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Abstract Background The pathogenesis of immunoglobulin G4-related disease (IgG4-RD) remains unclear. IgG4-RD often mimics other diseases, including pancreatic cancer (PC) and Sjogren’s syndrome (SS), which may easily lead to misdiagnosis. This study was performed to explore the metabolite changes and potential biomarkers of IgG4-RD and other misdiagnosed diseases. Methods Untargeted liquid chromatography–tandem mass spectrometry metabolomics profiling of plasma samples from a cohort comprising healthy controls (HCs) and patients with IgG4-RD (n = 87), PC (n = 33), and SS (n = 31) was performed. A random forest machine learning model was used to verify the relevance of the identified metabolites in the diagnosis of different diseases and the prediction of disease prognosis. Results The ATP-binding cassette transporter pathway was found to be most closely related to IgG4-RD, which was significantly up-regulated in the IgG4-RD group than in all the matched groups. Five metabolites were proved to be valuable biomarkers for IgG4-RD. Caftaric acid, maltotetraose, d-glutamic acid, 1-stearoyl-2-arachidonoyl-sn-glycero-3-phosphoserine, and hydroxyproline were useful in distinguishing between IgG4-RD, PC, SS, and HC [area under the curve (AUC) = 1]. A combination of phenylalanine betaine, 1-(1z-hexadecenyl)-sn-glycero-3-phosphocholine, Pi 40:8, uracil, and N1-methyl-2-pyridone-5-carboxamide showed a moderate value in predicting relapse in patients with IgG4-RD (AUC = 0.8). Conclusions Our findings revealed the metabolite changes of IgG4-RD and provide new insights for deepening our understanding of IgG4-RD despite the lack of validation in external cohorts. Metabolomic biomarkers have significance in the clinical diagnosis and disease prognosis of IgG4-RD.

Abstract Backgrounds Heterogeneous ribonucleoproteins (hnRNPs) are involved in the metastasis-related network. Our previous study demonstrated that hnRNP K is associated with epithelial-to-mesenchymal transition (EMT) in A549 cells. However, the precise molecular mechanism of hnRNP K involved in TGF-β1-induced EMT remains unclear. This study aimed to investigate the function and mechanism of hnRNP K interacted with microtubule-associated protein 1B light chain (MAP 1B-LC1) in TGF-β1-induced EMT. Methods Immunohistochemistry was used to detect the expression of hnRNP K in non-small-cell lung cancer (NSCLC). GST-pull down and immunofluorescence were performed to demonstrate the association between MAP 1B-LC1 and hnRNP K. Immunofluorescence, transwell assay and western blot was used to study the function and mechanism of the interaction of MAP 1B-LC1 with hnRNP K during TGF-β1-induced EMT in A549 cells. Results hnRNP K were highly expressed in NSCLC, and NSCLC with higher expression of hnRNP K were more frequently rated as high-grade tumors with poor outcome. MAP 1B-LC1 was identified and validated as one of the proteins interacting with hnRNP K. Knockdown of MAP 1B-LC1 repressed E-cadherin downregulation, vimentin upregulation and actin filament remodeling, decreased cell migration and invasion during TGF-β1-induced EMT in A549 cells. hnRNP K increased microtubule stability via interacting with MAP 1B-LC1 and was associated with acetylated ɑ-tubulin during EMT. Conclusion hnRNP K can promote the EMT process of lung cancer cells induced by TGF-β1 through interacting with MAP 1B-LC1. The interaction of MAP 1B/LC1 with hnRNP K may improve our understanding on the mechanism of TGF-β1-induced EMT in lung cancer.