BACKGROUND & AIMS Variations in genes that regulate bile acid (BA) synthesis are associated with colonic transit in patients with irritable bowel syndrome (IBS). We investigated features of BA synthesis and excretion and genetic features of patients with different types of IBS. METHODS In 26 healthy volunteers, 26 patients with IBS and constipation (IBS-C), and 26 with IBS and diarrhea (IBS-D), we measured serum levels of 7α-hydroxy-4-cholesten-3-one (C4; a surrogate for BA synthesis) and fibroblast growth factor (FGF) 19 (an ileal hormone that downregulates BA synthesis). For stool samples, we measured concentration of BA, weight, and amount of fat when participants were given high-fat diets. Spearman correlations were used to explore relationships among factors. We analyzed 1 polymorphism in Klotho-β (KLB) and 3 in fibroblast growth factor receptor-4 (FGFR4) for all members of each group using analysis of covariance. RESULTS The concentration of BA in stool was associated with group (for a comparison of 3 groups; P = .057); it was higher in patients with IBS-D than IBS-C (P = .017). The serum level of C4 was higher in patients with IBS-D than IBS-C (P = .02) or healthy volunteers (P = .01); 38% of patients with IBS-D had increased serum levels of C4, compared with healthy volunteers. Serum level of C4 correlated with stool concentration of BA (rs = 0.606; P < .001), serum FGF19 (rs = −0.324; P = .007), and stool weight (rs = 0.366; P = .003). Stool concentration of BA correlated with weight (rs = 0.737; P < .001) and level of fat (rs = 0.528; P < .001). Body mass index correlated with serum level of C4 (rs = 0.423, P < .001) and stool concentration of BA (rs = 0.507, P < .001), and was higher in patients with IBS-D compared with other groups (overall P = .036). FGFR4 rs1966265 was associated with stool level of BA (P = .032). CONCLUSIONS Patients with IBS-D have greater body mass index and synthesize and excrete higher levels of BA than individuals with IBS-C or healthy volunteers. Serum levels of C4 might be used to identify patients with IBS-D who have BA malabsorption; studies are needed to determine if some patients have a genetic predisposition to this disorder.

Background: Zn-␣2 glycoprotein (ZAG) is a relatively abundant glycoprotein that has potential as a biomarker for prostate cancer. We present a high-flow liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for measuring serum ZAG concentrations by proteolytic cleavage of the protein and quantification of a unique peptide. Methods: We selected the ZAG tryptic peptide 147 EI-PAWVPEDPAAQITK 162 as the intact protein for quantification and used a stable isotope-labeled synthetic peptide with this sequence as an internal standard. Standards using recombinant ZAG in bovine serum albumin, 50 g/L, and a pilot series of patient sera were denatured, reduced, alkylated, and digested with trypsin. The concentration of ZAG was calculated from a dose-response curve of the ratio of the relative abundance of the ZAG tryptic peptide to internal standard.

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The fluorescent probe Prodan has been widely used as a probe of model and biological membranes. Its fluorescent maxima in phospholipid bilayers vary as a function of phase state, with maxima at 485 for the liquid crystal Lalpha, 435 nm for the gel L'beta, and 507 nm for the interdigitated gel LbetaI phase, with excitation at 359 nm. These spectral changes have been used for the detection of phase changes among these phases. In the present study, the fluorescent properties and partition coefficients of Prodan in model membranes of phosphatidylcholines and phosphatidylethanols have been studied as a function of lipid phase state and cholesterol content. It is shown that the Prodan spectrum in the presence of cholesterol no longer reflects the known phase state of the lipid; in each phase state, the presence of cholesterol leads to a spectrum with the maximum at 435 nm, characteristic of the noninterdigitated gel phase. The partition coefficient of Prodan into these lipids also varies with the phase state, giving values of 0.35 x 10(4) in the interdigitated gel, 1.8 x 10(4) in the noninterdigitated gel, and 7. 6 x 10(4) in the liquid crystal phase. In the presence of cholesterol these partition coefficients are increased to 13 x 10(4) for the liquid crystal and the gel phase, and 5.1 x 10(4) in the presence of 100 mg/ml ethanol. These results suggest that Prodan has preferential interactions with cholesterol, and is thus not a randomly distributed fluorescent reporter probe in membranes containing cholesterol. These results suggest that Prodan should be used only with great caution in complex lipid mixtures, particularly biological membranes.

BACKGROUND Improved tests are needed for detection and management of prostate cancer. We hypothesized that differential gene expression in prostate tissue could help identify candidate blood biomarkers for prostate cancer and that blood from men with advanced prostate disease could be used to verify their presence in circulation. METHODS Candidate markers were identified using mRNA expression patterns from laser-capture microdissected prostate tissue. Tissue expression was confirmed using immunohistochemistry (IHC) for the subset of candidates having commercial antisera. Tissue extracts were analyzed with tandem mass spectrometry (MS/MS). Blood concentrations were measured using immunoassays and MS/MS of trypsin-digested, immuno-extracted peptides. RESULTS Thirty-five novel candidate prostate adenocarcinoma biomarkers were selected. Tissue expression was confirmed for all of the 13 markers having commercial antisera for IHC and six of these markers showed statistical discrimination between normal and malignant tissue. Only 5 of these markers were detected in tissue extracts using MS/MS. Sixteen of the 35 candidate markers were successfully assayed in blood. Four of eight biomarkers measured with ELISA and 3 of 10 biomarkers measured by targeted MS showed statistically significant increases in blood concentrations of advanced prostate cancer cases, compared to controls. CONCLUSION Seven novel biomarkers identified by gene expression profiles in prostate tissue were shown to have statistically significant increased levels in blood from men with advanced prostate adenocarcinoma compared to controls: APOC1, ASPN, COMP, CXCL11, CXCL9, F5, and PCSK6.