The anti-inflammatory IL-37/SIGIRR axis is functionally compromised in HIV infection
Bibliographic record
Abstract
BACKGROUND: IL-37 is a member of the IL-1 family with potent anti-inflammatory effects. Little is known about regulation of the cytokine and of its signaling co-receptor SIGIRR in HIV infection. OBJECTIVES: Our main objective was to investigate how production of the cytokine and expression of SIGIRR on immune cells is regulated in HIV infection. METHODS: The study was conducted using biological samples from a cross section of HIV-infected individuals. Concentrations of IL-37, TNF-α and soluble form of SIGIRR in serum samples were determined by ELISA. The expression of SIGIRR on immune cells was determined by flow cytometry. IL-37 isoform-specific transcripts were determined in PBMC by RT-PCR using isoform-specific primers. The effects of exogenous IL-37 on HIV replication in human phytohaemagglutinin (PHA) blasts were determined in in-vitro assays. RESULTS: The cytokine concentrations tended to decrease in treatment-naive HIV-infected individuals. They were higher in treated HIV-infected individuals compared with those from treatment-naive ones. Higher concentrations of the cytokine were observed in sera from LTNP. The expression of SIGIRR on immune cells was decreased in HIV-infected individuals. On the other hand, its soluble form increased in the sera in these individuals. The trend was reversed in the patients undergoing antiretroviral treatment. Soluble SIGIRR attenuated anti-inflammatory effects of the cytokine. Serum IL-37 and soluble SIGIRR concentrations correlated with certain clinical parameters of the patients. Furthermore, recombinant human IL-37 inhibited HIV replication in human PHA blasts. CONCLUSION: The IL-37/SIGIRR axis is functionally compromised in HIV-infected individuals. Targeting the axis may alleviate inflammation and decrease HIV replication in this viral infection.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.005 |
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; both teacher heads agree on what is shown here.
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".