ABSTRACT
Background: The inability to evaluate host immunity in a rapid quantitative manner in patients with sepsis has severely hampered development of novel immune therapies. The ELISpot assay is a functional bioassay that measures the number of cytokine-secreting cells and the relative amount of cytokine produced at the single-cell level. A key advantage of ELISpot is its excellent dynamic range enabling a more precise quantifiable assessment of host immunity. Herein, we tested the hypothesis on whether the ELISpot assay can detect dynamic changes in both innate and adaptive immunity as they often occur during sepsis. We also tested whether ELISpot could detect the effect of immune drug therapies to modulate innate and adaptive immunity. Methods: Mice were made septic using sublethal cecal ligation and puncture (CLP). Blood and spleens were harvested serially and ex vivo IFN-γ and TNF-α production were compared by ELISpot and ELISA. The capability of ELISpot to detect changes in innate and adaptive immunity due to in vivo immune therapy with dexamethasone, IL-7, and arginine was also evaluated. Results: ELISpot confirmed a decreased innate and adaptive immunity responsiveness during sepsis progression. More importantly, ELISpot was also able to detect changes in adaptive and innate immunity in response to immune-modulatory reagents, for example dexamethasone, arginine, and IL-7 in a readily quantifiable manner, as predicted by the reagents known mechanisms of action. ELISpot and ELISA results tended to parallel one another although some differences were noted. Conclusion: ELISpot offers a unique capability to assess the functional status of both adaptive and innate immunity over time. The results presented herein demonstrate that ELISpot can also be used to detect and follow the in vivo effects of drugs to ameliorate sepsis-induced immune dysfunction. This capability would be a major advance in guiding new immune therapies in sepsis.
ABSTRACT
A 900- to 1100-bp fragment encompassing intron 1 of the nuclear transthyretin (prealbumin) gene was examined in 12 taxa of Old World hystricognath rodents of the families Bathyergidae, Petromuridae, Thryonomyidae, and Hystricidae. Within the Bathyergidae, Heterocephalus glaber (naked mole-rat) was basal, and the other East African species, Heliophobius argenteocinereus (silvery mole-rat), was sister to a southern African clade containing Bathyergus, Cryptomys, and Georychus (dune, common, and cape mole-rats). These results are congruent with studies using mitochondrial 12S rRNA gene sequences. A combined analysis of transthyretin and 12S rRNA data resulted in a well-supported topology with better resolution than either gene analyzed separately. These data support the findings by M. W. Allard and R. L. Honeycutt (1992, Mol. Biol. Evol. 9: 27-40) and R. L. Honeycutt (1992, Am. Sci. 80: 43-53) that complex social systems evolved independently at least twice, in the common and naked mole-rats.
Subject(s)
Introns , Mole Rats/genetics , Phylogeny , Prealbumin/genetics , Africa , Animals , DNA/chemistry , DNA/genetics , DNA, Mitochondrial/chemistry , DNA, Mitochondrial/genetics , Evolution, Molecular , Mole Rats/classification , Molecular Sequence Data , RNA, Ribosomal/genetics , Sequence Analysis, DNAABSTRACT
The Toxic Substances Control Act subjects some 70 000 chemicals to regulatory action. However, empirical testing of the biological activities of this number of compounds is not feasible. An attractive alternative is the development of predictive methodology which can be used to estimate the potency of an untested compound toward a specific biological receptor. Prerequisite to such an enterprise is the highly systematic compilation of dose-response information for a wide range of biological end points and for a wide variety of molecular species. A format is described for abstracting relevant information from published studies. The format outlines the test system, experimental conditions, response analysis, exposure protocol, and results and presents the original data, all in an organized form. Regression analysis is used to estimate thresholds and potencies in the various test systems. The data may then be used to develop a predictive methodology.
