Amino Acid Profile

The determination of the concentration of free amino acids in blood samples provides new, precise insights into individual health status

lifespin has developed a unique method to capture a digital snapshot of an individual’s amino acid profile.
Determining the amino acid profile enables a physician systematic mapping across health conditions for prevention, diagnostics and monitoring of treatment success.
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The importance of amino acids

Amino acids are involved in many important roles in your body
Amino acids are the basic building blocks for peptides and proteins.
Amino acids regulate metabolic pathways involved in cell maintenance, growth, reproduction and immunity.
Ensuring the optimal balance of amino acid concentrations is critical to maintaining physiological processes.
The distribution of amino acid concentrations can be used as an indicator of the health status of adult individuals.

Free amino acids in the blood are more readily available for use by the body than protein-bound forms.

Rapid absorption

Free amino acids are readily absorbed by the intestinal wall, whereas protein-bound amino acids need to be broken down into their individual components before they can be absorbed.

Transport

Free amino acids are transported in the blood more easily than protein-bound amino acids. This is because free amino acids are not bound to a carrier protein and can move across cell membranes more easily.

Metabolism

Free amino acids can be used for protein synthesis more readily than protein-bound amino acids. This is because free amino acids do not need to be released from the protein before they can be used

Regulation

The concentration of free amino acids in the blood can be rapidly adjusted by the liver in response to changing metabolic demands. In contrast, the release of amino acids from protein-bound forms is slower and less responsive to changes in demand.

The analysis of the concentration of free amino acids can be helpful for

Nutritional assessment and identifying possible nutrient deficiencies

Monitoring the function of organs and organ systems

Medical diagnostics to identify certain health conditions, including metabolic disorders, and to monitor recovery

Amino acid deficiency

It can be observed in various conditions

Malnutrition is commonly observed in the elderly and individuals with poor protein intake, such as vegetarians and vegans. This can lead to various health issues.

Gastrointestinal diseases, including leaky gut and malabsorption, are often associated with malnutrition. Glutamine is crucial for maintaining gut lining health.

Sarcopenia refers to the loss of muscle mass and strength that exceeds the normal age-related decline. Deficiency in leucine, isoleucine, and valine, is a common trigger for sarcopenia in old age.

The amino acids lysine and threonine are crucial building blocks for the formation of antibodies, which play a significant role in strengthening the immune system and fighting infections.

Glutamine is a vital amino acid that promotes a relaxed mental state by playing important roles in neurotransmitter synthesis and brain function.

The most common symptom of Long-Covid is exhaustion or fatigue, which may be due to the undersupply of amino acids to mitochondria, the powerhouses of cells that are essential for energy metabolism and optimal body performance.

Elevated level of amino acid

It is a strong sign and shows that there is a problem with the body’s ability to metabolize that amino acid 

Such aminoacidopathy can be associated with diseases such as liver cirrhosis and NAFL (especially tyrosine, methionine).

Elevated isoleucine, leucine and valine levels may be signs of fasting.

Interactive Amino Acid Emulator

Experience the influence of altered amino acid concentrations on organs, organ systems and metabolism
Amino Acid Emulator

Individuals who may benefit from lifespin® Amino Acid Profile

  • Acutely and chronically ill individuals, who depend on a functioning immune system.
  • Elderly who may have difficulty absorbing or utilizing dietary protein.
  • Vegetarians or vegans, who may have limited dietary sources of certain amino acids.
  • Athlets or bodybuilders, who engage in highintensity exercise.

The lifespin® Amino Acid Profile*

Proteinogenic Amino Acids
  • Alanine
  • Arginine
  • Asparagine
  • Aspartic acid
  • Glutamine
  • Glutamic acid
  • Glycine
  • Histidine
  • Isoleucine
  • Leucine
  • Lysine
  • Methionine
  • Phenylalanine
  • Proline
  • Serine
  • Threonine
  • Tyrosine
  • Valine
Amino Acid Derivatives
  • 1-Methylhistidine
  • 3-Methylhistidine
  • Betaine
  • Cystine
  • Creatinine
  • Dimethylglycine
  • Ornithine
  • Sarcosine
*The product may only be used in the EEA area.

With lifespin, this is What You Get:
up to 100x more Health Data

A Compute-Biology Convergence Providing Deep Insights into Your Health Status

Benefits

The lifespin blood testing benefits
Blood

ad10x*

Smaller Sample
cost

ad100x*

Less Expensive
Speed

ad1000x*

Faster
data

ad100x*

More Health Data
Recurring Analysis

Revenue Stream

*Compared to Legacy Clinical Blood Testing Standard-of-Care (SoC)

The lifespin® Workflow

Our technology allows new insights into health

The lifespin®
Amino Acid Profile Report*

Amino Acid Result
(mmol/l) 		Reference Range
(mmol/l)
Arginine 0.074 0 - 0.224
+ Isoleucine 0.146 0.033 - 0.123
- Tyrosine 0.037 0.041 - 0.106
* exemplary report excerpt
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Product Application

We offer our products to healthcare providers only. Please fill in the required fields and submit this form to check if you qualify. 

Amino Acid Profile
€119.00
per test
  • This form will be submitted securely

Downloads

Specimen Collection Instruction
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Submission sheet
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References

Canfield, Clare-Ann, und Patrick C. Bradshaw. 2019. „Amino Acids in the Regulation of Aging and Aging-Related Diseases“. Translational Medicine of Aging 3 (Januar): 70–89. https://doi.org/10.1016/j.tma.2019.09.001.

Chen, Jinna, Shulei Zhang, Jiaxiong Wu, Shiyuan Wu, Gaosheng Xu, und Dangheng Wei. 2019. „Essential Role of Nonessential Amino Acid Glutamine in Atherosclerotic Cardiovascular Disease“. DNA and Cell Biology 39 (1): 8–15. https://doi.org/10.1089/dna.2019.5034.

Chen, Tianlu, Yan Ni, Xiaojing Ma, Yuqian Bao, Jiajian Liu, Fengjie Huang, Cheng Hu, u. a. 2016. „Branched-Chain and Aromatic Amino Acid Profiles and Diabetes Risk in Chinese Populations“. Scientific Reports 6 (Februar): 20594. https://doi.org/10.1038/srep20594.

Dereziński, Paweł, Agnieszka Klupczynska, Wojciech Sawicki, Jerzy A. Pałka, und Zenon J. Kokot. 2017. „Amino Acid Profiles of Serum and Urine in Search for Prostate Cancer Biomarkers: A Pilot Study“. International Journal of Medical Sciences 14 (1): 1–12. https://doi.org/10.7150/ijms.15783.

Grajeda-Iglesias, Claudia, und Michael Aviram. 2018. „Specific Amino Acids Affect Cardiovascular Diseases and Atherogenesis via Protection against Macrophage Foam Cell Formation: Review Article“. Rambam Maimonides Medical Journal 9 (3). https://doi.org/10.5041/RMMJ.10337.

Hakuno, Daihiko, Yasuhito Hamba, Takumi Toya, und Takeshi Adachi. 2015. „Plasma Amino Acid Profiling Identifies Specific Amino Acid Associations with Cardiovascular Function in Patients with Systolic Heart Failure“. PLOS ONE 10 (2): e0117325. https://doi.org/10.1371/journal.pone.0117325.

Ishikawa, Toru. 2012. „Branched-Chain Amino Acids to Tyrosine Ratio Value as a Potential Prognostic Factor for Hepatocellular Carcinoma“. World Journal of Gastroenterology 18 (17): 2005–8. https://doi.org/10.3748/wjg.v18.i17.2005.

Jiang, Lihua, Meng Wang, Shin Lin, Ruiqi Jian, Xiao Li, Joanne Chan, Guanlan Dong, u. a. 2020. „A Quantitative Proteome Map of the Human Body“. Cell 183 (1): 269-283.e19. https://doi.org/10.1016/j.cell.2020.08.036.

Ruiz-Canela, Miguel, Estefania Toledo, Clary B. Clish, Adela Hruby, Liming Liang, Jordi Salas-Salvadó, Cristina Razquin, u. a. 2016. „Plasma Branched-Chain Amino Acids and Incident Cardiovascular Disease in the PREDIMED Trial“. Clinical Chemistry 62 (4): 582–92. https://doi.org/10.1373/clinchem.2015.251710.

Scoville, Elizabeth A., Margaret M. Allaman, Caroline T. Brown, Amy K. Motley, Sara N. Horst, Christopher S. Williams, Tatsuki Koyama, u. a. 2018. „Alterations in Lipid, Amino Acid, and Energy Metabolism Distinguish Crohn’s Disease from Ulcerative Colitis and Control Subjects by Serum Metabolomic Profiling“. Metabolomics 14 (1): 17. https://doi.org/10.1007/s11306-017-1311-y.

Tobias, Deirdre K., Patrick R. Lawler, Paulo H. Harada, Olga V. Demler, Paul M. Ridker, JoAnn E. Manson, Susan Cheng, und Samia Mora. 2018. „Circulating Branched-Chain Amino Acids and Incident Cardiovascular Disease in a Prospective Cohort of US Women“. Circulation. Genomic and Precision Medicine 11 (4): e002157. https://doi.org/10.1161/CIRCGEN.118.002157.

Tobias, Deirdre K., Samia Mora, Subodh Verma, und Patrick R. Lawler. 2018. „Altered Branched Chain Amino Acid Metabolism: Towards a Unifying Cardiometabolic Hypothesis“. Current opinion in cardiology 33 (5): 558–64. https://doi.org/10.1097/HCO.0000000000000552

Yanagisawa, Ryoji, Masaharu Kataoka, Takumi Inami, Yuichi Momose, Takashi Kawakami, Makoto Takei, Mai Kimura, u. a. 2015. „Usefulness of Circulating Amino Acid Profile and Fischer Ratio to Predict Severity of Pulmonary Hypertension“. The American Journal of Cardiology 115 (6): 831–36. https://doi.org/10.1016/j.amjcard.2014.12.048.

Zhao, Xue, Qing Han, Yujia Liu, Chenglin Sun, Xiaokun Gang, und Guixia Wang. 2016. „The Relationship between Branched-Chain Amino Acid Related Metabolomic Signature and Insulin Resistance: A Systematic Review“. Journal of Diabetes Research 2016. https://doi.org/10.1155/2016/2794591.

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