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Results for “Biomarker testing”

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At least 847 records · Page 47Linked to original sources
PubMed2005

Possible mechanisms behind the differential effects of soy protein and casein feedings on colon cancer biomarkers in the rat.

In the present studies, several hypotheses were tested to explain previously reported differential effects of soy and casein on colon cancer biomarkers like cell proliferation, fecal fat, fecal bile acid, alkaline phosphatase, and magnesium excretion in rats. In Study 1, the effect of methionine, a limiting amino acid in soy protein and an amino acid that is thought to have a marked effect on colonic cell proliferation, was tested. It was concluded that methionine up to 1% in the diet had no effect on cell proliferation, using the 3H-thymidine assay. The same study revealed that fecal alkaline phosphatase excretion is a good marker for colonic epithelial damage and fecal magnesium excretion is not. In Study 2, the hypothesis was tested that soy fractions enriched with isoflavones and saponins may increase fat excretion and so influence colonic cell proliferation in rats. It was indeed shown that soy protein isolate and an ethanolic extract from soy protein isolate slightly increased fecal fat excretion (up to 1.7-fold). However, fecal water bile acid and free fatty acid concentrations were decreased after feeding soy protein-based diets compared with casein, and no difference in fecal alkaline phosphatase excretion was observed. In Study 3, the lytic potential of soy saponins and the interaction between saponins and some lytic bile acids were tested in vitro. Data suggest a protective effect from soy saponins by reducing lytic activity of cholic acid. The overall conclusion is that soy protein compared with casein influences several colon cancer risk parameters, indicating a more protective rather than a stimulating effect on colon cancer risk.

Alkaline Phosphatase↗
PubMed1990

A field trial to determine the feasibility of delivering oral vaccines to wild swine.

A field study was conducted on Ossabaw Island, Georgia (USA) to determine the feasibility of delivering oral vaccines to wild swine (Sus scrofa). Baits were made of polymerbound fish meal and contained a gelatin capsule as a potential vaccine chamber. Two biomarkers, iophenoxic acid and tetracycline, were incorporated into each bait, and soured chicken mash was used as an attractant. Baits (n = 1,980) were distributed in a grid pattern on a 405-ha test site and monitored for animal disturbance. Within 72 hr, 88% of 393 monitored baits were gone, and observations of track-beds surrounding 100 baits indicated that at least 52% were taken by wild swine. Subsequent testing of 80 wild swine for the biomarkers revealed that 95% of the animals had consumed bait. Track-bed observations indicated that raccoons (Procyon lotor) were the only non-target animal that frequently took baits. Biomarker analyses indicated 44% of 16 raccoons tested had eaten bait. It was concluded that oral vaccine delivery to wild swine should be considered as a feasible method of control or eradication of pseudorabies and/or swine brucellosis in wild swine if effective vaccines become available.

Administration, Oral↗
PubMed2003

Oxyfluorfen toxic effect on S. obliquus evaluated by different photosynthetic and enzymatic biomarkers.

The effect of oxyfluorfen was investigated when alga Scenedesmus obliquus has been exposed to different concentrations (7.5, 15, and 22.5 microg x L(-1)) at 12, 24, and 48 hours of exposure. Toxicity test was done by using 13 biomarkers concerning growth rate, chlorophyll content and indicators of photosynthetic and antioxidant enzyme activities. The change of the 13 parameters showed a great variation of sensitivity indicating differences in parameters' suitability to be used as biomarkers when alga culture was exposed to oxyfluorfen toxicity. The order of sensitivity between those biomarkers was: Antenna size (ABS/RC) > Chlorophyll content > Catalase (CAT) > Operational PSII quantum yield (phiS(PSII)) > Glutathione S-transferase (GST) > Functional plastoquinone pool (Q(PQ)) > Glutathione reductase (GR) > Growth rate > Nonphotochemical quenching (QN) > Proton gradient quenching (Q(Emax)) > Ascorbate peroxidase (APX) > Photochemical quenching (Q(p)) > Maximum PSII quantum yield (Phi(PSII)). The effect of oxyfluorfen on the changes of those parameters was interpreted as a result of herbicide mode of action at molecular level of alga cellular system. This study indicated for some photosynthetic and enzymatic biomarkers to be useful indicators of toxicity effect induced in non-target alga species. Determination of biomarkers' sensitivity order may facilitate their selection to be used in environmental risk assessment of polluted water.

Biomarkers↗
PubMed2006

Chronic aquatic environmental risks from exposure to human pharmaceuticals.

This paper reviews current information on the chronic aquatic toxicity of human pharmaceuticals and how it should be measured. Chronic toxicity tests with Cyanobacteria are likely to be sensitive surrogates for both algae and other unicellular organisms, although possibly not for higher plants. In contrast, there is little evidence of a general need to perform chronic aquatic invertebrate tests for all human pharmaceuticals, although further acute-to-chronic ratio data are required for the main therapeutic classes and modes of action of pharmaceuticals before this issue can be fully resolved. Chronic fish tests may be necessary for some substances, but it is likely that these can be focused more accurately through use of information in mammalian toxicity datasets. For some substances and modes of action, life-cycle or partial life-cycle fish tests may be more relevant than reliance on early life-stage (ELS) tests, because the ELS test is unlikely to respond adequately to all pharmaceutical modes of action. Biomarkers may be useful in focusing research and testing efforts by identifying active substances and receptors of interest in aquatic species, and they may also be useful in field surveys for helping to establish possible cause and effect relationships. QSARs have been used by several authors to predict acute toxic effects, but predictions of chronic effects are currently hampered by the paucity of available chronic data to build predictive models. There seems to be no obvious reason why mixtures of pharmaceuticals in the environment should be treated in a different way to mixtures of other potentially hazardous substances. If mixture toxicity is considered to be an important environmental issue then all substances should be considered within an appropriate risk assessment framework.

Animals↗