Arginine (Arg) bioavailability has been assessed in terms of Global arginine bioavailability (GABR) calculated as Arg divided by the sum of ornithine (Orn) plus citrulline (Ctn). A related index is the arginine-to-ornithine ratio (AOr) that may reflect arginase activity. These indices have been related to mortality in SCD patients, but also to cardiovascular disease, diabetes, pulmonary hypertension (1), and recently, low levels have been reported in patients with COVID-19 (2).
Fisher´s ratio (FR) is defined as sum of branched-chain amino acids (BCAAs: Leu, Ile and Val) divided by the sum of aromatic amino acids (AAA: Tyr, Phe). While BCAAs (and AAAs) tend to be elevated in patients with insulin resistance, prediabetes (and NAFLD), a different amino acid profile often develops in severe liver disease. FR normally is about 3.5 and can decline markedly (to 0.7-0.8) in patients with chronic liver damage, including fibrosis. A moderate decline in FR has been reported in Chronic congestive heart failure, Chronic obstructive pulmonary disease and Polycystic ovary syndrome (3).
GSG index is the ratio of Glu divided by the sum of Ser and Gly. This index thus combines amino acids involved in glutathione synthesis. An index values higher than 0.36 (upper tertile) is associated with twofold higher prevalence of NAFLD. GSG index is associated with liver damage, the severity of liver fibrosis and shows a positive relation to liver enzymes, such as GGT and AST (3, 4).
GABR and AOr should be measured together with asymmetric dimethylarginine (ADMA) (and homoarginine) for the assessment of endothelial function and cardiovascular risk. FR and GSG index may be useful for the assessment of the extent of liver damage in patients with NAFLD, NASH or liver fibrosis.
Patient/subject: Prandial status affects concentration, which increases after arginine intake.
Matrix: EDTA plasma and serum. Arginine decreases (up to 70%) in samples with hemolysis.
Volume: Minimum volume is 50 µL, but 200 µL is optimal and allows reanalysis.
Preparation and stability: The blood sample must be centrifuged and the plasma/serum fraction put on ice, and frozen. Gln may be converted to Glu in serum/plasma stored at room temperature for hours.
Frozen, on dry ice. (for general instruction on transportation, click here)
Reported values: GABR: 0.2 – 1.2; AOr: 0.2 – 1.5; FR: 0.7 – 3.3; GSG: 0.2-0.6.
1. Morris, C. R., Hamilton-Reeves, J., Martindale, R. G., Sarav, M., & Ochoa Gautier, J. B. (2017). Acquired Amino Acid Deficiencies: A Focus on Arginine and Glutamine. Nutr Clin Pract, 32(1_suppl), 30S-47S.
2. Rees, C. A., Rostad, C. A., Mantus, G., Anderson, E. J., Chahroudi, A., Jaggi, P. et al. (2021). Altered amino acid profile in patients with SARS-CoV-2 infection. Proc Natl Acad Sci U S A, 118, e2101708118.
3. Masoodi, M., Gastaldelli, A., Hyötyläinen, T., Arretxe, E., Alonso, C., Gaggini, M. et al. (2021). Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests. Nat Rev Gastroenterol Hepatol, 18(12), 835-856.
4. Leonetti, S., Herzog, R. I., Caprio, S., Santoro, N., & Tricò, D. (2020). Glutamate–serine–glycine index: A novel potential biomarker in pediatric non-alcoholic fatty liver disease. Children, 7(12), 270.
Beate
Øivind
Per Magne Ueland has been Professor at the University of Bergen 1987-2018. He is one of the founders of Bevital AS and the scientific advisor in Bevital since 2023. His interests includes biomarkers related to nutrition, inflammation, ageing and life-style related chronic diseases. Per is committed to the development of precise, high-throughput mass spectrometry methods, tailored for metabolic profiling of biobank specimens from large cohorts.
Ove
Ove completed a bachelor’s degree in Biomedical Laboratory Sciences at the Western Norway University of Applied Sciences in Bergen. With extensive experience in method development and expertise in GC-MS/MS, he specializes in optimizing analytical techniques for research-focused studies. At Bevital, Ove is dedicated to advancing laboratory methods and workflows, contributing to innovative research through precise and reliable analytical solutions.
Lene holds a bachelor’s degree in Biomedical Laboratory Science from the Western Norway University of Applied Sciences, where she is also completing her master’s degree in Medical Laboratory Technology. At Bevital, she works with GC-MS/MS analyses, focusing on accurate and reliable testing of biological samples. With her strong laboratory background, Lene is committed to delivering high-quality results that support medical research.
Klaus holds a PhD in physics from the University of Münster in Germany. He has over three decades of experience in Time-of-Flight mass spectrometry. He leverages his extensive expertise to provide customers with cutting-edge MALDI-MS analysis and the newest Olink Proteomics services.
Adrian holds a PhD in diabetes research, along with bachelor’s and master’s degrees in biomedical science and public health, respectively. With over 20 years of experience in laboratory science, he leads high-precision metabolite analyses and method development at Bevital. His expertise centers on quantifying biomarkers, metabolite classes, and metabolic pathways related to nutrition, cardiovascular and neurodegenerative diseases, and cancer. Adrian is committed to advancing research quality and actively collaborates nationally and internationally, leveraging targeted metabolomics to support innovative, multidisciplinary research.
Statistical power is the probability that a statistical test will correctly reject a false null hypothesis (H0) when a specific alternative hypothesis (H1) is true. H0 is the null hypothesis, which states there is no effect or no difference. H1 is the alternative hypothesis, which states there is a real effect or difference. Alpha (α) is the probability of a Type I error (a false positive), which is the risk of incorrectly rejecting the H0 when it is actually true. You set this value before the experiment, commonly at 0.05. Beta (β) is the probability of a Type II error (a false negative), which is the risk of failing to reject the H0 when it is actually false.
Power is calculated as 1−β. Increasing power means you are decreasing the probability of making a Type II error.
Several factors can be adjusted to increase the power of a statistical test:
Effect Size: This is the magnitude of the difference you are trying to detect. A larger effect size is easier to detect, thus increasing power.
Sample Size: The number of observations in a study. A larger sample size provides more information about the population, reducing the margin of error and increasing the power to detect a true effect.
Variation: Refers to the spread or standard deviation of the data within the population. Less variation makes it easier to distinguish a real effect from random noise, thereby increasing power.
Alpha (α): Increasing the alpha level (e.g., from 0.05 to 0.10) also increases power, but at the cost of a higher risk of a Type I error. This trade-off is often undesirable.

Vollset, S E; Nygârd, O; Refsum, H; Ueland, P M
Coffee and homocysteine Miscellaneous
2000, ISSN: 0002-9165.
@misc{pmid10648251,
title = {Coffee and homocysteine},
author = {S E Vollset and O Nygârd and H Refsum and P M Ueland},
doi = {10.1093/ajcn/71.2.403},
issn = {0002-9165},
year = {2000},
date = {2000-02-01},
journal = {Am J Clin Nutr},
volume = {71},
number = {2},
pages = {403--404},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Schneede, J; Refsum, H; Ueland, P M
Biological and environmental determinants of plasma homocysteine Journal Article
In: Semin Thromb Hemost, vol. 26, no. 3, pp. 263–279, 2000, ISSN: 0094-6176.
@article{pmid11011844,
title = {Biological and environmental determinants of plasma homocysteine},
author = {J Schneede and H Refsum and P M Ueland},
doi = {10.1055/s-2000-8471},
issn = {0094-6176},
year = {2000},
date = {2000-01-01},
journal = {Semin Thromb Hemost},
volume = {26},
number = {3},
pages = {263--279},
abstract = {This article gives an overview over common physiological, lifestyle, and pathological conditions that may modulate the homocysteine status. The interplay of several environmental factors, including age, gender, nutrition, smoking, and coffee consumption and physical activity with commonly used drugs and prevalent diseases are described. In most cases, an abnormal homocysteine status is not caused by a single factor alone but often is the result of combined effects. We address these frequently found "clusters" of homocysteine-modulating factors. Finally, we give an overview of likely causes of hyperhomocysteinemia found in an authentic material. This material is based on 2462 routine measurements of plasma total homocysteine carried out at the Haukeland University Hospital. The data represent the total number of combined homocysteine and methylmalonic acid determinations, requested by general practitioners in Norway during February 1998.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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