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Baciu C, Ghosh S, Naimimohasses S, Rahmani A, Pasini E, Naghibzadeh M, Azhie A, Bhat M. Harnessing Metabolites as Serum Biomarkers for Liver Graft Pathology Prediction Using Machine Learning. Metabolites 2024; 14:254. [PMID: 38786731 PMCID: PMC11122840 DOI: 10.3390/metabo14050254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 05/25/2024] Open
Abstract
Graft injury affects over 50% of liver transplant (LT) recipients, but non-invasive biomarkers to diagnose and guide treatment are currently limited. We aimed to develop a biomarker of graft injury by integrating serum metabolomic profiles with clinical variables. Serum from 55 LT recipients with biopsy confirmed metabolic dysfunction-associated steatohepatitis (MASH), T-cell mediated rejection (TCMR) and biliary complications was collected and processed using a combination of LC-MS/MS assay. The metabolomic profiles were integrated with clinical information using a multi-class Machine Learning (ML) classifier. The model's efficacy was assessed through the Out-of-Bag (OOB) error estimate evaluation. Our ML model yielded an overall accuracy of 79.66% with an OOB estimate of the error rate at 19.75%. The model exhibited a maximum ability to distinguish MASH, with an OOB error estimate of 7.4% compared to 22.2% for biliary and 29.6% for TCMR. The metabolites serine and serotonin emerged as the topmost predictors. When predicting binary outcomes using three models: Biliary (biliary vs. rest), MASH (MASH vs. rest) and TCMR (TCMR vs. rest); the AUCs were 0.882, 0.972 and 0.896, respectively. Our ML tool integrating serum metabolites with clinical variables shows promise as a non-invasive, multi-class serum biomarker of graft pathology.
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Affiliation(s)
| | | | | | | | | | | | | | - Mamatha Bhat
- Ajmera Transplant Program, University Health Network, Toronto, ON M5G 2C4, Canada; (C.B.); (S.G.); (S.N.); (A.R.); (E.P.); (M.N.); (A.A.)
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Anand SK, Governale TA, Zhang X, Razani B, Yurdagul A, Pattillo CB, Rom O. Amino Acid Metabolism and Atherosclerotic Cardiovascular Disease. THE AMERICAN JOURNAL OF PATHOLOGY 2024; 194:510-524. [PMID: 38171450 PMCID: PMC10988767 DOI: 10.1016/j.ajpath.2023.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 11/09/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
Despite significant advances in medical treatments and drug development, atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of death worldwide. Dysregulated lipid metabolism is a well-established driver of ASCVD. Unfortunately, even with potent lipid-lowering therapies, ASCVD-related deaths have continued to increase over the past decade, highlighting an incomplete understanding of the underlying risk factors and mechanisms of ASCVD. Accumulating evidence over the past decades indicates a correlation between amino acids and disease state. This review explores the emerging role of amino acid metabolism in ASCVD, uncovering novel potential biomarkers, causative factors, and therapeutic targets. Specifically, the significance of arginine and its related metabolites, homoarginine and polyamines, branched-chain amino acids, glycine, and aromatic amino acids, in ASCVD are discussed. These amino acids and their metabolites have been implicated in various processes characteristic of ASCVD, including impaired lipid metabolism, endothelial dysfunction, increased inflammatory response, and necrotic core development. Understanding the complex interplay between dysregulated amino acid metabolism and ASCVD provides new insights that may lead to the development of novel diagnostic and therapeutic approaches. Although further research is needed to uncover the precise mechanisms involved, it is evident that amino acid metabolism plays a role in ASCVD.
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Affiliation(s)
- Sumit Kumar Anand
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana
| | - Theresea-Anne Governale
- Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana
| | - Xiangyu Zhang
- Division of Cardiology and Vascular Medicine Institute, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Babak Razani
- Division of Cardiology and Vascular Medicine Institute, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Arif Yurdagul
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana
| | - Christopher B Pattillo
- Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana.
| | - Oren Rom
- Department of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana.
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Zhao S, Li H, Yang F, Yang Y, Zeng Y, An Z, Li J, Wu H, Song J, Wu W. Association of short-term PM 2.5 exposure with airway innate immune response, microbiota and metabolism alterations in human airways. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 345:123435. [PMID: 38295929 DOI: 10.1016/j.envpol.2024.123435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/19/2024] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
Exposure to fine particulate matter (PM2.5) has been associated with impaired airway innate immunity, leading to diverse lung disorders. However, the mechanisms of the adverse effects of PM2.5 on the airway innate immune system has not been adequately elucidated. This study aimed to investigate the association between short-term exposure to ambient PM2.5 and airway innate immune responses. A panel study of 53 undergraduate students was conducted in November 2020 and April 2021. Levels of airway innate immune biomarkers including interleukin-1β (IL-1β), IL-4, IL-6, IL-8, IL-17, interferon-γ (IFN-γ), tumor necrosis factor-α (TNF-α), myeloperoxidase (MPO), and matrix metalloproteinase-9 (MMP-9) in induced sputum were measured, and airway microbiota and metabolites examined. Linear mixed-effect model was used to evaluate the effects of short-term exposure to PM2.5 on the above-listed airway immune biomarkers. The results indicated that for every 10 μg/m3 increase in PM2.5 concentration (at lag3), was associated with an increase of 21.3 % (5.4 %-37.1 %), 26.2 % (0.30 %-52.1 %), 22.4 % (0.70 %-44.2 %), 27.4 % (6.6 %-48.3 %), 18.3 % (4.6 %-31.9 %), 3.9 % (0.20 %-7.6 %) or 2.4 % (0.10 %-4.7 %) in IL-6, TNF-α, IL-17, IL-4, IFN-γ, MPO, or MMP-9 levels, respectively. Meanwhile, exposure to higher levels of ambient PM2.5 was found to significantly modulate airway microbiota and metabolite profile. Specifically, Prevotella and Fusobacterium, as well as 96 different metabolites were associated with PM2.5 levels. The metabolic pathways associated with these metabolites mainly included amino acid biosynthesis and metabolism. Notably, PM2.5 exposure-induced alterations of some airway microbiota were significantly correlated with specific airway metabolic change. Taken together, these results demonstrated that short-term exposure to PM2.5 was associated with alterations of airway immune response, microbial dysbiosis and changes of metabolites. This study provided insights into the mechanisms underlying PM2.5-induced airway innate immune responses.
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Affiliation(s)
- Shuaiqi Zhao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Huijun Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Fuyun Yang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Yishu Yang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Yuling Zeng
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Hui Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China.
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Yadav S, Kumar A, Singh S, Ahmad S, Singh G, Khan AR, Chaurasia RN, Kumar D. NMR based Serum metabolomics revealed metabolic signatures associated with oxidative stress and mitochondrial damage in brain stroke. Metab Brain Dis 2024; 39:283-294. [PMID: 38095788 DOI: 10.1007/s11011-023-01331-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 11/22/2023] [Indexed: 02/02/2024]
Abstract
Brain stroke (BS, also known as a cerebrovascular accident), represents a serious global health crisis. It has been a leading cause of permanent disability and unfortunately, frequent fatalities due to lack of timely medical intervention. While progress has been made in prevention and management, the complexities and consequences of stroke continue to pose significant challenges, especially, its impact on patient's quality of life and independence. During stroke, there is a substantial decrease in oxygen supply to the brain leading to alteration of cellular metabolic pathways, including those involved in mitochondrial-damage, leading to mitochondrial-dysfunction. The present proof-of-the-concept metabolomics study has been performed to gain insights into the metabolic pathways altered following a brain stroke and discover new potential targets for timely interventions to mitigate the effects of cellular and mitochondrial damage in BS. The serum metabolic profiles of 108 BS-patients were measured using 800 MHz NMR spectroscopy and compared with 60 age and sex matched normal control (NC) subjects. Compared to NC, the serum levels of glutamate, TCA-cycle intermediates (such as citrate, succinate, etc.), and membrane metabolites (betaine, choline, etc.) were found to be decreased BS patients, whereas those of methionine, mannose, mannitol, phenylalanine, urea, creatine and organic acids (such as 3-hydroxybutyrate and acetone) were found to be elevated in BS patients. These metabolic changes hinted towards hypoxia mediated mitochondrial dysfunction in BS-patients. Further, the area under receiver operating characteristic curve (ROC) values for five metabolic features (methionine, mannitol, phenylalanine, mannose and urea) found to be more than 0.9 suggesting their high sensitivity and specificity for differentiating BS from NC subjects.
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Affiliation(s)
- Sachin Yadav
- Department of Chemistry, Integral University, Lucknow, 226026, India
| | - Abhai Kumar
- Department of Botany, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, 273009, Uttar Pradesh, India.
| | - Smita Singh
- Department of Zoology, Dayal Upadhyaya Gorakhpur University, Gorakhpur, 273009, Uttar Pradesh, India
| | - Shahnawaz Ahmad
- Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India
| | - Gurvinder Singh
- Centre of Biomedical Research (CBMR), SGPGIMS Campus, Lucknow, 226014, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, Uttar Pradesh, India
| | - Abdul Rahman Khan
- Department of Chemistry, Integral University, Lucknow, 226026, India
| | - Rameshwar Nath Chaurasia
- Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, Uttar Pradesh, India.
| | - Dinesh Kumar
- Centre of Biomedical Research (CBMR), SGPGIMS Campus, Lucknow, 226014, Uttar Pradesh, India.
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Rai MK, Yadav S, Jain A, Singh K, Kumar A, Raj R, Dubey D, Singh H, Guleria A, Chaturvedi S, Khan AR, Nath A, Misra DP, Agarwal V, Kumar D. Clinical metabolomics by NMR revealed serum metabolic signatures for differentiating sarcoidosis from tuberculosis. Metabolomics 2023; 19:92. [PMID: 37940751 DOI: 10.1007/s11306-023-02052-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 09/20/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Pulmonary sarcoidosis (SAR) and tuberculosis (TB) are two granulomatous lung-diseases and often pose a diagnostic challenge to a treating physicians. OBJECTIVE The present study aims to explore the diagnostic potential of NMR based serum metabolomics approach to differentiate SAR from TB. MATERIALS AND METHOD The blood samples were obtained from three study groups: SAR (N = 35), TB (N = 28) and healthy normal subjects (NC, N = 56) and their serum metabolic profiles were measured using 1D 1H CPMG (Carr-Purcell-Meiboom-Gill) NMR spectra recorded at 800 MHz NMR spectrometer. The quantitative metabolic profiles were compared employing a combination of univariate and multivariate statistical analysis methods and evaluated for their diagnostic potential using receiver operating characteristic (ROC) curve analysis. RESULTS Compared to SAR, the sera of TB patients were characterized by (a) elevated levels of lactate, acetate, 3-hydroxybutyrate (3HB), glutamate and succinate (b) decreased levels of glucose, citrate, pyruvate, glutamine, and several lipid and membrane metabolites (such as very-low/low density lipoproteins (VLDL/LDL), polyunsaturated fatty acids, etc.). CONCLUSION The metabolic disturbances not only found to be well in concordance with various previous reports, these further demonstrated very high sensitivity and specificity to distinguish SAR from TB patients suggesting serum metabolomics analysis can serve as surrogate method in the diagnosis and clinical management of SAR.
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Affiliation(s)
- Mohit Kumar Rai
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
| | - Sachin Yadav
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
- Department of Chemistry, Integral University, Lucknow, UP, 226026, India
| | - Avinash Jain
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India.
- Department of Clinical Immunology and Rheumatology, SMS Medical College, Jaipur, India.
| | - Kritika Singh
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
| | - Amit Kumar
- Centre of Biomedical Research (CBMR), Lucknow, UP, 226014, India
| | - Ritu Raj
- Centre of Biomedical Research (CBMR), Lucknow, UP, 226014, India
| | - Durgesh Dubey
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
- Centre of Biomedical Research (CBMR), Lucknow, UP, 226014, India
| | - Harshit Singh
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
- Immuno Biology Lab, Translational Health Science and Technology Institute, Faridabad, HR, 121001, India
| | - Anupam Guleria
- Centre of Biomedical Research (CBMR), Lucknow, UP, 226014, India
| | - Saurabh Chaturvedi
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
- Department of Medical Laboratory Technology, School of Allied Health Sciences, Delhi Pharmaceutical Sciences and Research University, Sector III, Pushp Vihar, M.B. Road, New Delhi, 110017, India
| | - Abdul Rahman Khan
- Department of Chemistry, Integral University, Lucknow, UP, 226026, India
| | - Alok Nath
- Department of Pulmonary Medicine, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
| | - Durga Prasanna Misra
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India
| | - Vikas Agarwal
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS), Lucknow, UP, 226014, India.
| | - Dinesh Kumar
- Centre of Biomedical Research (CBMR), Lucknow, UP, 226014, India.
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Xu K, Saaoud F, Shao Y, Lu Y, Wu S, Zhao H, Chen K, Vazquez-Padron R, Jiang X, Wang H, Yang X. Early hyperlipidemia triggers metabolomic reprogramming with increased SAH, increased acetyl-CoA-cholesterol synthesis, and decreased glycolysis. Redox Biol 2023; 64:102771. [PMID: 37364513 PMCID: PMC10310484 DOI: 10.1016/j.redox.2023.102771] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023] Open
Abstract
To identify metabolomic reprogramming in early hyperlipidemia, unbiased metabolome was screened in four tissues from ApoE-/- mice fed with high fat diet (HFD) for 3 weeks. 30, 122, 67, and 97 metabolites in the aorta, heart, liver, and plasma, respectively, were upregulated. 9 upregulated metabolites were uremic toxins, and 13 metabolites, including palmitate, promoted a trained immunity with increased syntheses of acetyl-CoA and cholesterol, increased S-adenosylhomocysteine (SAH) and hypomethylation and decreased glycolysis. The cross-omics analysis found upregulation of 11 metabolite synthetases in ApoE‾/‾ aorta, which promote ROS, cholesterol biosynthesis, and inflammation. Statistical correlation of 12 upregulated metabolites with 37 gene upregulations in ApoE‾/‾ aorta indicated 9 upregulated new metabolites to be proatherogenic. Antioxidant transcription factor NRF2-/- transcriptome analysis indicated that NRF2 suppresses trained immunity-metabolomic reprogramming. Our results have provided novel insights on metabolomic reprogramming in multiple tissues in early hyperlipidemia oriented toward three co-existed new types of trained immunity.
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Affiliation(s)
- Keman Xu
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Fatma Saaoud
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Ying Shao
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Yifan Lu
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Sheng Wu
- Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Huaqing Zhao
- Medical Education and Data Science, Temple University Lewis Katz School of Medicine, Philadelphia, PA, 19140, USA
| | - Kaifu Chen
- Computational Biology Program, Department of Cardiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Roberto Vazquez-Padron
- DeWitt Daughtry Family Department of Surgery, Leonard M. Miller School of Medicine, University of Miami, Miami, FL, 33125, USA
| | - Xiaohua Jiang
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA; Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Hong Wang
- Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA
| | - Xiaofeng Yang
- Centers of Cardiovascular Research, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA; Metabolic Disease Research, Thrombosis Research, Departments of Cardiovascular Sciences, Temple University Lewis Katz School of Medicine, Philadelphia, PA 19140, USA.
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Chen Q, Shi T, Du D, Wang B, Zhao S, Gao Y, Wang S, Zhang Z. Non-destructive diagnostic testing of cardiac myxoma by serum confocal Raman microspectroscopy combined with multivariate analysis. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:2578-2587. [PMID: 37114381 DOI: 10.1039/d3ay00180f] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The symptoms of cardiac myxoma (CM) mainly occur when the tumor is growing, and the diagnosis is determined by clinical presentation. Unfortunately, there is no evidence that specific blood tests are useful in CM diagnosis. Raman spectroscopy (RS) has emerged as a promising auxiliary diagnostic tool because of its ability to simultaneously detect multiple molecular features without labelling. The objective of this study was to identify spectral markers for CM, one of the most common benign cardiac tumors with insidious onset and rapid progression. In this study, a preliminary analysis was conducted based on serum Raman spectra to obtain the spectral differences between CM patients (CM group) and healthy control subjects (normal group). Principal component analysis-linear discriminant analysis (PCA-LDA) was constructed to highlight the differences in the distribution of biochemical components among the groups according to the obtained spectral information. Principal component analysis was combined with a support vector machine model (PCA-SVM) based on three different kernel functions (linear, polynomial, and Gaussian radial basis function (RBF)) to resolve spectral variations between all study groups. The results showed that CM patients had lower serum levels of phenylalanine and carotenoid than those in the normal group, and increased levels of fatty acids. The resulting Raman data was used in a multivariate analysis to determine the Raman range that could be used for CM diagnosis. Also, the chemical interpretation of the spectral results obtained is further presented in the discussion section based on the multivariate curve resolution-alternating least squares (MCR-ALS) method. These results suggest that RS can be used as an adjunct and promising tool for CM diagnosis, and that vibrations in the fingerprint region can be used as spectral markers for the disease under study.
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Affiliation(s)
- Qiang Chen
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Tao Shi
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dan Du
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| | - Bo Wang
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| | - Sha Zhao
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| | - Yang Gao
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shuang Wang
- Institute of Photonics and Photon-Technology, Northwest University, Xi'an, China
| | - Zhanqin Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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Phenylalanine metabolism and tetrahydrobiopterin bio-availability in COVID-19 and HIV. Heliyon 2023; 9:e15010. [PMID: 37009248 PMCID: PMC10043972 DOI: 10.1016/j.heliyon.2023.e15010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
Various metabolomics studies have reported increased phenylalanine serum concentrations in SARS-CoV-2 positive cases and have correlated increased phenylalanine with COVID-19 severity. In this study, we report similar results based upon metabolomics analysis of serum collected from a South African cohort of adults with confirmed COVID-19. The novelty of this study is the inclusion of HIV positive cases in the African context. We found that pre-existing HIV co-infection exacerbates the disruption of phenylalanine metabolism in COVID-19. What is lacking in literature is biological context and deeper understanding of perturbed phenylalanine metabolism in COVID-19. We delve deep into the metabolism of phenylalanine in COVID-19 and posit new insights for COVID-19 cases co-infected with HIV; namely, HIV-COVID-19 co-infected individuals do not have sufficient bioavailability of tetrahydrobiopterin (BH4). Hence, we identify BH4 as a potential supplement to alleviate/lessen COVID-19 symptoms.
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Gupta N, Yadav DK, Gautam S, Kumar A, Kumar D, Prasad N. Nuclear Magnetic Resonance-Based Metabolomics Approach Revealed the Intervention Effect of Using Complementary and Alternative Medicine (CAM) by CKD Patients. ACS OMEGA 2023; 8:7722-7737. [PMID: 36872986 PMCID: PMC9979328 DOI: 10.1021/acsomega.2c06469] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Chronic kidney disease (CKD) is the end point of a number of systemic chronic diseases. The prevalence of CKD is increasing worldwide and recent epidemiological studies are showing the high prevalence of renal failure in CKD patients using complementary and alternative medicines (CAMs). Clinicians believe that biochemical profiles of CKD patients using CAM (referred here to as CAM-CKD) may be different compared to those on standard clinical treatment and should be managed differently. The present study aims to explore the potential of the NMR-based metabolomics approach to reveal the serum metabolic disparity between CKD and CAM-CKD patients with respect to normal control (NC) subjects and if the differential metabolic patterns can provide rationale for the efficacy and safety of standard and/or alternative therapies. Serum samples were obtained from 30 CKD patients, 43 CAM-CKD patients, and 47 NC subjects. The quantitative serum metabolic profiles were measured using 1D 1H CPMG NMR experiments performed at 800 MHz NMR spectrometer. The serum metabolic profiles were compared using various multivariate statistical analysis tools available on MetaboAnalyst (freely available web-based software) such as partial least-squares discriminant analysis (PLS-DA) and random forest (a machine learning) classification method. The discriminatory metabolites were identified based on variable importance in projection (VIP) statistics and further evaluated for statistical significance (i.e., p < 0.05) using either Student t-test or ANOVA statistics. PLS-DA models were capable of clustering CKD and CAM-CKD with considerably high values of Q 2 and R 2. Compared to CAM-CKD patients, the sera of CKD patients were characterized by (a) elevated levels of urea, creatinine, citrate, glucose, glycerol, and phenylalanine and phenylalanine-to-tyrosine ratio (PTR) and (b) decreased levels of various amino acids (such leucine, isoleucine, valine, and alanine), high-density lipoproteins, lactate, and acetate. These changes suggested that CKD patients manifest severe oxidative stress, hyperglycemia (with dampened glycolysis), increased protein energy wasting, and reduced lipid/membrane metabolism. Statistically significant and strong positive correlation of PTR with serum creatinine levels suggested the role of oxidative stress in the progression of kidney disease. Significant differences in metabolic patterns between CKD and CAM-CKD patients were observed. With respect to NC subjects, the serum metabolic changes were more aberrant in CKD patients compared to CAM-CKD patients. The aberrant metabolic changes in CKD patients with manifestations of higher oxidative stress compared to CAM-CKD patients could explain clinical discrepancies between CKD and CAM-CKD patients and further advocate the use of different treatment strategies for CKD and CAM-CKD patients.
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Affiliation(s)
- Nikhil Gupta
- Centre
of Biomedical Research (CBMR), Lucknow, Uttar Pradesh 226014, India
- Department
of Chemistry, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
| | | | - Sonam Gautam
- Department
of Nephrology, SGPGIMS, Lucknow, Uttar Pradesh 226014, India
| | - Ashish Kumar
- Department
of Chemistry, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
| | - Dinesh Kumar
- Centre
of Biomedical Research (CBMR), Lucknow, Uttar Pradesh 226014, India
| | - Narayan Prasad
- Department
of Nephrology, SGPGIMS, Lucknow, Uttar Pradesh 226014, India
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He S, Li P, Liu L, Li ZH. NMR technique revealed the metabolic interference mechanism of the combined exposure to cadmium and tributyltin in grass carp larvae. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17828-17838. [PMID: 36201083 DOI: 10.1007/s11356-022-23368-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Widespread human activity has resulted in the presence of different pollutants in the aquatic environment that does not exist in isolation. The study of the effects of contamination of aquatic organisms is of great significance. To assess the individual and combined toxicity of cadmium (Cd) and tributyltin (TBT) to aquatic organisms, juvenile grass carp (Ctenopharyngodon idella) were exposed to Cd (2.97 mg/L), TBT (7.5 μg/L), and their mixture MIX. The biological response was evaluated by nuclear magnetic resonance (NMR) analysis of plasma metabolites. Plasma samples at 1, 2, 4, 8, 16, 32, and 48 days post-exposure were analyzed using detection by NMR technique. The typical correlation analysis (CCA) analysis revealed that TBT had the greatest effect on plasma metabolism, followed by MIX and Cd. The interference pathway to grass carp was similar to that of TBT and MIX. Both Cd and TBT exposure alone or in combination can lead to metabolic abnormalities in TCA cycle-related pathways and interfere with energy metabolism. These results provide more detailed information for the metabolic study of pollutants and data for assessing the health risks of Cd, TBT, and MIX at the metabolic level.
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Affiliation(s)
- Shuwen He
- Marine College, Shandong University, Weihai, 264209, Shandong, China
| | - Ping Li
- Marine College, Shandong University, Weihai, 264209, Shandong, China
| | - Ling Liu
- Marine College, Shandong University, Weihai, 264209, Shandong, China
| | - Zhi-Hua Li
- Marine College, Shandong University, Weihai, 264209, Shandong, China.
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11
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Vimal S, Ranjan R, Yadav S, Majumdar G, Mittal B, Sinha N, Agarwal SK. Differences in the serum metabolic profile to identify potential biomarkers for cyanotic versus acyanotic heart disease. Perfusion 2023; 38:124-134. [PMID: 34472991 DOI: 10.1177/02676591211042559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND Growth retardation, malnutrition, and failure to thrive are some of the consequences associated with congenital heart diseases. Several metabolic factors such as hypoxia, anoxia, and several genetic factors are believed to alter the energetics of the heart. Timely diagnosis and patient management is one of the major challenges faced by the clinicians in understanding the disease and provide better treatment options. Metabolic profiling has shown to be potential diagnostic tool to understand the disease. OBJECTIVE The present experiment was designed as a single center observational pilot study to classify and create diagnostic metabolic signatures associated with the energetics of congenital heart disease in cyanotic and acyanotic groups. METHODS Metabolic sera profiles were obtained from 35 patients with cyanotic congenital heart disease (TOF) and 23 patients with acyanotic congenital heart disease (ASD and VSD) using high resolution 1D 1H NMR spectra. Univariate and multivariate statistical analysis were performed to classify particular metabolic disorders associated with cyanotic and acyanotic heart disease. RESULTS The results show dysregulations in several metabolites in cyanotic CHD patients versus acyanotic CHD patients. The discriminatory metabolites were further analyzed with area under receiver operating characteristic (AUROC) curve and identified four metabolic entities (i.e. mannose, hydroxyacetone, myoinositol, and creatinine) which could differentiate cyanotic CHDs from acyanotic CHDs with higher specificity. CONCLUSION An untargeted metabolic approach proved to be helpful for the detection and distinction of disease-causing metabolites in cyanotic patients from acyanotic ones and can be useful for designing better and personalized treatment protocol.
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Affiliation(s)
- Suman Vimal
- Department of Cardiovascular and Thoracic Surgery, SGPGIMS, Lucknow, Uttar Pradesh, India.,Dr. APJ Abdul Kalam Technical University, IET Campus, Lucknow, Uttar Pradesh, India
| | - Renuka Ranjan
- Centre of Biomedical Research, SGPGIMS, Lucknow, Uttar Pradesh, India
| | - Surabhi Yadav
- Department of Cardiovascular and Thoracic Surgery, SGPGIMS, Lucknow, Uttar Pradesh, India
| | - Gauranga Majumdar
- Department of Cardiovascular and Thoracic Surgery, SGPGIMS, Lucknow, Uttar Pradesh, India
| | - Balraj Mittal
- Babasaheb Bhimrao Ambedkar University, Lucknow, Uttar Pradesh, India
| | - Neeraj Sinha
- Centre of Biomedical Research, SGPGIMS, Lucknow, Uttar Pradesh, India
| | - Surendra Kumar Agarwal
- Department of Cardiovascular and Thoracic Surgery, SGPGIMS, Lucknow, Uttar Pradesh, India
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12
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Zhang Y, Ngo D, Yu B, Shah NA, Chen H, Ramos AR, Zee PC, Tracy R, Durda P, Kaplan R, Daviglus ML, Rich SS, Rotter JI, Cai J, Clish C, Gerszten R, Kristal BS, Gharib SA, Redline S, Sofer T. Development and validation of a metabolite index for obstructive sleep apnea across race/ethnicities. Sci Rep 2022; 12:21805. [PMID: 36526671 PMCID: PMC9758170 DOI: 10.1038/s41598-022-26321-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Obstructive sleep apnea (OSA) is a common disorder characterized by recurrent episodes of upper airway obstruction during sleep resulting in oxygen desaturation and sleep fragmentation, and associated with increased risk of adverse health outcomes. Metabolites are being increasingly used for biomarker discovery and evaluation of disease processes and progression. Studying metabolomic associations with OSA in a diverse community-based cohort may provide insights into the pathophysiology of OSA. We aimed to develop and replicate a metabolite index for OSA and identify individual metabolites associated with OSA. We studied 219 metabolites and their associations with the apnea hypopnea index (AHI) and with moderate-severe OSA (AHI ≥ 15) in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) (n = 3507) using two methods: (1) association analysis of individual metabolites, and (2) least absolute shrinkage and selection operator (LASSO) regression to identify a subset of metabolites jointly associated with OSA, which was used to develop a metabolite index for OSA. Results were validated in the Multi-Ethnic Study of Atherosclerosis (MESA) (n = 475). When assessing the associations with individual metabolites, we identified seven metabolites significantly positively associated with OSA in HCHS/SOL (FDR p < 0.05), of which four associations-glutamate, oleoyl-linoleoyl-glycerol (18:1/18:2), linoleoyl-linoleoyl-glycerol (18:2/18:2) and phenylalanine, were replicated in MESA (one sided-p < 0.05). The OSA metabolite index, composed of 14 metabolites, was associated with a 50% increased risk for moderate-severe OSA (OR = 1.50 [95% CI 1.21-1.85] per 1 SD of OSA metabolite index, p < 0.001) in HCHS/SOL and 55% increased risk (OR = 1.55 [95% CI 1.10-2.20] per 1 SD of OSA metabolite index, p = 0.013) in MESA, both adjusted for demographics, lifestyle, and comorbidities. Similar albeit less significant associations were observed for AHI. Replication of the metabolite index in an independent multi-ethnic dataset demonstrates the robustness of metabolomic-based OSA index to population heterogeneity. Replicated metabolite associations may provide insights into OSA-related molecular and metabolic mechanisms.
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Affiliation(s)
- Ying Zhang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Debby Ngo
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Cardiovascular Institute, Boston, MA, 02215, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Neomi A Shah
- Department of Medicine, Albert Einstein College of Medicine, New York, NY, 10029, USA
| | - Han Chen
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
- Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Alberto R Ramos
- Sleep Medicine Program, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Phyllis C Zee
- Division of Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL, 60611, USA
| | - Russell Tracy
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Peter Durda
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Martha L Daviglus
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60612, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Jianwen Cai
- Department of Biostatistics, Collaborative Studies Coordinating Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Clary Clish
- Metabolite Profiling Platform, Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Robert Gerszten
- Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Bruce S Kristal
- Department of Medicine, Sleep and Circadian Disorders, Harvard Medical School, Boston, MA, 02115, USA
- Department of Medicine, Division of Sleep Medicine and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, 98195, USA
| | - Susan Redline
- Department of Medicine, Division of Sleep Medicine and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Tamar Sofer
- Department of Medicine, Sleep and Circadian Disorders, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
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13
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Wang CH, Chen WS, Liu MH, Lee CY, Wang MY, Liang CY, Chu CM, Wu HP, Chen WH. Stress Hyperphenylalaninemia Is Associated With Mortality in Cardiac ICU: Clinical Factors, Genetic Variants, and Pteridines. Crit Care Med 2022; 50:1577-1587. [PMID: 35916411 PMCID: PMC9555827 DOI: 10.1097/ccm.0000000000005640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVES Hyperphenylalaninemia predicts poor outcomes in patients with cardiovascular disease. However, the prognostic value and factors associated with stress hyperphenylalaninemia (SHP) were unknown in critical patients in the cardiac ICU. DESIGN Prospective observational study. SETTING Single-center, cardiac ICU in Taiwan. PATIENTS Patients over 20 years old with Acute Physiology And Chronic Health Evaluation II scores greater than or equal to 15 and/or ventilatory support in the cardiac ICU. INTERVENTIONS We measured plasma phenylalanine levels serially during patients' stays in the ICU to investigate their prognostic value for 90-day mortality. Gene array was performed to identify genetic polymorphisms associated with SHP (phenylalanine level ≥ 11.2 μmol/dL) and to develop a Genetic Risk Score (GRS). We analyzed the associations between SHP and clinical factors and genetic variants and identified the correlation between pteridines and genetic variants. MEASUREMENTS AND MAIN RESULTS The study enrolled 497 patients. Increased phenylalanine concentration was independently associated with increased mortality risk. Patients with SHP had a higher mortality risk compared with those without SHP (log rank = 41.13; p < 0.001). SHP was associated with hepatic and renal dysfunction and with genetic polymorphisms on the pathway of tetrahydrobiopterin (BH4) synthesis (CBR1 and AKR1C3) and recycling (PCBD2). Higher GRSs were associated with lower BH4 bioavailability in response to stress ( p < 0.05). In patients without SHP at baseline, those with GRSs gretaer than or equal to 2 had a higher frequency of developing SHP during the ICU stay (31.5% vs 16.1%; p = 0.001) and a higher mortality risk ( p = 0.004) compared with those with GRSs less than 2. In patients with SHP at baseline, genetic variants did not provide additional prognostic value. CONCLUSIONS SHP in patients admitted to the ICU was associated with a worse prognosis. In patients without SHP, genetic polymorphisms associated with SHP measured using a GRS of greater than or equal to 2 was associated with the subsequent SHP and higher mortality risk.
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Affiliation(s)
- Chao-Hung Wang
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., School of Medicine, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wei-Siang Chen
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Min-Hui Liu
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., Department of Nursing, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chi-Ying Lee
- Department of Medical Science, Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan
| | - Mei-Ying Wang
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chung-Yu Liang
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chien-Ming Chu
- Division of pulmonary, critical care and sleep medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Huang-Ping Wu
- Division of pulmonary, critical care and sleep medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Wen-Hsin Chen
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan., Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
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14
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Hiraiwa H, Okumura T, Murohara T. Amino acid profiling to predict prognosis in patients with heart failure: an expert review. ESC Heart Fail 2022; 10:32-43. [PMID: 36300549 PMCID: PMC9871678 DOI: 10.1002/ehf2.14222] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 10/05/2022] [Accepted: 10/14/2022] [Indexed: 01/27/2023] Open
Abstract
Heart failure is a complex disease with a poor prognosis. A number of widely used prognostic tools have limitations, so efforts to identify novel predictive markers and measures are important. As a metabolomics tool, amino acid profiling has shown promise in predicting heart failure prognosis; however, the evidence has not yet been sufficiently evaluated. We describe the utilization of amino acids in the healthy heart and in heart failure before reviewing the literature on amino acid profiling for prognostic prediction. We expertly interpret the findings and provide suggestions for future research to advance the understanding of the prognostic potential of amino acid profiling in heart failure. Our analysis revealed correlations between amino acid biomarkers and traditional prognostic factors, the additional prognostic value of amino acid biomarkers over traditional prognostic factors, and the successful use of amino acid biomarkers to distinguish heart failure aetiology. Although certain amino acid biomarkers have demonstrated additional prognostic value over traditional measures, such as New York Heart Association functional class, these measures are deeply rooted in clinical practice; thus, amino acid biomarkers may be best placed as additional prognostic tools to improve current risk stratification rather than as surrogate tools. Once the metabolic profiles of different heart failure aetiologies have been clearly delineated, the amino acid biomarkers with the most value in prognostic prediction should be determined. Amino acid profiling could be useful to evaluate the pathophysiology and metabolic status of different heart failure cohorts, distinguish heart failure aetiologies, and improve risk stratification and prognostic prediction.
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Affiliation(s)
- Hiroaki Hiraiwa
- Department of CardiologyNagoya University Graduate School of MedicineNagoyaJapan
| | - Takahiro Okumura
- Department of CardiologyNagoya University Graduate School of MedicineNagoyaJapan
| | - Toyoaki Murohara
- Department of CardiologyNagoya University Graduate School of MedicineNagoyaJapan
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15
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Chen YF, Lu HC, Hou PC, Lin YC, Aala WJ, Onoufriadis A, McGrath JA, Chen YL, Hsu CK. Plasma metabolomic profiling reflects the malnourished and chronic inflammatory state in recessive dystrophic epidermolysis bullosa. J Dermatol Sci 2022; 107:82-88. [PMID: 35909063 DOI: 10.1016/j.jdermsci.2022.07.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/26/2022] [Accepted: 07/10/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Recessive dystrophic epidermolysis bullosa (RDEB) is a hereditary blistering disorder characterized by skin fragility, chronic inflammation, malnutrition, and fibrosis. Metabolomics is an emerging investigative field that helps elucidate disease pathophysiology and identify biomarkers. However, previous metabolomic studies in RDEB are limited. OBJECTIVE To investigate the plasma metabolomic profiles in RDEB patients. METHODS We recruited 10 RDEB patients and 10 age-/gender-matched healthy controls. Peripheral blood samples were collected and plasma metabolomic profiling was performed by LC-MS/MS analysis. MS data processing and compound identification were executed by MS-DIAL. Enrichment analysis was performed by MetaboAnalyst 5.0. RESULTS Metabolomic analyses demonstrated that most amino acid levels were downregulated in RDEB patients, and the extent of insufficiency correlated with clinical severity. Several metabolites were dysregulated in RDEB, including glutamine and glutamate metabolism, tryptophan-to-kynurenine ratio, phenylalanine-to-tyrosine ratio, and succinate accumulation. LIMITATIONS The study was limited by small case numbers and the unrepresentativeness of a single time-point blood sample. CONCLUSION Our study demonstrated the altered metabolomic profiles in RDEB, reflecting the disease severity, the chronic inflammatory and malnourished status, while the fibrotic signatures were not evident.
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Affiliation(s)
- Ya-Fen Chen
- Department of Biotechnology and Bioindustry Sciences, College of Bioscience and Biotechnology, National Cheng Kung University, Tainan, Taiwan
| | - Hsin-Chin Lu
- Department of Nutritional Services, National Cheng Kung University Hospital, Tainan, Taiwan
| | - Ping-Chen Hou
- Department of Dermatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Ching Lin
- Department of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Physical Medicine and Rehabilitation, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wilson Jr Aala
- Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Alexandros Onoufriadis
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - John A McGrath
- St John's Institute of Dermatology, School of Basic and Medical Biosciences, King's College London, London, UK
| | - Ying-Lan Chen
- Department of Biotechnology and Bioindustry Sciences, College of Bioscience and Biotechnology, National Cheng Kung University, Tainan, Taiwan.
| | - Chao-Kai Hsu
- Department of Dermatology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; International Research Center of Wound Repair and Regeneration (iWRR), National Cheng Kung University, Tainan, Taiwan.
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16
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Krivova AV, Kozhevnikova MV, Korobkova EO, Zektser VY, Zheleznykh EA, Ageev АA, Moskaleva NE, Kukharenko AV, Appolonova SA, Belenkov YN. Aromatic Amino Acids: Phenylalanine and Tyrosine in Patients with Hypertension and Coronary Artery Disease. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2022. [DOI: 10.20996/1819-6446-2022-06-05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Aim. To evaluate changes in the profile of aromatic amino acids (AAA) in patients with cardiovascular diseases (CVD): hypertension and coronary artery disease (CАD) in comparison with healthy study participants.Material and methods. One hundred and thirty-one participants were included in the study: 58 participants were included in the hypertension group, 46 in the CАD group, and 27 participants without signs of CVD in the control group. We used ultrahigh-performance liquid chromatography in combination with a triple quadrupole analyzer to measure plasma AAA: phenylalanine and tyrosine (Phe, Tyr) in all study participants. The association of AAA with biochemical blood test parameters, echocardiography (EchoCG) parameters, blood pressure level and clinical characteristics was analyzed.Results. A statistically significant difference in the level of concentration of Phe and Tyr was revealed (p=0,002 and p=0,024, respectively), comparing the three groups. Post-hoc analysis showed differences in the circulating level of both amino acids in patients with CAD vs the control group (Phe p=0,008 and Tyr p=0,020). Also a statistically significant difference in the level of Phe of the hypertension and CАD groups (p=0,017) was found. A negative correlation of low-density lipoproteins (LDL) with the level of Phe (r=-0,685, p<0,05) and Tyr (r=-0,583, p<0,05), as well as the level of Phe with total cholesterol (r=-0,461, p<0,05) was found in the group without CVD. In the hypertension group, only a weak positive correlation was found between very low-density lipoproteins and AAA levels (Phe r=0,326 and Tyr r=0,365, p<0,05), while in patients with CAD, the level of Phe and Tyr was negative correlated with high-density lipoprotein (r=-0,378 and r=-0,543, respectively, p<0,05), and the level of Tyr with LDL (r=0,349, p<0,05). When isolating the group with proven atherosclerosis of peripheral and/or coronary arteries, a statistically significant difference was revealed between the group of patients with CVD and clinical and instrumental signs of atherosclerosis and the group of patients with CVD without proven atherosclerosis in Phe level (p=0,019).Conclusion. Concentrations of AAA were higher in patients with CVD, comparing with the control group. At the same time, an increase of the Phe level was associated with the presence of peripheral or coronary atherosclerosis. The revealed correlations of AAA with EchoCG parameters and lipid spectrum parameters require further study to understand the involvement of AAA in pathogenesis of CVD and its potential role as treatment target.
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Affiliation(s)
- A. V. Krivova
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | | | - E. O. Korobkova
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - V. Yu. Zektser
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - E. A. Zheleznykh
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - А. A. Ageev
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - N. E. Moskaleva
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - A. V. Kukharenko
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - S. A. Appolonova
- I.M. Sechenov First Moscow Medical University (Sechenov University)
| | - Yu. N. Belenkov
- I.M. Sechenov First Moscow Medical University (Sechenov University)
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17
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Saleh S, George J, Kott KA, Meikle PJ, Figtree GA. The Translation and Commercialisation of Biomarkers for Cardiovascular Disease—A Review. Front Cardiovasc Med 2022; 9:897106. [PMID: 35722087 PMCID: PMC9201254 DOI: 10.3389/fcvm.2022.897106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/11/2022] [Indexed: 11/19/2022] Open
Abstract
As a leading cause of mortality and morbidity worldwide, cardiovascular disease and its diagnosis, quantification, and stratification remain significant health issues. Increasingly, patients present with cardiovascular disease in the absence of known risk factors, suggesting the presence of yet unrecognized pathological processes and disease predispositions. Fortunately, a host of emerging cardiovascular biomarkers characterizing and quantifying ischaemic heart disease have shown great promise in both laboratory settings and clinical trials. These have demonstrated improved predictive value additional to widely accepted biomarkers as well as providing insight into molecular phenotypes beneath the broad umbrella of cardiovascular disease that may allow for further personalized treatment regimens. However, the process of translation into clinical practice – particularly navigating the legal and commercial landscape – poses a number of challenges. Practical and legal barriers to the biomarker translational pipeline must be further considered to develop strategies to bring novel biomarkers into the clinical sphere and apply these advances at the patient bedside. Here we review the progress of emerging biomarkers in the cardiovascular space, with particular focus on those relevant to the unmet needs in ischaemic heart disease.
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Affiliation(s)
- Soloman Saleh
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Jacob George
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Katharine A. Kott
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
| | - Peter J. Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Gemma A. Figtree
- Cardiothoracic and Vascular Health, Kolling Institute of Medical Research, Sydney, NSW, Australia
- Department of Cardiology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
- *Correspondence: Gemma A. Figtree
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18
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Wang X, Shen Y, Zhuang X, Wang N, Zhang Q, Zhu L, Liu Y, Lu X, Qin L, Zhang Q. Jintiange Capsule Alleviates Rheumatoid Arthritis and Reverses Changes of Serum Metabolic Profile in Collagen-Induced Arthritic Rats. J Inflamm Res 2021; 14:6685-6706. [PMID: 34949931 PMCID: PMC8688834 DOI: 10.2147/jir.s338107] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Purpose Jintiange capsule (JTG), an approved drug developed as a substitute for tiger bone (TB), has been clinically applied for osteoporosis therapy since 2003. The drug is composed of bionic TB powder, in which peptides and proteins are primarily enriched from other bone extracts. However, as a precious material of traditional Chinese medicine (TCM), TB has been mainly understood and used in TCM to relieve osteoporosis, rheumatoid arthritis and bone injury. Inspired by those, the purpose of this study was to investigate whether JTG also had an effect on relieving rheumatoid arthritis in collagen-induced arthritic (CIA) rats and explore potential mechanism from the perspective of serum metabolic profile changes. Methods JTG was analyzed using Nano LC-MS/MS and orally administered in CIA rats for 6 weeks. After administration, intervention effects of JTG on synovial inflammation, bone micro-architecture and bone metabolism were studied, and the impact of JTG on serum metabolic profiles in CIA rats was investigated by metabolomics. Results Nine bioactive peptides were identified in JTG. In animal treatments, JTG alleviated paw swelling (P < 0.01), arthritic severity (P < 0.01) and synovial tissue proliferation, as well as inflammatory cell infiltration of ankle joint, decreased bone loss, improved microstructure of bone in CIA rats by regulating bone absorption and formation, specifically increasing bone mineral density (BMD) (P < 0.05), bone volume fraction (BVF) (P < 0.05), trabecular number (Tb.N) (P < 0.05) and decreasing trabecular separation (Tb.Sp) (P < 0.05). Besides, serum IL-6 was down-regulated remarkably in CIA rats (P < 0.05). Furthermore, metabolomics analysis revealed that 32 metabolites were regulated significantly (P < 0.05) by comparison between CIA model and JTG in 360 mg/kg dose. The pathway analysis implied that JTG was involved in regulation of biosynthesis of phenylalanine. Conclusion JTG alleviates rheumatoid arthritis and reverses changes in serum metabolic profile in CIA rats. ![]()
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Affiliation(s)
- Xiaoyan Wang
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Yi Shen
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Xinying Zhuang
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Na Wang
- Ginwa Enterprise (Group) INC, Xi'an, 710069, People's Republic of China
| | - Qi Zhang
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Lulin Zhu
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Yuling Liu
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Xinyu Lu
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Luping Qin
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
| | - Qiaoyan Zhang
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, People's Republic of China
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Wang D, Guo J, Liu T, Zhou X, Yang Z, Shi C, Wang W, Li R, Zhang Y, Junzhang, Yan J, Zhu X, Li Y, Gong M, Cui Y, Wu X. Plasma metabolomics-based reveals the treatment mechanism of ShenGui capsule for application to coronary heart disease in a rat model. Anal Biochem 2021; 642:114480. [PMID: 34813769 DOI: 10.1016/j.ab.2021.114480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 11/15/2021] [Accepted: 11/16/2021] [Indexed: 12/11/2022]
Abstract
Shen Gui capsule (SGC) has been demonstrated to have a significant treatment effect for coronary heart disease (CHD). Nevertheless, the holistic therapeutic mechanism of SGC in vivo remain poorly interpreted. We aimed to systematically explore the preventive effect and mechanism of SGC on CHD rats using plasma metabolomics strategy. Rat CHD model was established by left anterior descending coronary artery ligation (LAD). Echocardiography, histological analyses of the myocardium and biochemical assays on serum were used to confirm the successful establishment of the CHD model and therapeutic effects of SGC. Then, UHPLC-MS/MS-based plasma metabolomics was combined with multivariate data analysis to screen potential pharmaco biomarkers associated with SGC treatment in the LAD-induced rat CHD model. After SGC treatment, 12 abnormal metabolites considered as potiential pharmaco biomarkers recovered to near normal levels. These biomarkers were involved in several metabolic pathways, including fat and protein metabolism, phenylalanine metabolism, neuroactive ligand-receptor interaction, androgen receptor signaling pathway, and estrone metabolism.These results suggested that SGC achieves therapeutic action on CHD via regulating various aspects of the body such as energy metabolism, neurological disturbances and inflammation, and thus plays a significant role in the treatment of CHD and its complications. The study is useful to systematically understand and analyze the mechanism of SGC's "multipie pathways, multiple levels, multiple targets" prevention and treatment of CHD.
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Affiliation(s)
- Dan Wang
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China; Department of Pharmacy, Chu Hisen-I Memorial Hospital, Tianjin Medical University, Tianjin, 300134, China
| | - Jialin Guo
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China; Department of Pharmacy, Tianjin Chest Hospital, Tianjin, 300211, China
| | - Tiantian Liu
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Xinfeng Zhou
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Zijun Yang
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Chang Shi
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Weiting Wang
- Tianjin Institute of Pharmaceutical Research, Tianjin, 300301, China
| | - Rongshan Li
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Yanwen Zhang
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Junzhang
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Jiuxing Yan
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Xuehui Zhu
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Ying Li
- Tianjin Neurological Institute, Tianjin Medical University, Tianjin, 300052, China
| | - Min Gong
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Yan Cui
- Department of Pathogen Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
| | - Xiaohui Wu
- School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China.
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20
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Lorente JA, Nin N, Villa P, Vasco D, Miguel-Coello AB, Rodriguez I, Herrero R, Peñuelas O, Ruiz-Cabello J, Izquierdo-Garcia JL. Metabolomic diferences between COVID-19 and H1N1 influenza induced ARDS. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2021; 25:390. [PMID: 34781986 PMCID: PMC8591432 DOI: 10.1186/s13054-021-03810-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/03/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Acute respiratory distress syndrome (ARDS) is a type of respiratory failure characterized by lung inflammation and pulmonary edema. Coronavirus disease 2019 (COVID-19) is associated with ARDS in the more severe cases. This study aimed to compare the specificity of the metabolic alterations induced by COVID-19 or Influenza A pneumonia (IAP) in ARDS. METHODS Eighteen patients with ARDS due to COVID-19 and twenty patients with ARDS due to IAP, admitted to the intensive care unit. ARDS was defined as in the American-European Consensus Conference. As compared with patients with COVID-19, patients with IAP were younger and received more often noradrenaline to maintain a mean arterial pressure > 65 mm Hg. Serum samples were analyzed by Nuclear Magnetic Resonance Spectroscopy. Multivariate Statistical Analyses were used to identify metabolic differences between groups. Metabolic pathway analysis was performed to identify the most relevant pathways involved in ARDS development. RESULTS ARDS due to COVID-19 or to IAP induces a different regulation of amino acids metabolism, lipid metabolism, glycolysis, and anaplerotic metabolism. COVID-19 causes a significant energy supply deficit that induces supplementary energy-generating pathways. In contrast, IAP patients suffer more marked inflammatory and oxidative stress responses. The classificatory model discriminated against the cause of pneumonia with a success rate of 100%. CONCLUSIONS Our findings support the concept that ARDS is associated with a characteristic metabolomic profile that may discriminate patients with ARDS of different etiologies, being a potential biomarker for the diagnosis, prognosis, and management of this condition.
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Affiliation(s)
- Jose Angel Lorente
- CIBER de Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain.,Department of Critical Care, Hospital Universitario de Getafe, Madrid, Spain.,Universidad Europea de Madrid, Madrid, Spain
| | | | - Palmira Villa
- Centro de Asistencia a La Investigación Bioimagen Complutense, Universidad Complutense de Madrid, Madrid, Spain
| | - Dovami Vasco
- Department of Critical Care, Hospital Universitario de Getafe, Madrid, Spain
| | - Ana B Miguel-Coello
- CIBER de Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain.,Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014, Donostia San Sebastián, Spain
| | - Ignacio Rodriguez
- CIBER de Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain.,Departamento de Química en CC. Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
| | - Raquel Herrero
- Department of Critical Care, Hospital Universitario de Getafe, Madrid, Spain
| | - Oscar Peñuelas
- Department of Critical Care, Hospital Universitario de Getafe, Madrid, Spain
| | - Jesús Ruiz-Cabello
- CIBER de Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain.,Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de Miramon 182, 20014, Donostia San Sebastián, Spain.,Departamento de Química en CC. Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain
| | - Jose L Izquierdo-Garcia
- CIBER de Enfermedades Respiratorias, CIBERES, Instituto de Salud Carlos III, Madrid, Spain. .,Instituto Pluridisciplinar, Universidad Complutense de Madrid, Paseo Juan XXIII, 1, Madrid, Spain. .,Departamento de Química en CC. Farmacéuticas, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain.
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21
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A Targeted Serum Metabolomics GC-MS Approach Identifies Predictive Blood Biomarkers for Retained Placenta in Holstein Dairy Cows. Metabolites 2021; 11:metabo11090633. [PMID: 34564449 PMCID: PMC8466882 DOI: 10.3390/metabo11090633] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/09/2023] Open
Abstract
The retained placenta is a common pathology of dairy cows. It is associated with a significant drop in the dry matter intake, milk yield, and increased susceptibility of dairy cows to metritis, mastitis, and displaced abomasum. The objective of this study was to identify metabolic alterations that precede and are associated with the disease occurrence. Blood samples were collected from 100 dairy cows at −8 and −4 weeks prior to parturition and on the day of retained placenta, and only 16 healthy cows and 6 cows affected by retained placenta were selected to measure serum polar metabolites by a targeted gas chromatography–mass spectroscopy (GC-MS) metabolomics approach. A total of 27 metabolites were identified and quantified in the serum. There were 10, 18, and 17 metabolites identified as being significantly altered during the three time periods studied. However, only nine metabolites were identified as being shared among the three time periods including five amino acids (Asp, Glu, Ser, Thr, and Tyr), one sugar (myo-inositol), phosphoric acid, and urea. The identified metabolites can be used as predictive biomarkers for the risk of retained placenta in dairy cows and might help explain the metabolic processes that occur prior to the incidence of the disease and throw light on the pathomechanisms of the disease.
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22
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Løfblad L, Hov GG, Åsberg A, Videm V. Inflammatory markers and risk of cardiovascular mortality in relation to diabetes status in the HUNT study. Sci Rep 2021; 11:15644. [PMID: 34341370 PMCID: PMC8329190 DOI: 10.1038/s41598-021-94995-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 07/20/2021] [Indexed: 12/24/2022] Open
Abstract
Inflammatory markers have been associated with increased risk of cardiovascular mortality in general populations. We assessed whether these associations differ by diabetes status. From a population-based cohort study (n = 62,237) we included all participants with diabetes (n = 1753) and a control group without diabetes (n = 1818). Cox regression models were used to estimate hazard ratios (HRs) with 95% confidence intervals (CI) for possible associations with cardiovascular mortality of 4 different inflammatory markers; C-reactive protein (CRP), calprotectin, neopterin and lactoferrin. During a median follow-up of 13.9 years, 728 (20.4%) died from cardiovascular disease (CVD). After adjustment for age, sex and diabetes, the associations of all inflammatory markers with risk of cardiovascular mortality were log-linear (all P ≤ 0.017 for trend) and did not differ according to diabetes status (all P ≥ 0.53 for interaction). After further adjustments for established risk factors, only CRP remained independently associated with cardiovascular mortality. HRs were 1.22 (1.12-1.32) per standard deviation higher loge CRP concentration and 1.91 (1.50-2.43) when comparing individuals in the top versus bottom quartile. The associations of CRP, calprotectin, lactoferrin and neopterin with cardiovascular mortality did not differ by diabetes, suggesting that any potential prognostic value of these markers is independent of diabetes status.
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Affiliation(s)
- Lena Løfblad
- Department of Clinical Chemistry, St. Olavs University Hospital, Trondheim, Norway.
| | - Gunhild Garmo Hov
- Department of Clinical Chemistry, St. Olavs University Hospital, Trondheim, Norway
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
| | - Arne Åsberg
- Department of Clinical Chemistry, St. Olavs University Hospital, Trondheim, Norway
| | - Vibeke Videm
- Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Trondheim, Norway
- Department of Immunology and Transfusion Medicine, St. Olavs University Hospital, Trondheim, Norway
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23
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Smith SCL, Banbury C, Zardo D, Cannatelli R, Nardone OM, Shivaji UN, Ghosh S, Oppenheimer PG, Iacucci M. Raman spectroscopy accurately differentiates mucosal healing from non-healing and biochemical changes following biological therapy in inflammatory bowel disease. PLoS One 2021; 16:e0252210. [PMID: 34077453 PMCID: PMC8172032 DOI: 10.1371/journal.pone.0252210] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 05/11/2021] [Indexed: 11/23/2022] Open
Abstract
Background Mucosal healing (MH) is a key treatment target in the management of inflammatory bowel disease (IBD) and is defined in endoscopic terms by the newly published PICaSSO score. Raman Spectroscopy (RS) is based on the scattering of inelastic light giving spectra that are highly specific for individual molecules. We aimed to establish spectral changes before and after treatment and whether Raman Spectroscopy is able to accurately differentiate between inflammation and MH. Methods Biopsies were taken for ex vivo RS analysis alongside biopsies for histological analysis from IBD patients undergoing optical diagnosis endoscopic assessment. We compared pre- vs. post-biological treatment in IBD patients and healthy controls and active vs. MH in UC and CD. For spectral analysis, we used supervised self-organising maps for separation and classification. Results A total of 23 patients (14 IBD, 9 HC) were recruited for comparison of pre- vs. post-biologic treatment and 74 IBD patients were included for the assessment of MH in IBD, giving 9700 Raman Spectra. Spectral differences were seen between pre- and post-treatment which were observed comparing MH vs. active inflammation. Reductions in intensity at 1003cm-1 and 1252cm-1 when a reduction in inflammation was seen post-treatment and when MH was present. MH was associated with an increase in intensity at 1304cm-1. The trained neural network differentiated MH from active inflammation with a sensitivity, specificity, PPV, NPV and accuracy in UC of 96.29% (sd 0.94), 95.03% (sd 1.52), 94.89% (sd 1.59), 96.33 (sd 0.97) and 95.65 (sd 0.99) and 96.19% (sd 1.46), 88% (sd 4.20), 86.60% (sd 5.39), 96.55% (sd 1.32) and 91.6% (sd 2.75) in CD respectively. Conclusion We demonstrated RS can demonstrate biochemical changes following treatment of IBD and accurately differentiates MH from active inflammation in IBD and might be a future tool to personalise therapeutic management in IBD.
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Affiliation(s)
- Samuel C. L. Smith
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Carl Banbury
- Chemical Engineering, University of Birmingham, Birmingham, United Kingdom
| | - Davide Zardo
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Rosanna Cannatelli
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Olga M. Nardone
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Uday N. Shivaji
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
- National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Subrata Ghosh
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
- National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | | | - Marietta Iacucci
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
- National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham and University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
- * E-mail:
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24
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Deidda M, Noto A, Cadeddu Dessalvi C, Andreini D, Andreotti F, Ferrannini E, Latini R, Maggioni AP, Magnoni M, Maseri A, Mercuro G. Metabolomic correlates of coronary atherosclerosis, cardiovascular risk, both or neither. Results of the 2 × 2 phenotypic CAPIRE study. Int J Cardiol 2021; 336:14-21. [PMID: 34022320 DOI: 10.1016/j.ijcard.2021.05.033] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 05/11/2021] [Accepted: 05/17/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Traditional cardiovascular risk factors (RFs) and coronary artery disease (CAD) do not always run parallel. We investigated functional-metabolic correlations of CAD, RFs, or neither in the CAPIRE (Coronary Atherosclerosis in Outlier Subjects: Protective and Novel Individual Risk Factors Evaluation) 2 × 2 phenotypic observational study. METHODS Two hundred and fortyone subjects were included based on RF burden, presence/absence of CAD (assessed by computed tomography angiography), age and sex. Participants displayed one of four phenotypes: CAD with ≥3 RFs, no-CAD with ≥3 RFs, CAD with ≤1 RF and no-CAD with ≤1 RF. Metabolites were identified by gas chromatography-mass spectrometry and pathways by metabolite set enrichment analysis. RESULTS Characteristic patterns and specific pathways emerged for each phenotypic group: amino sugars for CAD/high-RF; urea cycle for no-CAD/high-RF; glutathione for CAD/low-RF; glycine and serine for no-CAD/low-RF. Presence of CAD correlated with ammonia recycling; absence of CAD with the transfer of acetyl groups into mitochondria; high-risk profile with alanine metabolism (all p < 0.05). The comparative case-control analyses showed a statistically significant difference for the two pathways of phenylalanine, tyrosine and tryptophan biosynthesis and phenylalanine metabolism in the CAD/Low-RF vs NoCAD/Low-RF comparison. CONCLUSIONS The present 2 × 2 observational study identified specific metabolic pathways for each of the four phenotypes, providing novel functional insights, particularly on CAD with low RF profiles and on the absence of CAD despite high-risk factor profiles.
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Affiliation(s)
- Martino Deidda
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Antonio Noto
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | | | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Clinical Sciences and Community Health, Cardiovascular Section, University of Milan, Italy
| | - Felicita Andreotti
- Cardiovascular Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | | | - Roberto Latini
- Mario Negri Institute of Pharmacological Research, IRCCS, Milan, Italy
| | - Aldo P Maggioni
- ANMCO Research Center, Heart Care Foundation, Florence, Italy; Maria Cecilia Hospital, GVM Care & Research, Cotignola, Italy
| | - Marco Magnoni
- IRCCS Ospedale San Raffaele and Università Vita-Salute San Raffaele, Milan, Italy
| | | | - Giuseppe Mercuro
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.
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25
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Elevated dimethylarginine, ATP, cytokines, metabolic remodeling involving tryptophan metabolism and potential microglial inflammation characterize primary open angle glaucoma. Sci Rep 2021; 11:9766. [PMID: 33963197 PMCID: PMC8105335 DOI: 10.1038/s41598-021-89137-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/20/2021] [Indexed: 02/03/2023] Open
Abstract
Glaucoma of which primary open angle glaucoma (POAG) constitutes 75%, is the second leading cause of blindness. Elevated intra ocular pressure and Nitric oxide synthase (NOS) dysfunction are hallmarks of POAG. We analyzed clinical data, cytokine profile, ATP level, metabolomics and GEO datasets to identify features unique to POAG. N9 microglial cells are used to gain mechanistic insights. Our POAG cohort showed elevated ATP in aqueous humor and cytokines in plasma. Metabolomic analysis showed changes in 21 metabolites including Dimethylarginine (DMAG) and activation of tryptophan metabolism in POAG. Analysis of GEO data sets and previously published proteomic data sets bins genes into signaling and metabolic pathways. Pathways from reanalyzed metabolomic data from literature significantly overlapped with those from our POAG data. DMAG modulated purinergic signaling, ATP secretion and cytokine expression were inhibited by N-Ethylmaleimide, NO donors, BAPTA and purinergic receptor inhibitors. ATP induced elevated intracellular calcium level and cytokines expression were inhibited by BAPTA. Metabolomics of cell culture supernatant from ATP treated sets showed metabolic deregulation and activation of tryptophan metabolism. DMAG and ATP induced IDO1/2 and TDO2 were inhibited by N-Ethylmaleimide, sodium nitroprusside and BAPTA. Our data obtained from clinical samples and cell culture studies reveal a strong association of elevated DMAG, ATP, cytokines and activation of tryptophan metabolism with POAG. DMAG mediated ATP signaling, inflammation and metabolic remodeling in microglia might have implications in management of POAG.
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26
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The Ability to Normalise Energy Metabolism in Advanced COVID-19 Disease Seems to Be One of the Key Factors Determining the Disease Progression—A Metabolomic NMR Study on Blood Plasma. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11094231] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Background: COVID-19 represents a severe inflammatory condition. Our work was designed to monitor the longitudinal dynamics of the metabolomic response of blood plasma and to reveal presumable discrimination in patients with positive and negative outcomes of COVID-19 respiratory symptoms. Methods: Blood plasma from patients, divided into subgroups with positive (survivors) and negative (worsening condition, non-survivors) outcomes, on Days 1, 3, and 7 after admission to hospital, was measured by NMR spectroscopy. Results: We observed changes in energy metabolism in both groups of COVID-19 patients; initial hyperglycaemia, indicating lowered glucose utilisation, was balanced with increased production of 3-hydroxybutyrate as an alternative energy source and accompanied by accelerated protein catabolism manifested by an increase in BCAA levels. These changes were normalised in patients with positive outcome by the seventh day, but still persisted one week after hospitalisation in patients with negative outcome. The initially decreased glutamine plasma level normalised faster in patients with positive outcome. Patients with negative outcome showed a more pronounced Phe/Tyr ratio, which is related to exacerbated and generalised inflammatory processes. Almost ideal discrimination from controls was proved. Conclusions: Distinct metabolomic responses to severe inflammation initiated by SARS-CoV-2 infection may serve towards complementary personalised pharmacological and nutritional support to improve patient outcomes.
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Lu X, Lin Y, Qiu X, Liu J, Zhu T, Araujo JA, Zhang J, Zhu Y. Metabolomic Changes after Subacute Exposure to Polycyclic Aromatic Hydrocarbons: A Natural Experiment among Healthy Travelers from Los Angeles to Beijing. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:5097-5105. [PMID: 33683876 DOI: 10.1021/acs.est.0c07627] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Emerging epidemiological evidence has associated exposure to polycyclic aromatic hydrocarbons (PAHs) with chronic diseases including cardiometabolic diseases and neurodegeneration. However, little information is available about their subacute effects, which may accumulate over years and contribute to chronic disease development. To fill this knowledge gap, we designed a natural experiment among 26 healthy young adults who were exposed to elevated PAHs for 10 weeks after traveling from Los Angeles to Beijing in 2014 and 2015. Serum was collected before, during, and after the trip for metabolomics analysis. We identified 50 metabolites that significantly changed 6-8 weeks after the travel to Beijing (FDR < 5%). The network analysis revealed two main independent modules. Module 1 was allocated to oxidative homeostasis-related response and module 2 to delayed enzymatic deinduction response. Remarkably, the module 1 metabolites were recovered 4-7 weeks after participants' return, while the module 2 metabolites were not. Urinary hydroxylated PAHs were significantly associated with metabolites from both modules, while PAH carboxylic acids, likely metabolites of alkylated PAHs, were only associated with antioxidation-related metabolites. These results suggested differential subacute effects of unsubstituted and alkylated PAHs. Further studies are warranted to elucidate the role of the reversibility of metabolite changes in adverse health effects of PAHs.
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Affiliation(s)
- Xinchen Lu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China
| | - Yan Lin
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California 90095, United States
| | - Xinghua Qiu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China
| | - Jinming Liu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China
| | - Tong Zhu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China
| | - Jesus A Araujo
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States
- Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, California 90095, United States
| | - Junfeng Zhang
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China
- Nicholas School of the Environment and Global Health Institute, Duke University, Durham, North Carolina 27708, United States
| | - Yifang Zhu
- Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, California 90095, United States
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28
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Xuan C, Li H, Tian QW, Guo JJ, He GW, Lun LM, Wang Q. Quantitative Assessment of Serum Amino Acids and Association with Early-Onset Coronary Artery Disease. Clin Interv Aging 2021; 16:465-474. [PMID: 33758500 PMCID: PMC7979345 DOI: 10.2147/cia.s298743] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 02/25/2021] [Indexed: 12/11/2022] Open
Abstract
Background Amino acids play essential roles in protein construction and metabolism. Our study aims to provide a profile of amino acid changes in the serum of patients with early-onset coronary artery disease (EOCAD) and identify potential disease biomarkers. Methods Ultra-performance liquid chromatography-multiple reaction monitoring-multistage/mass spectrometry (UPLC-MRM-MS/MS) was used to determine the amino acid profile of patients with EOCAD in sample pools. In the validation stage, the serum levels of candidate amino acids of interest are determined for each sample. Results A total of 128 EOCAD patients and 64 healthy controls were included in the study. Eight serum amino acids associated with disease state were identified. Compared with the control group, serum levels of seven amino acids (L-Arginine, L-Methionine, L-Tyrosine, L-Serine, L-Aspartic acid, L-Phenylalanine, and L-Glutamic acid) increased and one (4-Hydroxyproline) decreased in the patient group. Results from the validation stage demonstrate that serum levels of 4-Hydroxyproline were significantly lower in myocardial infarction (MI) patients (9.889 ± 3.635 μg/mL) than those in the controls (16.433 ± 4.562 μmol/L, p < 0.001). Elevated serum 4-Hydroxyproline levels were shown to be an independent protective factor for MI (OR = 0.863, 95% CI: 0.822–0.901). The significant negative correlation was seen between serum 4-Hydroxyproline levels and cardiac troponin I (r = −0.667) in MI patients. Conclusion We have provided a serum amino acid profile for EOCAD patients and screened eight disease state-related amino acids, and we have also shown that 4-Hydroxyproline is a promising target for further biomarker studies in early-onset MI.
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Affiliation(s)
- Chao Xuan
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Hui Li
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Qing-Wu Tian
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Jun-Jie Guo
- Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Guo-Wei He
- Center for Basic Medical Research & Department of Cardiovascular Surgery, TEDA International Cardiovascular Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Department of Surgery, Oregon Health and Science University, Portland, OR, USA
| | - Li-Min Lun
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
| | - Qing Wang
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, People's Republic of China
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Metabolomic/lipidomic profiling of COVID-19 and individual response to tocilizumab. PLoS Pathog 2021; 17:e1009243. [PMID: 33524041 PMCID: PMC7877736 DOI: 10.1371/journal.ppat.1009243] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/11/2021] [Accepted: 12/18/2020] [Indexed: 02/07/2023] Open
Abstract
The current pandemic emergence of novel coronavirus disease (COVID-19) poses a relevant threat to global health. SARS-CoV-2 infection is characterized by a wide range of clinical manifestations, ranging from absence of symptoms to severe forms that need intensive care treatment. Here, plasma-EDTA samples of 30 patients compared with age- and sex-matched controls were analyzed via untargeted nuclear magnetic resonance (NMR)-based metabolomics and lipidomics. With the same approach, the effect of tocilizumab administration was evaluated in a subset of patients. Despite the heterogeneity of the clinical symptoms, COVID-19 patients are characterized by common plasma metabolomic and lipidomic signatures (91.7% and 87.5% accuracy, respectively, when compared to controls). Tocilizumab treatment resulted in at least partial reversion of the metabolic alterations due to SARS-CoV-2 infection. In conclusion, NMR-based metabolomic and lipidomic profiling provides novel insights into the pathophysiological mechanism of human response to SARS-CoV-2 infection and to monitor treatment outcomes. The current COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is markedly affecting the world population. Here we report about the small-molecule profile of patients hospitalized during the first wave of the COVID-19 pandemic in Florence (Italy). Using magnetic resonance spectroscopy, we showed that the infection induces profound changes in the metabolome. The analysis of the specific metabolite changes and correlations with clinical data enabled the identification of potential biochemical determinants of the disease fingerprint. We also followed how metabolic alterations revert towards those of the control group upon treatment with tocilizumab, a recombinant humanized monoclonal antibody against the interleukin-6 receptor. These results open up possibilities for the monitoring of novel patients and their individual response to treatment.
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Di Gregorio E, Miolo G, Saorin A, Muraro E, Cangemi M, Revelant A, Minatel E, Trovò M, Steffan A, Corona G. Radical Hemithoracic Radiotherapy Induces Systemic Metabolomics Changes That Are Associated with the Clinical Outcome of Malignant Pleural Mesothelioma Patients. Cancers (Basel) 2021; 13:cancers13030508. [PMID: 33572739 PMCID: PMC7866164 DOI: 10.3390/cancers13030508] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Radical hemithoracic radiotherapy represents a promising new advance in the field of radiation oncology and encouraging results have been achieved in the treatment of malignant pleural mesothelioma patients. This study showed that this radiotherapy modality produces significant changes in serum metabolomics profile mainly affecting arginine and polyamine biosynthesis pathways. Interestingly, individual metabolomics alterations were found associated with the clinical overall survival outcome of the radiotherapy treatment. These results highlight metabolomics profile analysis as a powerful prognostic tool useful to better understand the mechanisms underlying the interpatients variability and to identify patients who may receive the best benefit from this specific radiotherapy treatment. Abstract Radical hemithoracic radiotherapy (RHRT) represents an advanced therapeutic option able to improve overall survival of malignant pleural mesothelioma patients. This study aims to investigate the systemic effects of this radiotherapy modality on the serum metabolome and their potential implications in determining the individual clinical outcome. Nineteen patients undergoing RHRT at the dose of 50 Gy in 25 fractions were enrolled. Serum targeted metabolomics profiles were investigated at baseline and the end of radiotherapy by liquid chromatography and tandem mass spectrometry. Univariate and multivariate OPLS-DA analyses were applied to study the serum metabolomics changes induced by RHRT while PLS regression analysis to evaluate the association between such changes and overall survival. RHRT was found to affect almost all investigated metabolites classes, in particular, the amino acids citrulline and taurine, the C14, C18:1 and C18:2 acyl-carnitines as well as the unsaturated long chain phosphatidylcholines PC ae 42:5, PC ae 44:5 and PC ae 44:6 were significantly decreased. The enrichment analysis showed arginine metabolism and the polyamine biosynthesis as the most perturbed pathways. Moreover, specific metabolic changes encompassing the amino acids and acyl-carnitines resulted in association with the clinical outcome accounting for about 60% of the interpatients overall survival variability. This study highlighted that RHRT can induce profound systemic metabolic effects some of which may have a significant prognostic value. The integration of metabolomics in the clinical assessment of the malignant pleural mesothelioma could be useful to better identify the patients who can achieve the best benefit from the RHRT treatment.
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Affiliation(s)
- Emanuela Di Gregorio
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
| | - Gianmaria Miolo
- Medical Oncology and Cancer Prevention Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy;
| | - Asia Saorin
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
| | - Elena Muraro
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
| | - Michela Cangemi
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
| | - Alberto Revelant
- Radiation Oncology Department, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (A.R.); (E.M.)
| | - Emilio Minatel
- Radiation Oncology Department, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (A.R.); (E.M.)
| | - Marco Trovò
- Radiation Oncology Department, Azienda Sanitaria Integrata, 33100 Udine, Italy;
| | - Agostino Steffan
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
| | - Giuseppe Corona
- Immunopathology and Cancer Biomarkers Unit, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; (E.D.G.); (A.S.); (E.M.); (M.C.); (A.S.)
- Correspondence: ; Tel.: +39-0434-659-666
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Cheng CW, Liu MH, Tang HY, Cheng ML, Wang CH. Factors associated with elevated plasma phenylalanine in patients with heart failure. Amino Acids 2021; 53:149-157. [PMID: 33398528 DOI: 10.1007/s00726-020-02933-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 12/16/2020] [Indexed: 01/08/2023]
Abstract
Elevated phenylalanine has been observed in patients with advanced heart failure (HF) and in community cohorts at risk of HF, and has been shown to have prognostic value. This study aimed to explore the factors associated with elevated phenylalanine in HF patients. Mass spectrometry was performed on blood from 669 participants, including 75 normal controls and 594 HF patients (stages A, B, and C). We measured phenylalanine and associated degradation products on the catecholamine pathway, C-reactive protein, valerylcarnitine, methionine sulfoxide, estimated glomerular filtration rate (eGFR), and B-type natriuretic peptide. Longitudinal analysis was conducted on 61 stage C HF patients who had recovered systolic function after 1 year. Phenylalanine and tyrosine levels increased from normal through stages A, B and C. Cross-sectional analysis in patients at stage C showed that phenylalanine levels were related to total bilirubin, eGFR, valerylcarnitine, methionine sulfoxide, C-reactive protein, and male gender. Longitudinal analysis in the patients at stage C with recovered systolic function after 1 year revealed that phenylalanine, tyrosine, methionine sulfoxide, total bilirubin, and C-reactive protein levels significantly decreased from baseline to 12 months. Based on a generalized estimating equations analysis model with time interaction considered, the only significant factor associated with changes in phenylalanine was changes in C-reactive protein concentrations from baseline to 12 months [B (coefficient) = 0.81, P < 0.001] after adjusting for methionine sulfoxide and total bilirubin levels. In conclusion, phenylalanine levels respond sensitively to HF improvement. Our findings suggest that inflammation plays a pivotal role in the elevation of phenylalanine levels in patients with HF.
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Affiliation(s)
- Chi-Wen Cheng
- Division of Cardiology, Department of Internal Medicine, Heart Failure Research Center, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Min-Hui Liu
- Division of Cardiology, Department of Internal Medicine, Heart Failure Research Center, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taiwan.,Department of Nursing, Ching Kuo Institute of Management and Health, Keelung, Taiwan
| | - Hsiang-Yu Tang
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Mei-Ling Cheng
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Department and Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Clinical Metabolomics Core Laboratory, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chao-Hung Wang
- Division of Cardiology, Department of Internal Medicine, Heart Failure Research Center, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taiwan. .,Chang Gung University College of Medicine, Taoyuan, Taiwan.
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Baima G, Iaderosa G, Citterio F, Grossi S, Romano F, Berta GN, Buduneli N, Aimetti M. Salivary metabolomics for the diagnosis of periodontal diseases: a systematic review with methodological quality assessment. Metabolomics 2021; 17:1. [PMID: 33387070 DOI: 10.1007/s11306-020-01754-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 11/30/2020] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Early diagnosis of periodontitis by means of a rapid, accurate and non-invasive method is highly desirable to reduce the individual and epidemiological burden of this largely prevalent disease. OBJECTIVES The aims of the present systematic review were to examine potential salivary metabolic biomarkers and pathways associated to periodontitis, and to assess the accuracy of salivary untargeted metabolomics for the diagnosis of periodontal diseases. METHODS Relevant studies identified from MEDLINE (PubMed), Embase and Scopus databases were systematically examined for analytical protocols, metabolic biomarkers and results from the multivariate analysis (MVA). Pathway analysis was performed using the MetaboAnalyst online software and quality assessment by means of a modified version of the QUADOMICS tool. RESULTS Twelve studies met the inclusion criteria, with sample sizes ranging from 19 to 130 subjects. Compared to periodontally healthy individuals, valine, phenylalanine, isoleucine, tyrosine and butyrate were found upregulated in periodontitis patients in most studies; while lactate, pyruvate and N-acetyl groups were the most significantly expressed in healthy individuals. Metabolic pathways that resulted dysregulated are mainly implicated in inflammation, oxidative stress, immune activation and bacterial energetic metabolism. The findings from MVA revealed that periodontitis is characterized by a specific metabolic signature in saliva, with coefficients of determination ranging from 0.52 to 0.99. CONCLUSIONS This systematic review summarizes candidate metabolic biomarkers and pathways related to periodontitis, which may provide opportunities for the validation of diagnostic or predictive models and the discovery of novel targets for monitoring and treating such a disease (PROSPERO CRD42020188482).
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Affiliation(s)
- Giacomo Baima
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy.
| | - Giovanni Iaderosa
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Filippo Citterio
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Silvia Grossi
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Federica Romano
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Giovanni N Berta
- Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Nurcan Buduneli
- Department of Periodontology, School of Dentistry, Ege University, İzmir, Turkey
| | - Mario Aimetti
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
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Värri M, Niskanen L, Tuomainen TP, Honkanen R, Kröger H, Tuppurainen MT. Metabolite Profiling of Osteoporosis and Atherosclerosis in Postmenopausal Women: A Cross-Sectional Study. Vasc Health Risk Manag 2020; 16:515-524. [PMID: 33293818 PMCID: PMC7719314 DOI: 10.2147/vhrm.s279028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 11/19/2020] [Indexed: 02/02/2023] Open
Abstract
Purpose Atherosclerosis (AS) and osteoporosis (OP) are common causes of morbidity and mortality in postmenopausal women and are connected via an unknown mechanistic link. Metabolite profiling of blood samples may allow the identification of new biomarkers and pathways for this enigmatic association. Patients and Methods We studied the difference in 148 metabolite levels from serum samples in postmenopausal women with AS and OP compared with those in healthy participants in this cross-sectional study. Quantitative AS was assessed by carotid artery intima-media thickness (cIMT) and carotid artery calcifications (CACs) by ultrasound, as well as OP by femoral neck (FN) bone mineral density (BMD) and 148 metabolic measures with high-throughput proton (1H) nuclear magnetic resonance (NMR) in serum samples from 280 postmenopausal (PM) women. Subjects were a randomly selected subsample from the population-based Kuopio Osteoporosis Risk Factor and Prevention (OSTPRE) study. The final study population included the following groups: OP with CAC (n=16, group I), non-OP with no CAC (n=59, group II), high cIMT tertile with OP (n=11, group III) and low cIMT tertile without OP (n=48, group IV). Results There were differences in several metabolite levels between groups I and II. The acetate level was lower in group I compared to that in group II (group I mean ± SD: 0.033 ± 0.0070; group II: 0.041 ± 0.014, CI95%: 0.018‒0.15, p=0.014). The result was similar with diacylglycerol (p=0.002), leucine (p=0.031), valine (p=0.022) and several very low-density lipoprotein (VLDL) metabolite levels, which were lower in group I compared to those in group II. However, no associations were found in adjusted analyses with total body (TB) fat mass (FM), age and statin use (p>0.05). Conclusion Our novel study found differences in the metabolite profiling of altered amino acid and lipoprotein metabolism in participants with OP and AS compared with those in healthy women. The causative mechanisms remain unknown and further studies are needed.
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Affiliation(s)
- Miika Värri
- Kuopio Musculoskeletal Research Unit (KMRU), Surgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Leo Niskanen
- Department of Endocrinology and Metabolism, Abdominal Centre, Helsinki University Hospital, Universities of Helsinki and Eastern Finland, Helsinki, Finland
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Risto Honkanen
- Kuopio Musculoskeletal Research Unit (KMRU), Surgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Lapland Hospital District, Rovaniemi, Finland
| | - Heikki Kröger
- Kuopio Musculoskeletal Research Unit (KMRU), Surgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Orthopaedics, Traumatology and Hand Surgery, Kuopio University Hospital, Kuopio, Finland
| | - Marjo T Tuppurainen
- Kuopio Musculoskeletal Research Unit (KMRU), Surgery, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.,Department of Obstetrics and Gynaecology, Kuopio University Hospital, Kuopio, Finland
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Guo Y, Wan S, Han M, Zhao Y, Li C, Cai G, Zhang S, Sun Z, Hu X, Cao H, Li Z. Plasma Metabolomics Analysis Identifies Abnormal Energy, Lipid, and Amino Acid Metabolism in Abdominal Aortic Aneurysms. Med Sci Monit 2020; 26:e926766. [PMID: 33257643 PMCID: PMC7718721 DOI: 10.12659/msm.926766] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Abdominal aortic aneurysm (AAA) is a complicated aortic dilatation disease. Metabolomics is an emerging system biology method. This aim of this study was to identify abnormal metabolites and metabolic pathways associated with AAA and to discover potential biomarkers that could affect the size of AAAs. Material/Methods An untargeted metabolomic method was used to analyze the plasma metabolic profiles of 39 patients with AAAs and 30 controls. Multivariate analysis methods were used to perform differential metabolite screening and metabolic pathway analysis. Cluster analysis and univariate analysis were performed to identify potential metabolites that could affect the size of an AAA. Results Forty-five different metabolites were identified with an orthogonal projection to latent squares-discriminant analysis model and the differences between them in the patients with AAAs and the control group were compared. A variable importance in the projection score >1 and P<0.05 were considered statistically significant. In patients with AAAs, the pathways involving metabolism of alanine, aspartate, glutamate, D-glutamine, D-glutamic acid, arginine, and proline; tricarboxylic acid cycling; and biosynthesis of arginine are abnormal. The progression of an AAA may be related to 13 metabolites: citric acid, 2-oxoglutarate, succinic acid, coenzyme Q1, pyruvic acid, sphingosine-1-phosphate, platelet-activating factor, LysoPC (16: 00), lysophosphatidylcholine (18: 2(9Z,12Z)/0: 0), arginine, D-aspartic acid, and L- and D-glutamine. Conclusions An untargeted metabolomic analysis using ultraperformance liquid chromatography-tandem mass spectrometry identified metabolites that indicate disordered metabolism of energy, lipids, and amino acids in AAAs.
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Affiliation(s)
- Yaming Guo
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Shuwei Wan
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Mingli Han
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Yubo Zhao
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Chuang Li
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Gaopo Cai
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Shuai Zhang
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Zhi Sun
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Xinhua Hu
- Department of Endovascular Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (mainland)
| | - Hui Cao
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Zhen Li
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
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Nayor M, Shah RV, Miller PE, Blodgett JB, Tanguay M, Pico AR, Murthy VL, Malhotra R, Houstis NE, Deik A, Pierce KA, Bullock K, Dailey L, Velagaleti RS, Moore SA, Ho JE, Baggish AL, Clish CB, Larson MG, Vasan RS, Lewis GD. Metabolic Architecture of Acute Exercise Response in Middle-Aged Adults in the Community. Circulation 2020; 142:1905-1924. [PMID: 32927962 PMCID: PMC8049528 DOI: 10.1161/circulationaha.120.050281] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Whereas regular exercise is associated with lower risk of cardiovascular disease and mortality, mechanisms of exercise-mediated health benefits remain less clear. We used metabolite profiling before and after acute exercise to delineate the metabolic architecture of exercise response patterns in humans. METHODS Cardiopulmonary exercise testing and metabolite profiling was performed on Framingham Heart Study participants (age 53±8 years, 63% women) with blood drawn at rest (n=471) and at peak exercise (n=411). RESULTS We observed changes in circulating levels for 502 of 588 measured metabolites from rest to peak exercise (exercise duration 11.9±2.1 minutes) at a 5% false discovery rate. Changes included reductions in metabolites implicated in insulin resistance (glutamate, -29%; P=1.5×10-55; dimethylguanidino valeric acid [DMGV], -18%; P=5.8×10-18) and increases in metabolites associated with lipolysis (1-methylnicotinamide, +33%; P=6.1×10-67), nitric oxide bioavailability (arginine/ornithine + citrulline, +29%; P=2.8×10-169), and adipose browning (12,13-dihydroxy-9Z-octadecenoic acid +26%; P=7.4×10-38), among other pathways relevant to cardiometabolic risk. We assayed 177 metabolites in a separate Framingham Heart Study replication sample (n=783, age 54±8 years, 51% women) and observed concordant changes in 164 metabolites (92.6%) at 5% false discovery rate. Exercise-induced metabolite changes were variably related to the amount of exercise performed (peak workload), sex, and body mass index. There was attenuation of favorable excursions in some metabolites in individuals with higher body mass index and greater excursions in select cardioprotective metabolites in women despite less exercise performed. Distinct preexercise metabolite levels were associated with different physiologic dimensions of fitness (eg, ventilatory efficiency, exercise blood pressure, peak Vo2). We identified 4 metabolite signatures of exercise response patterns that were then analyzed in a separate cohort (Framingham Offspring Study; n=2045, age 55±10 years, 51% women), 2 of which were associated with overall mortality over median follow-up of 23.1 years (P≤0.003 for both). CONCLUSIONS In a large sample of community-dwelling individuals, acute exercise elicits widespread changes in the circulating metabolome. Metabolic changes identify pathways central to cardiometabolic health, cardiovascular disease, and long-term outcome. These findings provide a detailed map of the metabolic response to acute exercise in humans and identify potential mechanisms responsible for the beneficial cardiometabolic effects of exercise for future study.
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Affiliation(s)
- Matthew Nayor
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Ravi V. Shah
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Patricia E. Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Jasmine B. Blodgett
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Melissa Tanguay
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Alexander R. Pico
- Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA
| | - Venkatesh L. Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor
- Frankel Cardiovascular Center, University of Michigan, Ann Arbor
| | - Rajeev Malhotra
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
| | - Nicholas E. Houstis
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Amy Deik
- Broad Institute of MIT and Harvard, Cambridge, MA
| | | | | | - Lucas Dailey
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Raghava S. Velagaleti
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, MA
| | - Stephanie A. Moore
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, MA
| | - Jennifer E. Ho
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Aaron L. Baggish
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | - Martin G. Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
| | - Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
- Sections of Preventive Medicine and Epidemiology, and Cardiology, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Gregory D. Lewis
- Cardiology Division and the Simches Cardiovascular Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston, MA
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Gostner JM, Geisler S, Stonig M, Mair L, Sperner-Unterweger B, Fuchs D. Tryptophan Metabolism and Related Pathways in Psychoneuroimmunology: The Impact of Nutrition and Lifestyle. Neuropsychobiology 2020; 79:89-99. [PMID: 30808841 DOI: 10.1159/000496293] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 12/18/2018] [Indexed: 11/19/2022]
Abstract
In the past, accelerated tryptophan breakdown was considered to be a feature of clinical conditions, such as infection, inflammation, and malignant disease. More recently, however, the focus has changed to include the additional modulation of tryptophan metabolism by changes in nutrition and microbiota composition. The regulation of tryptophan concentration is critical for the maintenance of systemic homeostasis because it integrates essential pathways involved in nutrient sensing, metabolic stress response, and immunity. In addition to tryptophan being important as a precursor for the synthesis of the neurotransmitter serotonin, several catabolites along the kynurenine axis are neuroactive. This emphasizes the importance of the immunometabolic fate of this amino acid for processes relevant to neuropsychiatric symptoms. In humans, besides hepatic catabolism, there is usually a strong relationship between immune activation-associated tryptophan breakdown and increased levels of biomarkers, such as neopterin, which has particular relevance for both acute and chronic diseases. A shift towards neopterin synthesis during oxidative stress may indicate a corresponding decrease in tetrahydrobiopterin, a cofactor of several mono-oxygenases, providing a further link between tryptophan metabolism and serotonergic and catecholaminergic neurotransmission. The psychoneuroimmunological consequences of tryptophan metabolism and the susceptibility of this pathway to modulation by a variety of nutritional and lifestyle-related factors have important implications for the development of both diagnostic and treatment options.
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Affiliation(s)
- Johanna M Gostner
- Division of Medical Biochemistry, Medical University of Innsbruck, Innsbruck, Austria
| | - Simon Geisler
- Division of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria
| | - Marlies Stonig
- Division of Medical Biochemistry, Medical University of Innsbruck, Innsbruck, Austria
| | - Lisa Mair
- Division of Medical Biochemistry, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Dietmar Fuchs
- Division of Biological Chemistry, Biocenter, Medical University of Innsbruck, Innsbruck, Austria,
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Saleem TH, Algowhary M, Kamel FEM, El-Mahdy RI. Plasma amino acid metabolomic pattern in heart failure patients with either preserved or reduced ejection fraction: The relation to established risk variables and prognosis. Biomed Chromatogr 2020; 35:e5012. [PMID: 33119901 DOI: 10.1002/bmc.5012] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/08/2020] [Accepted: 10/16/2020] [Indexed: 12/11/2022]
Abstract
Communication between amino acids (AAs) and heart failure (HF) is unclear. We evaluate the plasma metabolomic profile of AAs in HF and its subgroups and association with clinical features. This is a case-control study in which 90 patients with HF, 63 with reduced ejection fraction (HFrEF) and 27 with preserved ejection fraction (HFpEF), were compared with 60 controls. The quantitative measurement of plasma concentrations of AA metabolites was performed using an AA analyzer. Compared with controls, HF patients had significantly higher levels of nine AAs and significantly lower levels of seven AAs. Leu, phenylalanine (Phe), and methionine (Met) were the independent predictors of HF that remained significant after adjustment for confounding factors in multivariate analysis. There was a significant difference in 10 AAs and some clinical features between HFpEF and HFrEF. The plasma levels of six AAs were significantly increased across the different New York Heart Association (NYHA) classes, (class II, class III, class IV) but they were not predictor of reduced EF and NYHA in multivariate regression analysis. There were significant associations between Leu, Phe, and Met with cardiovascular risk variables and prognosis. In conclusion, plasma Leu, Phe, and Met provide early prediction and prognostic values of HF. The plasma AAs could have significant impact on the risk-stratifying HFrEF and HFpEF and NYHA functional class but do not predict them.
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Affiliation(s)
- Tahia H Saleem
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Magdy Algowhary
- Department of Cardiology, Faculty of Medicine, Assiut University, Assiut, Egypt
| | - Fatma Elzahraa M Kamel
- Pharmacist at Cardiology Department, Faculty of Pharmacy, Assiut University, Assiut, Egypt
| | - Reham I El-Mahdy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Assiut University, Assiut, Egypt
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Al-Sadoon I, Wittmann I, Kun S, Ahmann M, Konyi A, Verzár Z. Assessment of serum phenylalanine and tyrosine isomers in patients with ST-segment elevation vs non-ST-segment elevation myocardial infarction. J Clin Lab Anal 2020; 35:e23613. [PMID: 33043503 PMCID: PMC7891521 DOI: 10.1002/jcla.23613] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/18/2020] [Accepted: 09/21/2020] [Indexed: 12/12/2022] Open
Abstract
Background Under conditions of oxidative stress, hydroxyl radicals can oxidize phenylalanine (Phe) into various tyrosine (Tyr) isomers (meta‐, ortho‐, and para‐tyrosine; m‐, o‐, and p‐Tyr), depending on the location of the hydroxyl group on the oxidized benzyl ring. This study aimed to compare patients with ST‐segment elevation myocardial infarction (STEMI) and non‐STEMI (NSTEMI) and the serum levels of Phe and Tyr isomers at the aortic root and distal to the culprit lesion in both groups. Methods Forty‐four patients participated in the study: 23 with STEMI and 21 with NSTEMI. Arterial blood samples were taken from the aortic root through a guiding catheter and from the culprit vessel segment distal from the primary lesion with an aspiration catheter, during the percutaneous coronary intervention. Serum levels of Phe, p‐Tyr, m‐Tyr, and o‐Tyr were determined using reverse‐phase high‐performance liquid chromatography. Results Serum levels of Phe were significantly higher distal to the culprit lesion compared to the aortic root in patients with STEMI. Serum p‐Tyr/Phe and m‐Tyr/Phe concentration ratios were both lower distal to the culprit lesion than at the aortic root in patients with STEMI. There were no statistically significant differences with respect to changes in serum Phe and Tyr isomers distal to the culprit lesion compared to the aortic root in patients with NSTEMI. Conclusion Our data suggest that changes in serum levels of different Tyr isomers can mediate the effects of oxidative stress during myocardial infarction.
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Affiliation(s)
- Ied Al-Sadoon
- Doctoral School of Health Sciences, Faculty of Health Science, University of Pécs, Pécs, Hungary
| | - István Wittmann
- Department of Medicine and Nephrological Center, Medical School, University of Pécs, Pécs, Hungary
| | - Szilard Kun
- Department of Medicine and Nephrological Center, Medical School, University of Pécs, Pécs, Hungary
| | - Mercédesz Ahmann
- Doctoral School of Health Sciences, Faculty of Health Science, University of Pécs, Pécs, Hungary
| | - Attila Konyi
- Heart Institute, Medical School, University of Pécs, Pécs, Hungary
| | - Zsófia Verzár
- Doctoral School of Health Sciences, Faculty of Health Science, University of Pécs, Pécs, Hungary
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Mehta A, Liu C, Nayak A, Tahhan AS, Ko YA, Dhindsa DS, Kim JH, Hayek SS, Sperling LS, Mehta PK, Sun YV, Uppal K, Jones DP, Quyyumi AA. Untargeted high-resolution plasma metabolomic profiling predicts outcomes in patients with coronary artery disease. PLoS One 2020; 15:e0237579. [PMID: 32810196 PMCID: PMC7444579 DOI: 10.1371/journal.pone.0237579] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 07/29/2020] [Indexed: 12/22/2022] Open
Abstract
Objective Patients with CAD have substantial residual risk of mortality, and whether hitherto unknown small-molecule metabolites and metabolic pathways contribute to this risk is unclear. We sought to determine the predictive value of plasma metabolomic profiling in patients with CAD. Approach and results Untargeted high-resolution plasma metabolomic profiling of subjects undergoing coronary angiography was performed using liquid chromatography/mass spectrometry. Metabolic features and pathways associated with mortality were identified in 454 subjects using metabolome-wide association studies and Mummichog, respectively, and validated in 322 subjects. A metabolomic risk score comprising of log-transformed HR estimates of metabolites that associated with mortality and passed LASSO regression was created and its performance validated. In 776 subjects (66.8 years, 64% male, 17% Black), 433 and 357 features associated with mortality (FDR-adjusted q<0.20); and clustered into 21 and 9 metabolic pathways in first and second cohorts, respectively. Six pathways (urea cycle/amino group, tryptophan, aspartate/asparagine, lysine, tyrosine, and carnitine shuttle) were common. A metabolomic risk score comprising of 7 metabolites independently predicted mortality in the second cohort (HR per 1-unit increase 2.14, 95%CI 1.62, 2.83). Adding the score to a model of clinical predictors improved risk discrimination (delta C-statistic 0.039, 95%CI -0.006, 0.086; and Integrated Discrimination Index 0.084, 95%CI 0.030, 0.151) and reclassification (continuous Net Reclassification Index 23.3%, 95%CI 7.9%, 38.2%). Conclusions Differential regulation of six metabolic pathways involved in myocardial energetics and systemic inflammation is independently associated with mortality in patients with CAD. A novel risk score consisting of representative metabolites is highly predictive of mortality.
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Affiliation(s)
- Anurag Mehta
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Chang Liu
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Aditi Nayak
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Ayman S. Tahhan
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Yi-An Ko
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Devinder S. Dhindsa
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Jeong Hwan Kim
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Salim S. Hayek
- Division of Cardiology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
| | - Laurence S. Sperling
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Puja K. Mehta
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Yan V. Sun
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia
- Atlanta VA Health Care System, Decatur, Georgia
| | - Karan Uppal
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Dean P. Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Arshed A. Quyyumi
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
- * E-mail:
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Zolfaghari Emameh R, Nosrati H, Eftekhari M, Falak R, Khoshmirsafa M. Expansion of Single Cell Transcriptomics Data of SARS-CoV Infection in Human Bronchial Epithelial Cells to COVID-19. Biol Proced Online 2020; 22:16. [PMID: 32754004 PMCID: PMC7377208 DOI: 10.1186/s12575-020-00127-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/21/2020] [Indexed: 02/07/2023] Open
Abstract
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 19 (COVID-19) that was emerged as a new member of coronaviruses since December 2019 in Wuhan, China and then after was spread in all continentals. Since SARS-CoV-2 has shown about 77.5% similarity to SARS-CoV, the transcriptome and immunological regulations of SARS-CoV-2 was expected to have high percentage of overlap with SARS-CoV. Results In this study, we applied the single cell transcriptomics data of human bronchial epithelial cells (2B4 cell line) infected with SARS-CoV, which was annotated in the Expression Atlas database to expand this data to COVID-19. In addition, we employed system biology methods including gene ontology (GO) and Reactome pathway analyses to define functional genes and pathways in the infected cells with SARS-CoV. The transcriptomics analysis on the Expression Atlas database revealed that most genes from infected 2B4 cell line with SARS-CoV were downregulated leading to immune system hyperactivation, induction of signaling pathways, and consequently a cytokine storm. In addition, GO:0016192 (vesicle-mediated transport), GO:0006886 (intracellular protein transport), and GO:0006888 (ER to Golgi vesicle-mediated transport) were shown as top three GOs in the ontology network of infected cells with SARS-CoV. Meanwhile, R-HAS-6807070 (phosphatase and tensin homolog or PTEN regulation) showed the highest association with other Reactome pathways in the network of infected cells with SARS-CoV. PTEN plays a critical role in the activation of dendritic cells, B- and T-cells, and secretion of proinflammatory cytokines, which cooperates with downregulated genes in the promotion of cytokine storm in the COVID-19 patients. Conclusions Based on the high similarity percentage of the transcriptome of SARS-CoV with SARS-CoV-2, the data of immunological regulations, signaling pathways, and proinflammatory cytokines in SARS-CoV infection can be expanded to COVID-19 to have a valid platform for future pharmaceutical and vaccine studies.
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Affiliation(s)
- Reza Zolfaghari Emameh
- Department of Energy and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), 14965/161, Tehran, Iran
| | - Hassan Nosrati
- Department of Materials Engineering, Tarbiat Modares University, Tehran, Iran
| | - Mahyar Eftekhari
- Department of Energy and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), 14965/161, Tehran, Iran
| | - Reza Falak
- Immunology Research Center, Iran University of Medical Sciences, Tehran, Iran.,Immunology Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Khoshmirsafa
- Immunology Research Center, Iran University of Medical Sciences, Tehran, Iran.,Immunology Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Chen WS, Wang CH, Cheng CW, Liu MH, Chu CM, Wu HP, Huang PC, Lin YT, Ko T, Chen WH, Wang HJ, Lee SC, Liang CY. Elevated plasma phenylalanine predicts mortality in critical patients with heart failure. ESC Heart Fail 2020; 7:2884-2893. [PMID: 32618142 PMCID: PMC7524095 DOI: 10.1002/ehf2.12896] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/21/2020] [Accepted: 06/24/2020] [Indexed: 12/17/2022] Open
Abstract
Aims Previous studies found a relationship between elevated phenylalanine levels and poor cardiovascular outcomes. Potential strategies are available to manipulate phenylalanine metabolism. This study investigated whether increased phenylalanine predicted mortality in critical patients with either acute heart failure (HF) or acute on chronic HF, and its correlation with inflammation and immune cytokines. Methods and results This study recruited 152 subjects, including 115 patients with HF admitted for critical conditions and 37 normal controls. We measured left ventricular ejection fraction (LVEF), plasma concentrations of phenylalanine, C‐reactive protein, albumin, pre‐albumin, transferrin, and pro‐inflammatory and immune cytokines. Acute Physiology and Chronic Health Evaluation (APACHE II), Sequential Organ Failure Assessment (SOFA), and maximal vasoactive–inotropic scores (VISmax) were calculated. Patients were followed up until death or a maximum of 1 year. The primary endpoint was all‐cause death. Of the 115 patients, 37 (32.2%) were admitted owing to acute HF, and 78 (67.8%) were admitted owing to acute on chronic HF; 64 (55.7%) had ST elevation/non‐ST elevation myocardial infarction. An LVEF measured during the hospitalization of <40%, 40–50%, and ≥50% was noted in 51 (44.3%), 15 (13.1%), and 49 (42.6%) patients, respectively. During 1 year follow‐up, 51 (44.3%) patients died. Death was associated with higher APACHE II, SOFA, and VISmax scores; higher levels of C‐reactive protein and phenylalanine; higher incidence of atrial fibrillation and use of inotropic agents; lower cholesterol, albumin, pre‐albumin, and transferrin levels; and significant changes in pro‐inflammatory and immune cytokines. Phenylalanine levels demonstrated an area under the receiver operating characteristic curve of 0.80 for mortality, with an optimal cut‐off value set at 112 μM. Phenylalanine ≥ 112 μM was associated with a higher mortality rate than was phenylalanine < 112 μM (80.5% vs. 24.3%, P < 0.001) [hazard ratio = 5.07 (2.83–9.05), P < 0.001]. The Kaplan–Meier curves revealed that phenylalanine ≥ 112 μM was associated with a lower accumulative survival rate (log rank = 36.9, P < 0.001). Higher phenylalanine levels were correlated with higher APACHE II and SOFA scores, higher C‐reactive protein levels and incidence of using inotropic agents, and changes in cytokines suggestive of immunosuppression, but lower levels of pre‐albumin and transferrin. Further multivariable analysis showed that phenylalanine ≥ 112 μM predicted death over 1 year independently of age, APACHE II and SOFA scores, atrial fibrillation, C‐reactive protein, cholesterol, pre‐albumin, transferrin, and interleukin‐8 and interleukin‐10. Conclusions Elevated phenylalanine levels predicted mortality in critical patients, phenotypically predominantly presenting with HF, independently of traditional prognostic factors and cytokines associated with inflammation and immunity.
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Affiliation(s)
- Wei-Siang Chen
- Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.,Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chao-Hung Wang
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chi-Wen Cheng
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Ming-Hui Liu
- Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Chien-Ming Chu
- Division of Pulmonary, Critical Care and Sleep Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Huang-Ping Wu
- Division of Pulmonary, Critical Care and Sleep Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Pao-Chin Huang
- Nutrition Department, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Yi-Tsen Lin
- Nutrition Department, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Ta Ko
- Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.,Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Wen-Hsin Chen
- Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.,Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Huei-Jen Wang
- Department of Nursing, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Shu-Chiu Lee
- Department of Nursing, Chang Gung Memorial Hospital, Keelung, Taiwan
| | - Chung-Yu Liang
- Intensive Care Unit, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Keelung, Taiwan.,Heart Failure Research Center, Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, 222 Mai Chin Road, Keelung, Taoyuan, Taiwan.,Chang Gung University College of Medicine, Taoyuan, Taiwan
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Li J, Hu Y, Liu L, Wang Q, Zeng J, Chen C. PM2.5 exposure perturbs lung microbiome and its metabolic profile in mice. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 721:137432. [PMID: 32169651 DOI: 10.1016/j.scitotenv.2020.137432] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 01/14/2020] [Accepted: 02/18/2020] [Indexed: 06/10/2023]
Abstract
Fine particulate matter (PM2.5) have become a major public health concern because of their adverse effects on health. Lungs are considered the primary organ affected by PM2.5. In order to understand the mechanism underlying PM2.5-induced lung injury, 16S rRNA gene sequencing, and liquid chromatography-mass spectrometry (LC-MS) metabolomics analysis were conducted to investigate the impact of PM2.5 exposure on lung microbiome and its metabolic profile. Mice were exposed to PM2.5 through intratracheal instillation and a lung injury model was established. 16S rRNA gene sequencing indicated that PM2.5 exposure significantly altered the richness, evenness, and composition of the lung microbiome. Metabolomics profiling showed that the levels of lung metabolites were perturbed after PM2.5 exposure. The altered metabolites mainly belonged to metabolic pathways, such as the citrate cycle, glyoxylate and dicarboxylate metabolism, pyruvate metabolism, purine and pyrimidine metabolism, and valine, leucine, and isoleucine metabolism. The altered lung microbiota showed significant correlations with lung metabolites. The levels of fumaric acid negatively correlated with the relative abundance of Ruminococcaceae, Enterobacteriaceae, and Pseudomonadaceae. These results revealed that PM2.5 exposure not only significantly altered the lung microbiome composition but also perturbed a number of metabolites involved in diverse metabolic pathways. This study improves our understanding of the mechanism of lung injury after PM2.5 exposure.
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Affiliation(s)
- Jingli Li
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China
| | - Yiran Hu
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China
| | - Lingjing Liu
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China
| | - Qiang Wang
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China
| | - Jiahao Zeng
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China
| | - Chengshui Chen
- Department of Respiratory and Critical Care Medicine, Wenzhou Medical University First Affiliated Hospital, Wenzhou 325000, Zhejiang, China; The Interventional Pulmonary Key Laboratory of Zhejiang Province, Wenzhou 325000, Zhejiang, China.
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Xu J, Pan T, Qi X, Tan R, Wang X, Liu Z, Tao Z, Qu H, Zhang Y, Chen H, Wang Y, Zhang J, Wang J, Liu J. Increased mortality of acute respiratory distress syndrome was associated with high levels of plasma phenylalanine. Respir Res 2020; 21:99. [PMID: 32354336 PMCID: PMC7193408 DOI: 10.1186/s12931-020-01364-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 04/16/2020] [Indexed: 12/15/2022] Open
Abstract
Background There is a dearth of drug therapies available for the treatment of acute respiratory distress syndrome (ARDS). Certain metabolites play a key role in ARDS and could serve as potential targets for developing therapies against this respiratory disorder. The present study was designed to determine such “functional metabolites” in ARDS using metabolomics and in vivo experiments in a mouse model. Methods Metabolomic profiles of blood plasma from 42 ARDS patients and 28 healthy controls were captured using Ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) assay. Univariate and multivariate statistical analysis were performed on metabolomic profiles from blood plasma of ARDS patients and healthy controls to screen for “functional metabolites”, which were determined by variable importance in projection (VIP) scores and P value. Pathway analysis of all the metabolites was performed. The mouse model of ARDS was established to investigate the role of “functional metabolites” in the lung injury and mortality caused by the respiratory disorder. Results The metabolomic profiles of patients with ARDS were significantly different from healthy controls, difference was also observed between metabolomic profiles of the non-survivors and the survivors among the ARDS patient pool. Levels of Phenylalanine, D-Phenylalanine and Phenylacetylglutamine were significantly increased in non-survivors compared to the survivors of ARDS. Phenylalanine metabolism was the most notably altered pathway between the non-survivors and survivors of ARDS patients. In vivo animal experiments demonstrated that high levels of Phenylalanine might be associated with the severer lung injury and increased mortality of ARDS. Conclusion Increased mortality of acute respiratory distress syndrome was associated with high levels of plasma Phenylalanine. Trial registration Chinese Clinical Trial Registry, ChiCTR1800015930. Registered 29 April 2018, http://www.chictr.org.cn/edit.aspx?pid=25609&htm=4
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Affiliation(s)
- Jing Xu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tingting Pan
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoling Qi
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruoming Tan
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoli Wang
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhaojun Liu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheying Tao
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongping Qu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Hong Chen
- Department of Pulmonary Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yihui Wang
- Department of Emergency Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingjing Zhang
- Department of Gynecology and Obstetrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Wang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialin Liu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Raffone A, Troisi J, Boccia D, Travaglino A, Capuano G, Insabato L, Mollo A, Guida M, Zullo F. Metabolomics in endometrial cancer diagnosis: A systematic review. Acta Obstet Gynecol Scand 2020; 99:1135-1146. [PMID: 32180221 DOI: 10.1111/aogs.13847] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 02/10/2020] [Accepted: 03/09/2020] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Endometrial cancer (EC) is the most common gynecological malignancy in the developed world. The prognosis of EC strongly depends on tumor stage, hence the importance of improving diagnosis. Metabolomics has recently appeared as a promising test for a non-invasive diagnosis of several diseases. Nevertheless, no metabolic marker has been approved for use in the routine practice. We aimed to provide an overview of metabolomics findings in the diagnosis of EC. MATERIAL AND METHODS A systematic review was performed by searching eight electronic databases from their inception to October 2019 for studies assessing metabolomics in EC diagnosis. Extracted data included characteristics of patients and EC, serum concentration of metabolites in women with and without EC and its association with EC diagnosis, tumor behavior and pathological characteristics. RESULTS Six studies with 732 women (356 cases and 376 controls) were included. Several metabolites were found able to predict the presence of EC, tumor behavior (progression and recurrence) and pathological characteristics (histotype, myometrial invasion and lymph vascular space invasion). CONCLUSIONS Metabolomics might be suitable for a non-invasive diagnosis and screening of EC, offering the possibility to predict tumor behavior and pathological characteristics. Further studies are necessary to validate these results.
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Affiliation(s)
- Antonio Raffone
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, Italy.,Theoreo srl, Montecorvino Pugliano, Italy.,European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy
| | - Dominga Boccia
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Antonio Travaglino
- Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Giovanfrancesco Capuano
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Luigi Insabato
- Anatomic Pathology Unit, Department of Advanced Biomedical Sciences, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Antonio Mollo
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", Neuroscience Section, University of Salerno, Baronissi, Italy
| | - Maurizio Guida
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Fulvio Zullo
- Gynecology and Obstetrics Unit, Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
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Urinary Metabolomics around Parturition Identifies Metabolite Alterations in Dairy Cows Affected Postpartum by Lameness: Preliminary Study. DAIRY 2020. [DOI: 10.3390/dairy1010002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
(1) Background: The objective of this study was to evaluate the urine of dairy cows for presence of metabolites with the potential to be used as screening biomarkers for lameness as well as to characterize pre-lame, lame, and post-lame cows from the metabolic prospective. (2) Methods: Six lame and 20 control healthy cows were used in this nested case-control study. Urinary 1H-NMR analysis was used to identify and measure metabolites at five time points including −8 and −4 weeks prepartum, lameness diagnosis week (1–3 weeks postpartum) as well as at +4 and +8 weeks after calving. (3) Results: A total of 90 metabolites were identified and measured in the urine. At −8 and −4 weeks, 27 prepartum metabolites were identified as altered, at both timepoints, with 19 and 5 metabolites excreted at a lower concentration, respectively. Additionally, a total of 8 and 22 metabolites were found at greater concentration in pre-lame cows at −8 and −4 weeks, respectively. Lame cows were identified to excrete, at lower concentrations, seven metabolites during a lameness event with the top five most important metabolites being Tyr, adipate, glycerate, 3-hydroxy-3-methylglutarate, and uracil. Alterations in urinary metabolites also were present at +4 and +8 weeks after calving with N-acetylaspartate, glutamine, imidazole, pantothenate, beta-alanine and trimethylamine, with the greatest VIP (variable importance in projection) score at +4 weeks; and hipurate, pantothenate 1,3-dihydroxyacetone, galactose, and Tyr, with the greatest VIP score at +8 weeks postpartum. (4) Conclusions: Overall, results showed that urine metabotyping can be used to identify cows at risk of lameness and to better characterize lameness from the metabolic prospective. However, caution should be taken in interpretation of the data presented because of the low number of replicates.
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PouralijanAmiri M, Khoshkam M, Madadi R, Kamali K, Faghanzadeh Ganji G, Salek R, Ramazani A. NMR-based plasma metabolic profiling in patients with unstable angina. IRANIAN JOURNAL OF BASIC MEDICAL SCIENCES 2020; 23:311-320. [PMID: 32440317 PMCID: PMC7229510 DOI: 10.22038/ijbms.2020.39979.9475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 09/23/2019] [Indexed: 01/29/2023]
Abstract
OBJECTIVES Unstable angina (UA) is a form of the acute coronary syndrome (ACS) that affects more than a third of the population before age 70. Due to the limitations of diagnostic tests, appropriate identification of UA is difficult. In this study, we proceeded to investigate metabolite profiling in UA patients compared with controls to determine potential candidate biomarkers. MATERIALS AND METHODS Ninety-four plasma samples from UA and 32 samples from controls were analyzed based on 1H NMR spectroscopy. The raw data were processed, analyzed, and subjected to partial least squares-discrimination analysis (PLS-DA), a supervised classification method with a good separation of control and UA patients was observed. The most important variables (VIP) ≥1 were selected and submitted to MetaboAnalyst pathway enrichment to identify the most important ones. RESULTS We identified 17 disturbed metabolites in UA patients in comparison with the controls. These metabolites are involved in various biochemical pathways such as steroid hormone biosynthesis, aminoacyl-tRNA biosynthesis, and lysine degradation. Some of the metabolites were deoxycorticosterone, 17-hydroxyprogesterone, androstenedione, androstanedione, etiocholanolone, estradiol, 2-hydroxyestradiol, 2-hydroxyestrone, 2-methoxyestradiol, and 2-methoxyestrone. In order to determine test applicability in diagnosing UA, a diagnostic model was further created using the receiver operator characteristic (ROC) curve. The areas under the curve (AUC), sensitivity, specificity, and precision were 0.87, 90%, 65%, and 91%, respectively, for diagnosing of UA. CONCLUSION These metabolites could not only be useful for the diagnosis of UA patients but also provide more information for further deciphering of the biological processes of UA.
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Affiliation(s)
- Mohammad PouralijanAmiri
- Department of Genetics & Molecular Medicine, Faculty of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Maryam Khoshkam
- Chemistry Group, Faculty of Basic Sciences, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Reza Madadi
- Department of Cardiology, Mousavi Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Koorosh Kamali
- Zanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
| | | | - Reza Salek
- International Agency for Research on Cancer, 150cours Albert Thomas, 69372 Lyon CEDEX 08, Lyon, France
| | - Ali Ramazani
- Zanjan Metabolic Diseases Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
- Cancer Gene Therapy Research Center, Zanjan University of Medical Sciences, Zanjan, Iran
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Sun Y, Li L, Wu Y, Yang K. PD-1/PD-L1 in cardiovascular disease. Clin Chim Acta 2020; 505:26-30. [PMID: 32084380 DOI: 10.1016/j.cca.2020.02.019] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/16/2020] [Accepted: 02/17/2020] [Indexed: 01/03/2023]
Abstract
The PD-1/PD-L1 coinhibitory pathway has critical roles in the immune response and autoimmunity via the regulation of T cell activity. Excessive activity and high expression of this pathway suppresses the function of T cells and immunity. Recent research has indicated that tumour cells express high levels of PD-L1, which has an immunosuppressive effect and can result in treatment failure. Anti-PD-L1 or anti-PD-1 agents have well-established beneficial effects on mortality and quality of life in cancer patients. Based on the regulatory effects and therapeutic value of the PD-1/PD-L1 pathway in malignant disorders, we propose that it also regulates cell immunity and in CHD and atherosclerosis. Low expression level of PD-1/ PD-L1 or anti-PD-1/PD-L1 therapy accelerates the immune processes in CHD and aggravates disease according to numerous studies. A few studies have provided strong evidence that changes in the expression levels of PD-1 or PD-L1 can alter the degree of inflammation and the state of coronary plaques in atherosclerosis. In this review, we summarise the alterations of the PD-1/PD-L1 pathway and discuss its role in CHD.
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Affiliation(s)
- YunFeng Sun
- Yangtze University Health Science Center, 434020 Jingzhou City, Hubei Province, China
| | - Liang Li
- Yangtze University Health Science Center, 434020 Jingzhou City, Hubei Province, China
| | - YaWei Wu
- Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University, 830000 Urumqi, Xinjiang, China
| | - KePing Yang
- Yangtze University Health Science Center, 434020 Jingzhou City, Hubei Province, China; Department of Cardiology, Jingzhou Central Hospital, 434020 Jingzhou City, Hubei Province, China.
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Balashanmugam MV, Shivanandappa TB, Nagarethinam S, Vastrad B, Vastrad C. Analysis of Differentially Expressed Genes in Coronary Artery Disease by Integrated Microarray Analysis. Biomolecules 2019; 10:biom10010035. [PMID: 31881747 PMCID: PMC7022900 DOI: 10.3390/biom10010035] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 12/13/2019] [Accepted: 12/20/2019] [Indexed: 12/31/2022] Open
Abstract
Coronary artery disease (CAD) is a major cause of end-stage cardiac disease. Although profound efforts have been made to illuminate the pathogenesis, the molecular mechanisms of CAD remain to be analyzed. To identify the candidate genes in the advancement of CAD, microarray dataset GSE23766 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified, and pathway and gene ontology (GO) enrichment analyses were performed. The protein-protein interaction network was constructed and the module analysis was performed using the Biological General Repository for Interaction Datasets (BioGRID) and Cytoscape. Additionally, target genes-miRNA regulatory network and target genes-TF regulatory network were constructed and analyzed. There were 894 DEGs between male human CAD samples and female human CAD samples, including 456 up regulated genes and 438 down regulated genes. Pathway enrichment analyses revealed that DEGs (up and down regulated) were mostly enriched in the superpathway of steroid hormone biosynthesis, ABC transporters, oxidative ethanol degradation III and Complement and coagulation cascades. Similarly, geneontology enrichment analyses revealed that DEGs (up and down regulated) were mostly enriched in the forebrain neuron differentiation, filopodium membrane, platelet degranulation and blood microparticle. In the PPI network and modules (up and down regulated), MYC, NPM1, TRPC7, UBC, FN1, HEMK1, IFT74 and VHL were hub genes. In the target genes-miRNA regulatory network and target genes—TF regulatory network (up and down regulated), TAOK1, KHSRP, HSD17B11 and PAH were target genes. In conclusion, the pathway and GO ontology enriched by DEGs may reveal the molecular mechanism of CAD. Its hub and target genes, MYC, NPM1, TRPC7, UBC, FN1, HEMK1, IFT74, VHL, TAOK1, KHSRP, HSD17B11 and PAH were expected to be new targets for CAD. Our finding provided clues for exploring molecular mechanism and developing new prognostics, diagnostic and therapeutic strategies for CAD.
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Affiliation(s)
- Meenashi Vanathi Balashanmugam
- Department of Biomedical Sciences, College of Pharmacy, Shaqra University, Al Dawadmi 11911, Saudi Arabia; (M.V.B.); (T.B.S.); (S.N.)
| | - Thippeswamy Boreddy Shivanandappa
- Department of Biomedical Sciences, College of Pharmacy, Shaqra University, Al Dawadmi 11911, Saudi Arabia; (M.V.B.); (T.B.S.); (S.N.)
| | - Sivagurunathan Nagarethinam
- Department of Biomedical Sciences, College of Pharmacy, Shaqra University, Al Dawadmi 11911, Saudi Arabia; (M.V.B.); (T.B.S.); (S.N.)
| | - Basavaraj Vastrad
- Department of Pharmaceutics, SET’S College of Pharmacy, Dharwad, Karnataka 580002, India;
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka
- Correspondence: ; Tel.: +91-9480-073398
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Guľašová Z, Guerreiro SG, Link R, Soares R, Tomečková V. Tackling endothelium remodeling in cardiovascular disease. J Cell Biochem 2019; 121:938-945. [DOI: 10.1002/jcb.29379] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 03/15/2019] [Indexed: 01/19/2023]
Affiliation(s)
- Zuzana Guľašová
- Department of Experimental Medicine, Faculty of Medicine University of Pavol Jozef Šafárik in Košice Košice Slovakia
| | - Susana G. Guerreiro
- Departamento de Biomedicina, Unidade de Bioquímica, Faculty of Medicine University of Porto Porto Portugal
- I3S, Instituto de Investigação e Inovação em Saúde University of Porto Porto Portugal
- Faculdade de Ciências da Nutrição e Alimentação University of Porto Porto Portugal
| | - Rene Link
- Department of Experimental Medicine, Faculty of Medicine University of Pavol Jozef Šafárik in Košice Košice Slovakia
| | - Raquel Soares
- Departamento de Biomedicina, Unidade de Bioquímica, Faculty of Medicine University of Porto Porto Portugal
- I3S, Instituto de Investigação e Inovação em Saúde University of Porto Porto Portugal
| | - Vladimíra Tomečková
- Department of Medical and Clinical Biochemistry, Faculty of Medicine University of Pavol Jozef Šafárik in Košice Košice Slovakia
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Isolation and identification of anti-periodontitis ingredients in Lactobacillus paracasei subsp. paracasei NTU 101-fermented skim milk in vitro. J Funct Foods 2019. [DOI: 10.1016/j.jff.2019.103449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
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