Poult. Sci.
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Poult Sci 2008. 87:2175-2177. doi:10.3382/ps.2008-11-2175
© 2008 Poultry Science Association
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EDITORIAL

Perspectives on Analytical Techniques and Standardization

C. G. Scanes, Editor-in-Chief

One of the pleasures of being editor-in-chief is that I read every paper published in the journal. From time to time, issues of concern arise and today I am addressing several. The essential principles throughout science require that experiments have a sound theoretical basis, be well designed to test a hypothesis, be analyzed using appropriate statistics, and be repeatable. A corollary to the latter point is that data should be comparable from study to study and from laboratory to laboratory. This allows for meta- and holo-analyses. One of the chemical analyses that would appear to be trivial yet fundamental is determination of blood, plasma, and serum glucose. Where are we as a discipline in such a simple determination as that of glucose?

The concentration of glucose in chickens is reported as the range 190 to 220 mg/dL (reviewed by Hazelwood, 1986). Chickens are very hyperglycemic and insulin-resistant compared with mammals. This situation applies to turkeys but less to ducks and geese. However, there is considerable variation in the steady-state circulating glucose concentration in recent reports even for similarly aged fed chickens (average in 15 studies = 234 ± 11.8 (SEM) mg/dL, ranging between 156 and 330 mg/dL in young meat lines; see Table 1Go). Between studies, there is no obvious effect of age or method determination of glucose but the magnitude of the variation is of concern. The intraassay variation is presumed to be small based on the low coefficient of variation between samples from different birds reported at the same time point. Obviously, interassay and interlaboratory variation may be high or there may be an underlying but undiscovered biological basis. Perhaps there should be a requirement by journals for authors to provide data on intra- and interassay variance using a chicken plasma/serum pool. This is particularly pertinent when using clinical laboratory services for chemical analysis. Moreover, it might be questioned if should be an international "standard" for chicken glucose determination and for other metabolites and hormones. This standard could be a pool of chicken plasma available to all investigators commercially or through a cooperative program between investigators. This would combat the lack of standardization of techniques and be a service to the industry, and particularly pathology laboratories.


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Table 1. Variation in basal blood (plasma or serum) glucose concentration in chickens in recent reports
 
There seems to be little theoretical basis for the variation in basal levels of glucose. It is widely assumed that age and genetics are the basis. Plasma concentrations of glucose have been reported to decline from 6 wk of age to 9 or 14 wk of age in specific populations of chickens selected for either high growth or low growth lines (mean 6 wk: 242 mg/dL; 9 wk: 183 mg/dL; 14 wk: 163 mg/dL; Sinsigalli et al., 1987). There is also evidence for genetic differences. Given that chickens maintain tight homeostatic control of blood glucose, it would be predicted that circulating concentrations should remain relatively consistent irrespective of age and genetics. There are multiple homeostatic mechanisms to ensure that circulating concentrations of glucose remain relatively constant as is demonstrated by the evidence below.

The literature suggests that starvation has relatively little effect on circulating concentrations of glucose. In earlier studies, not using modern meat-type chickens, starvation did not affect circulating concentrations of glucose in some studies (Hazelwood and Lorenz, 1959; Belo et al., 1976; Tinker et al., 1986) but did in others (Harvey et al., 1978). However, there are consistently decreases, albeit relatively small, in circulating concentrations of glucose following short-term starvation reported for meat-type birds (e.g., Edwards et al., 1999; Buyse et al., 2002; Nijdam et al., 2006).

These data again show a lack of clear consistency. This editorial attempts to challenge investigators as to what can and should be done to address this and related issues.


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