A dietary conjugated linoleic acid treatment that slows renal disease progression alters renal cyclooxygenase-2-derived prostanoids in the Han: SPRD-cy rat

A mixture of dietary conjugated linoleic acid (CLA) isomers reduces inflammation and mitigates disease progression in the Han:SPRD-cy rat model of chronic kidney disease. Since cyclooxygenase (COX) activities and prostanoid levels are higher in diseased kidneys in this rat, and dietary CLA can inhibit COX2 and prostanoid production in other tissues, the effects of dietary CLA were investigated. Kidney homogenates from normal and diseased Han:SPRD-cy rats were analyzed for prostanoid levels under various conditions: endogenous levels, steady-state levels (60-min incubations) and produced by COX isoforms. Thromboxane B(2) (TXB(2); TXA(2) metabolite), 6-keto-prostaglandin F(1α) (6-keto-PGF(1α); PGI(2) metabolite) and PGE(2) levels under these conditions were two- to ninefold higher in diseased kidneys. Dietary CLA resulted in ～32%-53% lower levels of prostanoids produced by total COX and COX2 activities in normal and diseased kidneys and partially mitigated alterations in COX2 protein levels associated with disease. The COX1 protein and activity were higher in renal disease, resulting in increased production of TXB(2) and 6-ketoPGF(1α), but not PGE(2). Dietary CLA had no effect on COX1, however. Disease resulted in up to twofold higher ratios of TXB(2)/6-ketoPGF(1α), TXB(2)/PGE(2) and 6-ketoPGF(1α) /PGE(2), and dietary CLA partially mitigated these increases under several conditions. Elevated levels of renal membrane associated cytosolic phospholipase A(2) in diseased kidneys also were reduced by 50% with CLA feeding. The effects of CLA feeding on COX2 protein levels and activity indicate that the beneficial effect of dietary CLA in this renal disorder is mediated in part via effects on COX2-derived prostanoids.     

Role for autocrine TGF-β1 in regulating differentiation of a human leukemic cell line toward osteoclast-like cells

Increasing evidence suggests that transforming growth factor-β (TGF-β) is involved in bone formation during remodeling. Using a recently cloned human leukemic cell line (FLG 29.1 cells) we demonstrate that these cells synthesize and secrete TGF-β1 and that exogenous or autocrine TGF-β1 can induce the same features of osteoclastic-like cells, exerting its effects through the binding to TGF-β specific receptors. Scatchard analysis of ¹²⁵I-labeled TGF-β1 to FLG 29.1 cells revealed the presence of a single high affinity binding site with a Kd value of ～25 pM and a binding capacity of ～900 sites/cell. Affinity labeling experiments showed that FLG 29.1 cells express type I and type II TGF-β receptors. Stimulation of FLG 29.1 cells with low TGF-β1 doses reduced cell proliferation and increased cell adhesion and tartrate resistant acid phosphatase (TRAcP) activity. Pretreatment of FLG 29.1 cells with TGF-β1 caused a significant and dose-dependent response to calcitonin. Northern blot of total mRNA and analysis of the conditioned media (CM) showed that TGF-β1 was synthesized by FLG 29.1 cells. TPA treatment, which induces partial differentiation of these cells, markedly increased TGF-β1 mRNA expression and growth factor release. The majority of TGF-β1 secreted by TPA-treated cells was in its latent form. However, anti-TGF-β antibodies inhibited TGF-β1 and TPA-induced growth inhibition, calcitonin responsiveness, and TRAcP activity, suggesting that the TPA effect is mediated in part by autocrine TGF-β1 and indicating that the cells can activate and respond to the TGF-β that they secrete. These findings support a potential autocrine role for TGF-β1 in osteoclast differentiation. © 1994 Wiley-Liss, Inc.     

Mesodern-inducing factors and mesodermal patterning

Identification of the signalling molecules involved in mesoderm formation in amphibian embryos still presents problems. None of the original candidates, such as activin, have been definitively ruled out, and the new factors, such as the nodal-related genes, have come on to the scene. Of the original candidates, activin has been definitively shown to act as a morphogen, whereas bone morphogenetic protein (BMP)-4 has emerged as a ventral inducer and an inhibitor of neural differentiation. The effects of BMP-4 are antagonized by chordin, a molecule related to the product of the Drosophila gene short gastrulation.     

Cell surface protease PRT1 identified in the fungal pathogen Pneumocystis carinii

The subtelomeric regions of the chromosomes of many organisms contain gene families that allow adaptation to a changing environment. In a number of parasites, these subtelomeric gene families encode cell surface proteins that undergo antigenic variation. Proteases are another important virulence determinant in pathogenic microorganisms. We report the localization of the PRT1 protease of the pathogenic fungus Pneumocystis carinii sp. f. carinii, encoded by a subtelomeric gene family, to the cell surface of both the trophozoite and the cyst phase of the organism. Using anti-PRT1 antiserum, we demonstrated specificity to P. carinii sp. f. carinii in sections of infected rat lungs and, using immunofluorescence, we showed that the PRT1 protease has the characteristic distribution of a surface protein. The anti-PRT1 antiserum showed cross-reactivity with a number of P. carinii sp. f. carinii proteins migrating between 185 kDa and 28 kDa, the majority migrating between 42 kDa and 52 kDa, a region that has been shown by serological studies to contain important immunodominant P. carinii proteins. Cross-reactivity was also observed with P. carinii sp. f. hominis proteins. We have also cloned a portion of the catalytic domain of PRT1 from P. carinii sp. f. hominis, P. carinii sp. f. muris and P. carinii sp. f. rattus. Our data suggest that the PRT1 protease plays an important role in the pathogenicity of P. carinii.     

Equivalence of multibreed animal models and hierarchical Bayes analysis for maternally influenced traits

Background

It has been argued that multibreed animal models should include a heterogeneous covariance structure. However, the estimation of the (co)variance components is not an easy task, because these parameters can not be factored out from the inverse of the additive genetic covariance matrix. An alternative model, based on the decomposition of the genetic covariance matrix by source of variability, provides a much simpler formulation. In this study, we formalize the equivalence between this alternative model and the one derived from the quantitative genetic theory. Further, we extend the model to include maternal effects and, in order to estimate the (co)variance components, we describe a hierarchical Bayes implementation. Finally, we implement the model to weaning weight data from an Angus × Hereford crossbred experiment.

Methods

Our argument is based on redefining the vectors of breeding values by breed origin such that they do not include individuals with null contributions. Next, we define matrices that retrieve the null-row and the null-column pattern and, by means of appropriate algebraic operations, we demonstrate the equivalence. The extension to include maternal effects and the estimation of the (co)variance components through the hierarchical Bayes analysis are then straightforward. A FORTRAN 90 Gibbs sampler was specifically programmed and executed to estimate the (co)variance components of the Angus × Hereford population.

Results

In general, genetic (co)variance components showed marginal posterior densities with a high degree of symmetry, except for the segregation components. Angus and Hereford breeds contributed with 50.26% and 41.73% of the total direct additive variance, and with 23.59% and 59.65% of the total maternal additive variance. In turn, the contribution of the segregation variance was not significant in either case, which suggests that the allelic frequencies in the two parental breeds were similar.

Conclusion

The multibreed maternal animal model introduced in this study simplifies the problem of estimating (co)variance components in the framework of a hierarchical Bayes analysis. Using this approach, we obtained for the first time estimates of the full set of genetic (co)variance components. It would be interesting to assess the performance of the procedure with field data, especially when interbreed information is limited.