New<i>Lactobacillus acidophilus</i>isolates reduce the release of leptin by murine adipocytes leading to lower interferon-γ production
Bibliographic record
Abstract
Leptin produced by adipocytes increases Th1-dependent immunostimulation and autoimmune diseases. Lactobacilli are known to promote or suppress Th1 responses according to the isolates. We have investigated whether the sensitivity of Suriss Jim Lambert (SJL) mice to Th1-dependent immune diseases, when compared with C57BL/6 mice, may be modulated by selected lactobacilli able to decrease leptin release by adipocytes. White adipocytes were isolated from both C57BL/6 and SJL mice and incubated with bacterial extracts from new CBA4P and TPA3P isolates of Lactobacillus acidophilus and L. rhamnosus 9595 (LR), or with conditioned media (CM) from lactobacillus-treated macrophages. Immunomodulation induced by supernatants of treated adipocytes was determined by metabolic activity of syngenic splenic lymphocytes. Leptin produced by adipocytes, tumour necrosis factor (TNF)-alpha and interleukin (IL)-1beta by macrophages, and IFN-gamma and IL-4 by lymphocytes were quantified by enzyme-linked immunosorbent assay (ELISA) tests. Results revealed that supernatants from CBA4P- and LR-treated adipocytes decreased the metabolic activity of lymphocytes from SJL mice, whereas adipocytes incubated with CM from CBA4P-treated macrophages showed no stimulation of lymphocytes. Such effects correlated with leptin levels. Lower levels of leptin were produced by adipocytes from SJL mice in the presence of CBA4P and LR extracts. Lymphocytes from SJL mice produced low levels of IFN-gamma when incubated with supernatants from CBA4P-treated cells. Such immunosuppressive effects were dependent on levels of TNF-alpha and IL-1beta produced by lactobacillus-treated macrophages. Taken together, these results suggest that the CBA4P isolate reduces levels of leptin in SJL mice, leading to lower IFN-gamma production. Therefore, the CBA4P isolate of L. acidophilus is a promising new probiotic strain for the control of Th1 inflammatory diseases.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.001 |
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 teacher head, 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".