Estimating Risk from Small Inocula by Using Population Growth Parameters

Risk from an uncertain small inoculum depends on variability of single-cell lag times. However, quantifying single-cell variability is technically challenging. It is possible to estimate this variability using population growth parameters. We demonstrate this possibility using data from literature and show a Bayesian scheme for performing this task.An inoculum size effect on a bacterial population lag phase has been demonstrated in many studies of bacterial growth (2, 7, 9). These authors showed that, with smaller inoculum levels, the uncertainty in the population lag parameter increases. Pin and Baranyi (8), using a computer simulation model, demonstrated that the inoculum effect on the population lag time was not evident when more that 40 cells were used to initiate growth in their system.A bacterial population at time t, grown from an inoculum consisting of n cells, can be represented by (1) where μ is the specific growth rate for cells (we assume this is constant within the cell inoculum). We assume that the lag times of individual cells in the inoculum, L_i, are identically and independently distributed random variables. Taking the natural logarithm of the cell population in equation 1, for sufficiently large time t, and comparing the result with a biphasic model for growth gives the population lag time, λ, arising from an initial inoculum of size n as (see, e.g., reference 5) (2) In this report we will show that this model is consistent with actual observations of growth from small inocula and therefore that it can be used, in combination with easily obtainable population parameters and Bayesian inference, to estimate details of single-cell variability. This approach is in contrast to using observations from experiments initiated with small inocula, such as a bioscreen, to infer single-cell variability parameters (see, e.g., reference 5) and hence is valuable when these measurements are unavailable.Francois et al. (4) measured a comprehensive set of individual cell lag times for Listeria monocytogenes under different environmental conditions and quantified the variability of these lag times using either a gamma or Weibull distribution. We have used these variability distributions of single-cell lag phase to derive a population lag, λ, and compared modeled growth data to experimental growth data from the ComBase database (www.combase.cc). The ComBase database currently contains about 9,000 L. monocytogenes data records. We selected 32 growth curves from ComBase which closely matched the environmental conditions used by Francois et al. (4). Table ​Table11 gives the database identification numbers of the L. monocytogenes growth data used in this study, the corresponding single-cell growth parameters of Francois et al. (4), and the derived population lag for n = 10³.

TABLE 1.

Listeria monocytogenes growth data from the ComBase database with equivalent single-cell growth parameters of Francois et al. (4) and the estimated population parameters λ^a

Molecular cloning and characterization of an alpha1,3 fucosyltransferase, CEFT-1, from Caenorhabditis elegans

We report on the identification, molecular cloning, and characterization of an alpha1,3 fucosyltransferase (alpha1,3FT) expressed by the nematode, Caenorhabditis elegans . Although C. elegans glycoconjugates do not express the Lewis x antigen Galbeta1-- >4[Fucalpha1-->3]GlcNAcbeta-->R, detergent extracts of adult C.elegans contain an alpha1,3FT that can fucosylate both nonsialylated and sialylated acceptor glycans to generate the Lexand sialyl Lexantigens, as well as the lacdiNAc-containing acceptor GalNAcbeta1-->4GlcNAcbeta1-- >R to generate GalNAcbeta1-->4 [Fucalpha1-->3]GlcNAcbeta1-->R. A search of the C.elegans genome database revealed the existence of a gene with 20-23% overall identity to all five cloned human alpha1,3FTs. The putative cDNA for the C.elegans alpha1,3FT (CEFT-1) was amplified by PCR from a cDNA lambdaZAP library, cloned, and sequenced. COS7 cells transiently transfected with cDNA encoding CEFT-1 express the Lex, but not sLexantigen. The CEFT-1 in the transfected cell extracts can synthesize Lex, but not sialyl Lex, using exogenous acceptors. A second fucosyltransferase activity was detected in extracts of C. elegans that transfers Fuc in alpha1,2 linkage to Gal specifically on type-1 chains. The discovery of alpha-fucosyltransferases in C. elegans opens the possibility of using this well-characterized nematode as a model system for studying the role of fucosylated glycans in the development and survival of C.elegans and possibly other helminths.      

Evolutionary relationships of human populations on a global scale

Using gene frequency data for 29 polymorphic loci (121 alleles), we conducted a phylogenetic analysis of 26 representative populations from around the world by using the neighbor-joining (NJ) method. We also conducted a separate analysis of 15 populations by using data for 33 polymorphic loci. These analyses have shown that the first major split of the phylogenetic tree separates Africans from non-Africans and that this split occurs with a 100% bootstrap probability. The second split separates Caucasian populations from all other non-African populations, and this split is also supported by bootstrap tests. The third major split occurs between Native American populations and the Greater Asians that include East Asians (mongoloids), Pacific Islanders, and Australopapuans (native Australians and Papua New Guineans), but Australopapuans are genetically quite different from the rest of the Greater Asians. The second and third levels of population splitting are quite different from those of the phylogenetic tree obtained by Cavalli- Sforza et al. (1988), where Caucasians, Northeast Asians, and Ameridians from the Northeurasian supercluster and the rest of non- Africans form the Southeast Asian supercluster. One of the major factors that caused the difference between the two trees is that Cavalli-Sforza et al. used unweighted pair-group method with arithmetic mean (UPGMA) in phylogenetic inference, whereas we used the NJ method in which evolutionary rate is allowed to vary among different populations. Bootstrap tests have shown that the UPGMA tree receives poor statistical support whereas the NJ tree is well supported. Implications that the phylogenetic tree obtained has on the current controversy over the out-of-Africa and the multiregional theories of human origins are discussed.      

Nifedipine loaded chitosan microspheres: characterization of internal structure

In the present investigation, a simple technique was employed to obtain cross-sections of unloaded and nifedipine loaded chitosan microspheres. Microspheres, adhering to a polymerized resin block, were cut with an ultramicrotome and viewed with a scanning electron microscope. Unloaded microspheres exhibited a uniform dense matrix structure while crystals of nifedipine were clearly visible in the drug-loaded microspheres. At 2% drug loading, however, no crystals could be seen in the microspheres indicating that either the drug was molecularly dispersed or dissolved in the matrix at this concentration. This was confirmed by powder X-ray diffractometry studies where no peak due to crystalline nifedipine was observed. At high Span 85 concentration (1.5% w/v), the external surface of the microspheres collapsed, but the internal structure remained dense. When the drug was dispersed in the chitosan solution with stirring during preparation, the entrapment was good and the shape of the crystals was changed. The internal structure of the microspheres following dissolution exhibited the presence of pores.     

Antiapoptotic role of S-adenosyl-l-methionine against hydrochloric acid induced cell death in Saccharomyces cerevisiae

Exposure of stationary phase cells of Saccharomyces cerevisiae to 10 mM HCl (pH approximately 2) resulted in cell death as a function of time (up to 6 h) with most (about 40%-65%) of the cells showing apoptotic features including chromatin condensation along the nuclear envelope, exposure of phosphatidylserine on the outer leaflet of cytoplasmic membrane, and DNA fragmentation. During the first 2 h of acid exposure there was an increase in reactive oxygen species (ROS) level inside cells, with subsequent elevation in the level of lipid peroxidation and decrease in reducing equivalents culminating in loss of mitochondrial membrane potential (DeltaPsi(m)). An initial (1 h) event of mitochondrial hyper-polarization with subsequent elevation of ROS level of the acid treated cells was also observed. S-adenosyl-l-methionine (AdoMet; 1 mM) treatment increased the cell survival of the acid stressed cells. It partially scavenged the increased intracellular ROS level by supplementing glutathione through the transsulfuration pathway. It also inhibited acid mediated lipid peroxidation, partially recovered acid evoked loss of DeltaPsi(m) and protected the cells from apoptotic cell death. S-adenosyl di-aldehyde, an indirect inhibitor of the AdoMet metabolic pathway, increased mortality of the acid treated cells. Incubation of acid stressed cells with the antioxidant, N-acetyl-cysteine (1 mM), decreased the cellular mortality, but the same concentration of AdoMet offered more protection by scavenging the free radicals. The ability of AdoMet to scavenge ROS mediated apoptosis may be an important function of this molecule in responding to cellular stress. The study could open a new avenue for detailed investigation on the curative potential of AdoMet against gastric ulcer.     

Protective role of S-adenosyl-l-methionine against hydrochloric acid stress in Saccharomyces cerevisiae

S-adenosyl-l-methionine (AdoMet, 1 mM) protects the stationary phase cells of Saccharomyces cerevisiae against the killing effect of acid (10 mM HCl, pH ∼ 2). Both the acid and the acid plus AdoMet treatment for 2 h increased the plasma membrane H⁺-ATPase activity; thereafter it decreased to the basal level. AdoMet partially recovered the intracellular pH (pH_in) that dropped in presence of acid. AdoMet treatment facilitated acid induced phospholipid biosynthesis as well as membrane proliferation, which was reflected in the cellular lipid composition.     

Mucin secretion by the human colon cell line LS174T is regulated by bile salts

We recently reported that bile salts play a role in the regulation of mucin secretion by cultured dog gallbladder epithelial cells. In this study we have examined whether bile salts also influence mucin secretion by the human epithelial colon cell line LS174T. Solutions of bile salts were applied to monolayers of LS174T cells. Mucin secretion was quantified by measuring the secretion of [3H]GlcNAc labeled glycoproteins. Both unconjugated bile salts as well as taurine conjugated bile salts stimulated mucin secretion by the colon cells in a dose-dependent fashion. Hydrophobic bile salts were more potent stimulators than hydrophilic bile salts. Free (unconjugated) bile salts were more stimulatory compared with their taurine conjugated counterparts. Stimulation of mucin secretion by LS174T cells was found to occur at much lower bile salt concentrations than in the experiments with the dog gallbladder epithelial cells. The protein kinase C activators PMA and PDB had no stimulatory effect on mucin secretion. We conclude that mucin secretion by the human colon epithelial cell line LS174T is regulated by bile salts. We suggest that regulation of mucin secretion by bile salts might be a common mechanism, by which different epithelia protect themselves against the detergent action of bile salts, to which they are exposed throughout the gastrointestinal tract.      

Modeling the interactions of Lactobacillus curvatus colonies in solid medium: consequences for food quality and safety

The growth process of Lactobacillus curvatus colonies was quantified by a coupled growth and diffusion equation incorporating a volumetric rate of lactic acid production. Analytical solutions were compared to numerical ones, and both were able to predict the onset of interaction well. The derived analytical solution modeled the lactic acid concentration profile as a function of the diffusion coefficient, colony radius, and volumetric production rate. Interaction was assumed to occur when the volume-averaged specific growth rate of the cells in a colony was 90% of the initial maximum rate. Growth of L. curvatus in solid medium is dependent on the number of cells in a colony. In colonies with populations of fewer than 10(5) cells, mass transfer limitation is not significant for the growth process. When the initial inoculation density is relatively high, colonies are not able to grow to these sizes and growth approaches that of broth cultures (negligible mass transfer limitation). In foods, which resemble the model solid system and in which the initial inoculation density is high, it will be appropriate to use predictive models of broth cultures to estimate growth. For a very low initial inoculation density, large colonies can develop that will start to deviate from growth in broth cultures, but only after large outgrowth.