Alzheimer's disease-associated complement gene variants influence plasma complement protein levels.

BACKGROUND: Alzheimer's disease (AD) has been associated with immune dysregulation in biomarker and genome-wide association studies (GWAS). GWAS hits include the genes encoding complement regulators clusterin (CLU) and complement receptor 1 (CR1), recognised as key players in AD pathology, and complement proteins have been proposed as biomarkers. MAIN BODY: To address whether changes in plasma complement protein levels in AD relate to AD-associated complement gene variants we first measured relevant plasma complement proteins (clusterin, C1q, C1s, CR1, factor H) in a large cohort comprising early onset AD (EOAD; n = 912), late onset AD (LOAD; n = 492) and control (n = 504) donors. Clusterin and C1q were significantly increased (p < 0.001) and sCR1 and factor H reduced (p < 0.01) in AD plasma versus controls. ROC analyses were performed to assess utility of the measured complement biomarkers, alone or in combination with amyloid beta, in predicting AD. C1q was the most predictive single complement biomarker (AUC 0.655 LOAD, 0.601 EOAD); combining C1q with other complement or neurodegeneration makers through stepAIC-informed models improved predictive values slightly. Effects of GWS SNPs (rs6656401, rs6691117 in CR1; rs11136000, rs9331888 in CLU; rs3919533 in C1S) on protein concentrations were assessed by comparing protein levels in carriers of the minor vs major allele. To identify new associations between SNPs and changes in plasma protein levels, we performed a GWAS combining genotyping data in the cohort with complement protein levels as endophenotype. SNPs in CR1 (rs6656401), C1S (rs3919533) and CFH (rs6664877) reached significance and influenced plasma levels of the corresponding protein, whereas SNPs in CLU did not influence clusterin levels. CONCLUSION: Complement dysregulation is evident in AD and may contribute to pathology. AD-associated SNPs in CR1, C1S and CFH impact plasma levels of the encoded proteins, suggesting a mechanism for impact on disease risk.

γ-H2AX+CD8+ T lymphocytes cannot respond to IFN-α, IL-2 or IL-6 in chronic hepatitis C virus infection.

BACKGROUND & AIMS: Age is the dominant prognostic factor influencing the natural history of hepatitis C virus (HCV) infection and treatment response. Accelerated lymphocyte telomere shortening in HCV infection correlates with adverse clinical outcomes. Critical telomere shortening generates double-stranded DNA breaks (DSB) inducing the DNA damage response, leading to replicative senescence. The phenotype and function of CD8+ T lymphocytes and the in vitro response to IFN-α in relation to the DNA damage response were investigated in patients with chronic HCV infection. METHODS: CD8+ T lymphocytes with DSB were identified by expression of γ-H2AX (Ser-139) in 134 HCV-exposed subjects and 27 controls. Telomere length was determined by flow-FISH; cytokine expression by intracellular cytokine staining; in vitro responses to IFN-α, IL-2 or IL-6 by phospho-STAT1 (Y701) or phospho-STAT5 (Y694) expression. RESULTS: The proportion of circulating CD8+γ-H2AX+ T lymphocytes rose with increasing fibrosis stage (p=0.0023). CD8+γ-H2AX+ T lymphocytes were enriched in liver compared to blood (p=0.03). CD8+γ-H2AX+ T lymphocytes demonstrated increased IFN-γ (p=0.02) and reduced IL-2 expression (p=0.02). CD8+γ-H2AX+ T lymphocytes failed to phosphorylate STAT1 in response to IFN-α compared to unfractionated CD8+ T lymphocytes (p <0.0001). More widespread failure of Jak/Stat signalling in CD8+γ-H2AX+ T lymphocytes was suggested by impaired phosphorylation of STAT1 with IL-6 (p=0.002) and STAT5 with IL-2 (p=0.0039) compared to unfractionated CD8+ T-lymphocytes. CONCLUSIONS: In chronic HCV infection, CD8+γ-H2AX+ T lymphocytes are highly differentiated with shortened telomeres, are more frequent within the liver, are associated with severe fibrosis and fail to activate Jak/Stat pathways in response to IFN-α, IL-2 or IL-6, perhaps explaining treatment failure in those with severe fibrosis.

Mimic of a large-scale diafiltration process by using ultra scale-down rotating disc filter.

Ultra scale-down (USD) approach is a powerful tool to predict large-scale process performance by using very small amounts of material. In this article, we present a method to mimic flux and transmission performance in a labscale crossflow operation by an USD rotating disc filter (RDF). The Pellicon 2 labscale system used for evaluation of the mimic can readily be related to small pilot and industrial scale. Adopted from the pulsed sample injection technique by Ghosh and Cui (J Membr Sci. 2000;175:5-84), the RDF has been modified by building in inserts to allow the flexibility of the chamber volume, so that only 1.5 mL of processing material is required for each diafiltration experiment. The reported method enjoys the simplicity of dead-end mode operation with accurate control of operation conditions that can mimic well the crossflow operation in large scale. Wall shear rate correlations have been established for both the labscale cassette and the USD device, and a mimic has been developed by operating both scales under conditions with equivalent averaged shear rates. The studies using E. coli lysate show that the flux vs. transmembrane pressure profile follows a first-order model, and the transmission of antibody fragment (Fab') is independent of transmembrane pressure. Predicted flux and transmission data agreed well with the experimental results of a labscale diafiltration where the cassette resistance was considered.

Ligand affinity for amino-terminal and juxtamembrane domains of the corticotropin releasing factor type I receptor: regulation by G-protein and nonpeptide antagonists.

Peptide ligands bind the CRF(1) receptor by a two-domain mechanism: the ligand's carboxyl-terminal portion binds the receptor's extracellular N-terminal domain (N-domain) and the ligand's amino-terminal portion binds the receptor's juxtamembrane domain (J-domain). Little quantitative information is available regarding this mechanism. Specifically, the microaffinity of the two interactions and their contribution to overall ligand affinity are largely undetermined. Here we measured ligand interaction with N- and J-domains expressed independently, the former (residues 1-118) fused to the activin IIB receptor's membrane-spanning alpha-helix (CRF(1)-N) and the latter comprising residues 110-415 (CRF(1)-J). We also investigated the effect of nonpeptide antagonist and G-protein on ligand affinity for N- and J-domains. Peptide agonist affinity for CRF(1)-N was only 1.1-3.5-fold lower than affinity for the whole receptor (CRF(1)-R), suggesting the N-domain predominantly contributes to peptide agonist affinity. Agonist interaction with CRF(1)-J (potency for stimulating cAMP accumulation) was 12000-1500000-fold weaker than with CRF(1)-R, indicating very weak direct agonist interaction with the J-domain. Nonpeptide antagonist affinity for CRF(1)-J and CRF(1)-R was indistinguishable, indicating the compounds bind predominantly the J-domain. Agonist activation of CRF(1)-J was fully blocked by nonpeptide antagonist, suggesting antagonism results from inhibition of agonist-J-domain interaction. G-protein coupling with CRF(1)-R (forming RG) increased peptide agonist affinity 92-1300-fold, likely resulting from enhanced agonist interaction with the J-domain rather than the N-domain. Nonpeptide antagonists, which bind the J-domain, blocked peptide agonist binding to RG, and binding of peptide antagonists, predominantly to the N-domain, was unaffected by R-G coupling. These findings extend the two-domain model quantitatively and are consistent with a simple equilibrium model of the two-domain mechanism: (1) The N-domain binds peptide agonist with moderate-to-high microaffinity, substantially increasing the local concentration of agonist and so allowing weak agonist-J-domain interaction. (2) Agonist-J-domain interaction is allosterically enhanced by receptor-G-protein interaction and inhibited by nonpeptide antagonist.

Molecular mechanisms of ligand recognition by parathyroid hormone 1 (PTH1) and PTH2 receptors.

The mammalian parathyroid hormone (PTH) / PTH receptor family includes PTH1 and PTH2 receptors and three related ligands (PTH, PTH-related protein (PTHrP) an d tuberoinfundibular peptide of 39 residues (TIP39)). Here we comparatively and systematically review the pharmacological properties of PTH receptors and ligands, structure of the ligands, and molecular mechanisms of receptor-ligand interaction. The PTH1 receptor is activated by PTH and PTHrP but not by TIP39. The PTH2 receptor is activated by TIP39 but not by PTHrP. PTH strongly activates the human PTH2 receptor but is a weak partial agonist for rat and zebrafish PTH2 receptors. Receptor-G-protein interaction increases the receptor binding selectivity of PTHrP and TIP39. Despite different primary structures, the secondary structures of PTH, PTHrP and TIP39 are quite similar. Each ligand contains an N-terminal and a C-terminal alpha-helix in secondary structure-inducing conditions. Receptor-bound ligand structure is less well-characterized. The orientation of receptor-ligand interaction is highly similar for PTH and PTHrP binding to the PTH1 receptor and TIP39 interaction with the PTH2 receptor. Ligands bind according to a 'two-site' mechanism, in which the C-terminal portion of the ligand binds the extracellular N-terminal domain of the receptor (N-interaction), and the N-terminal ligand portion binds to the juxtamembrane receptor domain (J-interaction). The N-interaction provides most of the PTH1-receptor binding energy for PTH and PTHrP but provides less energy for PTH2 receptor-TIP39 interaction. The J-interaction stimulates G-protein activation. For the PTH-PTH1 receptor interaction, the efficacy-generating component of the J-interaction is independent of the N-domain of the receptor and C-terminal portion of the ligand. This finding suggests that it might be possible to design low molecular-weight PTH1 receptor agonists, which could be bone anabolic agents and used for the treatment of osteoporosis.

Evaluating the signal transduction mechanism of the parathyroid hormone 1 receptor. Effect of receptor-G-protein interaction on the ligand binding mechanism and receptor conformation.

Ligand binding to the PTH1 receptor is described by a "two-site" model, in which the C-terminal portion of the ligand interacts with the N-terminal domain of the receptor (N interaction), and the N-terminal region of the ligand binds the juxtamembrane domain of the receptor (J interaction). Previous studies have not considered the dynamic nature of receptor conformation in ligand binding and receptor activation. In this study the ligand binding mechanism was compared for the G-protein-coupled (RG) and uncoupled (R) PTH1 receptor conformations. The two-site model was confirmed by demonstration of spatially distinct binding sites for PTH(3-34) and PTH(1-14): PTH(1-14), which binds predominantly to the J domain, only partially inhibited binding of 125I-PTH(3-34); and PTH(3-34), shown to bind predominantly to the N domain, only partially inhibited PTH(1-14)-stimulated cAMP accumulation. To assess the effect of R-G coupling, ligand binding to R was measured by displacement of 125I-PTH(3-34) with 30 microM guanosine 5'-3-O-(thio)triphosphate (GTPgammaS) present, and binding to RG was measured by displacement of 125I-[MAP]PTHrP(1-36) (where MAP is model amphipathic peptide), a new radioligand that binds selectively to RG. Agonists bound with higher affinity to RG than R, whereas antagonists bound similarly to these states. The J interaction was responsible for enhanced agonist binding to RG: residues 1 and 2 were required for increased PTH(1-34) affinity for RG; residue 5 of MAP-PTHrP(1-36) was a determinant of R/RG binding selectivity, and PTH(1-14) bound selectively to RG. The N interaction was insensitive to R-G coupling; PTH(3-34) binding was GTPgammaS-insensitive. Finally, several observations suggest the receptor conformation is more "closed" at RG than R. At the R state, an open conformation is suggested by the simultaneous binding of PTH(1-14) and PTH(3-34). At RG PTH(1-14) better occluded binding of 125I-PTH(3-34) and agonist ligands bound pseudo-irreversibly, suggesting a more closed conformation of this receptor state. The results extend the two-site model to take into account R and RG conformations and suggest a model for differences of receptor conformation between these states.

Feedback regulation of arginine biosynthesis in blue-green algae and photosynthetic bacteria.

Hoare, D. S. (The University of Texas, Austin), and S. L. Hoare. Feedback regulation of arginine biosynthesis in blue-green algae and photosynthetic bacteria. J. Bacteriol. 92:375-379. 1966.-A number of blue-green algae and photosynthetic bacteria synthesize arginine from glutamate via acetylated intermediates. Cell-free extracts of these photosynthetic microorganisms contain an N-acetyl glutamate phosphokinase, which is specifically inhibited by arginine. They also contain a transacetylase which forms ornithine from alphaN-acetyl ornithine and glutamate. The transacetylase appears to be specific for l-glutamate. Arginine synthesis and its regulation by feedback inhibition in photosynthetic microorganisms differ from that in Escherichia coli and other Enterobacteriaceae.