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Ryan M, Raby E, Whiley L, Masuda R, Lodge S, Nitschke P, Maker GL, Wist J, Holmes E, Wood FM, Nicholson JK, Fear MW, Gray N. Nonsevere Burn Induces a Prolonged Systemic Metabolic Phenotype Indicative of a Persistent Inflammatory Response Postinjury. J Proteome Res 2024; 23:2893-2907. [PMID: 38104259 PMCID: PMC11302432 DOI: 10.1021/acs.jproteome.3c00516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Indexed: 12/19/2023]
Abstract
Globally, burns are a significant cause of injury that can cause substantial acute trauma as well as lead to increased incidence of chronic comorbidity and disease. To date, research has primarily focused on the systemic response to severe injury, with little in the literature reported on the impact of nonsevere injuries (<15% total burn surface area; TBSA). To elucidate the metabolic consequences of a nonsevere burn injury, longitudinal plasma was collected from adults (n = 35) who presented at hospital with a nonsevere burn injury at admission, and at 6 week follow up. A cross-sectional baseline sample was also collected from nonburn control participants (n = 14). Samples underwent multiplatform metabolic phenotyping using 1H nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry to quantify 112 lipoprotein and glycoprotein signatures and 852 lipid species from across 20 subclasses. Multivariate data modeling (orthogonal projections to latent structures-discriminate analysis; OPLS-DA) revealed alterations in lipoprotein and lipid metabolism when comparing the baseline control to hospital admission samples, with the phenotypic signature found to be sustained at follow up. Univariate (Mann-Whitney U) testing and OPLS-DA indicated specific increases in GlycB (p-value < 1.0e-4), low density lipoprotein-2 subfractions (variable importance in projection score; VIP > 6.83e-1) and monoacyglyceride (20:4) (p-value < 1.0e-4) and decreases in circulating anti-inflammatory high-density lipoprotein-4 subfractions (VIP > 7.75e-1), phosphatidylcholines, phosphatidylglycerols, phosphatidylinositols, and phosphatidylserines. The results indicate a persistent systemic metabolic phenotype that occurs even in cases of a nonsevere burn injury. The phenotype is indicative of an acute inflammatory profile that continues to be sustained postinjury, suggesting an impact on systems health beyond the site of injury. The phenotypes contained metabolic signatures consistent with chronic inflammatory states reported to have an elevated incidence postburn injury. Such phenotypic signatures may provide patient stratification opportunities, to identify individual responses to injury, personalize intervention strategies, and improve acute care, reducing the risk of chronic comorbidity.
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Affiliation(s)
- Monique
J. Ryan
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Edward Raby
- Burns
Service of Western Australia, WA Department
of Health, Murdoch, Western Australia 6150, Australia
- Department
of Microbiology, PathWest Laboratory Medicine, Perth, Western Australia 6009, Australia
- Department
of Infectious Diseases, Fiona Stanley Hospital, Perth, Western Australia 6150, Australia
| | - Luke Whiley
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Reika Masuda
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Samantha Lodge
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Philipp Nitschke
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Garth L. Maker
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
| | - Julien Wist
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Elaine Holmes
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Department
of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, United Kingdom
| | - Fiona M. Wood
- Burns
Service of Western Australia, WA Department
of Health, Murdoch, Western Australia 6150, Australia
- Burn
Injury Research Unit, School of Biomedical Sciences, University of Western Australia, Perth, Western Australia 6009, Australia
- Fiona
Wood Foundation, Perth, Western Australia 6150, Australia
| | - Jeremy K. Nicholson
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Institute
of Global Health Innovation, Imperial College
London, London SW7 2AZ, United Kingdom
| | - Mark W. Fear
- Burn
Injury Research Unit, School of Biomedical Sciences, University of Western Australia, Perth, Western Australia 6009, Australia
- Fiona
Wood Foundation, Perth, Western Australia 6150, Australia
| | - Nicola Gray
- Australian
National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute,
Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
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Lodge S, Litton E, Gray N, Ryan M, Millet O, Fear M, Raby E, Currie A, Wood F, Holmes E, Wist J, Nicholson JK. Stratification of Sepsis Patients on Admission into the Intensive Care Unit According to Differential Plasma Metabolic Phenotypes. J Proteome Res 2024; 23:1328-1340. [PMID: 38513133 PMCID: PMC11002934 DOI: 10.1021/acs.jproteome.3c00803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/15/2024] [Accepted: 03/07/2024] [Indexed: 03/23/2024]
Abstract
Delayed diagnosis of patients with sepsis or septic shock is associated with increased mortality and morbidity. UPLC-MS and NMR spectroscopy were used to measure panels of lipoproteins, lipids, biogenic amines, amino acids, and tryptophan pathway metabolites in blood plasma samples collected from 152 patients within 48 h of admission into the Intensive Care Unit (ICU) where 62 patients had no sepsis, 71 patients had sepsis, and 19 patients had septic shock. Patients with sepsis or septic shock had higher concentrations of neopterin and lower levels of HDL cholesterol and phospholipid particles in comparison to nonsepsis patients. Septic shock could be differentiated from sepsis patients based on different concentrations of 10 lipids, including significantly lower concentrations of five phosphatidylcholine species, three cholesterol esters, one dihydroceramide, and one phosphatidylethanolamine. The Supramolecular Phospholipid Composite (SPC) was reduced in all ICU patients, while the composite markers of acute phase glycoproteins were increased in the sepsis and septic shock patients within 48 h admission into ICU. We show that the plasma metabolic phenotype obtained within 48 h of ICU admission is diagnostic for the presence of sepsis and that septic shock can be differentiated from sepsis based on the lipid profile.
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Affiliation(s)
- Samantha Lodge
- Australian
National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Center
for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Edward Litton
- Intensive
Care Unit, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
- Intensive
Care Unit, St John of God Hospital, Subiaco, WA 6009, Australia
- School
of Medicine, University of Western Australia, Crawley, WA 6009, Australia
| | - Nicola Gray
- Australian
National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Center
for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Monique Ryan
- Australian
National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Center
for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
| | - Oscar Millet
- Precision
Medicine and Metabolism Laboratory, CIC
bioGUNE, Parque Tecnológico
de Bizkaia, Bld. 800, Derio 48160, Spain
| | - Mark Fear
- Burn
Injury Research Unit, School of Biomedical Sciences, University of Western Australia, Perth, WA 6009, Australia
- Fiona
Wood Foundation, Perth, WA 6150, Australia
| | - Edward Raby
- Department
of Infectious Diseases, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
| | - Andrew Currie
- School
of Medical, Molecular & Forensic Sciences, Murdoch University, Perth, WA 6150, Australia
- Centre
for Molecular Medicine & Innovative Therapeutics, Murdoch University, Perth, WA 6150, Australia
- Wesfarmers
Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, University of Western Australia, Perth, WA 6009, Australia
| | - Fiona Wood
- Burn
Injury Research Unit, School of Biomedical Sciences, University of Western Australia, Perth, WA 6009, Australia
- Fiona
Wood Foundation, Perth, WA 6150, Australia
- Burns
service of Western Australia, WA Department
of Health, Murdoch, WA 6150, Australia
| | - Elaine Holmes
- Center
for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Institute
of Global Health Innovation, Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, U.K.
| | - Julien Wist
- Australian
National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Center
for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA 6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
- Department of Metabolism, Digestion and
Reproduction, Faculty of Medicine, Imperial
College London, Sir Alexander
Fleming Building, South Kensington, London SW7 2AZ, U.K.
| | - Jeremy K. Nicholson
- Australian
National Phenome Center, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Department of Metabolism, Digestion and
Reproduction, Faculty of Medicine, Imperial
College London, Sir Alexander
Fleming Building, South Kensington, London SW7 2AZ, U.K.
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Sala S, Nitschke P, Masuda R, Gray N, Lawler NG, Wood JM, Buckler JN, Berezhnoy G, Bolaños J, Boughton BA, Lonati C, Rössler T, Singh Y, Wilson ID, Lodge S, Morillon AC, Loo RL, Hall D, Whiley L, Evans GB, Grove TL, Almo SC, Harris LD, Holmes E, Merle U, Trautwein C, Nicholson JK, Wist J. Integrative Molecular Structure Elucidation and Construction of an Extended Metabolic Pathway Associated with an Ancient Innate Immune Response in COVID-19 Patients. J Proteome Res 2024; 23:956-970. [PMID: 38310443 PMCID: PMC10913068 DOI: 10.1021/acs.jproteome.3c00654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/01/2023] [Accepted: 12/29/2023] [Indexed: 02/05/2024]
Abstract
We present compelling evidence for the existence of an extended innate viperin-dependent pathway, which provides crucial evidence for an adaptive response to viral agents, such as SARS-CoV-2. We show the in vivo biosynthesis of a family of novel endogenous cytosine metabolites with potential antiviral activities. Two-dimensional nuclear magnetic resonance (NMR) spectroscopy revealed a characteristic spin-system motif, indicating the presence of an extended panel of urinary metabolites during the acute viral replication phase. Mass spectrometry additionally enabled the characterization and quantification of the most abundant serum metabolites, showing the potential diagnostic value of the compounds for viral infections. In total, we unveiled ten nucleoside (cytosine- and uracil-based) analogue structures, eight of which were previously unknown in humans allowing us to propose a new extended viperin pathway for the innate production of antiviral compounds. The molecular structures of the nucleoside analogues and their correlation with an array of serum cytokines, including IFN-α2, IFN-γ, and IL-10, suggest an association with the viperin enzyme contributing to an ancient endogenous innate immune defense mechanism against viral infection.
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Affiliation(s)
- Samuele Sala
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Philipp Nitschke
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Reika Masuda
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Nicola Gray
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Nathan G. Lawler
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - James M. Wood
- Ferrier
Research Institute, Victoria University
of Wellington, Wellington 6012, New Zealand
- The
Maurice Wilkins Centre for Molecular Biodiscovef Wellington, Welry, The University of Auckland, Auckland 1010, New Zealand
| | - Joshua N. Buckler
- Ferrier
Research Institute, Victoria University
of Wellington, Wellington 6012, New Zealand
| | - Georgy Berezhnoy
- Department
of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University Hospital Tübingen, 72074 Tübingen, Germany
| | - Jose Bolaños
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Berin A. Boughton
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Caterina Lonati
- Center
for Preclinical Research, Fondazione IRCCS
Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Titus Rössler
- Department
of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University Hospital Tübingen, 72074 Tübingen, Germany
| | - Yogesh Singh
- Institute
of Medical Genetics and Applied Genomics, University Hospital Tübingen, 72074 Tübingen, Germany
| | - Ian D. Wilson
- Division
of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, Burlington Danes Building, Du Cane Road, London W12 0NN, U.K.
| | - Samantha Lodge
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Aude-Claire Morillon
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Ruey Leng Loo
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Drew Hall
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Luke Whiley
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
| | - Gary B. Evans
- Ferrier
Research Institute, Victoria University
of Wellington, Wellington 6012, New Zealand
- The
Maurice Wilkins Centre for Molecular Biodiscovef Wellington, Welry, The University of Auckland, Auckland 1010, New Zealand
| | - Tyler L. Grove
- Department
of Biochemistry, Albert Einstein College
of Medicine, Bronx, New York 10461, United States
| | - Steven C. Almo
- Department
of Biochemistry, Albert Einstein College
of Medicine, Bronx, New York 10461, United States
| | - Lawrence D. Harris
- Ferrier
Research Institute, Victoria University
of Wellington, Wellington 6012, New Zealand
- The
Maurice Wilkins Centre for Molecular Biodiscovef Wellington, Welry, The University of Auckland, Auckland 1010, New Zealand
| | - Elaine Holmes
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
- Division
of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College, Burlington Danes Building, Du Cane Road, London W12 0NN, U.K.
| | - Uta Merle
- Department
of Internal Medicine IV, University Hospital
Heidelberg, 69120 Heidelberg, Germany
| | - Christoph Trautwein
- Department
of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, University Hospital Tübingen, 72074 Tübingen, Germany
| | - Jeremy K. Nicholson
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
- Institute
of Global Health Innovation, Faculty of
Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London SW7 2NA, U.K.
| | - Julien Wist
- The
Australian National Phenome Centre and Computational and Systems Medicine,
Health Futures Institute, Murdoch University, Harry Perkins Building, Perth WA6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
- Faculty of Medicine, Department of Metabolism,
Digestion and Reproduction,
Division of Digestive Diseases at Imperial College, London SW7 2AZ, U.K.
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Shuai W, Wu X, Chen C, Zuo E, Chen X, Li Z, Lv X, Wu L, Chen C. Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning. Photodiagnosis Photodyn Ther 2024; 45:103885. [PMID: 37931694 DOI: 10.1016/j.pdpdt.2023.103885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 09/26/2023] [Accepted: 11/03/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE Rheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rheumatic diseases that negatively affect activities of daily living and can lead to structural and functional disability, reduced quality of life. Here, this study utilized Fourier transform infrared (FTIR) spectroscopy on dried serum samples and achieved early diagnosis of rheumatoid arthritis and ankylosing spondylitis based on deep learning models. METHOD A total of 243 dried serum samples were collected in this study, including 81 samples each from ankylosing spondylitis, rheumatoid arthritis, and healthy controls. Three multi-scale convolutional modules with different specifications were designed based on the multi-scale convolutional neural network (MSCNN) to effectively fuse the local features to enhance the generalization ability of the model. The FTIR was then combined with the MSCNN model to achieve a non-invasive, fast, and accurate diagnosis of ankylosing spondylitis, rheumatoid arthritis, and healthy controls. RESULTS Spectral analysis shows that the curves and waveforms of the three spectral graphs are similar. The main differences are distributed in the spectral regions of 3300-3250 cm-1, 3000-2800 cm-1, 1750-1500 cm-1, and 1500-1300 cm-1, which represent: Amides, fatty acids, cholesterol, proteins with a carboxyl group, amide II, free amino acids, and polysaccharides. Four classification models, namely artificial neural network (ANN), convolutional neural network (CNN), improved AlexNet model, and multi-scale convolutional neural network (MSCNN) were established. Through comparison, it was found that the diagnostic AUC value of the MSCNN model was 0.99, and the accuracy rate was as high as 0.93, which was much higher than the other three models. CONCLUSION The study demonstrated the superiority of MSCNN in distinguishing ankylosing spondylitis from rheumatoid arthritis and healthy controls. FTIR may become a rapid, sensitive, and non-invasive means of diagnosing rheumatism.
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Affiliation(s)
- Wei Shuai
- College of Software, Xinjiang University, Urumqi, China
| | - Xue Wu
- Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China; Xinjiang Clinical Research Center for Rheumatoid arthritis, Urumqi, China
| | - Chen Chen
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| | - Enguang Zuo
- College of Information Science and Engineering, Xinjiang University, Urumqi, China
| | - Xiaomei Chen
- Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China; Xinjiang Clinical Research Center for Rheumatoid arthritis, Urumqi, China
| | - Zhengfang Li
- Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China; Xinjiang Clinical Research Center for Rheumatoid arthritis, Urumqi, China
| | - Xiaoyi Lv
- College of Software, Xinjiang University, Urumqi, China; Key Laboratory of signal detection and processing, Xinjiang University, Urumqi, China
| | - Lijun Wu
- Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China; Xinjiang Clinical Research Center for Rheumatoid arthritis, Urumqi, China.
| | - Cheng Chen
- College of Software, Xinjiang University, Urumqi, China.
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5
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Rowley CE, Lodge S, Egan S, Itsiopoulos C, Christophersen CT, Silva D, Kicic-Starcevich E, O’Sullivan TA, Wist J, Nicholson J, Frost G, Holmes E, D’Vaz N. Altered dietary behaviour during pregnancy impacts systemic metabolic phenotypes. Front Nutr 2023; 10:1230480. [PMID: 38111603 PMCID: PMC10725961 DOI: 10.3389/fnut.2023.1230480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/25/2023] [Indexed: 12/20/2023] Open
Abstract
Rationale Evidence suggests consumption of a Mediterranean diet (MD) can positively impact both maternal and offspring health, potentially mediated by a beneficial effect on inflammatory pathways. We aimed to apply metabolic profiling of serum and urine samples to assess differences between women who were stratified into high and low alignment to a MD throughout pregnancy and investigate the relationship of the diet to inflammatory markers. Methods From the ORIGINS cohort, 51 pregnant women were stratified for persistent high and low alignment to a MD, based on validated MD questionnaires. 1H Nuclear Magnetic Resonance (NMR) spectroscopy was used to investigate the urine and serum metabolite profiles of these women at 36 weeks of pregnancy. The relationship between diet, metabolite profile and inflammatory status was investigated. Results There were clear differences in both the food choice and metabolic profiles of women who self-reported concordance to a high (HMDA) and low (LMDA) Mediterranean diet, indicating that alignment with the MD was associated with a specific metabolic phenotype during pregnancy. Reduced meat intake and higher vegetable intake in the HMDA group was supported by increased levels of urinary hippurate (p = 0.044) and lower creatine (p = 0.047) levels. Serum concentrations of the NMR spectroscopic inflammatory biomarkers GlycA (p = 0.020) and GlycB (p = 0.016) were significantly lower in the HDMA group and were negatively associated with serum acetate, histidine and isoleucine (p < 0.05) suggesting a greater level of plant-based nutrients in the diet. Serum branched chain and aromatic amino acids were positively associated with the HMDA group while both urinary and serum creatine, urine creatinine and dimethylamine were positively associated with the LMDA group. Conclusion Metabolic phenotypes of pregnant women who had a high alignment with the MD were significantly different from pregnant women who had a poor alignment with the MD. The metabolite profiles aligned with reported food intake. Differences were most significant biomarkers of systemic inflammation and selected gut-microbial metabolites. This research expands our understanding of the mechanisms driving health outcomes during the perinatal period and provides additional biomarkers for investigation in pregnant women to assess potential health risks.
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Affiliation(s)
- Charlotte E. Rowley
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Samantha Lodge
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Siobhon Egan
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | | | - Claus T. Christophersen
- WA Human Microbiome Collaboration Centre, Curtin University, Bentley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Desiree Silva
- Telethon Kids Institute, Perth Children’s Hospital, Nedlands, WA, Australia
- Joondalup Health Campus, Joondalup, WA, Australia
| | | | - Therese A. O’Sullivan
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Julien Wist
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Chemistry Department, Universidad del Valle, Cali, Colombia
| | - Jeremy Nicholson
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Imperial College London, Institute of Global Health Innovation, London, United Kingdom
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Gary Frost
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Elaine Holmes
- Australian National Phenome Centre, and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Imperial College London, Institute of Global Health Innovation, London, United Kingdom
- Section of Nutrition Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Nina D’Vaz
- Telethon Kids Institute, Perth Children’s Hospital, Nedlands, WA, Australia
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6
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Stadler JT, Habisch H, Prüller F, Mangge H, Bärnthaler T, Kargl J, Pammer A, Holzer M, Meissl S, Rani A, Madl T, Marsche G. HDL-Related Parameters and COVID-19 Mortality: The Importance of HDL Function. Antioxidants (Basel) 2023; 12:2009. [PMID: 38001862 PMCID: PMC10669705 DOI: 10.3390/antiox12112009] [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: 10/12/2023] [Revised: 11/03/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023] Open
Abstract
COVID-19, caused by the SARS-CoV-2 coronavirus, emerged as a global pandemic in late 2019, resulting in significant global public health challenges. The emerging evidence suggests that diminished high-density lipoprotein (HDL) cholesterol levels are associated with the severity of COVID-19, beyond inflammation and oxidative stress. Here, we used nuclear magnetic resonance spectroscopy to compare the lipoprotein and metabolic profiles of COVID-19-infected patients with non-COVID-19 pneumonia. We compared the control group and the COVID-19 group using inflammatory markers to ensure that the differences in lipoprotein levels were due to COVID-19 infection. Our analyses revealed supramolecular phospholipid composite (SPC), phenylalanine, and HDL-related parameters as key discriminators between COVID-19-positive and non-COVID-19 pneumonia patients. More specifically, the levels of HDL parameters, including apolipoprotein A-I (ApoA-I), ApoA-II, HDL cholesterol, and HDL phospholipids, were significantly different. These findings underscore the potential impact of HDL-related factors in patients with COVID-19. Significantly, among the HDL-related metrics, the cholesterol efflux capacity (CEC) displayed the strongest negative association with COVID-19 mortality. CEC is a measure of how well HDL removes cholesterol from cells, which may affect the way SARS-CoV-2 enters cells. In summary, this study validates previously established markers of COVID-19 infection and further highlights the potential significance of HDL functionality in the context of COVID-19 mortality.
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Affiliation(s)
- Julia T. Stadler
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Hansjörg Habisch
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (H.H.); (T.M.)
| | - Florian Prüller
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria;
| | - Harald Mangge
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria;
| | - Thomas Bärnthaler
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Julia Kargl
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
- BioTechMed Graz, 8010 Graz, Austria
| | - Anja Pammer
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Michael Holzer
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Sabine Meissl
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Alankrita Rani
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
| | - Tobias Madl
- Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (H.H.); (T.M.)
- BioTechMed Graz, 8010 Graz, Austria
| | - Gunther Marsche
- Division of Pharmacology, Otto Loewi Research Center, Medical University of Graz, Neue Stiftingtalstraße 6, 8010 Graz, Austria; (J.T.S.); (T.B.); (J.K.); (A.P.); (M.H.); (S.M.); (A.R.)
- BioTechMed Graz, 8010 Graz, Austria
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7
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Kazenwadel J, Berezhnoy G, Cannet C, Schäfer H, Geisler T, Rohlfing AK, Gawaz M, Merle U, Trautwein C. Stratification of hypertension and SARS-CoV-2 infection by quantitative NMR spectroscopy of human blood serum. COMMUNICATIONS MEDICINE 2023; 3:145. [PMID: 37845506 PMCID: PMC11081957 DOI: 10.1038/s43856-023-00365-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 09/12/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Diagnostic approaches like the nuclear magnetic resonance spectroscopy (NMR) based quantification of metabolites, lipoproteins, and inflammation markers has helped to identify typical alterations in the blood serum of COVID-19 patients. However, confounders such as sex, and comorbidities, which strongly influence the metabolome, were often not considered. Therefore, the aim of this NMR study was to consider sex, as well as arterial hypertension (AHT), when investigating COVID-19-positive serum samples in a large age-and sex matched cohort. METHODS NMR serum data from 329 COVID-19 patients were compared with 305 healthy controls. 134 COVID-19 patients were affected by AHT. These were analyzed together with NMR data from 58 hypertensives without COVID-19. In addition to metabolite, lipoprotein, and glycoprotein data from NMR, common laboratory parameters were considered. Sex was considered in detail for all comparisons. RESULTS Here, we show that several differences emerge from previous NMR COVID-19 studies when AHT is considered. Especially, the previously described triglyceride-rich lipoprotein profile is no longer observed in COVID-19 patients, nor an increase in ketone bodies. Further alterations are a decrease in glutamine, leucine, isoleucine, and lysine, citric acid, HDL-4 particles, and total cholesterol. Additionally, hypertensive COVID-19 patients show higher inflammatory NMR parameters than normotensive patients. CONCLUSIONS We present a more precise picture of COVID-19 blood serum parameters. Accordingly, considering sex and comorbidities should be included in future metabolomics studies for improved and refined patient stratification. Due to metabolic similarities with other viral infections, these results can be applied to other respiratory diseases in the future.
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Affiliation(s)
- Jasmin Kazenwadel
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Georgy Berezhnoy
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Claire Cannet
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, Ettlingen, Germany
| | - Hartmut Schäfer
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, Ettlingen, Germany
| | - Tobias Geisler
- Department of Internal Medicine III, Cardiology and Angiology, University Hospital Tübingen, Tübingen, Germany
| | - Anne-Katrin Rohlfing
- Department of Internal Medicine III, Cardiology and Angiology, University Hospital Tübingen, Tübingen, Germany
| | - Meinrad Gawaz
- Department of Internal Medicine III, Cardiology and Angiology, University Hospital Tübingen, Tübingen, Germany
| | - Uta Merle
- Department of Internal Medicine IV, University Hospital Heidelberg, Heidelberg, Germany
| | - Christoph Trautwein
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, Tübingen, Germany.
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8
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Mallagaray A, Rudolph L, Lindloge M, Mölbitz J, Thomsen H, Schmelter F, Alhabash MW, Abdullah MR, Saraei R, Ehlers M, Graf T, Sina C, Petersmann A, Nauck M, Günther UL. Towards a Precise NMR Quantification of Acute Phase Inflammation Proteins from Human Serum. Angew Chem Int Ed Engl 2023; 62:e202306154. [PMID: 37341676 DOI: 10.1002/anie.202306154] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 06/22/2023]
Abstract
Nuclear Magnetic Resonance (NMR) spectra of human serum and plasma show, besides metabolites and lipoproteins, two characteristic signals termed GlycA and B arising from the acetyl groups of glycoprotein glycans from acute phase proteins, which constitute good markers for inflammatory processes. Here, we report a comprehensive assignment of glycoprotein glycan NMR signals observed in human serum, showing that GlycA and GlycB signals originate from Neu5Ac and GlcNAc moieties from N-glycans, respectively. Diffusion-edited NMR experiments demonstrate that signal components can be associated with specific acute phase proteins. Conventionally determined concentrations of acute phase glycoproteins correlate well with distinct features in NMR spectra (R2 up to 0.9422, p-value <0.001), allowing the simultaneous quantification of several acute phase inflammation proteins. Overall, a proteo-metabolomics NMR signature of significant diagnostic potential is obtained within 10-20 min acquisition time. This is exemplified in serum samples from COVID-19 and cardiogenic shock patients showing significant changes in several acute phase proteins compared to healthy controls.
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Affiliation(s)
- Alvaro Mallagaray
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Lorena Rudolph
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Melissa Lindloge
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Jarne Mölbitz
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Henrik Thomsen
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Franziska Schmelter
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Mohamad Ward Alhabash
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Mohammed R Abdullah
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
| | - Roza Saraei
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Marc Ehlers
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Tobias Graf
- Department of Cardiology, Angiology and Intensive Care Medicine, University Heart Center Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Lübeck, Germany
| | - Christian Sina
- Institute of Nutritional Medicine, University of Lübeck and Medical Center Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (IMTE), Mönkhofer Weg 239 a, 23538, Lübeck, Germany
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, Carl von Ossietzky University, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, Greifswald University Hospital, Fleischmannstraße 8, 17475, Greifswald, Germany
- German Centre for Cardiogenic Vascular Research (DZHK), Partner Site Greifswald, University Medicine, Greifswald, Germany
| | - Ulrich L Günther
- Institute of Chemistry and Metabolomics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
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9
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Begum S, Lodge S, Hall D, Johnson BZ, Bong SH, Whiley L, Gray N, Fear VS, Fear MW, Holmes E, Wood FM, Nicholson JK. Cardiometabolic disease risk markers are increased following burn injury in children. Front Public Health 2023; 11:1105163. [PMID: 37333522 PMCID: PMC10275366 DOI: 10.3389/fpubh.2023.1105163] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/11/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Burn injury in children causes prolonged systemic effects on physiology and metabolism leading to increased morbidity and mortality, yet much remains undefined regarding the metabolic trajectory towards specific health outcomes. Methods A multi-platform strategy was implemented to evaluate the long-term immuno-metabolic consequences of burn injury combining metabolite, lipoprotein, and cytokine panels. Plasma samples from 36 children aged 4-8 years were collected 3 years after a burn injury together with 21 samples from non-injured age and sex matched controls. Three different 1H Nuclear Magnetic Resonance spectroscopic experiments were applied to capture information on plasma low molecular weight metabolites, lipoproteins, and α-1-acid glycoprotein. Results Burn injury was characterized by underlying signatures of hyperglycaemia, hypermetabolism and inflammation, suggesting disruption of multiple pathways relating to glycolysis, tricarboxylic acid cycle, amino acid metabolism and the urea cycle. In addition, very low-density lipoprotein sub-components were significantly reduced in participants with burn injury whereas small-dense low density lipoprotein particles were significantly elevated in the burn injured patient plasma compared to uninjured controls, potentially indicative of modified cardiometabolic risk after a burn. Weighted-node Metabolite Correlation Network Analysis was restricted to the significantly differential features (q <0.05) between the children with and without burn injury and demonstrated a striking disparity in the number of statistical correlations between cytokines, lipoproteins, and small molecular metabolites in the injured groups, with increased correlations between these groups. Discussion These findings suggest a 'metabolic memory' of burn defined by a signature of interlinked and perturbed immune and metabolic function. Burn injury is associated with a series of adverse metabolic changes that persist chronically and are independent of burn severity and this study demonstrates increased risk of cardiovascular disease in the long-term. These findings highlight a crucial need for improved longer term monitoring of cardiometabolic health in a vulnerable population of children that have undergone burn injury.
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Affiliation(s)
- Sofina Begum
- Harvard Medical School, Harvard University, Boston, MA, United States
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Samantha Lodge
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Drew Hall
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Blair Z. Johnson
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Sze How Bong
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
| | - Luke Whiley
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Perron Institute for Neurological and Translational Science, Nedlands, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Nicola Gray
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Vanessa S. Fear
- Translational Genetics, Telethon Kids Institute, Perth, WA, Australia
| | - Mark W. Fear
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Elaine Holmes
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
| | - Fiona M. Wood
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
- WA Department of Health, Burns Service of Western Australia, Perth, WA, Australia
| | - Jeremy K. Nicholson
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Perth, WA, Australia
- Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, WA, Australia
- Faculty of Medicine, Institute of Global Health Innovation, London, United Kingdom
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10
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Bruzzone C, Conde R, Embade N, Mato JM, Millet O. Metabolomics as a powerful tool for diagnostic, pronostic and drug intervention analysis in COVID-19. Front Mol Biosci 2023; 10:1111482. [PMID: 36876049 PMCID: PMC9975567 DOI: 10.3389/fmolb.2023.1111482] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
COVID-19 currently represents one of the major health challenges worldwide. Albeit its infectious character, with onset affectation mainly at the respiratory track, it is clear that the pathophysiology of COVID-19 has a systemic character, ultimately affecting many organs. This feature enables the possibility of investigating SARS-CoV-2 infection using multi-omic techniques, including metabolomic studies by chromatography coupled to mass spectrometry or by nuclear magnetic resonance (NMR) spectroscopy. Here we review the extensive literature on metabolomics in COVID-19, that unraveled many aspects of the disease including: a characteristic metabotipic signature associated to COVID-19, discrimination of patients according to severity, effect of drugs and vaccination treatments and the characterization of the natural history of the metabolic evolution associated to the disease, from the infection onset to full recovery or long-term and long sequelae of COVID.
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Affiliation(s)
- Chiara Bruzzone
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - Ricardo Conde
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
| | - José M. Mato
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Basque Research and Technology Alliance (BRTA), Bilbao, Bizkaia, Spain
- CIBERehd, Instituto de Salud Carlos III, Madrid, Spain
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11
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Rössler T, Berezhnoy G, Singh Y, Cannet C, Reinsperger T, Schäfer H, Spraul M, Kneilling M, Merle U, Trautwein C. Quantitative Serum NMR Spectroscopy Stratifies COVID-19 Patients and Sheds Light on Interfaces of Host Metabolism and the Immune Response with Cytokines and Clinical Parameters. Metabolites 2022; 12:metabo12121277. [PMID: 36557315 PMCID: PMC9781847 DOI: 10.3390/metabo12121277] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/08/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
The complex manifestations of COVID-19 are still not fully decoded on the molecular level. We combined quantitative the nuclear magnetic resonance (NMR) spectroscopy serum analysis of metabolites, lipoproteins and inflammation markers with clinical parameters and a targeted cytokine panel to characterize COVID-19 in a large (534 patient samples, 305 controls) outpatient cohort of recently tested PCR-positive patients. The COVID-19 cohort consisted of patients who were predominantly in the initial phase of the disease and mostly exhibited a milder disease course. Concerning the metabolic profiles of SARS-CoV-2-infected patients, we identified markers of oxidative stress and a severe dysregulation of energy metabolism. NMR markers, such as phenylalanine, inflammatory glycoproteins (Glyc) and their ratio with the previously reported supramolecular phospholipid composite (Glyc/SPC), showed a predictive power comparable to laboratory parameters such as C-reactive protein (CRP) or ferritin. We demonstrated interfaces between the metabolism and the immune system, e.g., we could trace an interleukin (IL-6)-induced transformation of a high-density lipoprotein (HDL) to a pro-inflammatory actor. Finally, we showed that metadata such as age, sex and constitution (e.g., body mass index, BMI) need to be considered when exploring new biomarkers and that adding NMR parameters to existing diagnoses expands the diagnostic toolbox for patient stratification and personalized medicine.
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Affiliation(s)
- Titus Rössler
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Georgy Berezhnoy
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Yogesh Singh
- Institute of Medical Genetics & Applied Genomics, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Claire Cannet
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, 76275 Ettlingen, Germany
| | - Tony Reinsperger
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, 76275 Ettlingen, Germany
| | - Hartmut Schäfer
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, 76275 Ettlingen, Germany
| | - Manfred Spraul
- Bruker BioSpin GmbH, Applied Industrial and Clinical Division, 76275 Ettlingen, Germany
| | - Manfred Kneilling
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) “Image-guided and Functionally Instructed Tumor Therapies”, Medical Faculty, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Uta Merle
- Department of Internal Medicine IV, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Christoph Trautwein
- Werner Siemens Imaging Center, Department for Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
- Correspondence:
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12
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An NMR-Based Model to Investigate the Metabolic Phenoreversion of COVID-19 Patients throughout a Longitudinal Study. Metabolites 2022; 12:metabo12121206. [PMID: 36557244 PMCID: PMC9788519 DOI: 10.3390/metabo12121206] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 11/19/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022] Open
Abstract
After SARS-CoV-2 infection, the molecular phenoreversion of the immunological response and its associated metabolic dysregulation are required for a full recovery of the patient. This process is patient-dependent due to the manifold possibilities induced by virus severity, its phylogenic evolution and the vaccination status of the population. We have here investigated the natural history of COVID-19 disease at the molecular level, characterizing the metabolic and immunological phenoreversion over time in large cohorts of hospitalized severe patients (n = 886) and non-hospitalized recovered patients that self-reported having passed the disease (n = 513). Non-hospitalized recovered patients do not show any metabolic fingerprint associated with the disease or immune alterations. Acute patients are characterized by the metabolic and lipidomic dysregulation that accompanies the exacerbated immunological response, resulting in a slow recovery time with a maximum probability of around 62 days. As a manifestation of the heterogeneity in the metabolic phenoreversion, age and severity become factors that modulate their normalization time which, in turn, correlates with changes in the atherogenesis-associated chemokine MCP-1. Our results are consistent with a model where the slow metabolic normalization in acute patients results in enhanced atherosclerotic risk, in line with the recent observation of an elevated number of cardiovascular episodes found in post-COVID-19 cohorts.
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13
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Nitschke P, Lodge S, Hall D, Schaefer H, Spraul M, Embade N, Millet O, Holmes E, Wist J, Nicholson JK. Direct low field J-edited diffusional proton NMR spectroscopic measurement of COVID-19 inflammatory biomarkers in human serum. Analyst 2022; 147:4213-4221. [DOI: 10.1039/d2an01097f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A JEDI NMR pulse experiment incorporating relaxation, diffusion and J-modulation peak editing was implemented at a low field (80 MHz) spectrometer system to quantify two recently discovered plasma markers of SARS-CoV-2 infection and general inflammation.
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Affiliation(s)
- Philipp Nitschke
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Samantha Lodge
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Drew Hall
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
| | - Hartmut Schaefer
- Bruker Biospin GmbH, Rudolf-Plank Strasse 23, 76275 Ettlingen, Germany
| | - Manfred Spraul
- Bruker Biospin GmbH, Rudolf-Plank Strasse 23, 76275 Ettlingen, Germany
| | - Nieves Embade
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio, Spain
| | - Oscar Millet
- Precision Medicine and Metabolism Laboratory, CIC bioGUNE, Parque Tecnológico de Bizkaia, Bld. 800, 48160, Derio, Spain
| | - Elaine Holmes
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, UK
| | - Julien Wist
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Chemistry Department, Universidad del Valle, Cali 76001, Colombia
| | - Jeremy K. Nicholson
- Australian National Phenome Centre and Computational and Systems Medicine, Health Futures Institute, Murdoch University, Harry Perkins Building, Perth, WA6150, Australia
- Institute of Global Health Innovation, Faculty of Medicine, Imperial College London, Level 1, Faculty Building, South Kensington Campus, London, SW7 2NA, UK
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