A human liver microphysiology platform for investigating physiology,drug safety,and disease models

This paper describes the development and characterization of a microphysiology platform for drug safety and efficacy in liver models of disease that includes a human, 3D, microfluidic, four-cell, sequentially layered, self-assembly liver model (SQL-SAL); fluorescent protein biosensors for mechanistic readouts; as well as a microphysiology system database (MPS-Db) to manage, analyze, and model data. The goal of our approach is to create the simplest design in terms of cells, matrix materials, and microfluidic device parameters that will support a physiologically relevant liver model that is robust and reproducible for at least 28 days for stand-alone liver studies and microfluidic integration with other organs-on-chips. The current SQL-SAL uses primary human hepatocytes along with human endothelial (EA.hy926), immune (U937) and stellate (LX-2) cells in physiological ratios and is viable for at least 28 days under continuous flow. Approximately, 20% of primary hepatocytes and/or stellate cells contain fluorescent protein biosensors (called sentinel cells) to measure apoptosis, reactive oxygen species (ROS) and/or cell location by high content analysis (HCA). In addition, drugs, drug metabolites, albumin, urea and lactate dehydrogenase (LDH) are monitored in the efflux media. Exposure to 180 μM troglitazone or 210 μM nimesulide produced acute toxicity within 2–4 days, whereas 28 μM troglitazone produced a gradual and much delayed toxic response over 21 days, concordant with known mechanisms of toxicity, while 600 µM caffeine had no effect. Immune-mediated toxicity was demonstrated with trovafloxacin with lipopolysaccharide (LPS), but not levofloxacin with LPS. The SQL-SAL exhibited early fibrotic activation in response to 30 nM methotrexate, indicated by increased stellate cell migration, expression of alpha-smooth muscle actin and collagen, type 1, alpha 2. Data collected from the in vitro model can be integrated into a database with access to related chemical, bioactivity, preclinical and clinical information uploaded from external databases for constructing predictive models.     

Biochemical characterization of murine leukaemia inhibitory factor produced by Krebs ascites and by yeast cells

A cDNA library was constructed using mRNA from Krebs ascites tumor cells that was shown by Northern blot hybridization to contain mRNA for murine leukemia inhibitory factor (LIF). This library was screened with an oligonucleotide corresponding to the 3' end of a partial LIF cDNA clone, and an overlapping cDNA clone isolated. Nucleotide sequence analysis of this latter clone allowed the complete sequence of LIF to be derived. A cDNA molecule encoding the entire mature LIF protein was installed in a yeast expression vector, and LIF produced up to about 100 ng/ml in the growth medium. The LIF produced by yeast cells has the same biologic properties as native LIF and competes with native 125I-LIF for binding to specific cellular receptors. Two forms of native LIF, distinguishable by their chromatographic behavior on DEAE-Sepharose, were converted by neuraminidase treatment to a form with similar chromatographic behavior, suggesting that the major difference between these two species is the content of sialic acid on the carbohydrate portion. Moreover, yeast-derived recombinant LIF appears to display a different pattern of glycosylation to both forms of native LIF. From in vitro experiments, we conclude that the nature of the glycosylation is not crucial to biologic activity.     

On the removal and quantification of algal aufwuchs from macrophyte hosts

Accurate population density measurements of algal aufwuchs associated with macrophyte hosts appears to be fraught with uncertainties. This account details a procedure involving aufwuchs removal by agitation and acid hydrolysis with subsequent quantification by a special Sedgwick-Rafter cell counting technique. The aufwuchs removal efficiency from five hosts of widely differing morphology was calculated to be 98.0% (95% confidence limits: 96.3%, 99.7%) after five 45 second agitation cycles.     

Sequence diversity among related genes for recognition of specific targets in DNA molecules

Escherichia coli strains K12 and B, and a new strain designated D, each encode a characteristic restriction and modification enzyme. These enzymes (EcoK, EcoB and presumably EcoD) comprise three subunits of which one, that encoded by the so-called specificity gene (hsdS), is responsible for recognition of the DNA sequence specific to that system. The other two subunits, encoded by hsdR and hsdM, are interchangeable between systems, and the available molecular evidence suggests that the hsdR and hsdM genes are highly conserved. The DNA sequence of a segment of the hsd region that includes the hsdS gene has been determined for each of the three strains. The hsdS gene varies in length from 1335 to 1425 base-pairs and the only regions showing obvious homology, one of about 100 base-pairs and a second of about 250 base-pairs, are highly conserved. The remainder of each hsd S gene shares little, or no, homology with either of the other related specificity genes. Thus, the specificity subunits, though components of a family of closely related enzymes with very similar functions, have remarkably dissimilar primary structure.     

Correlation between clinical and autopsy diagnoses in a community hospital

Forty-six consecutive autopsies performed in 1 year on patients who died in a 120-bed urban community hospital were analysed with respect to clinical-pathological correlation. The mean age of the patients was 71 years. Errors in clinical diagnosis were assigned to one of four classes: class I, a missed major diagnosis, the detection of which before death would probably have changed management and resulted in longer survival or possible cure; class II, a major missed diagnosis that, if detected before death, would probably not have altered management; and classes III and IV, minor missed diagnoses. Six (13%) class I and 10 (22%) class II errors were found, as well as a number of class III and IV errors. Suggestions are made regarding the use of such data in audit procedures.