scholarly journals Determination of the lethal dose 50% (LD50) of cadmium chloride and the histopathological changes in male mice liver and kidneys

2012 ◽  
Vol 25 (3) ◽  
pp. 27-38
Author(s):  
Talib Hussen Ali
1981 ◽  
Vol 16 (5) ◽  
pp. 438-442 ◽  
Author(s):  
M. SOVAK ◽  
R. RANGANATHAN ◽  
W. MUTZEL
Keyword(s):  

2015 ◽  
Vol 15 (9) ◽  
pp. 539-544 ◽  
Author(s):  
Woradee Lurchachaiwong ◽  
Wesley McCardle ◽  
Teik-Chye Chan ◽  
Anthony L. Schuster ◽  
Allen L. Richards

2020 ◽  
Author(s):  
Saganuwan Alhaji Saganuwan

Abstract Objective: Lack of ideal mathematical models to qualify and quantify both pathogenicity, and virulence is a dreadful setback in development of new antimicrobials and vaccines against resistance pathogenic microorganisms. Hence, the modified arithmetical formula of Reed and Muench has been integrated with other formulas and used for determination of antigen concentration and parasites inoculums that would kill 50% of test animals (LC50).Results: Microorganisms’ antigens tested are Staphylococcus aureus, Streptococcus pneumonia, Pseudomonas aeruginosa in mice and rat, Edwardsiella ictaluri, Aeromonas hydrophila, Aeromonas veronii in fish, New Castle Disease virus in chicken, Sheep Pox Virus, Foot-and-Mouth Disease Virus and Hepatitis A virus in vitro, respectively. The LC50s for the pathogens using different routes of administrations are 1.93 x 103 (sheep poxvirus) and 1.75 x 1010 for Staphylococcus aureus (ATCC29213) in rat respectively. N is the number of vaccine dose that could neutralize the LC50.Titre index (TI) equals N log10 LC50 and provides protection against lethal dose in graded fashion which translates to protection index. Hence, parasite inoculum of 103 to 1011 could be used as basis for median lethal dose (LD50), LC50 and median bacterial concentrations (BC50) determination, pathogenic dose for immune stimulation should be sought at concentrations less than LC10.


2019 ◽  
Vol 96 (10) ◽  
pp. 970-974
Author(s):  
Nina V. Kharchevnikova ◽  
Z. I. Zholdakova ◽  
V. I. Zhurko ◽  
D. Yu. Fedortsova ◽  
V. G. Blinova

The relationships between the capacity of chemicals to cumulate a toxic effect (functional cumulation) and the structure of their molecules were investigated. In the process of substantiation of safe levels (MAC) of substances in water this capacity is characterized by the cumulation hazard class (later in the text - hazard class). This class is stated to be depend on the value of the relationship between the mean lethal dose of the acute experiment and the threshold dose of the chronic experiment. The experimental study of a huge amount of new chemicals in the chronic experiments is a very difficult task, thus the study of the possibility to predict the hazard class of a chemical is of great scientific and practical interest. By using a logical combinatorial method JSM, named in honor of an English logic J.S. Mill, the structural groups in molecules, determining the appurtenance of these chemicals to a hazard class were identified and the possibility of the prediction of the hazard class of a chemical belonging to a definite structural array, containing such structural group were investigated. The training dataset (583 compounds) was automatically derived from the database WATERTOX, containing the data on acute and chronic toxicity for about 2000 substances. The results suggest the JSM method to be limitedly applicable for the determination of a hazard class of an untested chemical using this heterogeneous training dataset because we were unable to unambiguously derive the list of chemicals belonging to the class of moderately hazard substances. The chemical in some cases was predicted to belong to one or other of the neighboring classes. However taking in mind this uncertainty, the accuracy of the method evaluated, when using the “leave-one-out” method was 78%. Nevertheless the JSM method enables us to find structural subgroups “responsible” for the functional cumulation. The relation of the hazard class of a chemical belonging to a definite structural class with its structure and the possibility of the prediction of an untested chemical hazard class are demonstrated. The prognosis of the hazard classes for chemicals belonging to several structural sets including the anthraquinone derivatives, phthalimides, perfluorated aliphatic compounds, chlorosubstituted phenols, phenylureas is performed.


The determination of toxicity is usually given quantitative expression by the statement of a minimal lethal dose. The common use of this expression in the literature of the subject would logically involve the assumptions that there is a dose, for any given poison, which is only just sufficient to kill all or most of the animals of a given species, and that doses very little smaller would not kill any animals of that species. Any worker, however, accustomed to estimations of toxicity, knows that these assumptions do not represent the truth. How widely different is the real state of affairs, however, is not, I think, sufficiently recognised. The fact that the “ minimal lethal dose,” whether calculated for unit weight, or for surface area, or on any other basis, varies widely for different species has, perhaps, led to the looseness of its definition for any one species. For the accurate standardisation, by biological methods, of drugs which are not available in chemically pure form, it is essential to establish a more accurate definition of such terms as “minimal lethal dose,” “minimal effective dose,” etc. Fig. 1 gives the results of the injection of four poisons into animals. The abscissæ are proportional to the doses injected, the scale obviously differing for the different drugs, and the ordinates give the percentage mortality for each dose injected. The number attached to each observed point represents the number of animals injected for its determination. The curves represent percentage mortalities produced by the subcutaneous injection of tincture of digitalis into frogs, by the intravenous injection of cocaine hydrochloride into mice (see also fig. 2 and Table I), by the intravenous injection of echitamine into mice, and by the injection of dysentery toxin into mice, the data for the last being taken from O’Brien, Sudmersen and Runge (1924). A similar curve is given later (fig. 7) for the percentage of convulsions produced in mice by increasing doses of insulin, the data being obtained by the use of large numbers of animals. Shackell (1925) has published a number of similar curves, relating percentage mortalities to varying doses of different poisons, in a wide range of species. It is suggested that the curve expressing the percentage of mortality, or of some other limiting biological effect, produced by varying doses of a drug on animals of a certain species, shall be called the “ characteristic” for that particular drug, effect and species. Thus, the curve relating the percentage of convulsions produced in mice to varying doses of insulin, would be termed the characteristic for the production of convulsions in mice by insulin.


2018 ◽  
Vol 30 (4-5) ◽  
pp. 195-202 ◽  
Author(s):  
Jillian M. Staugler ◽  
Michael C. Babin ◽  
M. Claire Matthews ◽  
Matthew K. Brittain ◽  
Mark R. Perry

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