Evaluation of amino acid profile in serum of patients with Covid-19 for providing a new treatment strategy

Öztürk, Ali; Bayraktar, Nihayet; Bayraktar, Mustafa; İbrahim, Bashar; Bozok, Taylan; Ceylan, Mehmet Reşat

doi:10.5937/jomb0-37514

Cited by 8 publications

(18 citation statements)

References 37 publications

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“…In addition, levels of tyrosine, adenosine, histidine, creatinine, TMP, proline, threonine, cytosine, SDMA, SAH, nicotinamide were consistently altered as the severity of COVID-19 infection progressed, which is consistent with the data on the correlation of tyrosine biosynthesis pathways with the severity of COVID-19 infection 17 [17], as well as the relationship between the severe course of COVID-19 and levels of such amino acids as phenylalanine, proline, valine, valine, glutamate, glutamine, tryptophan, histidine, alanine, leucine, isoleucine, cysteine 18,19 .…”

Section: Resultssupporting

confidence: 88%

“…COVID-19 can infect human intestinal cells and also replicate in intestinal epithelial cell lines and organoid models of human colon, thus participating in the spread of COVID-19 with increased viremia 20 . A study of differences in plasma amino acid levels between the acute and convalescent stages in people with community-acquired pneumonia showed that plasma levels of arginine and citrulline decreased 19 , which is consistent with our findings.…”

Section: Discussionsupporting

confidence: 92%

“…Impaired synthesis and metabolism of arginine, threonine, ornithine, citrulline and alanine in COVID-19 patients, especially under hypoxic conditions, has been reported in many studies 9,11,16,19 . Decreased serum levels of glutamate, citrulline, ornithine, glutamine, urea, fumarate, ADMA and SDMA in COVID-19 patients were associated with liver dysfunction 14 .…”

Section: Discussionmentioning

confidence: 93%

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Amino acid profiling of COVID-19 patients blood serum

Russkikh,

Sushentseva,

Popov

et al. 2024

Preprint

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Main objectives of this study were to analyse metabolomic profile features of patients with COVID-19 using mass spectrometry techniques while taking into account the clinical and laboratory history, and to study the relationship between the severity of COVID-19 symptoms and the concentration of primary metabolites, primarily amino acids. We used frozen blood serum samples of 935 COVID-19 patients from the City Hospital No. 40 biobank collection. Metabolomic profile was studied by HPLS-MS/MS method. R programming language was used for statistical data processing. The difference of metabolic profile of patients with COVID-19 depending on the severity of the disease was revealed based on the performed analysis - for 52 out of 84 detected compounds there were differences with reliability p<0,01. Statistically significant differences in concentration were recorded for organic acids, amino acids and their derivatives. Using samples from the biobank collection, a metabolomic study of the biomaterial of patients hospitalised with the diagnosis of COVID-19 was carried out. According to the results obtained, kynurenine, phenylalanine and acetylcarnitine were associated with the severity of COVID-19 infection.

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Section: Resultssupporting

confidence: 88%

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 93%

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Amino acid profiling of COVID-19 patients blood serum

Russkikh,

Sushentseva,

Popov

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The findings demonstrated that saliva presented a similar metabolism shift in plasma [ 32 , 33 ]. Although the dysregulation in COVID-19 patients still needs elucidation, evidence suggests that these amino acid pathways are altered due to the inflammatory response [ 34 ] mediated by biochemical and metabolic pathways related to this disease [ 35 , 36 ]. The change in amino acid rates plays a role in the development of several diseases; metabolomic studies in recent years have shown significant differences in these levels.…”

Section: Discussionmentioning

confidence: 99%

Salivary Metabolomic Analysis Reveals Amino Acid Metabolism Shift in SARS-CoV-2 Virus Activity and Post-Infection Condition

et al. 2023

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The SARS-CoV-2 virus primarily infects salivary glands suggesting a change in the saliva metabolite profile; this shift may be used as a monitoring instrument during SARS-CoV-2 infection. The present study aims to determine the salivary metabolomic profile of patients with and post-SARS-CoV-19 infection. Patients were without (PCR−), with SARS-CoV-2 (PCR+), or post-SARS-CoV-2 infection. Unstimulated whole saliva was collected, and the 1H spectra were acquired in a 500 MHz Bruker nuclear magnetic resonance spectrometer at 25 °C. They were subjected to multivariate analysis using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), as well as univariate analysis through t-tests (SPSS 20.0, IL, USA), with a significance level of p < 0.05. A distinction was found when comparing PCR− subjects to those with SARS-CoV-2 infection. When comparing the three groups, the PLS-DA cross-validation presented satisfactory accuracy (ACC = 0.69, R2 = 0.39, Q2 = 0.08). Seventeen metabolites were found in different proportions among the groups. The results suggested the downregulation of major amino acid levels, such as alanine, glutamine, histidine, leucine, lysine, phenylalanine, and proline in the PCR+ group compared to the PCR− ones. In addition, acetate, valerate, and capronic acid were higher in PCR− patients than in PCR+. Sucrose and butyrate were higher in post-SARS-CoV-2 infection compared to PCR−. In general, a reduction in amino acids was observed in subjects with and post-SARS-CoV-2 disease. The salivary metabolomic strategy NMR-based was able to differentiate between non-infected individuals and those with acute and post-SARS-CoV-19 infection.

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“…Metabolomic syndrome has been linked to severe outcomes in COVID-19 [2][3][4], and the underlying metabolic changes induced by this massive proinflammatory infection may have ongoing relevance to other acute viral and bacterial respiratory diseases. Previous metabolomics analyses have attempted to identify at-risk individuals by comparing hospitalized patients with COVID-19 to COVID-negative controls who may or may not be hospitalized for other conditions [5][6][7][8]. The few studies that matched our own report relative concentrations [9,10], or metabolite ratios [11].…”

Section: Introductionmentioning

confidence: 99%

Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers

Yang,

Kang,

Guan

et al. 2023

Metabolites

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Metabolic disease is a significant risk factor for severe COVID-19 infection, but the contributing pathways are not yet fully elucidated. Using data from two randomized controlled trials across 13 U.S. academic centers, our goal was to characterize metabolic features that predict severe COVID-19 and define a novel baseline metabolomic signature. Individuals (n = 133) were dichotomized as having mild or moderate/severe COVID-19 disease based on the WHO ordinal scale. Blood samples were analyzed using the Biocrates platform, providing 630 targeted metabolites for analysis. Resampling techniques and machine learning models were used to determine metabolomic features associated with severe disease. Ingenuity Pathway Analysis (IPA) was used for functional enrichment analysis. To aid in clinical decision making, we created baseline metabolomics signatures of low-correlated molecules. Multivariable logistic regression models were fit to associate these signatures with severe disease on training data. A three-metabolite signature, lysophosphatidylcholine a C17:0, dihydroceramide (d18:0/24:1), and triacylglyceride (20:4_36:4), resulted in the best discrimination performance with an average test AUROC of 0.978 and F1 score of 0.942. Pathways related to amino acids were significantly enriched from the IPA analyses, and the mitogen-activated protein kinase kinase 5 (MAP2K5) was differentially activated between groups. In conclusion, metabolites related to lipid metabolism efficiently discriminated between mild vs. moderate/severe disease. SDMA and GABA demonstrated the potential to discriminate between these two groups as well. The mitogen-activated protein kinase kinase 5 (MAP2K5) regulator is differentially activated between groups, suggesting further investigation as a potential therapeutic pathway.

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Evaluation of amino acid profile in serum of patients with Covid-19 for providing a new treatment strategy

Cited by 8 publications

References 37 publications

Amino acid profiling of COVID-19 patients blood serum

Amino acid profiling of COVID-19 patients blood serum

Salivary Metabolomic Analysis Reveals Amino Acid Metabolism Shift in SARS-CoV-2 Virus Activity and Post-Infection Condition

Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers

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