Gut substrate trap of D-lactate from microbiota improves blood glucose and fatty liver disease in obese mice
Bibliographic record
Abstract
L-lactate participates in metabolism, including the Cori cycle, but less is known about D-lactate. We found that circulating D-lactate was higher in humans and mice with obesity. D-lactate increased hepatic glycogen, triglycerides, and blood glucose more than equimolar L-lactate in mice. Stable isotope analyses showed that D-lactate is metabolized in mice and in hepatocytes to pyruvate, TCA intermediates, lipids, and glucose. The gut microbiota is the main source of blood D-lactate. Colonization of mice with a bacterial strain that produced D-lactate elevated blood glucose more than an L-lactate producer. Oral delivery of a biocompatible polymer that traps gut D-lactate, forcing fecal excretion, lowered blood glucose and insulin resistance in obese mice in a polymer length- and dose-dependent manner. This D-lactate trap lowered hepatic inflammation and fibrosis in mice with metabolic dysfunction-associated fatty liver disease (MAFLD)/metabolic dysfunction-associated steatohepatitis (MASH). Therefore, microbial-derived D-lactate contributes to host glucose and lipid metabolism and can be trapped to improve metabolic disease during obesity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".