The role of monocytes and natural killers' immunophenotypic subsets in bronchial asthma in children

The combination of machine learning and untargeted metabolomics identifies the lipid metabolism -related gene CH25H as a potential biomarker in asthma

BACKGROUND

Lipids, significant signaling molecules, regulate a multitude of cellular responses and biological pathways in asthma which are closely associated with disease onset and progression. However, the characteristic lipid genes and metabolites in asthma remain to be explored. It is also necessary to further investigate the role of lipid molecules in asthma based on high-throughput data.

OBJECTIVE

To explore the biomarkers and molecular mechanisms associated with lipid metabolism in asthma.

METHODS

In this study, we selected three mouse-derived datasets and one human dataset (GSE41665, GSE41667, GSE3184 and GSE67472) from the GEO database. Five machine learning algorithms, LASSO, SVM-RFE, Boruta, XGBoost and RF, were used to identify core gene. Additionally, we used non-negative matrix breakdown (NMF) clustering to identify two lipid molecular subgroups and constructed a lipid metabolism score by principal component analysis (PCA) to differentiate the subtypes. Finally, Western blot confirmed the altered expression levels of core genes in OVA (ovalbumin) and HDM+LPS (house dust mite+lipopolysaccharide) stimulated and challenged BALB/c mice, respectively. Results of non-targeted metabolomics revealed multiple differentially expressed metabolites in the plasma of OVA-induced asthmatic mice.

RESULTS

Cholesterol 25-hydroxylase (CH25H) was finally localized as a core lipid metabolism gene in asthma and was verified to be highly expressed in two mouse models of asthma. Five-gene lipid metabolism constructed from CYP2E1, CH25H, PTGES, ALOX15 and ME1 was able to distinguish the subtypes effectively. The results of non-targeted metabolomics showed that most of the aberrantly expressed metabolites in the plasma of asthmatic mice were lipids, such as LPC 16:0, LPC 18:1 and LPA 18:1.

CONCLUSION

Our findings imply that the lipid-related gene CH25H may be a useful biomarker in the diagnosis of asthma.

Notch signaling dependent monocyte conversion alleviates immune-mediated neuropathies by regulating RBP-J/NR4A1 axis

Monocytes in peripheral blood and sciatic nerves play vital roles in immune-mediated neuropathies such as Guillain-Barré syndrome (GBS). Different subpopulations of monocytes, including classical and non-classical, exhibit distinct functions as well as phenotypic conversion potentials. However, the mechanisms underlying their development during immune-mediated neuropathy remain unclear. Notch signaling participates in monocyte differentiation and function. In this study, we used a myeloid-specific Notch signaling activation transgenic mouse (NIC^cA) and investigated the role of Notch signaling in monocytes during experimental autoimmune neuritis (EAN) in a mouse model of GBS. Clinical score assessment and histopathological examination revealed that sciatic nerve injury was attenuated in NIC^cA EAN mice compared to that in control mice. Flow cytometry and immunofluorescence staining suggested that increasing Ly6C^lo monocytes in the peripheral blood and nerve tissue might contribute to the alleviation of neuritis in NIC^cA mice. Meanwhile, an in vitro study suggested that bone marrow-derived monocytes from NIC^cA mice are more inclined toward Ly6C^lo cells than Ly6C^hi cells. Differential expression of monocyte development-associated genes was detected in NIC^cA and wild-type mice using RNA sequencing. The expression of Nr4a1 is upregulated remarkably when Notch signaling is activated. Treatment with Nr4a1 antagonist on NIC^cA mice-derived monocytes compromise their Ly6C^lo tendency. Consistently, a relationship between monocyte conversion and disease severity was observed in blood samples from patients with GBS. In conclusion, our current study showed that monocyte conversion modulated by Notch signaling plays an essential role in the EAN mouse model.