Plasma levels of amino acids and hypermetabolism in patients with chronic obstructive pulmonary disease

Yoneda, Takahiro; Yoshikawa, Masayuki; Fu, Akihiro; Tsukaguchi, Katsuhiko; Okamoto, Yukinori; Takenaka, Hiroyuki

doi:10.1016/s0899-9007(00)00509-8

Cited by 69 publications

(69 citation statements)

References 17 publications

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“…The present study also showed that levels of plasma BCAA were within normal limits. One previous study (Yoneda et al, 2001) demonstrated that decreased concentrations of BCAAs in COPD are specifically related to weight loss and decreased muscle mass. Our previous (Kutsuzawa et al, 2009) and present studies have shown that the concentration of BCAAs correlated or tended to correlate with BMI (r=0.54488, r=0.6099), respectively, so nutritional status relates to a low BCAA concentration.…”

Section: Plasma Bcaa Profile In Copdmentioning

confidence: 98%

“…Several investigators have reported that the amino acid profile is altered in the plasma and skeletal muscle of patients with COPD (Engelen et al, 2000b;Hoffored et al, 1990;Pouw et al, 1998;Yoneda et al, 2001). Most of these studies have shown that plasma concentrations of the BCAAs leucine, isoleucine, and valine are reduced (Engelen et al, 2000b;Hoffored et al, 1990;Yoneda et al, 2001).…”

Section: Magnetic Resonance Spectroscopy 124mentioning

confidence: 99%

“…Most of these studies have shown that plasma concentrations of the BCAAs leucine, isoleucine, and valine are reduced (Engelen et al, 2000b;Hoffored et al, 1990;Yoneda et al, 2001). Yoneda et al (Yoneda et al, 2001) demonstrated that decreased concentrations of BCAAs in COPD are specifically related to weight loss and decreased muscle mass.…”

Section: Magnetic Resonance Spectroscopy 124mentioning

confidence: 99%

“…Several studies have investigated plasma amino acid profiles in COPD patients (Engelen et al, 2000b;Hoffored et al, 1990;Pouw et al, 1998;Yoneda et al, 2001). No specific plasma amino acid profile has been identified, probably due to the heterogeneity of disease stages in COPD (for example, severity of airflow limitation, hypoxemia, and malnutrition).…”

Section: Plasma Bcaa Profile In Copdmentioning

confidence: 99%

“…No specific plasma amino acid profile has been identified, probably due to the heterogeneity of disease stages in COPD (for example, severity of airflow limitation, hypoxemia, and malnutrition). One study of Japanese patients with COPD (Yoneda et al, 2001) found that concentrations of glutamic acid and glutamine were elevated, whereas those of BCAAs were decreased except for leucine. We have previously investigated plasma amino acid levels in fasting venous blood among COPD patients and age-matched healthy subjects, revealing that plasma glutamine was elevated without overall changes in BCAAs (Kutsuzawa et al, 2009).…”

Section: Plasma Bcaa Profile In Copdmentioning

confidence: 99%

See 4 more Smart Citations

Acute Effects of Branched-Chain Amino Acid Ingestion on Muscle pH during Exercise in Patients with Chronic Obstructive Pulmonary Disease

Kutsuzawa¹,

Kurita²,

Haida³

2012

Magnetic Resonance Spectroscopy

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Section: Plasma Bcaa Profile In Copdmentioning

confidence: 98%

Section: Magnetic Resonance Spectroscopy 124mentioning

confidence: 99%

Section: Magnetic Resonance Spectroscopy 124mentioning

confidence: 99%

Section: Plasma Bcaa Profile In Copdmentioning

confidence: 99%

Section: Plasma Bcaa Profile In Copdmentioning

confidence: 99%

See 3 more Smart Citations

Acute Effects of Branched-Chain Amino Acid Ingestion on Muscle pH during Exercise in Patients with Chronic Obstructive Pulmonary Disease

Kutsuzawa¹,

Kurita²,

Haida³

2012

Magnetic Resonance Spectroscopy

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Automated precolumn derivatization system for analyzing physiological amino acids by liquid chromatography/mass spectrometry

Shimbo

Kubo

Harada

et al. 2009

Biomedical Chromatography

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An automated method for high-throughput amino acid analysis, using precolumn derivatization high-performance liquid chromatography/electrospray mass spectrometry (HPLC/ESI-MS), was developed and evaluated. The precolumn derivatization step was performed in the reaction port of a home-built auto-sampler system. Amino acids were derivatized with 3-aminopyridyl-N-hydroxysuccinimidyl carbamate, and a 3 microm Wakosil-II 3C8-100HG column (100 x 2.1 mm i.d.) was used for separation. To achieve a 13 min cycle for each sample, the derivatization and separation steps were performed in parallel. The results of the method evaluation, including the linearity, and the intra- and inter-precision, were sufficient to measure physiological amino acids in human plasma samples. The relative standard deviations of typical amino acids in actual human plasma samples were below 10%.

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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least‐squares support vector machine

Zheng

Dong

et al. 2020

Clinical Laboratory Analysis

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Objective Development of biofluid‐based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD. Methods In this study, we investigated serum metabolic features between COPD patients (n = 54) and normal individuals (n = 74) using a 1H NMR‐based metabolomics approach and developed an integrated method of least‐squares support vector machine (LS‐SVM) and serum metabolic biomarkers to assist COPD diagnosis. Results We observed a hypometabolic state in serum of COPD patients, as indicated by decreases in N‐acetyl‐glycoprotein (NAG), lipoprotein (LOP, mainly LDL/VLDL), polyunsaturated fatty acid (pUFA), glucose, alanine, leucine, histidine, valine, and lactate. Using an integrated method of multivariable and univariate analyses, NAG and LOP were identified as two important metabolites for distinguishing between COPD patients and controls. Subsequently, we developed a LS‐SVM classifier using these two markers and found that LS‐SVM classifiers with linear and polynomial kernels performed better than the classifier with RBF kernel. Linear and polynomial LS‐SVM classifiers can achieve the total accuracy rates of 80.77% and 84.62% and the AUC values of 0.87 and 0.90 for COPD diagnosis, respectively. Conclusions This study suggests that artificial intelligence integrated with serum metabolic biomarkers has a great potential for auxiliary diagnosis of COPD.

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Plasma levels of amino acids and hypermetabolism in patients with chronic obstructive pulmonary disease

Cited by 69 publications

References 17 publications

Acute Effects of Branched-Chain Amino Acid Ingestion on Muscle pH during Exercise in Patients with Chronic Obstructive Pulmonary Disease

Acute Effects of Branched-Chain Amino Acid Ingestion on Muscle pH during Exercise in Patients with Chronic Obstructive Pulmonary Disease

Automated precolumn derivatization system for analyzing physiological amino acids by liquid chromatography/mass spectrometry

Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least‐squares support vector machine

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