Integrative Genomics and Phenotypic Profiling Reveal <i>Lacticplantibacillus plantarum</i> <scp>BGI</scp> ‐ <scp>N6</scp> as a Multifunctional Candidate for Dermatological Probiotic Development
Bibliographic record
Abstract
Probiotics and postbiotics are recognized for their potential to benefit skin health, and complete genome analysis serves as a pivotal tool to accelerate the exploration of probiotic functionalities. To investigate this relationship, this study aimed to elucidate the skin-promoting potential of Lactiplantibacillus plantarum BGI-N6 (BGI-N6) through integrated genomic analysis and phenotypic analysis. Results indicated that the high-precision complete genome of BGI-N6 comprises 3 257 641 bases with a 45% GC content and 3030 CDSs, involving multiple genes related to carbon source fermentation, gastrointestinal tolerance, and environmental adaptability. Notably, BGI-N6 possessed several bacteriostatic, antioxidant, and enzyme activity inhibition-related genes, which could encode the biosynthetic pathways of bacteriocins, glutathione/thioredoxin antioxidant systems, NADH peroxidase, catalase, and various organic acids. Supporting these genomic insights, in vitro experiments comparative evaluation revealed that BGI-N6 exhibited superior capabilities relative to Lactiplantibacillus plantarum 299v (299v) in antioxidant activity, inhibition of cutaneous pathogens growth, and suppression of skin-damaging enzyme (e.g., collagenase and elastase) activity. These effects were correlated with the production of lactic acid, 6-hydroxyhexanoate, coumarins, and other bioactive compounds by BGI-N6. The evidence from integrated genomic analysis and in vitro experiments established a critical theoretical foundation for the development of BGI-N6 as a candidate for probiotic and postbiotic applications targeting skin health.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".