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Comprehensive Metabolomics Identified the Prominent Role of Glycerophospholipid Metabolism in Coronary Artery Disease Progression.

ABSTRACT: Background: Coronary stenosis severity determines ischemic symptoms and adverse outcomes. The metabolomic analysis of human fluids can provide an insight into the pathogenesis of complex disease. Thus, this study aims to investigate the metabolomic and lipidomic biomarkers of coronary artery disease (CAD) severity and to develop diagnostic models for distinguishing individuals at an increased risk of atherosclerotic burden and plaque instability. Methods: Widely targeted metabolomic and lipidomic analyses of plasma in 1,435 CAD patients from three independent centers were performed. These patients were classified as stable coronary artery disease (SCAD), unstable angina (UA), and myocardial infarction (MI). Associations between CAD stages and metabolic conditions were assessed by multivariable-adjusted logistic regression. Furthermore, the least absolute shrinkage and selection operator logistic-based classifiers were used to identify biomarkers and to develop prediagnostic models for discriminating the diverse CAD stages. Results: On the basis of weighted correlation network analysis, 10 co-clustering metabolite modules significantly (p < 0.05) changed at different CAD stages and showed apparent correlation with CAD severity indicators. Moreover, cross-comparisons within CAD patients characterized that a total of 72 and 88 metabolites/lipid species significantly associated with UA (vs. SCAD) and MI (vs. UA), respectively. The disturbed pathways included glycerophospholipid metabolism, and cysteine and methionine metabolism. Furthermore, models incorporating metabolic and lipidomic profiles with traditional risk factors were constructed. The combined model that incorporated 11 metabolites/lipid species and four traditional risk factors represented better discrimination of UA and MI (C-statistic = 0.823, 95% CI, 0.783-0.863) compared with the model involving risk factors alone (C-statistic = 0.758, 95% CI, 0.712-0.810). The combined model was successfully used in discriminating UA and MI patients (p < 0.001) in a three-center validation cohort. Conclusion: Differences in metabolic profiles of diverse CAD subtypes provided a new approach for the risk stratification of unstable plaque and the pathogenesis decipherment of CAD progression.

SUBMITTER: Chen H

PROVIDER: S-EPMC8080796 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:ObjectivesRheumatoid arthritis (RA) is a chronic autoimmune disease with complex causes and recurrent attacks that can easily develop into chronic arthritis and eventually lead to joint deformity. Our study aims to elucidate potential mechanism among control, new-onset RA (NORA) and chronic RA (CRA) with multi-omics analysis.MethodsA total of 113 RA patients and 75 controls were included in our study. Plasma and stool samples were obtained for 16S rRNA sequencing, internally transcribed spacer (ITS) sequencing and metabolomics analysis. And PBMCs were obtained for RNA sequencing. We used three models, logistic regression, least absolute shrinkage and selection operator (LASSO), and random forest, respectively, to distinguish NORA from CRA, and finally we validated model performance using an external cohort of 26 subjects.ResultsOur results demonstrated intestinal flora disturbance in RA development, with significantly increased abundance of Escherichia-Shigella and Proteobacteria in NORA. We also found that the diversity was significantly reduced in CRA compared to NORA through fungi analysis. Moreover, we identified 29 differential metabolites between NORA and CRA. Pathway enrichment analysis revealed significant dysregulation of glycerophospholipid metabolism and phenylalanine metabolism pathways in RA patients. Next, we identified 40 differentially expressed genes between NORA and CRA, which acetylcholinesterase (ACHE) was the core gene and significantly enriched in glycerophospholipid metabolism pathway. Correlation analysis showed a strong negatively correlation between glycerophosphocholine and inflammatory characteristics. Additionally, we applied three approaches to develop disease classifier models that were based on plasma metabolites and gut microbiota, which effectively distinguished between new-onset and chronic RA patients in both discovery cohort and external validation cohort.ConclusionsThese findings revealed that glycerophospholipid metabolism plays a crucial role in the development and progression of RA, providing new ideas for early clinical diagnosis and optimizing treatment strategies.

Project description:IntroductionMetabolomics has emerged as a valuable tool to discover novel biomarkers and study the pathophysiology of diabetic nephropathy (DN). However, the effect of postoperative acute kidney injury (AKI) on diabetes mellitus (DM) to chronic DN progression has not been evaluated from the perspective of metabolomics.MethodsA group of type 2 diabetes mellitus (T2DM) inpatients, who underwent off-pump coronary artery bypass grafting (CABG), were enrolled in our study. According to whether postoperative AKI occurred, patients were grouped in either the AKI group (AKI, n = 44) or the non-AKI group (NAKI, n = 44). Urine samples were collected from these patients before and 24 h after operation. Six patients from the AKI group and six patients from the NAKI group were chosen as the pilot cohort for untargeted metabolomics analysis, with the goal of identifying postoperative AKI-related metabolites. To understand the possible role of these metabolites in the chronic development of renal injury among T2DM patients, trans-4-hydroxy-L-proline and azelaic acid were quantified by targeted metabolomics analysis among 38 NAKI patients, 38 AKI patients, 46 early DN patients (DN-micro group), and 34 overt DN patients (DN-macro group).ResultsUntargeted metabolomics screened 61 statistically distinguishable metabolites in postoperative urine samples, compared with preoperative urine samples. Via Venn diagram analysis, nine of 61 were postoperative AKI-related metabolites, including trans-4-hydroxy-L-proline, uridine triphosphate, p-aminobenzoate, caffeic acid, adrenochrome, δ-valerolactam, L-norleucine, 5'-deoxy-5'-(methylthio) adenosine, and azelaic acid. By targeted metabolomics analysis, the level of trans-4-hydroxy-L-proline increased gradually from the NAKI group to the AKI, DN-micro, and DN-macro groups. For azelaic acid, the highest level was found in the NAKI and DN-micro groups, followed by the DN-macro group. The AKI group exhibited the lowest level of azelaic acid.ConclusionsThe detection of urinary trans-4-hydroxy-L-proline after AKI could be treated as an early warning of chronic DN progression and might be linked to renal fibrosis. Urinary azelaic acid can be used to monitor renal function noninvasively in DM and DN patients. Our results identified markers of AKI on DM and the chronic progression of DN. In addition, the progression of DN was associated with AKI-like episodes occurring in DM.

Project description:To date there is no clear explanation as to how Chlamydia pneumoniae heat shock protein 60 (cHSP60) gets activated either through TLR-2/4, MAPKinase (p38/JNK/ERK), apoptotic/antiapoptotic, chemokines and inflammatory cytokines pathways leading to coronary artery disease (CAD). Hence to better understanding towards cHSP60 signaling in CAD patients, we performed experiments at RNA levels in cHSP60 positive and negative groups of CAD patients. For the determination of positivity for C. pneumoniae, Helicobacter pylori, Cytomegalovirus and Herpes Simplex Virus in atheromatous plaque multiplex Real Time PCR was performed. Monoplex Real Time PCR was also performed with 16S rRNA and HSP60 gene Chlamydia pneumoniae. Further study was performed only on cHSP60 positive (negative for H. pylori, CMV & HSV-1) and cHSP60 negative (also negative for H. pylori, CMV & HSV-1) CAD patients. 1. Patients Forty patients (28 males, 12 females) in age group (51Â±13 year) attending Department of Cardio Thoracic & Vascular Surgery, Safdarjung Hospital, New Delhi from September 2007 to April 2008 were enrolled in the study. These patients had manifestations of CAD and were undergoing open by-pass heart surgery. Prior written consent was obtained from each patient. The study received clearance from Ethical committee, Safdarjung hospital. Patients who had a recent acute coronary syndrome or transient ischemic attack were not included in our study. 2. Atheroma collection and handling Atheromatous tissue were collected in aseptic conditions and placed in 30 ml transport medium immediately upon resection. Three types of transport medium were used for tissue: viz. Dulbecco?s phosphate-buffered saline (PBS; Gibco Life Technologies, Paisley, Scotland) for DNA, RNA later (Ambion Inc., Woodward st. Austin, Texas, USA) for RNA and optimum cutting temperature compound (Sigma, St. Louis, MO, USA) for protein. 3. Atheroma DNA & RNA isolation and testing Total DNA was isolated for checking the positivity for C. pneumoniae from atheromatous plaques as described earlier [1]. Total RNA from the atheroma samples were isolated using RNeasy fibrous tissue mini kit (Qiagen Sciences, Maryland, USA) and the concentration was determined by a RNA dye-binding assay (Pico-Green, Molecular Probes, Eugene, OR). For cDNA synthesis, RETRO script (Ambion Inc., Woodward st. Austin, Texas, USA) was used as per manufacturer instructions. For detecting positivity for C. pneumoniae, Helicobacter pylori, Cytomegalovirus and Herpes Simplex Virus in atheromatous plaques, multiplex RT-PCR was performed [as describe in reference 1]. Monoplex RT PCR amplification primers and probes were custom designed by Applied Biosystems (Foster City, CA, USA). Briefly, sequences for the 16S rRNA and HSP60 gene of the organisms of interest were aligned and inspected for regions of conserved and variable sequences. 4. Microarray experiment Further study was performed only on cHSP60 positive (negative for H. pylori, CMV & HSV-1) and cHSP60 negative (also negative for H. pylori, CMV & HSV-1) CAD patients. cHSP60 positive samples represented the test samples and cHSP60 negative samples represented the control samples. 3 samples were analysed: samples 17 and 23 were biological replicates of test samples and also performed in duplicate as technical replicates, and sample 26 was a control sample and was also performed in duplicate as a technical replicate. Reference 1. Hem C Jha, Pragya Srivastava, Aabha Divya , Jagdish Prasad, Aruna Mittal. Prevalence of Chlamydophila pneumoniae is higher in aorta and coronary artery than in carotid artery of coronary artery disease patients. APMIS, 2009: 117 (12): 905-911.

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Comprehensive Metabolomics Identified the Prominent Role of Glycerophospholipid Metabolism in Coronary Artery Disease Progression.

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