scholarly journals Development and validation of a novel sepsis biomarker based on amino acid profiling

Author(s):  
Sunyoung Ahn ◽  
Su Hwan Lee ◽  
Kyung Soo Chung ◽  
Nam Su Ku ◽  
Young-Min Hyun ◽  
...  
2020 ◽  
Author(s):  
Sunyoung Ahn ◽  
Su Hwan Lee ◽  
Kyung Soo Chung ◽  
Nam Su Ku ◽  
Young-Min Hyun ◽  
...  

Abstract Background Sepsis is a potentially fatal condition influenced by pathogens and host factors. However, the current sepsis biomarkers, such as white blood cell count, C-reactive protein, and procalcitonin levels, show unsatisfactory performance in terms of diagnostic sensitivity and specificity in clinical practice. Thus, we developed and validated a new sepsis biomarker using amino acid profiling. Methods We used two independent groups. The training and validation groups included 161 and 22 healthy controls, 123 and 50 patients with systemic inflammatory response syndrome, and 115 and 45 patients with sepsis, respectively. We measured and analyzed the serum amino acid levels using mass spectrometry to select candidate amino acids that could differentiate sepsis from other conditions. Then, several possible multivariate indexes were developed by generating a formula with different combinations of candidate amino acids. The formula showing the best performance was selected and validated further.Results Kynurenine, tryptophan, phenylalanine, arginine, aspartic acid, glutamic acid, and glutamine were selected as candidate amino acids. Ten possible formulae were generated, and that with the highest diagnostic performance was selected. In the validation group, the area under the receiving operating characteristic curve of the selected multivariate index (0.931) was similar to that of procalcitonin (0.945). Moreover, the generated multivariate index showed potential as a prognostic marker. Conclusions Amino acid composition in patients with sepsis differs significantly from that in healthy individuals and in patients with only inflammation. The newly developed multivariate index is expected to be feasible as a sepsis biomarker in clinical practice in the near future.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chang Xu ◽  
Xin Li ◽  
Debin Zeng ◽  
Ying Liu ◽  
Yuhang Gao ◽  
...  

Type 2 diabetes mellitus (T2DM) has become a major disease threatening human health worldwide. At present, the treatment of T2DM cannot cure diabetes and is prone to many side effects. Psidium guajava L. leaves have been reported to possess hypoglycemic activity, and they have been widely used in diabetes treatment in the folk. However, the antidiabetic mechanism has not been clearly explained. Also, the change in amino acid profile can reflect a metabolic disorder and provide insights into system-wide changes in response to physiological challenges or disease processes. The study found that P. guajava L. leaves can decrease fasting blood glucose and lipid levels in type 2 diabetic rats induced by streptozotocin. Through the analysis of amino acid profiling following 20 days of gavage administration, the concentration data were modeled by principal component analysis and orthogonal partial least squares discriminant analysis to find the different metabolites and related metabolic pathways (including cysteine and methionine metabolism, valine, leucine, and isoleucine biosynthesis, phenylalanine, tyrosine, and tryptophan biosynthesis) for the explanation of the hypoglycemic mechanism of P. guajava L., which provides an experimental and theoretical basis for diabetes prediction and for the development of new drugs for the treatment of diabetes.


2007 ◽  
Vol 28 (9) ◽  
pp. 1371-1379 ◽  
Author(s):  
Brad J. Williams ◽  
Carson J. Cameron ◽  
Ronald Workman ◽  
Corey D. Broeckling ◽  
Lloyd W. Sumner ◽  
...  

1996 ◽  
Vol 722 (1-2) ◽  
pp. 303-309 ◽  
Author(s):  
Kyoung Rae Kim ◽  
Jung Han Kim ◽  
Eun-ji Cheong ◽  
Chan-min Jeong

Talanta ◽  
2010 ◽  
Vol 83 (2) ◽  
pp. 513-520 ◽  
Author(s):  
Małgorzata Jaworska ◽  
Zofia Szulińska ◽  
Małgorzata Wilk ◽  
Elżbieta Anuszewska

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