Our results implicate keratinocyte growth factor in the induction of alveolar epithelial cell proliferation for compensatory lung growth and indicate that overexpression of keratinocyte growth factor in the remaining lung by means of electroporation significantly augmented lung epithelial proliferation.

Our results suggest that D2-40 immunostaining provides a precise diagnosis of lymphatic vessel invasion, and our new grading system of vessel invasion by "degree" is accurate and has prognostic value in early lung cancer.

Objective. To clarify the significance of immunometabolism in systemic lupus erythematosus (SLE), and to determine the effect of calcium/calmodulin-dependent protein kinase 4 (CaMK4) on T cell metabolism.Methods. Metabolomic profiling was performed using capillary electrophoresis mass spectrometry in naive T cells from MRL/lpr mice treated with anti-CD3/CD28 antibodies in the absence or presence of a CaMK4 inhibitor (KN-93). The expression of GLUT1 and CaMK4 in CD4+ T cells from healthy controls (n = 16), patients with inactive SLE (n = 13), and patients with active SLE (n = 14) was examined by flow cytometry and quantitative polymerase chain reaction. In vitro experiments were performed to determine the effect of KN-93 on the expression of GLUT1 during Th17 cell differentiation in T cells from patients with SLE.Results. CaMK4 inhibition significantly decreased the levels of glycolytic intermediates such as glucose-6-phosphate, fructose-6-phosphate, fructose-1,6-diphosphate, pyruvate, and lactate (P < 0.05), whereas it did not affect the levels of the pentose phosphate pathway intermediates such as 6-phosphod-gluconate, ribulose-5-phosphate, ribose-5-phosphate, and phosphoribosyl pyrophosphate. The expression levels of GLUT1 and CaMK4 in effector memory CD4+ T cells were significantly higher in patients with active SLE compared to healthy controls (P < 0.01 and P < 0.05, respectively) and patients with inactive SLE (P < 0.05 and P < 0.01, respectively). A functional analysis revealed that CaMK4 inhibition decreased the expression of GLUT1 during Th17 cell differentiation (P < 0.01), followed by a reduction of interleukin-17 (IL-17) production (P < 0.05).Conclusion. The results of the study indicate that the activity of CaMK4 could be responsible for glycolysis, which contributes to the production of IL-17, and CaMK4 may contribute to aberrant expression of GLUT1 in T cells from patients with active SLE.

No abstract

Background Polymyositis/dermatomyositis (PM/DM) is an autoimmune disease that is sometimes complicated with rapidly progressive interstitial lung disease (RPILD). However, serum and lung biomarkers that can predict RPILD development remain unclear. Objectives To determine potential serum and lung biomarkers that can predict RPILD development in patients with PM/DM‐ILD. Methods In total, 49 patients with PM/DM‐ILD were enrolled. We measured the serum levels of 41 cytokines/chemokines, ferritin and anti‐MDA5 antibody, compared them between the RPILD (n = 23) and non‐RPILD (n = 26) groups, and ranked them by their importance through random forest analysis. To distinguish the two groups, we determined biomarker combinations by logistic regression analysis. We also measured the bronchoalveolar lavage fluid (BALF) levels of 41 cytokines/chemokines. Using immunohistochemistry, we examined IL‐15 expression in lung tissues. The IL‐15 production was also investigated using A549 and BEAS‐2B cells. Results The RPILD group had significantly higher IL‐15, IL‐1RA, IL‐6, CXCL10, VCAM‐1, anti‐MDA5 antibody and ferritin serum levels than the non‐RPILD group, but it had a significantly low CCL22 level. Meanwhile, anti‐MDA5 antibody, IL‐15, CXCL8, CCL22, IL‐1RA and ferritin were the best combination to distinguish the two groups. IL‐15 and CCL22 were also predictive marker for RPILD development in anti‐MDA5 antibody‐positive patients. Additionally, the RPILD group had significantly high IL‐15 levels in BALF. The lung tissues expressed IL‐15, which increased after cytokine stimulation in the A549 cells. Conclusion This study identified a combination of biomarkers predicting PM/DM‐RPILD progression, and IL‐15 is an important cytokine for predicting RPILD development and reflecting ILD severity.

No abstract

High serum concentrations of thymus and activation-regulated chemokine (TARC) are observed in allergic diseases such as atopic dermatitis and bronchial asthma. Frequent allergic symptoms have been reported in patients with IgG4-related disease (IgG4-RD). We investigated the pathogenic role of TARC as a biomarker in IgG4-RD patients. We evaluated the serum concentrations of TARC from 29 IgG4-RD patients, 28 primary Sjögren syndrome (pSS) patients, and 23 healthy controls (HCs) by enzyme-linked immunosorbent assay (ELISA). We analyzed the correlations between the TARC concentrations and the subjects' clinical parameters. To investigate the biological effect of TARC on the pathogenesis of IgG4-RD, we evaluated the in vitro induction of plasmablasts from IgG4-RD patients by TARC. The serum concentrations of TARC in the IgG4-RD patients were significantly higher than those of the pSS patients and HCs. The serum TARC concentration of the IgG4-RD group was positively correlated with the IgG4-RD responder index (IgG4-RD RI) score and with the number of organs involved, but it was not correlated with the serum IgG4 level or eosinophil number in the IgG4-RD patients' peripheral blood. The patients who had lung involvement had higher serum TARC concentrations. In vitro, TARC clearly induced the formation of plasmablasts from the IgG4-RD patients' peripheral blood mononuclear cells. Collectively, our data suggest that a systemic increment of TARC may contribute to the development of IgG4-RD through an aberrant induction of plasmablasts.

Objective: To identify potential biomarkers to distinguish adult-onset Still's disease (AOSD) from sepsis. Method: We recruited 70 patients diagnosed with AOSD according to the Yamaguchi criteria, 22 patients with sepsis, and 118 age-matched controls. Serum levels of 40 cytokines were analyzed using multi-suspension cytokine array. We performed a cluster analysis of each cytokine in the AOSD and sepsis groups in order to identify specific molecular networks. Further, multivariate classification (random forest analysis) and logistic regression analysis were used to rank the cytokines by their importance and determine specific biomarkers for distinguishing AOSD from sepsis. Results: Seventeen of the 40 cytokines were found to be suitable for further analyses. The serum levels of eleven were significantly higher in patients with AOSD than healthy controls. Levels of serum fibroblast growth factor 2 (FGF-2), vascular endothelial growth factor (VEGF), granulocyte colony-stimulating factor (G-CSF), and interleukin (IL)-18 were significantly elevated in patients with AOSD compared with those with sepsis, and cytokine clustering patterns differed between these two groups. Multivariate classification followed by logistic regression analysis revealed that measurement of both FGF-2 and IL-18 could distinguish AOSD from sepsis with high accuracy (cutoff value for FGF-2 = 36 pg/mL; IL-18 = 543 pg/mL, sensitivity 100%, specificity 72.2%, accuracy 93.8%). Conclusion: Determination of FGF-2 and IL-18 levels in combination may represent a biomarker for the differential diagnosis of AOSD from sepsis, based on the measurement of multiple cytokines.