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TRAINEE - World Health Organization

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86<br />

<strong>TRAINEE</strong>S Chapter 4 • GLP Training Manual<br />

Awareness of such “circumstances” depends largely on knowledge of the animals’<br />

physiological and behavioural needs, the programme defined in SOPs and, of course,<br />

the training of technical, quality assurance and scientific staff. The diversity of factors<br />

that may interfere with a study is such that only major variables can be covered here.<br />

There is, however, substantial and helpful literature on this subject.<br />

Once SOPs are defined and approved for each situation (length and type of study,<br />

species), data are collected and evaluated regularly by the professional staff. Variations<br />

to the defined norm or alarming and unforeseen circumstances are documented and<br />

evaluated for corrective action and for any possible effect on the study and consequent<br />

consideration in the final report.<br />

In general, each variable is evaluated regarding:<br />

– Source<br />

Examples: Temperature/humidity is often related to the HVAC system and the<br />

presence and efficiency of a back-up generator. Bedding contaminants are usually<br />

related to the manufacturer’s source of raw material. Soap or detergent residue<br />

contamination depends on the rinsing efficacy of the cage washer. Air quality may<br />

depend on the proximity of intakes to laboratory hood exhausts.<br />

– Risk<br />

Example: Barrier procedures against incoming microbiological contamination are<br />

more important for lifetime studies than for acute studies. Bedding/litter characteristics<br />

and noise can be critical for teratology or blood pressure studies – less so<br />

for other types. Light timer failure can be more critical for albino strains than for<br />

others. Water quality concerns can be much greater with automatic watering systems<br />

than with bottles.<br />

We can see that much of our risk evaluation is study, species or project specific<br />

for example, feed characteristics (particle size) can affect diet-admix quality. Basal<br />

dietary vitamin A level may be critical in retinoid testing but not for other families<br />

of test molecules. Likewise, bedding characteristics can affect studies in many<br />

different ways because of the physical and chemical characteristics.<br />

– Monitoring<br />

Example: Cage rinse analyses, certificates of analysis for feed, water and bedding,<br />

environmental chart recorders, manometers, air turnover measurement, insect<br />

pheromone traps, etc.

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