Core biomarkers analysis benefit for diagnosis on human intrahepatic cholestasis of pregnancy.

BACKGROUND: The pregnant women with intrahepatic cholestasis were at high risk of fetal distress, preterm birth and unexpected stillbirth. Intrahepatic cholestasis of pregnancy (ICP) was mainly caused by disorder of bile acid metabolism, whereas the specific mechanism was obscure. METHODS: We performed proteomics analysis of 10 ICP specimens and 10 placenta specimens from patients without ICP through data-independent acquisition (DIA) technique to disclose differentially expressed proteins. We executed metabolomic analysis of 30 ICP specimens and 30 placenta specimens from patients without ICP through UPLC-MS/MS to identify differentially expressed metabolites. Enrichment and correlation analysis was used to obtain the direct molecular insights of ICP development. The ICP rat models were constructed to validate pathological features. RESULTS: The heatmap of proteomics analysis showed the top 30 up-regulated and 30 down-regulated proteins. The metabolomic analysis revealed 20 richer and 4 less abundant metabolites in ICP samples compared with placenta specimens from patients without ICP, and enrichment pathways by these metabolites included primary bile acid biosynthesis, cholesterol metabolism, bile secretion, nicotinate and nicotinamide metabolism, purine metabolism and metabolic pathways. Combined analysis of multiple omics results demonstrated that bile acids such as Glycohyocholic acid, Glycine deoxycholic acid, beta-Muricholic acid, Noncholic acid, cholic acid, Gamma-Mercholic Acid, alpha-Muricholic acid and Glycochenodeoxycholic Aicd were significantly associated with the expression of GLRX3, MYL1, MYH7, PGGT1B, ACTG1, SP3, LACTB2, C2CD5, APBB2, IPO9, MYH2, PPP3CC, PIN1, BLOC1S1, DNAJC7, RASAL2 and ATCN3 etc. The core protein ACAT2 was involved in lipid metabolic process and animal model showed that ACAT2 was up-regulated in placenta and liver of pregnant rats and fetal rats. The neonates had low birth weight and Safranin O-Fast green FCF staining of animal models showed that poor osteogenic and chondrogenic differentiation of fetal rats. CONCLUSION: Multiple metabolites-alpha-Muricholic acid, beta-Muricholic acid, Glycine deoxycholic acid and Glycochenodeoxycholic Acid etc. were perfect biomarkers to predict occurrence of ICP. Bile acids were significantly associated with varieties of protein expression and these proteins were differentially expressed in ICP samples. Our study provided several biomarkers for ICP detection and potential therapeutic targets for ICP development.

Broad-specificity immunoassay for O,O-diethyl organophosphorus pesticides: application of molecular modeling to improve assay sensitivity and study antibody recognition.

A monoclonal antibody (mAb) against 4-(diethoxyphosphorothioyloxy)benzoic acid (hapten 1) was raised and used to develop a broad-specificity competitive indirect enzyme-linked immunosorbent assay (ciELISA) for 14 O,O-diethyl organophosphorus pesticides (OPs). Computer-assisted molecular modeling was used to model two-dimensional (2D) and three-dimensional (3D) quantitative structure-activity relationships (QSARs) to study antibody recognition. On the basis of insights obtained from the QSAR models, two heterologous coating haptens, 4-(diethoxyphosphorothioylamino)butanoic acid (hapten 2) and 4-(diethoxyphosphorothioyloxy)-2-methylbenzoic acid (hapten 3) were designed, synthesized, and used to develop heterologous ciELISAs with significantly improved sensitivity. The heterologous ciELISA using hapten 2 as the coating hapten showed good sensitivity in a broad-specific manner for eight O,O-diethyl OPs and may be used as a screening method for the determination of these OPs. Our studies demonstrated that molecular modeling can provide insights into the spatial and electronic effects of molecular structures that are important for antibody activity, which can then be used to improve immunoassay sensitivity.

[Expression of MMP-2 and TIMP-1 in renal tissues of patients with chronic active antibody-mediated renal graft rejection].

OBJECTIVE: To investigate the expressions of matrix metalloprotein-2 (MMP-2) and tissue inhibitor of metallopeptidase inhibitor-1 (TIMP-1) in the renal allografts of patients with chronic active antibody-mediated rejection (ABMR), and explore their role in the pathogenesis of ABMR. METHODS: Immunohistochemistry and computer-assisted image analysis were used to detect the expression of MMP-2 and TIMP-1 in the renal allografts of 46 patients with interstitial fibrosis and tubular atrophy (IF/TA), with 15 normal renal tissue specimens as the control. The association of MMP-2 and TIMP-1 with the pathological grade of IF/TA in ABMR was analyzed. RESULTS: The expressions of MMP-2 and TIMP-1 significantly increased in the renal tissues of the patients as compared with the normal renal tissues (P<0.05). MMP-2 expression tended to decrease, while TIMP-1 and serum creatinine increased with the pathological grades of IF/TA (P<0.05). In IF/TA group, the expression of TIMP-1 was positively correlated to serum creatinine level (r=0.718, P=0.00<0.05). CONCLUSION: Abnormal expressions of MMP-2 and TIMP-1 can promote the development of renal fibrosis in chronic ABMR.

Production and characterization of a broad-specificity polyclonal antibody for O,O-diethyl organophosphorus pesticides and a quantitative structure-activity relationship study of antibody recognition.

Polyclonal antibody (PAb) with broad-specificity for O,O-diethyl organophosphorus pesticides (OPs) against a generic hapten, 4-(diethoxyphosphorothioyloxy)benzoic acid, was produced. The obtained PAb showed high sensitivity to seven commonly used O,O-diethyl OPs in a competitive indirect enzyme-linked immunosorbent assay (ciELISA) using a heterologous coating antigen, 4-(3-(diethoxyphosphorothioyloxy)phenylamino)-4-oxobutanoic acid. The 50% inhibition value (IC50) was 348 ng mL(-1) for parathion, 13 ng mL(-1) for coumaphos, 22 ng mL(-1) for quinalphos, 35 ng mL(-1) for triazophos, 751 ng mL(-1) for phorate, 850 ng mL(-1) for dichlofenthion, and 1301 ng mL(-1) for phoxim. The limit of detection (LOD) met the ideal detection criteria of all the seven OP residues. A quantitative structure-activity relationship (QSAR) model was constructed to study the mechanism of antibody recognition using multiple linear regression analysis. The results indicated that the frontier-orbital energies (energy of the highest occupied molecular orbital, E(HOMO), and energy of the lowest unoccupied molecular orbital, E(LUMO)) and hydrophobicity (log of the octanol/water partition coefficient, log P) were mainly responsible for the antibody recognition. The linear equation was log(IC50) = -63.274E(HOMO) + 15.985E(LUMO) + 0.556 log P-25.015, with a determination coefficient (r2) of 0.908.