Brown, Simon, Cooke, Delwyn, and Blackwell, Leonard (2020) Expressing the quantity of urinary analytes: a discussion of some issues arising from the monitoring of the menstrual cycle. Open Health, 1 (1). pp. 1-20.

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Abstract

Practical domestic monitoring of the menstrual cycle requires measurements of urinary metabolites of reproductive hormones: oestrone glucuronide (E1G) and pregnanediol glucuronide (PdG). Data reported in the literature are expressed as (i) concentration, without or with either creatinine- or specific gravity correction, or (ii) excretion rates. This variation in such a fundamental issue prompts consideration of the relationships between the four measures. Because the menstrual cycle kinetics of E1G and PdG are complex, we consider measurements of urinary creatinine, urea, galactose, xylose and inulin which tend to be more stable. We show that uncorrected concentration measurements of these urinary analytes can be positively correlated, negatively correlated or uncorrelated with the serum concentration. Based on measurements of urinary creatinine concentrations, urinary specific gravity and creatinine excretion rates, we conclude that urinary analyte concentration are likely to be more reliable when creatinine-corrected rather than corrected using specific gravity, but that both are less reliable than measurements of the excretion rate. This has implications for the quantitation of any urinary analyte, but especially for the monitoring of the menstrual cycle in which changes in E1G and PdG from one day to the next can be physiologically significant for a woman monitoring her fertility.

Item ID:	62691
Item Type:	Article (Research - C1)
ISSN:	2544-9826
Keywords:	concentration; creatinine; excretion rate; menstrual cycle; specific gravity; urine
Copyright Information:	© Simon Brown et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution (CC-BY) licence
Date Deposited:	23 Apr 2021 02:40
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320202 Clinical chemistry (incl. diagnostics) @ 50% 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490502 Biostatistics @ 50%
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