Systems biosynthesis of secondary metabolic pathways within the oral human microbiome member <i>Streptococcus mutans</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Streptococcus mutans, a Gram-positive human commensal and pathogen, is commonly recognized as a primary causative agent in dental caries. Metabolic activity of this strain results in the creation of acids and secreted products are recognized as pathogenic factors and agents that promote immunomodulation by stimulating the release of pro-inflammatory cytokines. Products of secondary metabolic pathways of microorganisms from the human microbiome are increasingly investigated for their immunomodulatory functions. In this study, we sought to explore the metabolomic output of nonribosomal peptide pathways within the model S. mutans strain, S. mutans UA159, using a systems metabolomic approach to gain in-depth analysis on products created by this organism and probe these molecules for their immunomodulatory function. Comparative metabolomics and biosynthetic studies using wild-type and nonribosomal peptide deletion strains (within the mutanobactin biosynthetic locus), precursor feedings (fatty acid derivatives) led to the identification of 58 metabolites, 13 of which were structurally elucidated. In addition to these, an assembly line derailment product, mutanamide, was also identified and used to assess immunomodulatory properties of mutanobactins and actions relating to their previously reported functions describing hyphal inhibitory profiles in Candida albicans. The results of this study demonstrate both the complexity and the divergent roles of products stemming from this unique biosynthetic assembly line.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it