Multilocus genetic determinants of LDL particle size in coronary artery disease families.

Recent interest in atherosclerosis has focused on the genetic determinants of low-density lipoprotein (LDL) particle size, because of (i) the association of small dense LDL particles with a three-fold increased risk for coronary artery disease (CAD) and (ii) the recent report of linkage of the trait to the LDL receptor (chromosome 19). By utilizing nonparametric quantitative sib-pair and relative-pair analysis methods in CAD families, we tested for linkage of a gene or genes controlling LDL particle sizes with the genetic loci for the major apolipoproteins and enzymes participating in lipoprotein metabolism. We confirmed evidence for linkage to the LDL receptor locus (P=.008). For six candidate gene loci, including apolipoprotein(apo)B, apoAII, apo(a), apoE-CI-CII, lipoprotein lipase, and high-density lipoprotein-binding protein, no evidence for linkage was observed by sib-pair linkage analyses (P values ranged from .24 to .81). However, in addition, we did find tentative evidence for linkage with the apoAI-CIII-AIV locus (chromosome 11) (P=.06) and significant evidence for linkage of the cholesteryl ester transfer protein locus (chromosome 16) (P=.01) and the manganese superoxide dismutase locus (chromosome 6) (P=.001), thus indicating multilocus determination of this atherogenic trait.     

Effects of Brefeldin A on Galactosphingolipid Synthesis in an Immortalized Schwann Cell Line: Evidence for Different Intracellular Locations of Galactosylceramide Sulfotransferase and Ceramide Galactosyltransferase Activities

Abstract: Brefeldin A (BFA) has been used extensively to study the intracellular transport and processing of proteins and sphingolipids because of its dramatic alteration of the structural and functional organization of the Golgi. We have examined the effect of BFA on the synthesis of galactosylceramide sulfate (SGalCer) and its immediate precursor galactosylceramide (GalCer) in an immortalized Schwann cell line (S16) to determine the intracellular sites of synthesis of these two related glycolipids. During a 6-h labeling period, a dose-dependent inhibition of [³⁵S]sulfate incorporation into SGalCer was observed with 95% inhibition occurring at 0.5 µg/ml BFA. Labeling of newly synthesized galactosphingolipids with [³H]-palmitic acid for 6 h in the presence of BFA resulted in increased incorporation of label into GalCer containing nonhydroxy fatty acids (NFA-GalCer) to 162% of control values, whereas labeling of GalCer containing 2-hydroxy fatty acids (HFA-GalCer) was reduced to 63% of control. After 24 h, these values were at 366 and 91%, respectively. These results indicate that at least some of the HFA-GalCer was initially synthesized at a location distal to the BFA block and separate from the site of NFA-GalCer synthesis. Examination of [³H]palmitic acid incorporation into free ceramides showed an increase of 133 and 161% for hydroxy and nonhydroxy fatty acid ceramides, respectively, in cells treated for 6 h with BFA in comparison with levels found in untreated control cells, indicating that BFA did not block fatty acid 2-hydroxylation or the formation of HFA ceramide. Incorporation of [³H]palmitic acid into glucosylceramide and GM3 was increased over control levels whereas labeling of GM2 was inhibited, consistent with what has been reported previously for the effect of BFA on these glycolipids in other cell types. These results suggest that there are at least two separate intracellular sites for the galactosylation of HFA and NFA ceramide, respectively, which can be distinguished by their sensitivity to BFA. Our results also indicate that the site of GalCer sulfation is not redistributed to the endoplasmic reticulum in the presence of BFA and therefore may be localized to the distal Golgi or trans-Golgi network.     

Physiological methods to study biofilm disinfection

This report reviews the development of a rapidin situ approach to study the physiological responses of bacteria within biofilms to disinfectants. One method utilized direct viable counts (DVC) to assess the disinfection efficacy when thin biofilms were exposed to chlorine or monochloramine. Results obtained using the DVC method were one log higher than plate count (PC) estimates of the surviving population after disinfection. Other methods incorporated the use of fluorogenic stains, a cryotomy technique to yield thin (5-m) sections of biofilm communities and examination by fluorescence microscopy. The fluorogenic stains used in this approach included 5-cyano-2,3-ditolyl tetrazolium chloride (CTC), which indicates cellular electron transport activity and Rhodamine 123, which responds specifically to proton motive force. The use of these stains allowed the microscopic discrimination of physiologically active bacteria as well as heterogeneities of active cells within thicker biofilms. The results of experiments using these techniques with pure culture and binary population biofilms on stainless steel coupons indicated biocidal activity of chlorine-based disinfectants occurred initially at the bulk-fluid interface of the communities and progressed toward the substratum. This approach provided a unique opportunity to describe the spatial response of bacteria within biofilms to antimicrobial agents and address mechanisms explaining their comparative resistance to disinfection in a way that has not been possible using traditional approaches. Results obtained using this alternative approach were also consistently higher than PC data following disinfection. These observations suggest that traditional methods involving biofilm removal and bacterial enumeration by colony formation overestimate biocide efficacy. Hence the alternative approach described here more accurately indicates the ability of bacteria surviving disinfection to recover and grow as well as demonstrate spatial heterogeneities in cellular physiological activities within biofilms.     

Lipid Binding to Amyloid β-Peptide Aggregates: Preferential Binding of Cholesterol as Compared with Phosphatidylcholine and Fatty Acids

Abstract: Amyloid β-peptide (Aβ) aggregates are one of the key neuropathological characteristics of Alzheimer's disease. Aβ belongs to a group of proteins that aggregate and form β-sheets, and some of these proteins bind cholesterol and other lipids. The purpose of the experiments reported here was to determine if cholesterol, fatty acids, and phosphatidylcholine (PC) would bind to Aβ_1–40 and if such binding would be dependent on aggregation of Aβ_1–40. Lipid binding was determined using fluorescent-labeled lipids. Incubation of Aβ_1–40 for 0, 1, 3, 6, 21, and 24 h resulted in aggregation of the peptide with formation of dimers, trimers (1–24 h), and polymers (6–24 h) as determined by sodium dodecyl sulfate-gel electrophoresis. No change in the fluorescence of the lipids was observed when lipids were added to Aβ_1–40 that had been incubated for 0, 1, or 3 h. However, the fluorescence intensities of cholesterol, saturated fatty acids, and PC were significantly increased (p < 0.0001) when added to Aβ_1–40 that had been incubated for 6, 21, and 24 h in which Aβ_1–40 polymers were detected. The binding affinity of cholesterol to Aβ_1–40 polymers (K_D of 3.24 ± 0.315 × 10^?9M) was markedly higher as compared with the other lipids (stearic acid, 9.42 ± 0.41 × 10^?8M; PC, 7.07 ± 0.12 × 10^?7M). The results of this study indicate that Aβ_1–40 polymers bind lipids and have a higher affinity for cholesterol than PC or saturated fatty acids. Aggregated Aβ_1–40 may affect lipid transport between cells or remove specific lipids from membranes, and such effects could contribute to neuronal dysfunction.     

Integrated Methods to Solve the Biological Basis of Common Diseases

Biological variations influence population variations of many common traits. Identification of the biological basis of many common diseases has been particularly difficult, but new reagents and analytical tools will greatly facilitate this process. The goal of this review is to discuss how to identify the biological basis of common traits by using mouse models. No single method will work for all traits. Understanding complex problems will require broadly based holistic approaches that use a wide array of tools and resources. A multiplicity of developed methods together provide the tools needed to identify the biological basis of any common trait. These tools, whole-genome linkage maps, maps of expressed genes, and statistical methods, deal with the complexities of multiple loci or correlated traits. This review provides some criteria for making choices about the likely productive approaches at each stage in the process of finding genes that influence common traits.     

Myosin light-chain expression during avian muscle development

Monoclonal antibodies to adult chicken myosin light chains were generated and used to quantitate the types of myosin light-chain (MLC) isoforms expressed during development of the pectoralis major (PM), anterior latissimus dorsi (ALD), and medial adductor (MA) muscles of the chicken. These are muscles which, in the adult, are composed predominantly of fast, slow, and a mixture of fiber types, respectively. Three distinct phases of MLC expression characterized the development of the PM and MA muscles. The first identifiable pase occurred during the period of 5-7 d of incubation in ovo. Extracts of muscles from the pectoral region (which included the presumptive PM muscle) contained only fast MLC isoforms. This period of exclusive fast light-chain synthesis was followed by a phase (8- 12 d of incubation in ovo) in which coexpression of both fast and slow MLC isoforms was apparent in both PM and MA muscles. During the period, the composition of both fast and slow MLC isoforms in the PM and MA muscles was identical. Beginning at day 12 in ovo, the ALD was also subjected to immunochemical analyses. The proportion of fast and slow MLCs in this muscle at day 12 was similar to that present in the other muscles studied. The third development phase of MLC expression began at approximately 12 d of incubation in ovo and encompassed the transition in MLC composition to the isoform patterns incubation in ovo and encompassed the transition in MLC composition to the isoform patterns typical of adult muscle. During this period, the relative proportion of slow MLC rose in both the MA and ALD and fell in the PM. By day 16, the third fast light chain, LC(3f), was apparent in extracts of both the PM and MA. These results show that there is a developmental progression in the expression of MLC in the two avian muscles studied from day 5 in ovo; first, only fast MLCs are accumulated, then both fast and slow MLC isoforms are expressed. Only during the latter third of development in ovo is the final MLC isoform pattern characteristic of a particular muscle type expressed.