Binding of bovine factor Va to phosphatidylcholine membranes

The interaction of bovine factor Va with phosphatidylcholine membranes was examined using four different fluorescence techniques: 1) changes in the fluorescence anisotropy of the fluorescent membrane probe 1,6-diphenyl-1,3,5-hexatriene (DPH) to monitor the interaction of factor Va with 1,2-dimyristoyl-3-sn-phosphatidylcholine (DMPC) small unilamellar vesicles (SUVs), 2) changes in the fluorescence anisotropy of N-(lissamine rhodamine B sulfonyl) diacyl phosphati-dylethanolamine (Rh-PE) incorporated into SUVs prepared from 1-palmitoyl-2-oleoyl-3-sn-phosphatidylcholine (POPC), 3) changes in the fluorescence anisotropy of fluorescein-labeled factor Va (labeled in the heavy chain) upon interaction with POPC SUVs, 4) fluorescence energy transfer from fluorescein-labeled factor Va to rhodamine-labeled POPC SUVs. In the first two sets of experiments, labeled lipid vesicles were titrated with unlabeled protein, whereas, in the latter two types of experiments, labeled factor Va was titrated with vesicles. For the weak binding observed here, it was impossible from any one binding experiment to obtain precise estimates of the three parameters involved in modeling the lipid-protein interaction, namely, the dissociation constant Kd, the stoichiometry of binding i, and the saturation value of the observable Rmax from any one experiment. However, a global analysis of the four data sets involving POPC SUVs yielded a stable estimate of the binding parameters (Kd of approximately 3.0 microM and a stoichiometry of approximately 200 lipids per bound factor Va). Binding to DMPC SUVs may be of slightly higher affinity. These observations support the contention that association of factor Va with a membrane involves a significant acidic-lipid-independent interaction along with the more commonly accepted acidic-lipid-dependent component of the total binding free energy

Binding of bovine factor Va to phosphatidylcholine membranes

The interaction of bovine factor Va with phosphatidylcholine membranes was examined using four different fluorescence techniques: 1) changes in the fluorescence anisotropy of the fluorescent membrane probe 1,6-diphenyl-1,3,5-hexatriene (DPH) to monitor the interaction of factor Va with 1,2-dimyristoyl-3-sn-phosphatidylcholine (DMPC) small unilamellar vesicles (SUVs), 2) changes in the fluorescence anisotropy of N-(lissamine rhodamine B sulfonyl) diacyl phosphati-dylethanolamine (Rh-PE) incorporated into SUVs prepared from 1-palmitoyl-2-oleoyl-3-sn-phosphatidylcholine (POPC), 3) changes in the fluorescence anisotropy of fluorescein-labeled factor Va (labeled in the heavy chain) upon interaction with POPC SUVs, 4) fluorescence energy transfer from fluorescein-labeled factor Va to rhodamine-labeled POPC SUVs. In the first two sets of experiments, labeled lipid vesicles were titrated with unlabeled protein, whereas, in the latter two types of experiments, labeled factor Va was titrated with vesicles. For the weak binding observed here, it was impossible from any one binding experiment to obtain precise estimates of the three parameters involved in modeling the lipid-protein interaction, namely, the dissociation constant Kd, the stoichiometry of binding i, and the saturation value of the observable Rmax from any one experiment. However, a global analysis of the four data sets involving POPC SUVs yielded a stable estimate of the binding parameters (Kd of approximately 3.0 microM and a stoichiometry of approximately 200 lipids per bound factor Va). Binding to DMPC SUVs may be of slightly higher affinity. These observations support the contention that association of factor Va with a membrane involves a significant acidic-lipid-independent interaction along with the more commonly accepted acidic-lipid-dependent component of the total binding free energy

Insights into the complex association of bovine factor Va with acidic-lipid-containing synthetic membranes

The mechanism of binding of blood coagulation cofactor factor Va to acidic-lipid-containing membranes has been addressed. Binding isotherms were generated at room temperature using the change in fluorescence anisotropy of pyrene-labeled bovine factor Va to detect binding to sonicated membrane vesicles containing either bovine brain phosphatidylserine (PS) or 1,2-dioleoyl-3-sn-phosphatidylglycerol (DOPG) in combination with 1-palmitoyl-2-oleoyl-3-sn-phosphatidylcholine (POPC). The composition of the membranes was varied from 0 to 40 mol% for PS/POPC and from 0 to 65 mol % for DOPG/POPC membranes. Fitting the data to a classical Langmuir adsorption model yielded estimates of the dissociation constant (Kd) and the stoichiometry of binding. The values of Kd defined in this way displayed a maximum at low acidic lipid content but were nearly constant at intermediate to high fractions of acidic lipid. Fitting the binding isotherms to a two-process binding model (nonspecific adsorption in addition to binding of acidic lipids to sites on the protein) suggested a significant acidic-lipid-independent binding affinity in addition to occupancy of three protein sites that bind PS in preference to DOPG. Both analyses indicated that interaction of factor Va with an acidic-lipid-containing membrane is much more complex than those of factor Xa or prothrombin. Furthermore, a change in the conformation of bound pyrene-labeled factor Va with surface concentration of acidic lipid was implied by variation of both the saturating fluorescence anisotropy and the binding parameters with the acidic lipid content of the membrane. Finally, the results cannot support the contention that binding occurs through nonspecific adsorption to a patch or domain of acidic lipids in the membrane. Factor Va is suggested to associate with membranes by a complex process that includes both acidic-lipid-specific and acidic-lipid-independent sites and a protein structure change induced by occupancy of acidic-lipid-specific sites on the factor Va molecule

Clocking the formation of today's largest galaxies: Wide field integral spectroscopy of Brightest Cluster Galaxies and their surroundings

The formation and evolution of local brightest cluster galaxies (BCGs) is investigated by determining the stellar populations and dynamics from the galaxy core, though the outskirts and into the intracluster light (ICL). Integral spectroscopy of 23 BCGs observed out to 4 r_e is collected and high signal-to-noise regions are identified. Stellar population synthesis codes are used to determine the age, metallicity, velocity, and velocity dispersion of stars within each region. The intracluster light (ICL) spectra are best modeled with populations that are younger and less metal-rich than those of the BCG cores. The average BCG core age of the sample is 13.3$\pm$ 2.8 Gyr and the average metallicity is [Fe/H] = 0.30 $\pm$ 0.09, whereas for the ICL the average age is 9.2$\pm$3.5 Gyr and the average metallicity is [Fe/H] = 0.18$\pm$0.16. The velocity dispersion profile is seen to be rising or flat in most of the sample (17/23), and those with rising values reach the value of the host cluster's velocity dispersion in several cases. The most extended BCGs are closest to the peak of the cluster's X-ray luminosity. The results are consistent with the idea that the BCG cores and inner regions formed quickly and long ago, with the outer regions and ICL forming more recently, and continuing to assemble through minor merging. Any recent star formation in the BCGs is a minor component, and is associated with the cluster cool core status.Comment: 22 pages, 21 figures, MNRAS, accepte

Inter-rater agreement in the assessment of abnormal chest X-ray findings for tuberculosis between two Asian countries

<p>Abstract</p> <p>Background</p> <p>Inter-rater agreement in the interpretation of chest X-ray (CXR) films is crucial for clinical and epidemiological studies of tuberculosis. We compared the readings of CXR films used for a survey of tuberculosis between raters from two Asian countries.</p> <p>Methods</p> <p>Of the 11,624 people enrolled in a prevalence survey in Hanoi, Viet Nam, in 2003, we studied 258 individuals whose CXR films did not exclude the possibility of active tuberculosis. Follow-up films obtained from accessible individuals in 2006 were also analyzed. Two Japanese and two Vietnamese raters read the CXR films based on a coding system proposed by Den Boon et al. and another system newly developed in this study. Inter-rater agreement was evaluated by kappa statistics. Marginal homogeneity was evaluated by the generalized estimating equation (GEE).</p> <p>Results</p> <p>CXR findings suspected of tuberculosis differed between the four raters. The frequencies of infiltrates and fibrosis/scarring detected on the films significantly differed between the raters from the two countries (<it>P </it>< 0.0001 and <it>P </it>= 0.0082, respectively, by GEE). The definition of findings such as primary cavity, used in the coding systems also affected the degree of agreement.</p> <p>Conclusions</p> <p>CXR findings were inconsistent between the raters with different backgrounds. High inter-rater agreement is a component necessary for an optimal CXR coding system, particularly in international studies. An analysis of reading results and a thorough discussion to achieve a consensus would be necessary to achieve further consistency and high quality of reading.</p

Recommended adult immunization schedule, United States, 2020

In October 2019, the Advisory Committee on Immunization Practices (ACIP) voted to approve the Recommended Adult Immunization Schedule for Ages 19 Years or Older, United States, 2020. The 2020 adult immunization schedule, available at www.cdc.gov/vaccines /schedules/hcp/imz/adult.html, summarizes ACIP recommendations in 2 tables and accompanying notes (Figure). The full ACIP recommendations for each vaccine are available at www.cdc.gov/vaccines/hcp/acip-recs/index.html. The 2020 schedule has also been approved by the director of the Centers for Disease Control and Prevention (CDC) and by the American College of Physicians (www .acponline.org), American Academy of Family Physicians (www.aafp.org), American College of Obstetricians and Gynecologists (www.acog.org), and American College of Nurse-Midwives (www.midwife.org)