Use of ion characteristics to predict relative toxicity of mono-, di- and trivalent metal ions: Caenorhabditis elegans LC50

Tatara, Christopher P.; Newman, Michael C.; McCloskey, John T.; Williams, Phillip L.

doi:10.1016/s0166-445x(97)00104-5

Cited by 98 publications

(68 citation statements)

References 41 publications

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“…Methodologies to enhance RNAi proficiency, particularly in neurons, were further created [282][283][284][285]. RNAi can be activated by infusion of worms with meddling twofold strand RNA (dsRNA), by nourishing them with transgenic microscopic organisms creating the dsRNA or by absorbing them an answer of dsRNA.…”

Section: Endpoint Assay Principle Referencesmentioning

confidence: 99%

Discovering Capacity in Novel Targets: C. Elegans as a Model Life Form in Toxicological Research

Ac¹,

Costa²,

Tec³

et al. 2017

J Clinic Toxicol

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The nematode Caenorhabditis elegans has risen as a critical creature show in different fields including neurobiology, formative science, and hereditary qualities. Qualities of this creature demonstrate that have added to its prosperity incorporate its hereditary manipulability, invariant and completely depicted formative program, all around portrayed genome, simplicity of support, short and productive life cycle, and little body estimate. These same elements have prompted to an expanding utilization of C. elegans in toxicology, both for robotic reviews and highthroughput screening approaches. We depict a portion of the exploration that has been completed in the territories of neurotoxicology, hereditary toxicology, and ecological toxicology, and additionally high-throughput tries different things with C. elegans including all inclusive screening for sub-atomic focuses of harmfulness and fast danger evaluation for new chemicals. We contend for an expanded part for C. elegans in supplementing other model frameworks in toxicological research.

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Section: Endpoint Assay Principle Referencesmentioning

confidence: 99%

Discovering Capacity in Novel Targets: C. Elegans as a Model Life Form in Toxicological Research

Ac¹,

Costa²,

Tec³

et al. 2017

J Clinic Toxicol

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“…For example, many signal transduction pathways involved in general stress responses are well conserved (National Research Council, 2000). Several studies have also demonstrated the predictive potential of C. elegans lethality and changes in locomotion for mammalian toxicity (Cole et al 2004;Tatara et al 1998). With advances in technology, the assessment of phenotypes of thousands of nematodes can now be quantified in a high-throughput fashion, rather than by direct observation of only a few organisms.…”

Section: Toxicological Studies Of Environmental Agents Using C Elegamentioning

confidence: 99%

Use of non-mammalian alternative models for neurotoxicological study

et al. 2008

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The field of neurotoxicology needs to satisfy two opposing demands: the testing of a growing list of chemicals, and resource limitations and ethical concerns associated with testing using traditional mammalian species. National and international government agencies have defined a need to reduce, refine or replace mammalian species in toxicological testing with alternative testing methods and non-mammalian models. Toxicological assays using alternative animal models may relieve some of this pressure by allowing testing of more compounds while reducing expense and using fewer mammals. Recent advances in genetic technologies and the strong conservation between human and non-mammalian genomes allows for the dissection of the molecular pathways involved in neurotoxicological responses and neurological diseases using genetically tractable organisms. In this review, applications of four non-mammalian species, Zebrafish, cockroach, Drosophila, and Caenorhabditis elegans, in the investigation of neurotoxicology and neurological diseases are presented.

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“…The covalent (X 2 m r) and softness (s p ) indexes give an indication of the metal cation binding tendency to soft ligands (e.g., the preference to bind to sulfur donor atoms) [14]. Additionally, the s p value separates metal ions into three groups based on their softness: hard ions, which prefer to bind to either oxygen or nitrogen, -OH, -COOH, -PO 2À 4 , -O-, NH 3 , -NH 2 , ¼NH (e.g., Li(I), Na(I), K(I), Cs(I), Ca(II), Mg(II), Sr(II), Ba(II), Fe(III), and Al(III)); soft ions, which prefer to bind to sulfur, -SH, -S-, and ¼S, (e.g., Hg(I), Cu(I), Ag(I), Cd(II), and Pt(II)); and borderline ions, which form complexes with oxygen, nitrogen, and sulfur (e.g., Co(II), Fe(II), Ni(II), Cu(II), Zn(II), and Pb(II)).…”

Section: Introductionmentioning

confidence: 99%

“…The metal cation toxicity is inferred from the decrease of BL intensity caused by mycelium surface exposure to the solution of essential and nonessential metal cation solutions. Although QICARs studies have been successfully used to predict the toxicity of metals to bacteria [7,22], nematodes [14,24], and many other terrestrial and aquatic organisms [2], to the best of our knowledge no QICAR study exists based on toxicological data obtained from basidiomycete fungi. Therefore, we describe here the use of QICAR to correlate metal ionic properties with acute metal toxicity to the bioluminescent basidiomycete fungus G. viridilucens as well as to predict toxic effects of untested metals.…”

Section: Introductionmentioning

confidence: 99%

Prediction of metal cation toxicity to the bioluminescent fungus Gerronema viridilucens

Mendes

Bastos

Stevani

2010

Enviro Toxic and Chemistry

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A correlation between the physicochemical properties of mono- [Li(I), K(I), Na(I)] and divalent [Cd(II), Cu(II), Mn(II), Ni(II), Co(II), Zn(II), Mg(II), Ca(II)] metal cations and their toxicity (evaluated by the free ion median effective concentration, EC50(F)) to the naturally bioluminescent fungus Gerronema viridilucens has been studied using the quantitative ion character-activity relationship (QICAR) approach. Among the 11 ionic parameters used in the current study, a univariate model based on the covalent index (X(2) (m)r) proved to be the most adequate for prediction of fungal metal toxicity evaluated by the logarithm of free ion median effective concentration (log EC50(F)): log EC50(F) = 4.243 (± 0.243) -1.268 (± 0.125)· X(2) (m)r (adj-R(2) = 0.9113, Alkaike information criterion [AIC] = -60.42). Additional two- and three-variable models were also tested and proved less suitable to fit the experimental data. These results indicate that covalent bonding is a good indicator of metal inherent toxicity to bioluminescent fungi. Furthermore, the toxicity of additional metal ions [Ag(I), Cs(I), Sr(II), Ba(II), Fe(II), Hg(II), and Pb(II)] to G. viridilucens was predicted, and Pb was found to be the most toxic metal to this bioluminescent fungus (EC50(F)): Pb(II) > Ag(I) > Hg(I) > Cd(II) > Cu(II) > Co(II) ≈ Ni(II) > Mn(II) > Fe(II) ≈ Zn(II) > Mg(II) ≈ Ba(II) ≈ Cs(I) > Li(I) > K(I) ≈ Na(I) ≈ Sr(II)> Ca(II).

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Use of ion characteristics to predict relative toxicity of mono-, di- and trivalent metal ions: Caenorhabditis elegans LC50

Cited by 98 publications

References 41 publications

Discovering Capacity in Novel Targets: C. Elegans as a Model Life Form in Toxicological Research

Discovering Capacity in Novel Targets: C. Elegans as a Model Life Form in Toxicological Research

Use of non-mammalian alternative models for neurotoxicological study

Prediction of metal cation toxicity to the bioluminescent fungus Gerronema viridilucens

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