GLP-1 receptor agonists alleviate colonic inflammation by modulating intestinal microbiota and the function of group 3 innate lymphoid cells.

Glucagon-like peptide-1 receptor agonists (GLP-1RAs), which are drugs used for treating type 2 diabetes, have been reported to exert anti-inflammatory effects on inflammatory bowel disease (IBD), the mechanism of which remains elusive. Here, we report that GLP-1RAs ameliorate dextran sulfate sodium (DSS)-induced colitis in both wild-type and T/B-cell-deficient mice through modulating group 3 innate lymphoid cells (ILC3s), a subset of innate lymphoid cells that regulate intestinal immunity. GLP-1RAs promote IL-22 production by ILC3, and the protective effect of GLP-1RAs on DSS-induced colitis was abrogated in ILC3-deficient RORgtgfp/gfp mice. Furthermore, the treatment effect of GLP-RAs on colitis, as well as the generation of IL-22-producing ILC3s by GLP-RAs, is dependent on the gut microbiota. GLP-1RAs increase the abundance of Firmicutes and Proteobacteria in the gut, particularly beneficial bacteria such as Lactobacillus reuteri, and decrease the abundance of enteropathogenic Staphylococcus bacteria. The untargeted gas chromatography (GC)/liquid chromatography (LC)-mass spectrometry (MS) of faecal metabolites further revealed enrichment of N,N-dimethylsphingosine (DMS), an endogenous metabolite derived from sphingosine, in the GLP-1RA-treated group. Strikingly, DMS ameliorates colitis while promoting intestinal IL-22-producing ILC3s. Taken together, our findings show that GLP-1RAs exert a therapeutic effect on colitis possibly by regulating the microbiota-DMS-IL-22+ILC3 axis, highlighting the potential beneficial role of GLP-RAs in inflammatory intestinal disorders with diabetes complications.

Improving Mortality Risk Prediction with Routine Clinical Data: A Practical Machine Learning Model Based on eICU Patients.

Purpose: Mortality risk prediction helps clinicians make better decisions in patient healthcare. However, existing severity scoring systems or algorithms used in intensive care units (ICUs) often rely on laborious manual collection of complex variables and lack sufficient validation in diverse clinical environments, thus limiting their practical applicability. This study aims to evaluate the performance of machine learning models that utilize routinely collected clinical data for short-term mortality risk prediction. Patients and Methods: Using the eICU Collaborative Research Database, we identified a cohort of 12,393 ICU patients, who were randomly divided into a training group and a validation group at a ratio of 9:1. The models utilized routine variables obtained from regular medical workflows, including age, gender, physiological measurements, and usage of vasoactive medications within a 24-hour period prior to patient discharge. Four different machine learning algorithms, namely logistic regression, random forest, extreme gradient boosting (XGboost), and artificial neural network were employed to develop the mortality risk prediction model. We compared the discrimination and calibration performance of these models in assessing mortality risk within 1-week time window. Results: Among the tested models, the XGBoost algorithm demonstrated the highest performance, with an area under the receiver operating characteristic curve (AUROC) of 0.9702, an area under precision and recall curves (AUPRC) of 0.8517, and a favorable Brier score of 0.0259 for 24-hour mortality risk prediction. Although the model's performance decreased when considering larger time windows, it still achieved a comparable AUROC of 0.9184 and AUPRC of 0.5519 for 3-day mortality risk prediction. Conclusion: The findings demonstrate the feasibility of developing a highly accurate and well-calibrated model based on the XGBoost algorithm for short-term mortality risk prediction with easily accessible and interpretative data. These results enhance confidence in the application of the machine learning model to clinical practice.

Setd2 supports GATA3+ST2+ thymic-derived Treg cells and suppresses intestinal inflammation.

Treg cells acquire distinct transcriptional properties to suppress specific inflammatory responses. Transcription characteristics of Treg cells are regulated by epigenetic modifications, the mechanism of which remains obscure. Here, we report that Setd2, a histone H3K36 methyltransferase, is important for the survival and suppressive function of Treg cells, especially those from the intestine. Setd2 supports GATA3+ST2+ intestinal thymic-derived Treg (tTreg) cells by facilitating the expression and reciprocal relationship of GATA3 and ST2 in tTreg cells. IL-33 preferentially boosts Th2 cells rather than GATA3+ Treg cells in Foxp3Cre-YFPSetd2 flox/flox mice, corroborating the constraint of Th2 responses by Setd2 expression in Treg cells. SETD2 sustains GATA3 expression in human Treg cells, and SETD2 expression is increased in Treg cells from human colorectal cancer tissues. Epigenetically, Setd2 regulates the transcription of target genes (including Il1rl1) by modulating the activity of promoters and intragenic enhancers where H3K36me3 is typically deposited. Our findings provide mechanistic insights into the regulation of Treg cells and intestinal immunity by Setd2.

Setd2 determines distinct properties of intestinal ILC3 subsets to regulate intestinal immunity.

Subsets of group 3 innate lymphoid cells (ILC3s) are heterogeneous in development and function and play differential roles in intestinal immunity. Histone modifications are involved in the fate commitment of immune cells, including ILC3s. Here, we report that deletion of Setd2, histone H3K36 methyltransferase, in ILC3s results in increased generation of NKp46+ILC3s with enhanced cytotoxic signatures and tumor-suppressive capacity. Meanwhile, Rag1-/-RorcCreSetd2flox/flox mice have fewer CCR6+ILC3s and less defective solitary intestinal lymphoid tissue formation, accompanied by reduced granulocyte-macrophage colony-stimulating factor (GM-CSF) production by NKp46-ILC3s and decreased CD11b+CD103+ dendritic cell accumulation. The deficiency of Setd2-/-NKp46-ILC3s may contribute to disturbed RORγt+Treg homeostasis and intestinal inflammation in Rag1-/-RorcCreSetd2flox/flox mice upon T cell reconstitution. Setd2 regulates genome accessibility imprinting gene mRNA expression, with a more profound effect on NKp46+ILC3s than NKp46-ILC3s. Therefore, Setd2 determines distinct chromatin status and transcriptomic programs of ILC3 subsets to affect their function and intestinal immunity.

Functional characterization of an (R)-selective styrene monooxygenase from streptomyces sp. NRRL S-31.

Styrene monooxygenases (SMOs) are two-component enzymes known to catalyze the epoxidation of styrene to (S)-styrene oxide. In this work, we identified a new oxygenase component, named StStyA, from the genome of Streptomyces sp. NRRL S-31. StStyA displayed complementary stereoselectivity to all of the known SMOs when coupled with a known reductase component (PsStyB), which made it the first natural SMO that produces (R)-styrene oxide. Accordingly, a plasmid co-expressing StStyA and PsStyB was constructed, which led to an artificial two-component SMO, named StStyA/B. When applied in the bio-epoxidation of nine aromatic alkenes, the enzyme showed activity toward five alkenes, and consistently displayed (R)-selectivity. Excellent stereoselectivity was achieved for all five substrates with enantiomeric excesses ranging from 91% to >99%ee.

IL-17-producing ST2+ group 2 innate lymphoid cells play a pathogenic role in lung inflammation.

BACKGROUND: IL-17 plays a pathogenic role in asthma. ST2- inflammatory group 2 innate lymphoid cells (ILC2s) driven by IL-25 can produce IL-17, whereas ST2+ natural ILC2s produce little IL-17. OBJECTIVE: We characterized ST2+IL-17+ ILC2s during lung inflammation and determined the pathogenesis and molecular regulation of ST2+IL-17+ ILC2s. METHODS: Lung inflammation was induced by papain or IL-33. IL-17 production by lung ILC2s from wild-type, Rag1-/-, Rorcgfp/gfp, and aryl hydrocarbon receptor (Ahr)-/- mice was examined by using flow cytometry. Bone marrow transfer experiments were performed to evaluate hematopoietic myeloid differentiation primary response gene-88 (MyD88) signaling in regulating IL-17 production by ILC2s. mRNA expression of IL-17 was analyzed in purified naive ILC2s treated with IL-33, leukotrienes, and inhibitors for nuclear factor of activated T cells, p38, c-Jun N-terminal kinase, or nuclear factor κ light-chain enhancer of activated B cells. The pathogenesis of IL-17+ ILC2s was determined by transferring wild-type or Il17-/- ILC2s to Rag2-/-Il2rg-/- mice, which further induced lung inflammation. Finally, expression of 106 ILC2 signature genes was compared between ST2+IL-17+ ILC2s and ST2+IL-17- ILC2s. RESULTS: Papain or IL-33 treatment boosted IL-17 production from ST2+ ILC2s (referred to by us as ILC217s) but not ST2- ILC2s. Ahr, but not retinoic acid receptor-related orphan receptor γt, facilitated the production of IL-17 by ILC217s. The hematopoietic compartment of MyD88 signaling is essential for ILC217 induction. IL-33 works in synergy with leukotrienes, which signal through nuclear factor of activated T-cell activation to promote IL-17 in ILC217s. Il17-/- ILC2s were less pathogenic in lung inflammation. ILC217s concomitantly expressed IL-5 and IL-13 but expressed little GM-CSF. CONCLUSION: During lung inflammation, IL-33 and leukotrienes synergistically induce ILC217s. ILC217s are a highly pathogenic and unexpected source for IL-17 in lung inflammation.

Imbalance between Th17 and Treg cells may play an important role in the development of chronic unpredictable mild stress-induced depression in mice.

BACKGROUND: Recent data suggest that major depression is potentially associated with dysregulated cytokine production. However, the roles of T helper (Th) cells and their subsets in the development of depression still remain to be determined. The present study assessed changes in Th cell subsets and cytokines during the development of depression in a mouse model. METHODS: Chronic unpredictable mild stress (CUMS) was used to simulate depression behavior in mice. The open field test, sucrose preference, and ingestion were used as evaluative indicators of depressive behavior. During the CUMS protocol, on days 3, 7, 14, and 21, we assessed behavioral changes, cytokine levels in serum or stimulated (CD3/CD28) cell culture medium, and mRNA expression (ELISA, RT-PCR), regulatory T (Treg) and Th17 subsets in spleen (ex vivo, flow cytometry, RT-PCR), and CD3/rIL-23-stimulated Th17 cell proliferation (MTT assay). RESULTS: The results showed that in the depression model mice, IL-4 mRNA expression and serum levels increased on day 7, while no detectable change was observed in IFN-γ. Notably, a reduced proportion of Th17 cells with decreased proliferation capacity was observed at later stages, in parallel with a decline in serum IL-23 levels. In contrast, an increased Treg cell proportion and increased Foxp3 mRNA expression were observed in the mid-stages. Correlation analysis showed that the proportion of Tregs was correlated negatively with sucrose preference, while the proliferation of Th17 cells was notably correlated positively with sucrose preference. Also, an increased TGF-ß level was detected in serum and was believed to be a key factor responsible for the imbalance between Th17 and Treg cells. Furthermore, the sucrose preference in TGF-ß type I receptor blockade mice increased considerably, compared with CUMS mice. CONCLUSION: These results indicate that in CUMS-induced depression, behavioral changes may closely correlate with the imbalance between Th17 and Treg cell subsets, and TGF-ß may be a key regulatory cytokine.