Alteration in plasma free amino acid levels and its association with gout

Mahbub, MH; Yamaguchi, Natsu; Takahashi, Hidekazu; Hase, Ryosuke; Amano, Hiroki; Kobayashi-Miura, Mikiko; Kanda, Hideyuki; Fujita, Yasuyuki; Yamamoto, Hiroshi; Yamamoto, Masato; Kikuchi, Shinichi; Ikeda, Atsuko; Kageyama, Naoko; Nakamura, Mina; Ishimaru, Yasutaka; Saito, Hiroshi; Tanabe, Tsuyoshi

doi:10.1186/s12199-017-0609-8

Cited by 28 publications

(32 citation statements)

References 27 publications

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“…Certain amino acids participate in the biosynthesis of purine and the subsequent formation of UA 23 . In this context, we recently showed that plasma levels of several branched chain amino acids (BCAAs) and aromatic amino acids (AAAs) had significant positive associations with gout, a disease with elevated levels of UA in the blood 24 .…”

Section: Introductionmentioning

confidence: 99%

Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome

Mahbub

Yamaguchi

Takahashi

et al. 2017

Sci Rep

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Previous studies demonstrated independent contributions of plasma free amino acids (PFAAs) and high uric acid (UA) concentrations to increased risks of lifestyle-related diseases (LSRDs), but the important associations between these factors and LSRDs remain unknown. We quantified PFAAs and UA amongst Japanese subjects without LSRDs (no-LSRD, n = 2805), and with diabetes mellitus (DM, n = 415), dyslipidemia (n = 3207), hypertension (n = 2736) and metabolic syndrome (MetS, n = 717). The concentrations of most amino acids differed significantly between the subjects with and without hyperuricemia (HU) and also between the no-LSRD and LSRD groups (p < 0.05 to 0.001). After adjustment, the logistic regression analyses revealed that lysine in DM, alanine, proline and tyrosine in dyslipidemia, histidine, lysine and ornithine in hypertension, and lysine and tyrosine in MetS demonstrated significant positive associations with HU among the patients with LSRDs only (p < 0.05 to 0.005). By contrast, arginine, asparagine and threonine showed significant inverse associations with HU in the no-LSRD group only (p < 0.05 to 0.01). For the first time, we provide evidence for distinct patterns of association between PFAAs and HU in LSRDs, and postulate the possibility of interplay between PFAAs and UA in their pathophysiology.

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Section: Introductionmentioning

confidence: 99%

Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome

Mahbub

Yamaguchi

Takahashi

et al. 2017

Sci Rep

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“…Glycine has been reported to negatively correlate with gout in other metabolic studies 26 . It is involved in purine metabolism and is a precursor of uric acid 26 .…”

Section: Resultsmentioning

confidence: 84%

A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study

Altenbuchinger

Zacharias

Solbrig

et al. 2019

Sci Rep

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Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To this end, omics data are integrated with other data types, e.g., clinical, phenotypic, and demographic parameters of categorical or continuous nature. We exemplify this data integration issue for a chronic kidney disease (CKD) study, comprising complex clinical, demographic, and one-dimensional 1H nuclear magnetic resonance metabolic variables. Routine analysis screens for associations of single metabolic features with clinical parameters while accounting for confounders typically chosen by expert knowledge. This knowledge can be incomplete or unavailable. We introduce a framework for data integration that intrinsically adjusts for confounding variables. We give its mathematical and algorithmic foundation, provide a state-of-the-art implementation, and evaluate its performance by sanity checks and predictive performance assessment on independent test data. Particularly, we show that discovered associations remain significant after variable adjustment based on expert knowledge. In contrast, we illustrate that associations discovered in routine univariate screening approaches can be biased by incorrect or incomplete expert knowledge. Our data integration approach reveals important associations between CKD comorbidities and metabolites, including novel associations of the plasma metabolite trimethylamine-N-oxide with cardiac arrhythmia and infarction in CKD stage 3 patients.

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“…AminoIndex™ technology was originally developed to screen various types of diseases, such as cancer [1,7,15,16], hepatic or renal failure [17], cardiovascular and metabolic disorders [18][19][20], and others [21].…”

Section: Discussionmentioning

confidence: 99%

Preoperative AICS (lung) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer

Higashiyama¹,

Miyazaki²,

Yamamoto³

et al. 2020

Preprint

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[Background] AminoIndexTM Cancer Screening (AICS (lung)) was developed as a screening test for lung cancer using a multivariate analysis of plasma-free amino acid (PFAA) profiles. According to the developed index composed of PFAA, the probability of lung cancer was categorized into AICS (lung) ranks A, B, and C in order of increasing risk. The aim of the present study was to investigate the relationship between the preoperative AICS (lung) rank and surgical outcomes in patients who underwent curative resection for non-small cell lung cancer (NSCLC).[Methods] Preoperative blood samples were collected from 297 patients who underwent curative resection for NSCLC between 2006 and 2015. PFAA concentrations were measured. The relationship between the preoperative AICS (lung) rank and clinicopathological factors was examined. The effects of the preoperative AICS (lung) rank on postoperative outcomes were also analyzed.[Results] The AICS (lung) rank was A in 93 patients (31.3%), B in 82 (27.6%), and C in 122 (41.1%). The AICS (lung) rank did not correlate with any clinicopathological factors, except for age. Based on follow-up data (median follow-up period of 6 years), postoperative recurrence was observed in 22 rank A patients (23.7%), 15 rank B (18.3%) and 49 rank C (40.2%). In the univariate analysis, preoperative AICS (lung) rank C was a worse factor of recurrence-free survival (p=0.0002). The multivariate analysis identified preoperative AICS (lung) rank C (HR: 2.17, p=0.0005) as a significant predictor of postoperative recurrence, particularly in patients with early-stage disease or adenocarcinoma. [Conclusion] Preoperative AICS (lung) abnormalities are a high-risk predictor of postoperative recurrence in NSCLC patients undergoing curative resection.

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Alteration in plasma free amino acid levels and its association with gout

Cited by 28 publications

References 27 publications

Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome

Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome

A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study

Preoperative AICS (lung) abnormalities predict postoperative recurrence in patients undergoing curative resection for non-small cell lung cancer

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