Correlation of serum N-Acetylneuraminic acid with the risk and prognosis of acute coronary syndrome: a prospective cohort study

Li, Miaonan; Shaohuan, Qian; Yao, Zhuoya; Ming, Sheng-Ping; Shi, Xiaojun; Kang, Ping-Fang; Zhang, Ning-Ru; Wang, Xiaojing; Da-sheng, Gao; Gao, Qing; Zhang, Heng; Wang, Hongju

doi:10.1186/s12872-020-01690-z

Cited by 18 publications

(13 citation statements)

References 39 publications

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“…N -acetylneuraminic acid was associated with myocardial infarction 19 . Given that there were associations between cardiovascular complications and retinal 8 , 20 or renal 7 complication of persons with T2D, N -acetylneuraminic acid could contribute to the shared etiology among the cardiovascular, retinal, and renal complications of persons with T2D.…”

Section: Discussionmentioning

confidence: 97%

Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes

et al. 2023

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Background Type 2 diabetes is a common disease around the world and its major complications are diabetic retinopathy (DR) and diabetic kidney disease (DKD). Persons with type 2 diabetes with complications, especially who have both DR and DKD, have poorer prognoses than those without complications. Therefore, prevention and early identification of the complications of type 2 diabetes are necessary to improve the prognosis of persons with type 2 diabetes. The aim of this study is to identify factors associated with the development of multiple complications of type 2 diabetes. Methods We profiled serum metabolites of persons with type 2 diabetes with both DR and DKD (N = 141) and without complications (N = 159) using a comprehensive non-targeted metabolomics approach with mass spectrometry. Based on the serum metabolite profiles, case–control comparisons and metabolite set enrichment analysis (MSEA) were performed. Results Here we show that five metabolites (cyclohexylamine, P = 4.5 × 10−6; 1,2-distearoyl-glycero-3-phosphocholine, P = 7.3 × 10−6; piperidine, P = 4.8 × 10−4; N-acetylneuraminic acid, P = 5.1 × 10−4; stearoyl ethanolamide, P = 6.8 × 10−4) are significantly increased in those with the complications. MSEA identifies fatty acid biosynthesis as the type 2 diabetes complications-associated biological pathway (P = 0.0020). Conclusions Our metabolome analysis identifies the serum metabolite features of the persons with type 2 diabetes with multiple complications, which could potentially be used as biomarkers.

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Section: Discussionmentioning

confidence: 97%

Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes

et al. 2023

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“…Finally, Neu5Ac is the most widespread form of sialic acids and is a family of compounds with a broad range of implications in human physiology (30). Because Neu5Ac concentrations have been correlated with the development of cardiovascular disease via RhoA signaling pathway activation (31,32), the fact that we found higher Neu5Ac concentrations associated with COVID-19 provides a new pathway possibly linked to the excess risk of cardiovascular diseases associated with SARS-CoV-2.…”

Section: Discussionmentioning

confidence: 68%

Metabolic snapshot of plasma samples reveals new pathways implicated in SARS-CoV-2 pathogenesis

Albóniga

Jiménez

Sánchez-Conde

et al. 2021

Preprint

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Despite of the scientific and human efforts to understand COVID-19, there are questions still unanswered. Variations in the metabolic reaction to SARS-CoV-2 infection could explain the striking differences in the susceptibility to infection and the risk of severe disease. Here, we used untargeted metabolomics to examine novel metabolic pathways related to SARS-CoV-2 susceptibility and COVID-19 clinical severity using capillary electrophoresis coupled to a time-of-flight mass spectrometer (CE-TOF-MS) in plasma samples. We included 27 patients with confirmed COVID-19 early after symptom onset who were prospectively followed and 29 healthcare workers heavily exposed to SARS-CoV-2 but with low susceptibility to infection (‘nonsusceptible’). We found that the metabolite profile was predictive of the study group. We identified a total of 55 metabolites as biomarkers of SARS-CoV-2 susceptibility or COVID-19 clinical severity. We report the discovery of new plasma biomarkers for COVID-19 that provide mechanistic explanations for the clinical consequences of SARS-CoV-2, including mitochondrial and liver dysfunction as a consequence of hypoxemia (citrulline, citrate, and BAIBA), energy production and amino acid catabolism (L-glycine, L-alanine, L-serine, L-proline, L-aspartic acid and L-histidine), endothelial dysfunction and thrombosis (citrulline, L-ADMA, 2-AB, and Neu5Ac), and we found interconnections between these pathways. In summary, in this first report of the metabolomic profile of individuals with severe COVID-19 and SARS-CoV-2 susceptibility by CE-MS, we define several metabolic pathways implicated in SARS-CoV-2 susceptibility and COVID-19 clinical progression that could be developed as biomarkers of COVID-19.

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“…Browning et al have demonstrated that elevated sialic acid was positively associated with the metabolic syndrome, independent of BMI in women [ 46 ]. Other studies indicate that elevated levels of Neu5Ac during coronary artery disease progression as well as myocardial injury [ 47 , 48 ]. Furthermore, the GALT gene, which is upregulated in OBM, encodes the enzyme galactose-1-phosphate uridylyltransferase, responsible for converting ingested galactose to glucose.…”

Section: Discussionmentioning

confidence: 99%

An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study

et al. 2023

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Objectives To examine the hypothesis that obesity complicated by the metabolic syndrome, compared to uncomplicated obesity, has distinct molecular signatures and metabolic pathways. Methods We analyzed a cohort of 39 participants with obesity that included 21 with metabolic syndrome, age-matched to 18 without metabolic complications. We measured in whole blood samples 754 human microRNAs (miRNAs), 704 metabolites using unbiased mass spectrometry metabolomics, and 25,682 transcripts, which include both protein coding genes (PCGs) as well as non-coding transcripts. We then identified differentially expressed miRNAs, PCGs, and metabolites and integrated them using databases such as mirDIP (mapping between miRNA-PCG network), Human Metabolome Database (mapping between metabolite-PCG network) and tools like MetaboAnalyst (mapping between metabolite-metabolic pathway network) to determine dysregulated metabolic pathways in obesity with metabolic complications. Results We identified 8 significantly enriched metabolic pathways comprising 8 metabolites, 25 protein coding genes and 9 microRNAs which are each differentially expressed between the subjects with obesity and those with obesity and metabolic syndrome. By performing unsupervised hierarchical clustering on the enrichment matrix of the 8 metabolic pathways, we could approximately segregate the uncomplicated obesity strata from that of obesity with metabolic syndrome. Conclusions The data suggest that at least 8 metabolic pathways, along with their various dysregulated elements, identified via our integrative bioinformatics pipeline, can potentially differentiate those with obesity from those with obesity and metabolic complications.

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Correlation of serum N-Acetylneuraminic acid with the risk and prognosis of acute coronary syndrome: a prospective cohort study

Cited by 18 publications

References 39 publications

Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes

Identification of serum metabolome signatures associated with retinal and renal complications of type 2 diabetes

Metabolic snapshot of plasma samples reveals new pathways implicated in SARS-CoV-2 pathogenesis

An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study

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