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Büyüktuna SA, Yerlitaş Sİ, Zararsız GE, Doğan K, Kablan D, Bağcı G, Özer S, Baysal C, Çakır Y, Cephe A, Koçhan N, Zararız G, Doğan HO. Exploring free amino acid profiles in Crimean-Congo hemorrhagic fever patients: Implications for disease progression. J Med Virol 2024; 96:e29637. [PMID: 38773825 DOI: 10.1002/jmv.29637] [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: 12/29/2023] [Revised: 03/29/2024] [Accepted: 04/18/2024] [Indexed: 05/24/2024]
Abstract
This study investigated the intricate interplay between Crimean-Congo hemorrhagic fever virus infection and alterations in amino acid metabolism. The primary aim is to elucidate the impact of Crimean-Congo hemorrhagic fever (CCHF) on specific amino acid concentrations and identify potential metabolic markers associated with viral infection. One hundred ninety individuals participated in this study, comprising 115 CCHF patients, 30 CCHF negative patients, and 45 healthy controls. Liquid chromatography-tandem mass spectrometry techniques were employed to quantify amino acid concentrations. The amino acid metabolic profiles in CCHF patients exhibit substantial distinctions from those in the control group. Patients highlight distinct metabolic reprogramming, notably characterized by arginine, histidine, taurine, glutamic acid, and glutamine metabolism shifts. These changes have been associated with the underlying molecular mechanisms of the disease. Exploring novel therapeutic and diagnostic strategies addressing specific amino acids may offer potential means to mitigate the severity of the disease.
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Affiliation(s)
- Seyit Ali Büyüktuna
- Department of Infectious Disease and Clinical Microbiology, Cumhuriyet University School of Medicine, Sivas, Türkiye
| | - Serra İlayda Yerlitaş
- Department of Biostatistics, Erciyes University School of Medicine, Kayseri, Türkiye
- Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Türkiye
| | - Gözde Ertük Zararsız
- Department of Biostatistics, Erciyes University School of Medicine, Kayseri, Türkiye
- Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Türkiye
| | - Kübra Doğan
- Department of Biochemistry, Minister of Health Sivas Numan Hospital, Sivas, Türkiye
| | - Demet Kablan
- Department of Biochemistry, Cumhuriyet University School of Medicine, Sivas, Türkiye
| | - Gökhan Bağcı
- Faculty of Medicine, Medical Biochemistry, Altinbas University, Istanbul, Türkiye
| | - Selda Özer
- Department of Biochemistry, Cumhuriyet University School of Medicine, Sivas, Türkiye
| | - Cihad Baysal
- Department of Infectious Disease and Clinical Microbiology, Cumhuriyet University School of Medicine, Sivas, Türkiye
| | - Yasemin Çakır
- Department of Infectious Disease and Clinical Microbiology, Cumhuriyet University School of Medicine, Sivas, Türkiye
| | - Ahu Cephe
- Institutional Data Management and Analytics Unit, Erciyes University Rectorate, Kayseri, Türkiye
| | - Necla Koçhan
- İzmir Biomedicine and Genome Center (IBG), İzmir, Türkiye
| | - Gökmen Zararız
- Department of Biostatistics, Erciyes University School of Medicine, Kayseri, Türkiye
- Drug Application and Research Center (ERFARMA), Erciyes University, Kayseri, Türkiye
| | - Halef Okan Doğan
- Department of Biochemistry, Cumhuriyet University School of Medicine, Sivas, Türkiye
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2
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Liu Y, Meng X, Jin X, Wang L, Liu S, Chen S, Du K, Li J, Chang Y. A comprehensive review of the botany, ethnopharmacology, phytochemistry, pharmacology, quality control and other applications of Ligustici Rhizoma et Radix. JOURNAL OF ETHNOPHARMACOLOGY 2024; 323:117687. [PMID: 38163554 DOI: 10.1016/j.jep.2023.117687] [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: 10/14/2023] [Revised: 12/06/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Ligusticum sinense Oliv. and L. jeholense Nakai et Kitag. are globally recognized as medicinal botanical species, specifically the rhizomes and roots. These plant parts are collectively referred to as Ligustici Rhizoma et Radix (LReR), which is recorded in the Pharmacopoeia of the People's Republic of China (Ch. P). LReR enjoys widespread recognition in many countries such as China, Russia, Vietnam, and Korea. It is an herbal remedy traditionally employed for dispelling wind and cold, eliminating dampness, and alleviating pain. Numerous bioactive compounds have been successfully isolated and identified, displaying a diverse array of pharmacological activities and medicinal value. THE AIM OF THE REVIEW This review aims to primarily center on the botanical aspects, ethnopharmacology, phytochemistry, pharmacology, toxicity, quality control, and other applications of LReR to furnish a comprehensive and multidimensional foundation for future exploration and utilization. MATERIALS AND METHODS Relevant information about LReR was acquired from ancient books, doctoral and master's dissertations, Google Scholar, Web of Science, PubMed, China National Knowledge Infrastructure (CNKI), ScienceDirect, classical literature, and clinical reports. Several electronic databases were also incorporated. RESULTS In traditional usage, LReR had been traditionally employed for the treatment of anemofrigid headaches, colds, and joint pain. It possessed therapeutic properties for facial skin disorders, thereby facilitating skin regeneration. It has been subjected to comprehensive chemical analysis, resulting in the identification and isolation of 190 compounds, including phthalides, phenylpropanoids, flavonoids, phenolic acids, triterpenes, steroids, volatile oil, fatty acids, and other constituents. The pharmacological activities have been in-depth explored through modern in vivo and in vitro studies, confirming its anti-inflammatory, analgesic, and anti-melanin effects. Furthermore, it exhibited pharmacological activities such as antioxidant, anticancer, antibacterial, and vasodilatory properties. This study provides a basic to contribute to the advancement of research, medicinal applications and product development related to LReR. CONCLUSIONS Considering its traditional and contemporary applications, phytochemical composition, and pharmacological properties, LReR was regarded as a valuable botanical resource for pharmaceutical and pest control purposes. While certain constituents had demonstrated diverse pharmacological activities and application potential, further elucidation was required to fully understand their specific actions and underlying mechanisms. Hence, there was a need to conduct additional investigations to uncover its material foundation and mode of action.
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Affiliation(s)
- Yang Liu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Xue Meng
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Xingyue Jin
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Lirong Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Suyi Liu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Shujing Chen
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Kunze Du
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Jin Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
| | - Yanxu Chang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Tianjin Key Laboratory of Phytoc Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China.
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3
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Whiley L, Lawler NG, Zeng AX, Lee A, Chin ST, Bizkarguenaga M, Bruzzone C, Embade N, Wist J, Holmes E, Millet O, Nicholson JK, Gray N. Cross-Validation of Metabolic Phenotypes in SARS-CoV-2 Infected Subpopulations Using Targeted Liquid Chromatography-Mass Spectrometry (LC-MS). J Proteome Res 2024; 23:1313-1327. [PMID: 38484742 PMCID: PMC11002931 DOI: 10.1021/acs.jproteome.3c00797] [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: 11/17/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 04/06/2024]
Abstract
To ensure biological validity in metabolic phenotyping, findings must be replicated in independent sample sets. Targeted workflows have long been heralded as ideal platforms for such validation due to their robust quantitative capability. We evaluated the capability of liquid chromatography-mass spectrometry (LC-MS) assays targeting organic acids and bile acids to validate metabolic phenotypes of SARS-CoV-2 infection. Two independent sample sets were collected: (1) Australia: plasma, SARS-CoV-2 positive (n = 20), noninfected healthy controls (n = 22) and COVID-19 disease-like symptoms but negative for SARS-CoV-2 infection (n = 22). (2) Spain: serum, SARS-CoV-2 positive (n = 33) and noninfected healthy controls (n = 39). Multivariate modeling using orthogonal projections to latent structures discriminant analyses (OPLS-DA) classified healthy controls from SARS-CoV-2 positive (Australia; R2 = 0.17, ROC-AUC = 1; Spain R2 = 0.20, ROC-AUC = 1). Univariate analyses revealed 23 significantly different (p < 0.05) metabolites between healthy controls and SARS-CoV-2 positive individuals across both cohorts. Significant metabolites revealed consistent perturbations in cellular energy metabolism (pyruvic acid, and 2-oxoglutaric acid), oxidative stress (lactic acid, 2-hydroxybutyric acid), hypoxia (2-hydroxyglutaric acid, 5-aminolevulinic acid), liver activity (primary bile acids), and host-gut microbial cometabolism (hippuric acid, phenylpropionic acid, indole-3-propionic acid). These data support targeted LC-MS metabolic phenotyping workflows for biological validation in independent sample sets.
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Affiliation(s)
- Luke Whiley
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Nathan G. Lawler
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Annie Xu Zeng
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Alex Lee
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Sung-Tong Chin
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
| | - Maider Bizkarguenaga
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Chiara Bruzzone
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Nieves Embade
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Julien Wist
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Chemistry
Department, Universidad del Valle, Cali 76001, Colombia
| | - Elaine Holmes
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Department
of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial
College London, Sir Alexander Fleming Building, South Kensington, London SW7 2AZ, U.K.
| | - Oscar Millet
- Centro
de Investigación Cooperativa en Biociencias—CIC bioGUNE,
Precision Medicine and Metabolism Laboratory, Basque Research and
Technology Alliance, Bizkaia Science and
Technology Park, Building
800, 48160 Derio, Spain
| | - Jeremy K. Nicholson
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Institute
of Global Health Innovation, Faculty Building South Kensington Campus, Imperial College London, London SW7 2AZ, U.K.
| | - Nicola Gray
- Australian
National Phenome Centre, Health Futures Institute Harry Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
- Centre
for Computational and Systems Medicine, Health Futures Institute Harry
Perkins Institute, Murdoch University, 5 Robin Warren Drive, Perth, WA 6150, Australia
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de Fátima Cobre A, Alves AC, Gotine ARM, Domingues KZA, Lazo REL, Ferreira LM, Tonin FS, Pontarolo R. Novel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. Intern Emerg Med 2024:10.1007/s11739-024-03547-1. [PMID: 38416303 DOI: 10.1007/s11739-024-03547-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024]
Abstract
This study aims to apply machine learning models to identify new biomarkers associated with the early diagnosis and prognosis of SARS-CoV-2 infection.Plasma and serum samples from COVID-19 patients (mild, moderate, and severe), patients with other pneumonia (but with negative COVID-19 RT-PCR), and healthy volunteers (control) from hospitals in four different countries (China, Spain, France, and Italy) were analyzed by GC-MS, LC-MS, and NMR. Machine learning models (PCA and PLS-DA) were developed to predict the diagnosis and prognosis of COVID-19 and identify biomarkers associated with these outcomes.A total of 1410 patient samples were analyzed. The PLS-DA model presented a diagnostic and prognostic accuracy of around 95% of all analyzed data. A total of 23 biomarkers (e.g., spermidine, taurine, L-aspartic, L-glutamic, L-phenylalanine and xanthine, ornithine, and ribothimidine) have been identified as being associated with the diagnosis and prognosis of COVID-19. Additionally, we also identified for the first time five new biomarkers (N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate) that are also associated with the severity and diagnosis of COVID-19. These five new biomarkers were elevated in severe COVID-19 patients compared to patients with mild disease or healthy volunteers.The PLS-DA model was able to predict the diagnosis and prognosis of COVID-19 around 95%. Additionally, our investigation pinpointed five novel potential biomarkers linked to the diagnosis and prognosis of COVID-19: N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. These biomarkers exhibited heightened levels in severe COVID-19 patients compared to those with mild COVID-19 or healthy volunteers.
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Affiliation(s)
| | - Alexessander Couto Alves
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | | | | | | | - Luana Mota Ferreira
- Department of Pharmacy, Universidade Federal do Paraná, Campus III, Av. Pref. Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil
| | - Fernanda Stumpf Tonin
- H&TRC - Health & Technology Research Centre, ESTeSL, Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | - Roberto Pontarolo
- Department of Pharmacy, Universidade Federal do Paraná, Campus III, Av. Pref. Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil.
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5
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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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6
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Ghini V, Vieri W, Celli T, Pecchioli V, Boccia N, Alonso-Vásquez T, Pelagatti L, Fondi M, Luchinat C, Bertini L, Vannucchi V, Landini G, Turano P. COVID-19: A complex disease with a unique metabolic signature. PLoS Pathog 2023; 19:e1011787. [PMID: 37943960 PMCID: PMC10662774 DOI: 10.1371/journal.ppat.1011787] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 11/21/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
Plasma of COVID-19 patients contains a strong metabolomic/lipoproteomic signature, revealed by the NMR analysis of a cohort of >500 patients sampled during various waves of COVID-19 infection, corresponding to the spread of different variants, and having different vaccination status. This composite signature highlights common traits of the SARS-CoV-2 infection. The most dysregulated molecules display concentration trends that scale with disease severity and might serve as prognostic markers for fatal events. Metabolomics evidence is then used as input data for a sex-specific multi-organ metabolic model. This reconstruction provides a comprehensive view of the impact of COVID-19 on the entire human metabolism. The human (male and female) metabolic network is strongly impacted by the disease to an extent dictated by its severity. A marked metabolic reprogramming at the level of many organs indicates an increase in the generic energetic demand of the organism following infection. Sex-specific modulation of immune response is also suggested.
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Affiliation(s)
- Veronica Ghini
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
| | - Walter Vieri
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Tommaso Celli
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Valentina Pecchioli
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
| | - Nunzia Boccia
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Tania Alonso-Vásquez
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Lorenzo Pelagatti
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Marco Fondi
- Department of Biology, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Claudio Luchinat
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino Florence, Italy
| | - Laura Bertini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Vieri Vannucchi
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Giancarlo Landini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Florence, Italy
| | - Paola Turano
- Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino Florence, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino Florence, Italy
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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: 0] [Impact Index Per Article: 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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El-Derany MO, Hanna DMF, Youshia J, Elmowafy E, Farag MA, Azab SS. Metabolomics-directed nanotechnology in viral diseases management: COVID-19 a case study. Pharmacol Rep 2023; 75:1045-1065. [PMID: 37587394 PMCID: PMC10539420 DOI: 10.1007/s43440-023-00517-w] [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: 01/28/2023] [Revised: 07/28/2023] [Accepted: 07/28/2023] [Indexed: 08/18/2023]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently regarded as the twenty-first century's plague accounting for coronavirus disease 2019 (COVID-19). Besides its reported symptoms affecting the respiratory tract, it was found to alter several metabolic pathways inside the body. Nanoparticles proved to combat viral infections including COVID-19 to demonstrate great success in developing vaccines based on mRNA technology. However, various types of nanoparticles can affect the host metabolome. Considering the increasing proportion of nano-based vaccines, this review compiles and analyses how COVID-19 and nanoparticles affect lipids, amino acids, and carbohydrates metabolism. A search was conducted on PubMed, ScienceDirect, Web of Science for available information on the interrelationship between metabolomics and immunity in the context of SARS-CoV-2 infection and the effect of nanoparticles on metabolite levels. It was clear that SARS-CoV-2 disrupted several pathways to ensure a sufficient supply of its building blocks to facilitate its replication. Such information can help in developing treatment strategies against viral infections and COVID-19 based on interventions that overcome these metabolic changes. Furthermore, it showed that even drug-free nanoparticles can exert an influence on biological systems as evidenced by metabolomics.
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Affiliation(s)
- Marwa O El-Derany
- Department of Biochemistry, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Diana M F Hanna
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, 11566, Cairo, Egypt
| | - John Youshia
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Enas Elmowafy
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Kasr El-Aini St., P.B. 11562, Cairo, Egypt
| | - Samar S Azab
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Ain Shams University, 11566, Cairo, Egypt.
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9
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Hüfner K, Vedova S, Tymoszuk P, Nelles P, Bruckner T, Deisenhammer EA, Egeter J, Galffy M, Giesinger JM, Lehmann J, Oberhammer M, Rockenschaub J, Sacher M, Holzner B, Gostner JM, Sperner-Unterweger B. The effect of inflammation, SARS-CoV-2 infection, age and mental health on serotonin, and kynurenine and catecholamine pathway metabolites. Psychoneuroendocrinology 2023; 156:106334. [PMID: 37481962 DOI: 10.1016/j.psyneuen.2023.106334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 06/12/2023] [Accepted: 07/11/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND A high prevalence of mental disorders following COVID-19 has been described. It is therefore essential to elucidate underlying biological mechanisms linking SARS-CoV-2 infection and mental health. The kynurenine and catecholamine metabolic pathways are modulated by inflammation and can affect systemic levels of serotonin and dopamine. Their activity may hence link physical disorders with mental health. We investigated factors that affect kynurenine and catecholamine pathway activity in SARS-CoV-2 infection and recovery. METHODS The cross-sectional SIMMUN (n = 165) and longitudinal INCOV cohort (n = 167, Su et al. 2022) were analyzed. Demographic and clinical characteristic, inflammatory markers, SARS-CoV-2 infection, symptoms of depression and anxiety (HADS), and mental stress (PSS-4) served as explanatory variables. Blood serotonin and markers of kynurenine (kynurenine/tryptophan ratio), and catecholamine pathway activity (dopamine 3-O-sulfate, phenylalanine/tyrosine ratio) were modeled by multi-parameter linear regression. RESULTS In the SIMMUN cohort, the inflammatory marker neopterin (β = 0.47 [95% CI: 0.34-0.61]), SARS-CoV-2-positivity (0.42 [0.16-0.68]), mental stress (0.18 [0.055-0.31]), and age (0.26 [0.12-0.39]) were positively associated with the kynurenine/tryptophan ratio. The phenylalanine/tyrosine ratio was lower in SARS-CoV-2-positive than uninfected participants (-0.38 [-0.68 to -0.08]). In the INCOV cohort, markers of inflammation were associated with lower serotonin (IL6: -0.22 [-0.38 to -0.053]) and dopamine 3-O-sulfate levels (interferon-gamma: -0.15 [-0.26 to -0.036]). Serotonin (0.76 [0.34-1.2]) and dopamine 3-O-sulfate levels (0.63 [0.28-0.99]) were higher during recovery than in acute SARS-CoV-2 infection. CONCLUSION SARS-CoV-2 infection, inflammation, age and mental stress are key independent predictors of kynurenine pathway activity, which may influence serotonin availability. The catecholamine pathway was also affected in SARS-CoV-2 infection. Altered activity of these pathways may contribute to impaired mental health following COVID-19.
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Affiliation(s)
- Katharina Hüfner
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria.
| | - Sophia Vedova
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | | | - Philipp Nelles
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Tobias Bruckner
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Eberhard A Deisenhammer
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria; University Hospital of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Jonas Egeter
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Matyas Galffy
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Johannes M Giesinger
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Jens Lehmann
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Maria Oberhammer
- University Hospital of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Joachim Rockenschaub
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Magdalena Sacher
- Department of Visceral, Transplant and Thoracic Surgery (VTT), Medical University Innsbruck, Innsbruck, Austria
| | - Bernhard Holzner
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
| | - Johanna M Gostner
- Institute of Medical Biochemistry, Medical University Innsbruck, Innsbruck, Austria
| | - Barbara Sperner-Unterweger
- University Hospital of Psychiatry II, Department of Psychiatry, Psychotherapy, Psychosomatics and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria
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10
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Mancabelli L, Taurino G, Ticinesi A, Ciociola T, Vacondio F, Milani C, Fontana F, Lugli GA, Tarracchini C, Alessandri G, Viappiani A, Bianchi M, Nouvenne A, Chetta AA, Turroni F, Meschi T, Mor M, Bussolati O, Ventura M. Disentangling the interactions between nasopharyngeal and gut microbiome and their involvement in the modulation of COVID-19 infection. Microbiol Spectr 2023; 11:e0219423. [PMID: 37728335 PMCID: PMC10581039 DOI: 10.1128/spectrum.02194-23] [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: 05/25/2023] [Accepted: 07/01/2023] [Indexed: 09/21/2023] Open
Abstract
The human organism is inhabited by trillions of microorganisms, known as microbiota, which are considered to exploit a pivotal role in the regulation of host health and immunity. Recent investigations have suggested a relationship between the composition of the human microbiota and COVID-19 infection, highlighting a possible role of bacterial communities in the modulation of the disease severity. In this study, we performed a shotgun metagenomics analysis to explore and compare the nasopharyngeal microbiota of 38 hospitalized Italian patients with and without COVID-19 infection during the third and fourth pandemic waves. In detail, the metagenomic analysis combined with specific correlation analyses suggested a positive association of several microbial species, such as S. parasanguinis and P. melaninogenica, with the severity of COVID-19 infection. Furthermore, the comparison of the microbiota composition between the nasopharyngeal and their respective fecal samples highlighted an association between these different compartments represented by a sharing of several bacterial species. Additionally, lipidomic and deep-shotgun functional analyses of the fecal samples suggested a metabolic impact of the microbiome on the host's immune response, indicating the presence of key metabolic compounds in COVID-19 patients, such as lipid oxidation end products, potentially related to the inflammatory state. Conversely, the patients without COVID-19 displayed enzymatic patterns associated with the biosynthesis and degradation of specific compounds like lysine (synthesis) and phenylalanine (degradation) that could positively impact disease severity and contribute to modulating COVID-19 infection. IMPORTANCE The human microbiota is reported to play a major role in the regulation of host health and immunity, suggesting a possible impact on the severity of COVID-19 disease. This preliminary study investigated the possible correlation between nasopharyngeal microbiota and COVID-19 infection. In detail, the analysis of the nasopharyngeal microbiota of hospitalized Italian patients with and without COVID-19 infection suggested a positive association of several microbial species with the severity of the disease and highlighted a sharing of several bacteria species with the respective fecal samples. Moreover, the metabolic analyses suggested a possible impact of the microbiome on the host's immune response and the disease severity.
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Affiliation(s)
- Leonardo Mancabelli
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Giuseppe Taurino
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Andrea Ticinesi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Department of Geriatric-Rehabilitation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Tecla Ciociola
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Federica Vacondio
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Christian Milani
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Federico Fontana
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Gabriele Andrea Lugli
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Chiara Tarracchini
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Giulia Alessandri
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | | | - Massimiliano Bianchi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Antonio Nouvenne
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Department of Geriatric-Rehabilitation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Alfredo Antonio Chetta
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Francesca Turroni
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Tiziana Meschi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Department of Geriatric-Rehabilitation, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Marco Mor
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Ovidio Bussolati
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
| | - Marco Ventura
- Interdepartmental Research Centre "Microbiome Research Hub", University of Parma, Parma, Italy
- Laboratory of Probiogenomics, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
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Tang Y, Yu Y, Li R, Tao Z, Zhang L, Wang X, Qi X, Li Y, Meng T, Qu H, Zhou M, Xu J, Liu J. Phenylalanine promotes alveolar macrophage pyroptosis via the activation of CaSR in ARDS. Front Immunol 2023; 14:1114129. [PMID: 37377971 PMCID: PMC10291621 DOI: 10.3389/fimmu.2023.1114129] [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: 12/02/2022] [Accepted: 05/17/2023] [Indexed: 06/29/2023] Open
Abstract
Acute respiratory distress syndrome (ARDS) is associated with high mortality rates in patients admitted to the intensive care unit (ICU) patients with overwhelming inflammation considered to be an internal cause. The authors' previous study indicated a potential correlation between phenylalanine levels and lung injury. Phenylalanine induces inflammation by enhancing the innate immune response and the release of pro-inflammatory cytokines. Alveolar macrophages (AMs) can respond to stimuli via synthesis and release of inflammatory mediators through pyroptosis, one form of programmed cell death acting through the nucleotide-binging oligomerization domain-like receptors protein 3 (NLRP3) signaling pathway, resulting in the cleavage of caspase-1 and gasdermin D (GSDMD) and the release of interleukin (IL) -1β and IL-18, aggravating lung inflammation and injury in ARDS. In this study, phenylalanine promoted pyroptosis of AMs, which exacerbated lung inflammation and ARDS lethality in mice. Furthermore, phenylalanine initiated the NLRP3 pathway by activating the calcium-sensing receptor (CaSR). These findings uncovered a critical mechanism of action of phenylalanine in the context of ARDS and may be a new treatment target for ARDS.
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Affiliation(s)
- Yiding Tang
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yue Yu
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ranran Li
- 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
| | - Li Zhang
- 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
| | - Xiaoling Qi
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinjiaozhi Li
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianjiao Meng
- 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
| | - Mi Zhou
- Department of Cardiac Surgery, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jing Xu
- Department of Critical Care Medicine, Ruijin Hospital, 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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12
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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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13
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Gardinassi LG, Servian CDP, Lima GDS, dos Anjos DCC, Gomes Junior AR, Guilarde AO, Borges MASB, dos Santos GF, Moraes BGN, Silva JMM, Masson LC, de Souza FP, da Silva RR, de Araújo GL, Rodrigues MF, da Silva LC, Meira S, Fiaccadori FS, Souza M, Romão PRT, Spadafora Ferreira M, Coelho V, Chaves AR, Simas RC, Vaz BG, Fonseca SG. Integrated Metabolic and Inflammatory Signatures Associated with Severity of, Fatality of, and Recovery from COVID-19. Microbiol Spectr 2023; 11:e0219422. [PMID: 36852984 PMCID: PMC10100880 DOI: 10.1128/spectrum.02194-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 02/04/2023] [Indexed: 03/01/2023] Open
Abstract
Severe manifestations of coronavirus disease 2019 (COVID-19) and mortality have been associated with physiological alterations that provide insights into the pathogenesis of the disease. Moreover, factors that drive recovery from COVID-19 can be explored to identify correlates of protection. The cellular metabolism represents a potential target to improve survival upon severe disease, but the associations between the metabolism and the inflammatory response during COVID-19 are not well defined. We analyzed blood laboratorial parameters, cytokines, and metabolomes of 150 individuals with mild to severe disease, of which 33 progressed to a fatal outcome. A subset of 20 individuals was followed up after hospital discharge and recovery from acute disease. We used hierarchical community networks to integrate metabolomics profiles with cytokines and markers of inflammation, coagulation, and tissue damage. Infection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) promotes significant alterations in the plasma metabolome, whose activity varies according to disease severity and correlates with oxygen saturation. Differential metabolism underlying death was marked by amino acids and related metabolites, such as glutamate, glutamyl-glutamate, and oxoproline, and lipids, including progesterone, phosphocholine, and lysophosphatidylcholines (lysoPCs). Individuals who recovered from severe disease displayed persistent alterations enriched for metabolism of purines and phosphatidylinositol phosphate and glycolysis. Recovery of mild disease was associated with vitamin E metabolism. Data integration shows that the metabolic response is a hub connecting other biological features during disease and recovery. Infection by SARS-CoV-2 induces concerted activity of metabolic and inflammatory responses that depend on disease severity and collectively predict clinical outcomes of COVID-19. IMPORTANCE COVID-19 is characterized by diverse clinical outcomes that include asymptomatic to mild manifestations or severe disease and death. Infection by SARS-CoV-2 activates inflammatory and metabolic responses that drive protection or pathology. How inflammation and metabolism communicate during COVID-19 is not well defined. We used high-resolution mass spectrometry to investigate small biochemical compounds (<1,500 Da) in plasma of individuals with COVID-19 and controls. Age, sex, and comorbidities have a profound effect on the plasma metabolites of individuals with COVID-19, but we identified significant activity of pathways and metabolites related to amino acids, lipids, nucleotides, and vitamins determined by disease severity, survival outcome, and recovery. Furthermore, we identified metabolites associated with acute-phase proteins and coagulation factors, which collectively identify individuals with severe disease or individuals who died of severe COVID-19. Our study suggests that manipulating specific metabolic pathways can be explored to prevent hyperinflammation, organ dysfunction, and death.
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Affiliation(s)
- Luiz Gustavo Gardinassi
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Carolina do Prado Servian
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Gesiane da Silva Lima
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Déborah Carolina Carvalho dos Anjos
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Antonio Roberto Gomes Junior
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Adriana Oliveira Guilarde
- Departamento de Medicina Tropical e Dermatologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Moara Alves Santa Bárbara Borges
- Departamento de Medicina Tropical e Dermatologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Gabriel Franco dos Santos
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | | | - João Marcos Maia Silva
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Letícia Carrijo Masson
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Flávia Pereira de Souza
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Rodolfo Rodrigues da Silva
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Giovanna Lopes de Araújo
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Marcella Ferreira Rodrigues
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Lidya Cardozo da Silva
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Sueli Meira
- Laboratório Prof Margarida Dobler Komma, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Fabiola Souza Fiaccadori
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Menira Souza
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Pedro Roosevelt Torres Romão
- Laboratório de Imunologia Celular e Molecular, Programa de Pós-Graduação em Ciências da Saúde, Programa de Pós-Graduação em Ciências da Reabilitação, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Verônica Coelho
- Laboratório de Imunologia, Instituto do Coração, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Laboratório de Histocompatibilidade e Imunidade Celular, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
- Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia, São Paulo, São Paulo, Brazil
| | - Andréa Rodrigues Chaves
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Rosineide Costa Simas
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Boniek Gontijo Vaz
- Laboratório de Cromatografia e Espectrometria de Massas, Instituto de Química, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Simone Gonçalves Fonseca
- Departamento de Biociências e Tecnologia, Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
- Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia, São Paulo, São Paulo, Brazil
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da Silva Fidalgo TK, Freitas-Fernandes LB, Marques BBF, de Araújo CS, da Silva BJ, Guimarães TC, Fischer RG, Tinoco EMB, Valente AP. Salivary Metabolomic Analysis Reveals Amino Acid Metabolism Shift in SARS-CoV-2 Virus Activity and Post-Infection Condition. Metabolites 2023; 13:metabo13020263. [PMID: 36837882 PMCID: PMC9962089 DOI: 10.3390/metabo13020263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 01/14/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
The SARS-CoV-2 virus primarily infects salivary glands suggesting a change in the saliva metabolite profile; this shift may be used as a monitoring instrument during SARS-CoV-2 infection. The present study aims to determine the salivary metabolomic profile of patients with and post-SARS-CoV-19 infection. Patients were without (PCR-), with SARS-CoV-2 (PCR+), or post-SARS-CoV-2 infection. Unstimulated whole saliva was collected, and the 1H spectra were acquired in a 500 MHz Bruker nuclear magnetic resonance spectrometer at 25 °C. They were subjected to multivariate analysis using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), as well as univariate analysis through t-tests (SPSS 20.0, IL, USA), with a significance level of p < 0.05. A distinction was found when comparing PCR- subjects to those with SARS-CoV-2 infection. When comparing the three groups, the PLS-DA cross-validation presented satisfactory accuracy (ACC = 0.69, R2 = 0.39, Q2 = 0.08). Seventeen metabolites were found in different proportions among the groups. The results suggested the downregulation of major amino acid levels, such as alanine, glutamine, histidine, leucine, lysine, phenylalanine, and proline in the PCR+ group compared to the PCR- ones. In addition, acetate, valerate, and capronic acid were higher in PCR- patients than in PCR+. Sucrose and butyrate were higher in post-SARS-CoV-2 infection compared to PCR-. In general, a reduction in amino acids was observed in subjects with and post-SARS-CoV-2 disease. The salivary metabolomic strategy NMR-based was able to differentiate between non-infected individuals and those with acute and post-SARS-CoV-19 infection.
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Affiliation(s)
- Tatiana Kelly da Silva Fidalgo
- Department of Preventive and Community Dentistry, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
- Correspondence: (T.K.d.S.F.); (A.P.V.)
| | - Liana Bastos Freitas-Fernandes
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - Barbara Bruno Fagundes Marques
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Caroline Souza de Araújo
- Department of Preventive and Community Dentistry, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Bruno Jefferson da Silva
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
| | - Taísa Coelho Guimarães
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Ricardo Guimarães Fischer
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Eduardo Muniz Barretto Tinoco
- Department of Periodontology, School of Dentistry, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20551-030, Brazil
| | - Ana Paula Valente
- National Center for Nuclear Magnetic Resonance, Medical Biochemistry, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-902, Brazil
- Correspondence: (T.K.d.S.F.); (A.P.V.)
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15
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Chisanga M, Williams H, Boudreau D, Pelletier JN, Trottier S, Masson JF. Label-Free SERS for Rapid Differentiation of SARS-CoV-2-Induced Serum Metabolic Profiles in Non-Hospitalized Adults. Anal Chem 2023; 95:3638-3646. [PMID: 36763490 PMCID: PMC9940618 DOI: 10.1021/acs.analchem.2c04514] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
COVID-19 represents a multi-system infectious disease with broad-spectrum manifestations, including changes in host metabolic processes connected to the disease pathogenesis. Understanding biochemical dysregulation patterns as a consequence of COVID-19 illness promises to be crucial for tracking disease course and clinical outcomes. Surface-enhanced Raman scattering (SERS) has attracted considerable interest in biomedical diagnostics for the sensitive detection of intrinsic profiles of unique fingerprints of serum biomolecules indicative of SARS-CoV-2 infection in a label-free format. Here, we applied label-free SERS and chemometrics for rapid interrogation of temporal metabolic dynamics in longitudinal sera of mildly infected non-hospitalized patients (n = 22), at 4 and 16 weeks post PCR-positive diagnosis, and compared them with negative controls (n = 8). SERS spectral markers revealed distinct metabolic profiles in patient sera that significantly deviated from the healthy metabolic state at the two sampling time intervals. Multivariate and univariate analyses of the spectral data identified abundance dynamics in amino acids, lipids, and protein vibrations as the key spectral features underlying the metabolic differences detected in convalescent samples and perhaps associated with patient recovery progression. A validation study performed using spontaneous Raman spectroscopy yielded spectral data results that corroborated SERS spectral findings and confirmed the detected disease-specific molecular phenotypes in clinical samples. Label-free SERS promises to be a valuable analytical technique for rapid screening of the metabolic phenotype induced by SARS-CoV-2 infection to allow appropriate healthcare intervention.
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Affiliation(s)
- Malama Chisanga
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Hannah Williams
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Denis Boudreau
- Department
of Chemistry and Centre for Optics, Photonics and Lasers (COPL), Université Laval, 1045, av. de la Médecine, Québec, Québec G1V 0A6, Canada
| | - Joelle N. Pelletier
- Department
of Chemistry, Department of Biochemistry and PROTEO, Québec
Network for Research on Protein Function, Engineering and Applications, Université de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada
| | - Sylvie Trottier
- Centre
de Recherche du Centre Hospitalier Universitaire de Québec
and Département de Microbiologie-Infectiologie et d’Immunologie, Université Laval, 2705, boulevard Laurier, Québec, Québec G1V 4G2, Canada
| | - Jean-Francois Masson
- Department
of Chemistry, Québec Centre for Advanced Materials (QCAM),
Regroupement Québécois sur les Matériaux de Pointe
(RQMP), and Centre Interdisciplinaire de Recherche sur le Cerveau
et l’Apprentissage (CIRCA), Université
de Montréal, CP 6128 Succ. Centre-Ville, Montreal, Québec H3C 3J7, Canada,. Phone: +1-514-343-7342
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16
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Combining Phenylalanine and Leucine Levels Predicts 30-Day Mortality in Critically Ill Patients Better than Traditional Risk Factors with Multicenter Validation. Nutrients 2023; 15:nu15030649. [PMID: 36771356 PMCID: PMC9921772 DOI: 10.3390/nu15030649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
In critically ill patients, risk scores are used; however, they do not provide information for nutritional intervention. This study combined the levels of phenylalanine and leucine amino acids (PLA) to improve 30-day mortality prediction in intensive care unit (ICU) patients and to see whether PLA could help interpret the nutritional phases of critical illness. We recruited 676 patients with APACHE II scores ≥ 15 or intubated due to respiratory failure in ICUs, including 537 and 139 patients in the initiation and validation (multicenter) cohorts, respectively. In the initiation cohort, phenylalanine ≥ 88.5 μM (indicating metabolic disturbance) and leucine < 68.9 μM (indicating malnutrition) were associated with higher mortality rate. Based on different levels of phenylalanine and leucine, we developed PLA scores. In different models of multivariable analyses, PLA scores predicted 30-day mortality independent of traditional risk scores (p < 0.001). PLA scores were then classified into low, intermediate, high, and very-high risk categories with observed mortality rates of 9.0%, 23.8%, 45.6%, and 81.8%, respectively. These findings were validated in the multicenter cohort. PLA scores predicted 30-day mortality better than APACHE II and NUTRIC scores and provide a basis for future studies to determine whether PLA-guided nutritional intervention improves the outcomes of patients in ICUs.
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17
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Gas Chromatography-Mass Spectrometry (GC-MS) Metabolites Analysis in Endometriosis Patients: A Prospective Observational Translational Study. J Clin Med 2023; 12:jcm12030922. [PMID: 36769570 PMCID: PMC9918082 DOI: 10.3390/jcm12030922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 01/04/2023] [Accepted: 01/14/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Endometriosis affects women of reproductive age, and its pathogenesis is still unclear. Typically, it overlaps other similar medical and surgical conditions, determining a delay in early diagnosis. Metabolomics allows studying metabolic changes in different physiological or pathological states to discover new potential biomarkers. We used the gas chromatography-mass spectrometer (GC-MS) to explore metabolic alterations in endometriosis to better understand its pathophysiology and find new biomarkers. METHODS Twenty-two serum samples of patients with symptomatic endometriosis and ten without it were collected and subjected to GC-MS analysis. Multivariate and univariate statistical analyses were performed, followed by pathway analysis. RESULTS Partial least squares discriminant analysis was performed to determine the differences between the two groups (p = 0.003). Threonic acid, 3-hydroxybutyric acid, and proline increased significantly in endometriosis patients, while alanine and valine decreased. ROC curves were built to test the diagnostic power of metabolites. The pathway analysis identified the synthesis and degradation of ketone bodies and the biosynthesis of phenylalanine, tyrosine, and tryptophan as the most altered pathways. CONCLUSIONS The metabolomic approach identifies metabolic alterations in women with endometriosis. These findings may improve our understanding of the pathophysiological mechanisms of disease and the discovery of new biomarkers.
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18
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Ma S, Yang L, Li H, Chen X, Lin X, Ge W, Wang Y, Sun L, Zhao G, Wang B, Wang Z, Wu M, Lu X, Akhtar ML, Yang D, Bai Y, Li Y, Nie H. Understanding metabolic alterations after SARS-CoV-2 infection: insights from the patients' oral microenvironmental metabolites. BMC Infect Dis 2023; 23:42. [PMID: 36690957 PMCID: PMC9869582 DOI: 10.1186/s12879-022-07979-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 is a type of acute infectious pneumonia and frequently confused with influenza since the initial symptoms. When the virus colonized the patient's mouth, it will cause changes of the oral microenvironment. However, few studies on the alterations of metabolism of the oral microenvironment affected by SARS-CoV-2 infection have been reported. In this study, we explored metabolic alterations of oral microenvironment after SARS-CoV-2 infection. METHODS Untargeted metabolomics (UPLC-MS) was used to investigate the metabolic changes between oral secretion samples of 25 COVID-19 and 30 control participants. To obtain the specific metabolic changes of COVID-19, we selected 25 influenza patients to exclude the metabolic changes caused by the stress response of the immune system to the virus. Multivariate analysis (PCA and PLS-DA plots) and univariate analysis (students' t-test) were used to compare the differences between COVID-19 patients and the controls. Online hiplot tool was used to perform heatmap analysis. Metabolic pathway analysis was conducted by using the MetaboAnalyst 5.0 web application. RESULTS PLS-DA plots showed significant separation of COVID-19 patients and the controls. A total of 45 differential metabolites between COVID-19 and control group were identified. Among them, 35 metabolites were defined as SARS-CoV-2 specific differential metabolites. Especially, the levels of cis-5,8,11,14,17-eicosapentaenoic acid and hexanoic acid changed dramatically based on the FC values. Pathway enrichment found the most significant pathways were tyrosine-related metabolism. Further, we found 10 differential metabolites caused by the virus indicating the body's metabolism changes after viral stimulation. Moreover, adenine and adenosine were defined as influenza virus-specific differential metabolites. CONCLUSIONS This study revealed that 35 metabolites and tyrosine-related metabolism pathways were significantly changed after SARS-CoV-2 infection. The metabolic alterations of oral microenvironment in COVID-19 provided new insights into its molecular mechanisms for research and prognostic treatment.
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Affiliation(s)
- Shengli Ma
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Lijun Yang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Hui Li
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Xinghe Chen
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiaoyu Lin
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyu Ge
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Yindong Wang
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Liping Sun
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Guiping Zhao
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Bing Wang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Zheng Wang
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Meng Wu
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Xin Lu
- grid.9227.e0000000119573309CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Muhammad Luqman Akhtar
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Depeng Yang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yan Bai
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yu Li
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Huan Nie
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
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19
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de Moraes Pontes JG, Dos Santos RV, Tasic L. NMR-Metabolomics in COVID-19 Research. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1412:197-209. [PMID: 37378768 DOI: 10.1007/978-3-031-28012-2_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/29/2023]
Abstract
COVID-19 stands for Corona Virus Disease 2019, which starts as a viral infection that provokes illness with different symptoms and severity. The infected individuals can be asymptomatic or present with mild, moderate, severe, and critical illness with acute respiratory distress syndrome (ARDS), acute cardiac injury, and multiorgan failure. When the virus enters the cells, it replicates and provokes responses. Most diseased individuals resolve the problems in a short time but unfortunately, some may die, and almost 3 years after the first reported cases, COVID-19 still kills thousands per day worldwide. One of the problems in not curing the viral infection is that the virus passes by undetected in cells. This can be caused by the lack of pathogen-associated molecular patterns (PAMPs) that start an orchestrated immune response, such as activation of type 1 interferons (IFNs), inflammatory cytokines, chemokines, and antiviral defenses. Before all of these events can happen, the virus uses the infected cells and numerous small molecules as sources of energy and building blocks for newly synthesized viral nanoparticles that travel to and infect other host cells. Therefore, studying the cell metabolome and metabolomic changes in biofluids might give insights into the state of the viral infection, viral loads, and defense response. NMR-metabolomics can help in solving the real-time host interactions by monitoring concentration changes in metabolites. This chapter addresses the state of the art of COVIDomics by NMR analyses and presents exemplified biomolecules identified in different world regions and gravities of illness as potential biomarkers.
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Affiliation(s)
| | - Roney Vander Dos Santos
- Laboratory of Chemical Biology, Institute of Chemistry, University of Campinas (UNICAMP), CampinaEs, Sao Paulo, Brazil
| | - Ljubica Tasic
- Laboratory of Chemical Biology, Institute of Chemistry, University of Campinas (UNICAMP), CampinaEs, Sao Paulo, Brazil.
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20
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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: 6] [Impact Index Per Article: 3.0] [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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21
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Dillard LR, Wase N, Ramakrishnan G, Park JJ, Sherman NE, Carpenter R, Young M, Donlan AN, Petri W, Papin JA. Leveraging metabolic modeling to identify functional metabolic alterations associated with COVID-19 disease severity. Metabolomics 2022; 18:51. [PMID: 35819731 PMCID: PMC9273921 DOI: 10.1007/s11306-022-01904-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 06/01/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Since the COVID-19 pandemic began in early 2020, SARS-CoV2 has claimed more than six million lives world-wide, with over 510 million cases to date. To reduce healthcare burden, we must investigate how to prevent non-acute disease from progressing to severe infection requiring hospitalization. METHODS To achieve this goal, we investigated metabolic signatures of both non-acute (out-patient) and severe (requiring hospitalization) COVID-19 samples by profiling the associated plasma metabolomes of 84 COVID-19 positive University of Virginia hospital patients. We utilized supervised and unsupervised machine learning and metabolic modeling approaches to identify key metabolic drivers that are predictive of COVID-19 disease severity. Using metabolic pathway enrichment analysis, we explored potential metabolic mechanisms that link these markers to disease progression. RESULTS Enriched metabolites associated with tryptophan in non-acute COVID-19 samples suggest mitigated innate immune system inflammatory response and immunopathology related lung damage prevention. Increased prevalence of histidine- and ketone-related metabolism in severe COVID-19 samples offers potential mechanistic insight to musculoskeletal degeneration-induced muscular weakness and host metabolism that has been hijacked by SARS-CoV2 infection to increase viral replication and invasion. CONCLUSIONS Our findings highlight the metabolic transition from an innate immune response coupled with inflammatory pathway inhibition in non-acute infection to rampant inflammation and associated metabolic systemic dysfunction in severe COVID-19.
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Affiliation(s)
- L R Dillard
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, 22908, USA
| | - N Wase
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - G Ramakrishnan
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - J J Park
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - N E Sherman
- School of Medicine Core Facilities, University of Virginia, Charlottesville, VA, 22908, USA
| | - R Carpenter
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - M Young
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - A N Donlan
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
| | - W Petri
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA, 22908, USA
| | - J A Papin
- Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, VA, 22908, USA.
- Department of Medicine, Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, 22908, USA.
- Department of Biomedical Engineering, University of Virginia, Health System, Box 800759, Charlottesville, VA, 22908, USA.
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22
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Martínez-Gómez LE, Ibarra-González I, Fernández-Lainez C, Tusie T, Moreno-Macías H, Martinez-Armenta C, Jimenez-Gutierrez GE, Vázquez-Cárdenas P, Vidal-Vázquez P, Ramírez-Hinojosa JP, Rodríguez-Zulueta AP, Vargas-Alarcón G, Rojas-Velasco G, Sánchez-Muñoz F, Posadas-Sanchez R, Martínez-Ruiz FDJ, Zayago-Angeles DM, Moreno ML, Barajas-Galicia E, Lopez-Cisneros G, Gonzalez-Fernández NC, Ortega-Peña S, Herrera-López B, Olea-Torres J, Juárez-Arias M, Rosas-Vásquez M, Cabrera-Nieto SA, Magaña JJ, Camacho-Rea MDC, Suarez-Ahedo C, Coronado-Zarco I, Valdespino-Vázquez MY, Martínez-Nava GA, Pineda C, Vela-Amieva M, López-Reyes A. Metabolic Reprogramming in SARS-CoV-2 Infection Impacts the Outcome of COVID-19 Patients. Front Immunol 2022; 13:936106. [PMID: 36341434 PMCID: PMC9634751 DOI: 10.3389/fimmu.2022.936106] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 06/10/2022] [Indexed: 11/25/2023] Open
Abstract
Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection triggers inflammatory clinical stages that affect the outcome of patients with coronavirus disease 2019 (COVID-19). Disease severity may be associated with a metabolic imbalance related to amino acids, lipids, and energy-generating pathways. The aim of this study was to characterize the profile of amino acids and acylcarnitines in COVID-19 patients. A multicenter, cross-sectional study was carried out. A total of 453 individuals were classified by disease severity. Levels of 11 amino acids, 31 acylcarnitines, and succinylacetone in serum samples were analyzed by electrospray ionization-triple quadrupole tandem mass spectrometry. Different clusters were observed in partial least squares discriminant analysis, with phenylalanine, alanine, citrulline, proline, and succinylacetone providing the major contribution to the variability in each cluster (variable importance in the projection >1.5). In logistic models adjusted by age, sex, type 2 diabetes mellitus, hypertension, and nutritional status, phenylalanine was associated with critical outcomes (odds ratio=5.3 (95% CI 3.16-9.2) in the severe vs. critical model, with an area under the curve of 0.84 (95% CI 0.77-0.90). In conclusion the metabolic imbalance in COVID-19 patients might affect disease progression. This work shows an association of phenylalanine with critical outcomes in COVID-19 patients, highlighting phenylalanine as a potential metabolic biomarker of disease severity.
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Affiliation(s)
- Laura E. Martínez-Gómez
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Isabel Ibarra-González
- Unidad de Genética de la Nutrición, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - Cynthia Fernández-Lainez
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México, Mexico
| | - Teresa Tusie
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biomédicas UNAM, Ciudad de México, Mexico
| | - Hortensia Moreno-Macías
- Unidad de Biología Molecular y Medicina Genómica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Instituto de Investigaciones Biomédicas UNAM, Ciudad de México, Mexico
- Departamento de Economía. División de Ciencias Sociales y Humanidades, Universidad Autónoma Metropolitana, Iztapalapa, Ciudad de México, Mexico
| | - Carlos Martinez-Armenta
- Posgrado en Biología Experimental, Dirección de Ciencias Biológicas y de la Salud (DCBS), Universidad Autónoma Metropolitana Iztapalapa, Ciudad de México, Mexico
| | - Guadalupe Elizabeth Jimenez-Gutierrez
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Paola Vázquez-Cárdenas
- Centro de Innovación Médica Aplicada, Subdirección de Epidemiología e Infectología, Hospital General Dr. Manuel Gea González, Secretaría de Salud, Ciudad de México, Mexico
| | - Patricia Vidal-Vázquez
- Centro de Innovación Médica Aplicada, Subdirección de Epidemiología e Infectología, Hospital General Dr. Manuel Gea González, Secretaría de Salud, Ciudad de México, Mexico
| | - Juan P. Ramírez-Hinojosa
- Centro de Innovación Médica Aplicada, Subdirección de Epidemiología e Infectología, Hospital General Dr. Manuel Gea González, Secretaría de Salud, Ciudad de México, Mexico
| | - Ana P. Rodríguez-Zulueta
- Centro de Innovación Médica Aplicada, Subdirección de Epidemiología e Infectología, Hospital General Dr. Manuel Gea González, Secretaría de Salud, Ciudad de México, Mexico
| | - Gilberto Vargas-Alarcón
- Departamentos de Biología Molecular, Inmunología, Endocrinologia y Unidad de Cuidados Intensivos, Instituto Nacional de Cardiología Ignacio Chavez, Secretaría de Salud, Ciudad de México, Mexico
| | - Gustavo Rojas-Velasco
- Departamentos de Biología Molecular, Inmunología, Endocrinologia y Unidad de Cuidados Intensivos, Instituto Nacional de Cardiología Ignacio Chavez, Secretaría de Salud, Ciudad de México, Mexico
| | - Fausto Sánchez-Muñoz
- Departamentos de Biología Molecular, Inmunología, Endocrinologia y Unidad de Cuidados Intensivos, Instituto Nacional de Cardiología Ignacio Chavez, Secretaría de Salud, Ciudad de México, Mexico
| | - Rosalinda Posadas-Sanchez
- Departamentos de Biología Molecular, Inmunología, Endocrinologia y Unidad de Cuidados Intensivos, Instituto Nacional de Cardiología Ignacio Chavez, Secretaría de Salud, Ciudad de México, Mexico
| | - Felipe de J. Martínez-Ruiz
- Nuevo Hospital General Delegación Regional Sur de la Ciudad de México, Instituto de Seguridad y Servicios Sociales para los Trabajadores del Estado (ISSSTE), Ciudad de México, Mexico
| | - Dulce M. Zayago-Angeles
- Nuevo Hospital General Delegación Regional Sur de la Ciudad de México, Instituto de Seguridad y Servicios Sociales para los Trabajadores del Estado (ISSSTE), Ciudad de México, Mexico
| | - Mariana L. Moreno
- Nuevo Hospital General Delegación Regional Sur de la Ciudad de México, Instituto de Seguridad y Servicios Sociales para los Trabajadores del Estado (ISSSTE), Ciudad de México, Mexico
| | - Edith Barajas-Galicia
- Hospital Central Norte Petróleos Mexicanos (PEMEX), Estado de México, Mexico City, Mexico
| | - Gerardo Lopez-Cisneros
- Hospital Central Norte Petróleos Mexicanos (PEMEX), Estado de México, Mexico City, Mexico
| | | | - Silvestre Ortega-Peña
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Brígida Herrera-López
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Jessel Olea-Torres
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Manuel Juárez-Arias
- Unidad de Investigación y Desarrollo en Alimentos, Tecnológico Nacional de México/Instituto Tecnológico (IT) Veracruz, Veracruz, Mexico
| | - Maritza Rosas-Vásquez
- Unidad de Investigación y Desarrollo en Alimentos, Tecnológico Nacional de México/Instituto Tecnológico (IT) Veracruz, Veracruz, Mexico
| | - Sara Aileen Cabrera-Nieto
- Posgrado en Ciencias Médicas, Facultad de Ciencias de la Salud, Universidad Anáhuac, Ciudad de México, Mexico
| | - Jonathan J. Magaña
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - María del Carmen Camacho-Rea
- Departamento de Nutrición Animal, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Secretaría de Salud, Ciudad de México, Mexico
| | - Carlos Suarez-Ahedo
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Irma Coronado-Zarco
- Instituto Nacional de Perinatología Isidro Espinosa de los Reyes, Ciudad de México, Mexico
| | | | - Gabriela Angélica Martínez-Nava
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Carlos Pineda
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
| | - Marcela Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Secretaría de Salud, Ciudad de México, Mexico
| | - Alberto López-Reyes
- Laboratorio de Gerociencias, Laboratorio Facilitador, Laboratorio de Medicina Genómica, Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Ciudad de México, Mexico
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23
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Ghini V, Meoni G, Pelagatti L, Celli T, Veneziani F, Petrucci F, Vannucchi V, Bertini L, Luchinat C, Landini G, Turano P. Profiling metabolites and lipoproteins in COMETA, an Italian cohort of COVID-19 patients. PLoS Pathog 2022; 18:e1010443. [PMID: 35446921 PMCID: PMC9022834 DOI: 10.1371/journal.ppat.1010443] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 03/14/2022] [Indexed: 12/22/2022] Open
Abstract
Metabolomics and lipidomics have been used in several studies to define the biochemical alterations induced by COVID-19 in comparison with healthy controls. Those studies highlighted the presence of a strong signature, attributable to both metabolites and lipoproteins/lipids. Here, 1H NMR spectra were acquired on EDTA-plasma from three groups of subjects: i) hospitalized COVID-19 positive patients (≤21 days from the first positive nasopharyngeal swab); ii) hospitalized COVID-19 positive patients (>21 days from the first positive nasopharyngeal swab); iii) subjects after 2–6 months from SARS-CoV-2 eradication. A Random Forest model built using the EDTA-plasma spectra of COVID-19 patients ≤21 days and Post COVID-19 subjects, provided a high discrimination accuracy (93.6%), indicating both the presence of a strong fingerprint of the acute infection and the substantial metabolic healing of Post COVID-19 subjects. The differences originate from significant alterations in the concentrations of 16 metabolites and 74 lipoprotein components. The model was then used to predict the spectra of COVID-19>21 days subjects. In this group, the metabolite levels are closer to those of the Post COVID-19 subjects than to those of the COVID-19≤21 days; the opposite occurs for the lipoproteins. Within the acute phase patients, characteristic trends in metabolite levels are observed as a function of the disease severity. The metabolites found altered in COVID-19≤21 days patients with respect to Post COVID-19 individuals overlap with acute infection biomarkers identified previously in comparison with healthy subjects. Along the trajectory towards healing, the metabolome reverts back to the “healthy” state faster than the lipoproteome.
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Affiliation(s)
- Veronica Ghini
- Department of Chemistry, University of Florence, Sesto Fiorentino, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
| | - Gaia Meoni
- Department of Chemistry, University of Florence, Sesto Fiorentino, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
| | | | - Tommaso Celli
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Italy
- Laboratory of Clinical Pathology, Santa Maria Nuova Hospital, Florence, Italy
| | - Francesca Veneziani
- Laboratory of Clinical Pathology, Santa Maria Nuova Hospital, Florence, Italy
- Laboratory of Clinical Pathology, San Giovanni di Dio Hospital, Florence, Italy
| | - Fabrizia Petrucci
- Laboratory of Clinical Pathology, Santa Maria Nuova Hospital, Florence, Italy
| | - Vieri Vannucchi
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Italy
| | - Laura Bertini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Italy
| | - Claudio Luchinat
- Department of Chemistry, University of Florence, Sesto Fiorentino, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
| | - Giancarlo Landini
- Internal Medicine, Santa Maria Nuova Hospital, Florence, Italy
- * E-mail: (GL); (PT)
| | - Paola Turano
- Department of Chemistry, University of Florence, Sesto Fiorentino, Italy
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
- * E-mail: (GL); (PT)
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