OBJECTIVETo compare the nature of the metabolites formed from the phase I metabolism (hydroxylation and oxidation) and phase II metabolism (glutathionyl conjugation) of PCBs that have different chlorine substitution patterns. To discuss the structure-activity relationships and metabolic mechanisms of PCBs.

METHODS4-Cl-biphenyl (PCB3), 4,4'-Cl-biphenyl (PCB15), 3,4,3',4'-Cl-biphenyl (PCB77) were used for in vitro metabolic study. LC/MS and UV-Vis studies were performed for metabolites identification.

RESULTSThe cytochrome P-450 catalyzed hydroxylation rate decreased as the number of chlorine substitutions increased. In this reaction, PCB3 was fully metabolized, approximately half of the PCB15 was metabolized and PCB77 was not metabolized at all. The oxidation rate of PCB15-HQ was higher than that of PCB3-HQ under various oxidation conditions. The LC/MS and UV-Vis data suggest that in the conjugation reaction of PCB15-Q and GSH, the Michael addition reaction occurs preferentially over the displacement reaction.

CONCLUSIONThe metabolic profiles of polychlorinated biphenyls (PCBs) are dramatically affected by chlorine substitution patterns. It is suggested that the metabolic profiles of PCBs are related to their chlorine substitution patterns, which may have implications for the toxicity of PCB exposure.

Hydroxylation ; Molecular Structure ; Oxidation-Reduction ; Polychlorinated Biphenyls ; chemistry

OBJECTIVETo illustrate the diagnostic value of Th1/Th2 cytokine pattern in childhood hemophagocytic lymphohistiocytosis (HLH) and its diagnostic accuracy.

METHODThe BD(TM) CBA Human Th1/Th2 Cytokine Kit II was used to measure the serum Th1 and Th2 cytokines, including Interferon-gamma (IFN-γ), tumor necrosis factor (TNF), interleukin (IL)-10, IL-6, IL-4 and IL-2 in 50 patients with de novo HLH admitted to our hospital from Oct. 2005 to Aug. 2009. The above cytokine levels were also determined in 250 healthy volunteers and 235 patients with sepsis as controls.

RESULTThe primary features of these patients were prolonged high-grade fever (50/50), hepatomegaly (44/50), splenomegaly (38/50), hemocytopenia (47/50), hyperferritinemia (49/50), coagulopathy (44/50), hemophagocytosis in bone marrow (42/50), liver dysfunction (42/50) and hypertriglyceridemia (42/50). The IFN-γ, TNF, IL-10, IL-6, IL-4 and IL-2 levels for healthy children were (4.6 ± 1.8) ng/L, (4.0 ± 1.2) ng/L, (6.5 ± 1.3) ng/L, (6.0 ± 1.5) ng/L, (2.9 ± 0.8) ng/L and (2.6 ± 0.7) ng/L, while the median levels of them in acute phase of HLH children were 1138.5 (49.2 - 5000.0) ng/L, 3.4 (1.0 - 25.1) ng/L, 740.5 (26.5 - 5000.0) ng/L, 66.1 (3.9 - 4472.6) ng/L, 3.9 (1.0-32.8) ng/L and 4.0 (1.0 - 51.1) ng/L, respectively. The cytokine levels decreased to 9.1 (1.9 - 180.1) ng/L, 2.9 (1.0 - 11.0) ng/L, 11.4 (2.9 - 184.2) ng/L, 6.5 (1.0 - 44.8) ng/L, 2.7 (1.0 - 6.5) ng/L and 4.1 (1.0 - 12.0) ng/L respectively after remission. The IFN-γ, IL-10 and IL-6 levels in acute phase were significantly higher than those after remission and those of the healthy control (P all < 0.001). IL-4, IL-2 and TNF slightly elevated or at normal range in acute phase of HLH. The patients with sepsis showed a different cytokine pattern, with an extremely high level of IL-6 (median: 251.3 ng/L, range: 8.4- > 5000.0 ng/L) and moderately elevated level of IL-10 (median: 46.5 ng/L, range: 3.1 - 5000.0 ng/L), whereas IFN-γ was only slightly elevated (median: 9.2 ng/L, range: 1.3 - 498.8 ng/L). When the criteria for HLH set as the following: IFN-γ > 100 ng/L, IL-10 > 60 ng/L and the concentration of IFN-γ higher than that of IL-6, the specificity reached as high as 98.7% and the sensitivity was 88.0% for the diagnosis of HLH among patients with HLH and sepsis. Meanwhile, the positive predictive value (PPV) and negative predictive value (NPV) could reach 93.6% and 97.5%, respectively.

CONCLUSIONThe significant increase of IFN-γ and IL-10 with slightly increased level of IL-6 is a sensitive and specific cytokine pattern for childhood HLH, which is helpful for its diagnosis and differential diagnosis.

Adolescent ; Case-Control Studies ; Child ; Child, Preschool ; Cytokines ; blood ; Female ; Humans ; Infant ; Interferon-gamma ; blood ; Interleukin-10 ; blood ; Interleukin-2 ; blood ; Interleukin-4 ; blood ; Interleukin-6 ; blood ; Lymphohistiocytosis, Hemophagocytic ; blood ; diagnosis ; Male ; Sensitivity and Specificity ; Th1 Cells ; metabolism ; Th2 Cells ; metabolism ; Tumor Necrosis Factor-alpha ; blood