BEVITAL AS

Microbiome

20 biomarkers of 4 different classes from 250 μl volume of serum or plasma sample on GC- and LC-MS/MS platforms. Contact our experts for any questions or inquiries.

Why did we design this panel?

We developed this targeted metabolomics panel for investigating the gut microbiome to precisely quantify specific microbial derived metabolites and understand microbiome-host interactions. This panel helps to identify biomarkers for gut health supporting:

Early Detection of Microbiome Imbalances: By identifying changes in microbial diversity or specific microbial populations, the panel can help to detect dysbiosis (microbial imbalance) associated with conditions like irritable bowel syndrome (IBS), obesity, and metabolic syndrome, enabling early intervention.
Personalized Health Insights: Each person’s microbiome is unique and can impact responses to diet, medications, and lifestyle. The panel can assist personalize nutrition, lifestyle adjustments, and treatment plans according to an individual’s microbiome profile.
Disease Diagnosis and Monitoring: This panel can help diagnose diseases linked to microbiome changes, such as gastrointestinal disorders, autoimmune diseases, and mental health conditions. Regular monitoring aids in tracking disease progression and response to treatments targeting the microbiome.
Immune Function and Inflammation Control: Since the microbiome is closely tied to immune health, this panel can reveal microbial imbalances contributing to chronic inflammation, helping to mitigate associated risks and adjust treatment strategies for inflammation-related conditions.
Integrating with Other Omics: When combined with other omics data (like proteomics or genomics), the panel can provide a fuller picture of an individual’s health, revealing how microbial changes affect metabolic pathways and gene expression.
Promoting Gut-Brain Health: Emerging evidence links the microbiome to neurological and mental health. The selected metabolites can help to identify microbiome shifts associated with mood disorders, cognitive decline, and other neurological conditions, supporting interventions that promote gut-brain health.

Applications: Autoimmune diseases, cancer, cardiovascular diseases, chronic kidney disease (CKD), infectious diseases, gastrointestinal disorders, liver diseases, mental health, metabolic disorders, neurodegenerative disorders, skin conditions.

SCFAs

8 markers by GC-MS/MS

SCFAs, in particular butyrate, are anti-inflammatory, expand the pool of intestinal regulatory T cells, protect against allergic sensitization, mitigate production of reactive oxygen species, are essential for gut integrity, and exert antiproliferative effects on cancer cells. Butyrate’s effects on the immune system are mediated through the inhibition of class I histone deacetylases and activation of G-protein coupled receptors: GPR109A, GPR41 and GPR43. SCFAs increase insulin secretion (via GPR41/43), and low gut-derived SCFAs have been suggested to be associated with type II diabetes, insulin resistance, obesity and NAFLD.

Acetate, Butyrate, Formate, Isobutyrate, Isovalerate, Propionate, Valerate, α-Methylbutyrate

Indoles

7 markers by LC-MS/MS

About 5 % of tryptophan is catabolized by the gut microbome, generating so-called microbiome-derived tryptophan metabolites collectively referred to as indoles. Microbiome-derived indoles have diverse biological roles affecting health. Some are ligands of the aryl hydrocarbon receptor (AhR) thereby modulating the immune response, others have anti-inflammatory and anti-oxidative effects, enhance the intestinal epithelial barrier, increase secretion of gut hormones and stimulate intestinal motility. Indoles are generally thought to mediate beneficial health effects, with the exception of 3IS, a host-microbial co-metabolite generated from indole in the liver.

3-Indoxyl sulfate, Imidazole propionate, Indole-3-acetamide, Indole-3-acetate, Indole-3-aldehyde, Indole-3-lactate, Indole-3-propionate

Choline oxidation

4 markers by LC-MS/MS

Choline oxidation and its related metabolites—betaine, dimethylglycine (DMG), sarcosine, and trimethylamine-N-oxide (TMAO)—are related to the gut microbiome in several ways. Gut bacteria play a crucial role in metabolizing choline into trimethylamine (TMA), which is then absorbed and oxidized in the liver to form TMAO. TMAO has been linked to various health conditions, and the gut microbiome’s ability to convert choline into TMAO may impact the host’s health outcomes. The gut microbiome also influences the production of other choline-derived metabolites like betaine, DMG, and sarcosine, affecting methylation processes and overall metabolic health. The types and activities of gut bacteria determine the efficiency and extent of choline metabolism, influencing the levels of these metabolites in the body, with different gut microbiome compositions linked to varying health outcomes. Lastly, dietary intake of choline and related compounds affects gut microbiome composition and function, creating a bidirectional relationship between diet, the gut microbiome, choline metabolism and host health outcomes.

Choline, Betaine, DMG, TMAO

Amino acid derived metabolite

1 marker by GC-MS/MS

Phenylacetylglutamine (PAGln) is a bacterial metabolic product of phenylalanine. Phenylalanine is initially converted in the gut to phenylpyruvic acid and further to phenylacetic acid, which is conjugated with glutamine in the liver and kidney forming PAGln. PAGln may accumulate in renal disease and therefore is considered as a uremic toxin (2). Circulating concentrations have been related to the development of atherosclerotic cardiovascular disease and major adverse cardiovascular events (MACE), including myocardial infarction, stroke or death, and recently to heart failure and diabetes. Mechanistic studies indicated cardiovascular effects may partly at least be mediated by interaction of PAGln with G-protein coupled adrenergic receptors. 

Phenylacetylglutamine

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Per Christian Eriksen

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 completed his education in Biomedical Science at the Western Norway University of Applied Sciences, supplemented by specialized training in Electrical Engineering and Electronics at the Royal Norwegian Naval Training Establishment and the National Institute of Technology. With many years of experience as a biomedical scientist in hospital laboratories—specializing primarily in microbiology—he brings a unique blend of clinical and technical expertise to his work. Ove focuses on the design and prototyping of electronics, as well as the service and maintenance of laboratory instrumentation, ensuring that technical equipment and workflows remain precise and reliable for research-focused activities.

Lena holds a master`s degree in biology from the University in Bergen. At Bevital she works with LC-MS/MS anlyses focusing on accurate and reliable testing of biological samples. She is dedicated to ensuring precise and high-quality results that contribute to reliable scientific outcomes and support ongoing research efforts.

Marit holds a degree in chemical engineering from Bergen Ingeniørhøyskole, which is now part of the Western Norway University of Applied Sciences. She works with quantitative analysis and method development on LC-MS/MS at the laboratory of Bevital AS.

Randi holds a Master of Science in Chemical Process Engineering from the Norwegian University of Science and Technology (NTNU). She has been part of Bevital since its very beginning, contributing her expertise primarily to the LC-MS/MS platforms, but also to the microbiological assays. In 2021, she stepped into the role of Manager/CEO, where she is dedicated to strengthening Bevital’s innovative profile and ensuring the company’s continued growth and success. She is especially motivated by advancing research that improves health insights and by fostering collaboration that drives scientific and technological progress.

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, expected to graduate in 2026. Her master’s thesis focuses on method validation in fatty acid analysis. At Bevital, she works with GC-MS/MS analyses, routinely performing SCFA measurements and emphasizing 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 earned his PhD in physics from the University of Münster in Germany. For more than thirty years he has specialized in Time‑of‑Flight mass spectrometry, contributing innovative approaches to SNP genotyping and protein quantification. Together with his colleague Lene Njåstad, he oversees Bevital’s Olink Proteomics service. He also leads Bevital’s website and media design efforts, ensuring a clear and informative public presence.

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 (): 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.

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541.

Holm, Pål I; Ueland, Per Magne; Kvalheim, Gry; Lien, Ernst A

Determination of choline, betaine, and dimethylglycine in plasma by a high-throughput method based on normal-phase chromatography-tandem mass spectrometry Journal Article

In: Clin Chem, vol. 49, no. 2, pp. 286–294, 2003, ISSN: 0009-9147.

Abstract | Links | BibTeX

542.

El-Khairy, Lina; Vollset, Stein E; Refsum, Helga; Ueland, Per M

Plasma total cysteine, pregnancy complications, and adverse pregnancy outcomes: the Hordaland Homocysteine Study Journal Article

In: Am J Clin Nutr, vol. 77, no. 2, pp. 467–472, 2003, ISSN: 0002-9165.

Abstract | Links | BibTeX

543.

Meleady, Raymond; Ueland, Per M; Blom, Henk; Whitehead, Alexander S; Refsum, Helga; Daly, Leslie E; Vollset, Stein Emil; Donohue, Cait; Giesendorf, Belinda; Graham, Ian M; Ulvik, Arve; Zhang, Ying; and, Anne-Lise Bjorke Monsen

Thermolabile methylenetetrahydrofolate reductase, homocysteine, and cardiovascular disease risk: the European Concerted Action Project Journal Article

In: Am J Clin Nutr, vol. 77, no. 1, pp. 63–70, 2003, ISSN: 0002-9165.

Abstract | Links | BibTeX

544.

Bjelland, Ingvar; Ueland, Per M; Vollset, Stein Emil

Folate and depression Miscellaneous

2003, ISSN: 0033-3190.

Links | BibTeX

545.

Schneede, J; Ueland, P M; Kjaerstad, S I

Routine determination of serum methylmalonic acid and plasma total homocysteine in Norway Journal Article

In: Scand J Clin Lab Invest, vol. 63, no. 5, pp. 355–367, 2003, ISSN: 0036-5513.

Abstract | Links | BibTeX

546.

El-Khairy, Lina; Vollset, Stein E; Refsum, Helga; Ueland, Per M

Predictors of change in plasma total cysteine: longitudinal findings from the Hordaland homocysteine study Journal Article

In: Clin Chem, vol. 49, no. 1, pp. 113–120, 2003, ISSN: 0009-9147.

Abstract | Links | BibTeX

547.

Bor, Mustafa Vakur; Refsum, Helga; Bisp, Marianne R; Bleie, Øyvind; Schneede, Jorn; Nordrehaug, Jan Erik; Ueland, Per Magne; Nygard, Ottar Kjell; Nexø, Ebba

Plasma vitamin B6 vitamers before and after oral vitamin B6 treatment: a randomized placebo-controlled study Journal Article

In: Clin Chem, vol. 49, no. 1, pp. 155–161, 2003, ISSN: 0009-9147.

Abstract | Links | BibTeX

548.

Nexo, Ebba; Hvas, Anne-Mette; Bleie, Øyvind; Refsum, Helga; Fedosov, Sergey N; Vollset, Stein Emil; Schneede, Jorn; Nordrehaug, Jan Erik; Ueland, Per Magne; Nygard, Ottar Kjell

Holo-transcobalamin is an early marker of changes in cobalamin homeostasis. A randomized placebo-controlled study Journal Article

In: Clin Chem, vol. 48, no. 10, pp. 1768–1771, 2002, ISSN: 0009-9147.

Abstract | BibTeX

549.

Hustad, Steinar; McKinley, Michelle C; McNulty, Helene; Schneede, Jørn; Strain, J J; Scott, John M; Ueland, Per Magne

Riboflavin, flavin mononucleotide, and flavin adenine dinucleotide in human plasma and erythrocytes at baseline and after low-dose riboflavin supplementation Journal Article

In: Clin Chem, vol. 48, no. 9, pp. 1571–1577, 2002, ISSN: 0009-9147.

Abstract | BibTeX

550.

Cappuccio, Francesco P; Bell, Rachel; Perry, Ivan J; Gilg, Julie; Ueland, Per M; Refsum, Helga; Sagnella, Giuseppe A; Jeffery, Steve; Cook, Derek G

Homocysteine levels in men and women of different ethnic and cultural background living in England Journal Article

In: Atherosclerosis, vol. 164, no. 1, pp. 95–102, 2002, ISSN: 0021-9150.

Abstract | Links | BibTeX

551.

Nurk, Eha; Tell, Grethe S; Vollset, Stein Emil; Nygård, Ottar; Refsum, Helga; Ueland, Per M

Plasma total homocysteine and hospitalizations for cardiovascular disease: the Hordaland Homocysteine Study Journal Article

In: Arch Intern Med, vol. 162, no. 12, pp. 1374–1381, 2002, ISSN: 0003-9926.

Abstract | Links | BibTeX

552.

Macko, Richard F; Kittner, Steven J; Ivey, Frederick M; Epstein, Anne; Sparks, Mary J; Hebel, J Richard; Johnson, Constance C; Wityk, Robert J; Ueland, Per M; Refsum, Helga

Effects of vitamin therapy on plasma total homocysteine, endothelial injury markers, and fibrinolysis in stroke patients Journal Article

In: J Stroke Cerebrovasc Dis, vol. 11, no. 1, pp. 1–8, 2002, ISSN: 1532-8511.

Abstract | Links | BibTeX

553.

Ren, Jicun; Ulvik, Arve; Refsum, Helga; Ueland, Per Magne

Uracil in human DNA from subjects with normal and impaired folate status as determined by high-performance liquid chromatography-tandem mass spectrometry Journal Article

In: Anal Chem, vol. 74, no. 1, pp. 295–299, 2002, ISSN: 0003-2700.

Abstract | Links | BibTeX

554.

Ulvik, A; Ueland, P M

Single nucleotide polymorphism (SNP) genotyping in unprocessed whole blood and serum by real-time PCR: application to SNPs affecting homocysteine and folate metabolism Journal Article

In: Clin Chem, vol. 47, no. 11, pp. 2050–2053, 2001, ISSN: 0009-9147.

BibTeX

555.

Ueland, P M; Monsen, A L Bjørke

Total homocysteine is making its way into pediatric laboratory diagnostics Journal Article

In: Eur J Clin Invest, vol. 31, no. 11, pp. 928–930, 2001, ISSN: 0014-2972.

Links | BibTeX

556.

Monsen, A L Bjørke; Ueland, P M; Vollset, S E; Guttormsen, A B; Markestad, T; Solheim, E; Refsum, H

Determinants of cobalamin status in newborns Journal Article

In: Pediatrics, vol. 108, no. 3, pp. 624–630, 2001, ISSN: 1098-4275.

Abstract | Links | BibTeX

557.

Nedrebø, B G; Nygård, O; Ueland, P M; Lien, E A

Plasma total homocysteine in hyper- and hypothyroid patients before and during 12 months of treatment Journal Article

In: Clin Chem, vol. 47, no. 9, pp. 1738–1741, 2001, ISSN: 0009-9147.

BibTeX

558.

Refsum, H; Yajnik, C S; Gadkari, M; Schneede, J; Vollset, S E; Orning, L; Guttormsen, A B; Joglekar, A; Sayyad, M G; Ulvik, A; Ueland, P M

Hyperhomocysteinemia and elevated methylmalonic acid indicate a high prevalence of cobalamin deficiency in Asian Indians Journal Article

In: Am J Clin Nutr, vol. 74, no. 2, pp. 233–241, 2001, ISSN: 0002-9165.

Abstract | Links | BibTeX

559.

Vollset, S E; Refsum, H; Tverdal, A; Nygård, O; Nordrehaug, J E; Tell, G S; Ueland, P M

Plasma total homocysteine and cardiovascular and noncardiovascular mortality: the Hordaland Homocysteine Study Journal Article

In: Am J Clin Nutr, vol. 74, no. 1, pp. 130–136, 2001, ISSN: 0002-9165.

Abstract | Links | BibTeX

560.

Ulvik, A; Evensen, E T; Lien, E A; Hoff, G; Vollset, S E; Majak, B M; Ueland, P M

Smoking, folate and methylenetetrahydrofolate reductase status as interactive determinants of adenomatous and hyperplastic polyps of colorectum Journal Article

In: Am J Med Genet, vol. 101, no. 3, pp. 246–254, 2001, ISSN: 0148-7299.

Abstract | Links | BibTeX

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