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Objective. To investigate the roles of serum Th1 and Th2 cytokines in Kawasaki disease (KD) and determine whether the Th1/Th2 cytokine profiles in children with KD may be involved in intravenous immunoglobulin (IVIG) resistance and development of coronary artery lesions (CALs).Methods. Serum Th1 and Th2 cytokines, including interferon-␥ (IFN␥), tumor necrosis factor ␣ (TNF␣), interleukin-10 (IL-10), IL-6, IL-4, and IL-2, were measured using a cytometric bead array in the serum of 143 patients with KD before and after treatment with IVIG (pre-IVIG, at 3 days after temperature normalization following IVIG treatment [post-IVIG], and 1 month posttreatment).Results. Levels of IL-6, IL-10, TNF␣, and IFN␥ were significantly increased in KD patients pre-IVIG. Post-IVIG, the levels of IL-6, IL-10, and IFN␥ quickly decreased. The levels of TNF␣ decreased significantly after IVIG treatment in KD patients without CALs post-IVIG and in KD patients who were IVIG responders, but increased slightly in KD patients with CALs post-IVIG and in KD patients who were IVIG nonresponders. Before IVIG treatment, the levels of IL-4, IL-6, IL-10, and IFN␥ were significantly higher in KD patients with CALs than in those without CALs. The post-IVIG levels of IL-6 and IL-10 were significantly higher in IVIG nonresponders than in IVIG responders. Pre-IVIG, an IL-10 level >8 pg/ml had a sensitivity of 75.0% and a specificity of 64.4% for predicting CALs, while a TNF␣ level <2 pg/ml had a sensitivity of 66.7% and a specificity of 74.2% for predicting IVIG resistance. Post-IVIG, an IL-6 level >10 pg/ml had a sensitivity of 67.9% and a specificity of 81.7% for predicting CALs, while an IL-10 level >6 pg/ml had a sensitivity of 53.6% and a specificity of 86% for predicting CALs.Conclusion. Determination of the serum Th1/Th2 cytokine profile may be helpful for predicting the disease prognosis and targeting treatment strategies in patients with KD.

BackgroundTo assess the predictors for intravenous immunoglobulin (IVIG) resistance and coronary artery lesions (CALs) in Kawasaki disease (KD).MethodsA total of 560 KD patients were reviewed retrospectively, including 410 complete KD (cKD) and 150 incomplete KD (iKD) patients. The laboratory data were compared between the IVIG-resistant and IVIG-responsive groups, as well as between the coronary artery lesions (CALs+) and without coronary artery lesions (CALs-) groups.ResultsIn the cKD patients, C-reactive protein (CRP) levels had a sensitivity of 65.52% and a specificity of 62.7% for predicting IVIG-resistance at a cutoff point of >100 mg/L. When albumin <32 g/L, the sensitivity and specificity for predicting IVIG-resistance were 72 and 83.19%, respectively. N-terminal pro-brain natriuretic peptide (NT-proBNP) levels had a sensitivity of 73.91% and a specificity of 76.43% for predicting IVIG-resistance at a cutoff point of >1300 pg/ml. Interleukin-6 levels had a sensitivity of 76.19% and a specificity of 61.59% at a cutoff value of >45 pg/ml. Erythrocyte sedimentation rate (ESR) levels had a sensitivity of 53.26% and a specificity of 64.14% for predicting CALs at a cutoff point of >75 mm/h.In the iKD patients, the sensitivity and specificity for predicting IVIG-resistance were 80 and 54.1% when hemoglobin <110 g/L. When proportion of neutrophils >70%, the sensitivity and specificity for predicting IVIG-resistance were 68 and 66.94%, respectively. ESR levels had a sensitivity of 70.83% and a specificity of 65.81% for predicting IVIG-resistance at a cutoff point of >80 mm/h. NT-proBNP levels had a sensitivity of 78.57% and a specificity of 56.67% for predicting IVIG-resistance at a cutoff point of >360 pg/ml. Interleukin-6 levels had a sensitivity of 70.59% and a specificity of 66.28% at a cutoff value of >25 pg/ml. Interleukin-10 levels had a sensitivity of 64.71% and a specificity of 74.42% for predicting IVIG-resistance at a cutoff value of >8 pg/ml. ESR levels had a sensitivity of 61.82% and a specificity of 65.12% for predicting CALs at a cutoff point of >75 mm/h.ConclusionsThe white blood cell count, proportion of neutrophils, hemoglobin, CRP, ESR, albumin, NT-proBNP, interleukin-6 and 10 may be effective predictors for IVIG resistance and CALs in KD patients.

As a DNA repair protein, flap endonuclease 1 (FEN1), a structure-specific 5' nuclease, plays pivotal roles in the maturation of Okazaki fragments, long-patch base excision repair, restarting of stalled replication forks and telomere maintenance. FEN1 possesses 5' endonuclease, 5' exonuclease and gap-endonuclease activities, which render it an essential node in maintaining genome fidelity. The aim of this study was to investigate the association between the expression level of FEN1 and gastric cancer and to explore the role of FEN1 in carcinogenesis and the progression of gastric cancer. The mRNA and protein expression of FEN1 in 42 matched pairs of human gastric tumor tissues and corresponding normal tissues were measured by semiquantitative reverse transcription-PCR and immunohistochemical staining. FEN1 expression was downregulated in the SGC-7901 gastric cancer cells following transfection with siRNA targeting the FEN1 gene. Western blot analysis was used to evaluate the protein expression of FEN1 in SGC-7901 human gastric cancer cells in order to verify the transfection efficiency of FEN1 siRNA. Moreover, cell proliferation was analyzed by MTS assay. The apoptosis of the cells was determined by flow cytometry. Our results revealed that FEN1 was overexpressed in gastric cancer in comparison to the corresponding normal gastric tissues (P<0.01). We further confirmed that FEN1 expression has a positive correlation with the degree of differentiation (P=0.027), lymphatic metastasis (P=0.001), tumor size (P=0.026) and TNM stage (P=0.020) of gastric cancer. A high FEN1 expression in SGC-7901 cells can be effectively downregulated by siRNA constructed to target the FEN1 gene. Moreover, the inhibition of FEN1 expression suppressed the proliferation and induced the apoptosis of SGC-7901 cells. Taken together, our results indicate that FEN1 may be a promising biomarker for the diagnosis of gastric cancer and individual therapy.

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