with vascular function in patients with stage G3a-G4 chronic kidney disease (CKD). DESIGN AND METHODS: This was a double-blind, placebo-controlled, parallel-arm, randomized controlled trial. Sixty-eight patients with stage-G3a-G4 CKD were randomized to either RS with usual care or placebo and usual care. Patients attended four testing sessions as follows: two baseline (BL) visits and follow-up visits at 8 and 16 weeks. Fasting blood samples, resting brachial and central blood pressures, along with arterial stiffness, were collected at visits (1 or 2) and weeks 8 and 16. A stool sample was collected for analysis of microbial composition at BL and week 16. Patients were randomized after the BL visits. RESULTS: Patients receiving the RS had a reduction in PCS at week 16. This reduction was associated with a decrease in microbial α-diversity between BL and week 16 (Chao1 P = .014, Shannon P = .017, phylogenetic diversity P = .046, and Simpson P = .017) as well as increases in Subdoligranulum (P = .03) and Oscillospiraceae Unclassified Clostridiales Group 002 (P = .02) and decreases in Bacteroides (P = .009).There were no changes in microbial beta diversity and other biomarkers or markers of vascular function following the 16-week period. CONCLUSION: Sixteen weeks of supplementation of RS in patients with stage-G3a-G4 CKD led to changes in microbial composition that were associated with a significant reduction in PCS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".