Effect of L-Carnitine on Amino Acid Metabolism in Elderly Patients Undergoing Regular Hemodialysis

Kido, Jun; Inoue, H.; Shimotsu, Hiroshi; Yoshida, Yutaka; Suzuki, Yosuke; Nakamura, Kimitoshi; Endo, Fumio; Matsumoto, Shirou

doi:10.1159/000505609

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…The decrease of L-carnitine in the serum of patients with pSS indicates that the lipid metabolism pathway may have been altered. Supplementation with L-carnitine increases blood acylcarnitine levels, enhances fatty acid metabolism, and improves disorders of lipid metabolism, especially at doses above 1,500 mg/day ( Wu et al, 2015 ; Asadi et al, 2020 ; Kido et al, 2020 ). Our results showed no difference in L-carnitine levels between patients with SLE and HCs, whereas L-carnitine levels were significantly decreased in pSS patients.…”

Section: Discussionmentioning

confidence: 99%

Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren’s syndrome

Wang

De-sheng

et al. 2022

Front. Mol. Biosci.

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Background: Using machine learning based on metabolomics, this study aimed to construct an effective primary Sjogren’s syndrome (pSS) diagnostics model and reveal the potential targets and biomarkers of pSS.Methods: From a total of 39 patients with pSS and 38 healthy controls (HCs), serum specimens were collected. The samples were analyzed by ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry. Three machine learning algorithms, including the least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (XGBoost), were used to build the pSS diagnosis models. Afterward, four machine learning methods were used to reduce the dimensionality of the metabolomics data. Finally, metabolites with significant differences were screened and pathway analysis was conducted.Results: The area under the curve (AUC), sensitivity, and specificity of LASSO, RF and XGBoost test set all reached 1.00. Orthogonal partial least squares discriminant analysis was used to classify the metabolomics data. By combining the results of the univariate false discovery rate and the importance of the variable in projection, we identified 21 significantly different metabolites. Using these 21 metabolites for diagnostic modeling, the AUC, sensitivity, and specificity of LASSO, RF, and XGBoost all reached 1.00. Metabolic pathway analysis revealed that these 21 metabolites are highly correlated with amino acid and lipid metabolisms. On the basis of 21 metabolites, we screened the important variables in the models. Further, five common variables were obtained by intersecting the important variables of three models. Based on these five common variables, the AUC, sensitivity, and specificity of LASSO, RF, and XGBoost all reached 1.00.2-Hydroxypalmitic acid, L-carnitine and cyclic AMP were found to be potential targets and specific biomarkers for pSS.Conclusion: The combination of machine learning and metabolomics can accurately distinguish between patients with pSS and HCs. 2-Hydroxypalmitic acid, L-carnitine and cyclic AMP were potential targets and biomarkers for pSS.

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Section: Discussionmentioning

confidence: 99%

Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren’s syndrome

Wang

De-sheng

et al. 2022

Front. Mol. Biosci.

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“…A total of 56 patients with PIH (average age [23][24][25][26][27][28][29][30][31][32][33][34][35] who were admitted between September 2010 and August 2012 to the Sixth Affiliated Hospital of Sun Yat-sen University were selected as the case group, and 59 normal pregnant women who were hospitalized or delivered in the hospital during the same period were selected as the control group. The heel Blood samples from the infants' heels were collected the 3 days after birth and 30 minutes after feeding.…”

Section: Data Collectionmentioning

confidence: 99%

“…Acyl carnitine is essential for intracellular energy metabolism, and characteristic changes in one or more acyl carnitines indicate the presence of a fatty acidoxidative metabolism disorder. Kido et al (32) found that an increased level of acyl carnitine in the blood promoted fatty acids' metabolism, affected the metabolism of amino acids, and facilitated the production of energy of the heart and skeletal muscles. Scalais et al (33) found that reduced levels of long-chain acyl carnitine led to cardiomyopathy, hepatic encephalopathy, severe hypoglycemia with low ketone, or sudden death.…”

Section: Effects Of Fatty Acid Changes On Tissue and Organ Functionsmentioning

confidence: 99%

The influence of pregnancy-induced hypertension syndrome on the metabolism of newborns

Cai

et al. 2021

Transl Pediatr

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Background: Pregnancy-induced hypertension (PIH) is associated with an increased number of neonatal complications, but its impact on neonatal metabolism remains unclear. This study aimed to investigate the differential metabolomics of infants born to mothers with and without PIH.Methods: Blood samples of a total of 115 infants born to mothers with (n=56) and without (n=59) PIH were collected and assigned to two groups, respectively, from the neonatal department of Sixth Affiliated Hospital of Sun Yat-Sen University. A tandem mass spectrometer was used to generate metabolic profiling of amino acid, free carnitine, and acyl-carnitines. The resulting data were analyzed using orthogonal partial least squares discriminant analysis based on the difference between infants born to mothers with or without PIH.Results: A significant relationship was observed between the two groups (with and without PIH) in the metabolic fingerprint. According to the pattern recognition analysis combined with variance importance, 25 metabolites with high importance were found. The top ten substances were selected for analysis. Compared with infants born to mothers without PIH, glycine levels increased, and C14DC, C22, C4DC, C5:1, C6DC, C5-OH, proline, C14-OH, and C20 decreased in infants born to mothers with PIH.Conclusions: Using liquid chromatography (LC)-MS/MS metabolomics, a significant relationship was detected between neonatal metabolism and maternal hypertension. It is important to correct the subsequent infantile metabolic disorder by balancing the biomarker metabolites and suppling adequate nutrition to improve the health and growth of newborns of PIH mothers.

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“…l-carnitine supplementation in elderly hemodialyzed patients with end-stage kidney disorder increased amino acid metabolism, fatty acid metabolism, blood acy l-carnitine levels, and energy production in skeletal and heart muscles [105]. Others found 50 mg/kg l-carnitine for 6 to 10 months in children treated with hemodialysis pediatric at 18 years of age by reduction of parathyroid hormone level, which led to maintained bone density and decreased bone resorption [106].…”

Section: Clinical Trialmentioning

confidence: 99%

The Nutraceutical Value of Carnitine and Its Use in Dietary Supplements

Durazzo¹,

Lucarini²,

Nazhand

et al. 2020

Molecules

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Carnitine can be considered a conditionally essential nutrient for its importance in human physiology. This paper provides an updated picture of the main features of carnitine outlining its interest and possible use. Particular attention has been addressed to its beneficial properties, exploiting carnitine’s properties and possible use by considering the main in vitro, in animal, and human studies. Moreover, the main aspects of carnitine-based dietary supplements have been indicated and defined with reference to their possible beneficial health properties.

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Effect of L-Carnitine on Amino Acid Metabolism in Elderly Patients Undergoing Regular Hemodialysis

Cited by 4 publications

References 25 publications

Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren’s syndrome

Machine learning based on metabolomics reveals potential targets and biomarkers for primary Sjogren’s syndrome

The influence of pregnancy-induced hypertension syndrome on the metabolism of newborns

The Nutraceutical Value of Carnitine and Its Use in Dietary Supplements

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