Multiple regression analysis of the cholinesterase activity with certain physiochemical factors

Ando, Masayuki; Hirosaki, Shota; Tamura, Kenji; Taya, Toshimitsu

doi:10.1016/0013-9351(84)90011-2

Cited by 8 publications

(9 citation statements)

References 10 publications

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“…Multivariate analyses revealed that BMI, GPT, serum albumin or total cholesterol were strongly correlated with CHE irrespective of OR gene nSNPs ( P < 0.0001; Table 3). These correlation results have been previously reported 30–32 …”

Section: Discussionsupporting

confidence: 92%

“…These correlation results have been previously reported. [30][31][32] Serum albumin levels also reflect protein synthesis in the liver. However, Zou et al suggested that serum cholinesterase activity could be a better and more sensitive parameter than albumin for reflecting aberrant protein synthesis and damage to the liver.…”

Section: E Vidence For the Presence In The Human Genomementioning

confidence: 99%

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Common null variant, Arg192Stop, in a G‐protein coupled receptor, olfactory receptor 1B1, associated with decreased serum cholinesterase activity

Koyano

Emi

Saito

et al. 2008

Hepatology Research

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Section: Discussionsupporting

confidence: 92%

Section: E Vidence For the Presence In The Human Genomementioning

confidence: 99%

Common null variant, Arg192Stop, in a G‐protein coupled receptor, olfactory receptor 1B1, associated with decreased serum cholinesterase activity

Koyano

Emi

Saito

et al. 2008

Hepatology Research

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“…Ando et al 23 reported the ChE levels to become elevated in women in the winter, but they did not change significantly in men. In the elderly, T-Bil increases in the summer only in men, which is quite consistent with the findings of the current study.…”

Section: Fitted Functionmentioning

confidence: 96%

Seasonal variation in liver function tests: a time-series analysis of outpatient data

Miyake¹,

Miyake²,

Kondo³

et al. 2009

Ann Clin Biochem

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Background: Long-term physiological variations, such as seasonal variations, affect the screening efficiency at medical checkups. This study examined the seasonal variation in liver function tests using recently described data-mining methods. Methods: The 'latent reference values' of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyltransferase (gGT), cholinesterase (ChE) and total bilirubin (T-Bil) were extracted from a seven-year database of outpatients (aged 20-79 yr; comprising approximately 1,270,000 test results). After calculating the monthly means for each variable, the time-series data were separated into trend and seasonal components using a local regression model (Loess method). Then, a cosine function model (cosinor method) was applied to the seasonal component to determine the periodicity and fluctuation range. A two-year outpatient database (215,000 results) from another hospital was also analysed to confirm the reproducibility of these methods. Results: The serum levels of test results tended to increase in the winter. The increase in AST and ALT was about 6% in men and women, and was greater than that in ChE, ALP (in men and women) and gGT (in men). In contrast, T-Bil increased by 3.6% (men) and 5.0% (women) in the summer. The total protein and albumin concentrations did not change significantly. AST and ALT showed similar seasonal variation in both institutions in the comparative analysis. Conclusions: The liver function tests were observed to show seasonal variations. These seasonal variations should therefore be taken into consideration when establishing either reference intervals or cut-off values, which are especially important regarding aminotransferases.

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“…Other investigators [Calloway et al (1951), Gage (1969)] did not find age to be a factor influencing the magnitude of variability of ChE in adults. Ando et al (1984) found that serum ChE activity increased according to age in females, while it decreased slightly according to age in males. The ChE activity was higher in males than in females under fifty years of age, whereas the reverse was found in persons over fifty-five years of age.…”

Section: Sex Differencesmentioning

confidence: 94%

Assessing Risks of Cholinesterase-Inhibiting Pesticides

Lefferts

1989

Risk Assessment in Setting National Priorities

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Inhibiting Pesticides. (Under the direction of ALVIS G. TURNER) Cholinesterase-inhibiting (ChE-I) pesticides, which include both organophosphates (OP's) and carbamates, together constitute a very significant proportion of pesticides used in the U.S. and worldwide. ChE-I pesticides are known to disrupt nervous system functioning in animals and humans, and OP's are implicated in human poisonings more often than any other class of pesticides. The U.S. Environmental Protection Agency (EPA) uses ChE-I to characterize the risks of these pesticides since ChE-I is a sensitive predictor of exposure. Assessing the risks of OP's and carbamates on the basis of ChE-I involves many uncertainties. The decisions and assumptions made to resolve these uncertainties are science policy decisions, and can have a significant impact on the final characterization of the risk. This report identifies the principal uncertainties throughout each of the four stages of risk assessment (as described by the National Research Council), discusses the nature and public health implications of these uncertainties, suggests an approach for describing and resolving uncertainties, and provides recommendations useful in developing a science policy for ChE-I pesticides. It is concluded that the EPA's use of an uncertainty factor as small as ten is not justified by the available scientific evidence.

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Multiple regression analysis of the cholinesterase activity with certain physiochemical factors

Cited by 8 publications

References 10 publications

Common null variant, Arg192Stop, in a G‐protein coupled receptor, olfactory receptor 1B1, associated with decreased serum cholinesterase activity

Common null variant, Arg192Stop, in a G‐protein coupled receptor, olfactory receptor 1B1, associated with decreased serum cholinesterase activity

Seasonal variation in liver function tests: a time-series analysis of outpatient data

Assessing Risks of Cholinesterase-Inhibiting Pesticides

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