Development, validation and application of LC–MS/MS method for quantification of amino acids, kynurenine and serotonin in human plasma

Virág, Dávid; Király, Márton; Drahos, László; Édes, Andrea Edit; Gecse, Kinga; Bagdy, György; Juhász, Gabriella; Antal, István; Klebovich, Imre; Kiss, Borbála Dalmadi; Ludányi, Krisztina

doi:10.1016/j.jpba.2019.113018

Cited by 42 publications

(25 citation statements)

References 22 publications

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“…Plasma samples were frozen and kept at − 80 °C until the assay. LC–MS/MS method already published by Virág et al 83 was used for the quantitative determination of total tryptophan and other large amino acids (valine, leucine, isoleucine, phenylalanine, tyrosine) concentration.…”

Section: Methodsmentioning

confidence: 99%

Association of plasma tryptophan concentration with periaqueductal gray matter functional connectivity in migraine patients

Gecse

Dobos

Aranyi

et al. 2022

Sci Rep

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Altered periaqueductal gray matter (PAG) functional connectivity contributes to brain hyperexcitability in migraine. Although tryptophan modulates neurotransmission in PAG projections through its metabolic pathways, the effect of plasma tryptophan on PAG functional connectivity (PAG-FC) in migraine has not been investigated yet. In this study, using a matched case-control design PAG-FC was measured during a resting-state functional magnetic resonance imaging session in migraine without aura patients (n = 27) and healthy controls (n = 27), and its relationship with plasma tryptophan concentration (TRP) was assessed. In addition, correlations of PAG-FC with age at migraine onset, migraine frequency, trait-anxiety and depressive symptoms were tested and the effect of TRP on these correlations was explored. Our results demonstrated that migraineurs had higher TRP compared to controls. In addition, altered PAG-FC in regions responsible for fear-cascade and pain modulation correlated with TRP only in migraineurs. There was no significant correlation in controls. It suggests increased sensitivity to TRP in migraine patients compared to controls. Trait-anxiety and depressive symptoms correlated with PAG-FC in migraine patients, and these correlations were modulated by TRP in regions responsible for emotional aspects of pain processing, but TRP did not interfere with processes that contribute to migraine attack generation or attack frequency.

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Section: Methodsmentioning

confidence: 99%

Association of plasma tryptophan concentration with periaqueductal gray matter functional connectivity in migraine patients

Gecse

Dobos

Aranyi

et al. 2022

Sci Rep

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“…Plasma concentrations of 28 amino acids were identified using LC/MS with isotope internal standard method by Beijing Emino Medical Research (Beijing, China). This method is accurate, reliable, and highly reproducible (33,34). The main instruments used were as follows: the liquid phase model was an HPLC Ultimate3000 (Dionex Liquid Factory, CA, USA), and the mass spectrometer model was a 3200 Q TRAP LC-MS/MS (AB Company, CA, USA).…”

Section: Detection Methodsmentioning

confidence: 99%

Metabolic Syndrome and Its Components Are Associated With Altered Amino Acid Profile in Chinese Han Population

Sun

Luo

et al. 2022

Front. Endocrinol.

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ObjectiveRecent studies have found that the levels of plasma amino acids, such as branched-chain amino acids and aromatic amino acids, were associated with visceral obesity, insulin resistance, future development of diabetes and cardiovascular diseases. However, few studies have involved a Chinese Han population. This study aimed to examine the association between amino acid profile and metabolic syndrome (MetS) and its components in the Chinese Han population.MethodsThis is a cross-sectional study, which enrolled a cohort of 473 participants from a community. We employed the isotope internal standard method to determine the plasma concentrations of 28 amino acids using high-performance liquid chromatography-tandem mass spectrometry (LC/MS). Participants were divided into MetS (n = 72) and non-MetS groups (n = 401) to analyze the association between amino acids and MetS and its components.ResultsThe prevalence of MetS was 15.2% according to the criteria. Plasma concentrations of isoleucine (Ile), leucine (Leu), valine (Val), tyrosine (Tyr), tryptophan (Trp), phenylalanine (Phe), glutamic acid (Glu), aspartic acid (Asp), alanine (Ala), histidine (His), methionine (Met), asparagine (Asn), and proline (Pro) were significantly higher in the MetS group than those in the non-MetS group (P < 0.05), but taurine (Tau) was significantly lower (P < 0.05). When MetS components were increased, the concentrations of these 13 amino acids significantly increased (P < 0.05), but Tau concentration was significantly decreased (P < 0.05). We extracted the amino acid profile by principal component analysis (PCA), PC1 and PC2, which extracted from the 14 amino acids, were significantly associated with MetS (odds ratio, 95% confidence interval: 1.723, 1.325–2.085 and 1.325, 1.043–1.684, respectively). A total of 260 non-MetS participants were followed up effectively, and 42 participants developed new-onset MetS within 5 years. We found that the amino acid profile of PC1 was linked to the occurrence of future MetS. Decreased Tau was correlated with the future development of MetS.ConclusionParticipants with MetS exhibit an abnormal amino acid profile, and its components gradually increase when these amino acids are altered. Amino acid PCA profile can be employed for assessing and monitoring MetS risk. Finally, decreased Tau may be linked to the future development of MetS.

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“…First, from an analytical perspective, characterisation of bioactive food ingredients requires expensive and specialized instrumentation and methods to identify, quantify and biochemically characterise FFIs and, therefore, quality control standards need to be established. Numerous compound-specific bioanalytical methods and assays have been developed for the micronutrient classes of vitamins (Mitić et al, 2011;Nannapaneni et al, 2017;Zhang et al, 2019), essential fatty (Ichihara et al, 1996;Birjandi et al, 2014;Dołowy and Pyka, 2015) and amino acids (Fonseca et al, 2018;Virág et al, 2020) and minerals (trace elements) (Carapelli et al, 2020;Tempesta et al, 2020). While those methods have proven to be precise, they typically represent "one-off" methods, and are neither versatile nor high-throughput (Höller et al, 2018).…”

Section: Characterisation Of Functional Foodmentioning

confidence: 99%

Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides

et al. 2021

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Scientific research consistently demonstrates that diseases may be delayed, treated, or even prevented and, thereby, health may be maintained with health-promoting functional food ingredients (FFIs). Consumers are increasingly demanding sound information about food, nutrition, nutrients, and their associated health benefits. Consequently, a nutrition industry is being formed around natural foods and FFIs, the economic growth of which is increasingly driven by consumer decisions. Information technology, in particular artificial intelligence (AI), is primed to vastly expand the pool of characterised and annotated FFIs available to consumers, by systematically discovering and characterising natural, efficacious, and safe bioactive ingredients (bioactives) that address specific health needs. However, FFI-producing companies are lagging in adopting AI technology for their ingredient development pipelines for several reasons, resulting in a lack of efficient means for large-scale and high-throughput molecular and functional ingredient characterisation. The arrival of the AI-led technological revolution allows for the comprehensive characterisation and understanding of the universe of FFI molecules, enabling the mining of the food and natural product space in an unprecedented manner. In turn, this expansion of bioactives dramatically increases the repertoire of FFIs available to the consumer, ultimately resulting in bioactives being specifically developed to target unmet health needs.

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Development, validation and application of LC–MS/MS method for quantification of amino acids, kynurenine and serotonin in human plasma

Cited by 42 publications

References 22 publications

Association of plasma tryptophan concentration with periaqueductal gray matter functional connectivity in migraine patients

Association of plasma tryptophan concentration with periaqueductal gray matter functional connectivity in migraine patients

Metabolic Syndrome and Its Components Are Associated With Altered Amino Acid Profile in Chinese Han Population

Artificial Intelligence in Functional Food Ingredient Discovery and Characterisation: A Focus on Bioactive Plant and Food Peptides

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