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Mutithu DW, Aremu OO, Mokaila D, Bana T, Familusi M, Taylor L, Martin LJ, Heathfield LJ, Kirwan JA, Wiesner L, Adeola HA, Lumngwena EN, Manganyi R, Skatulla S, Naidoo R, Ntusi NAB. A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques. PLoS One 2024; 19:e0303496. [PMID: 38739622 PMCID: PMC11090351 DOI: 10.1371/journal.pone.0303496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION Rheumatic heart disease (RHD), degenerative aortic stenosis (AS), and congenital valve diseases are prevalent in sub-Saharan Africa. Many knowledge gaps remain in understanding disease mechanisms, stratifying phenotypes, and prognostication. Therefore, we aimed to characterise patients through clinical profiling, imaging, histology, and molecular biomarkers to improve our understanding of the pathophysiology, diagnosis, and prognosis of RHD and AS. METHODS In this cross-sectional, case-controlled study, we plan to recruit RHD and AS patients and compare them to matched controls. Living participants will undergo clinical assessment, echocardiography, CMR and blood sampling for circulatory biomarker analyses. Tissue samples will be obtained from patients undergoing valve replacement, while healthy tissues will be obtained from cadavers. Immunohistology, proteomics, metabolomics, and transcriptome analyses will be used to analyse circulatory- and tissue-specific biomarkers. Univariate and multivariate statistical analyses will be used for hypothesis testing and identification of important biomarkers. In summary, this study aims to delineate the pathophysiology of RHD and degenerative AS using multiparametric CMR imaging. In addition to discover novel biomarkers and explore the pathomechanisms associated with RHD and AS through high-throughput profiling of the tissue and blood proteome and metabolome and provide a proof of concept of the suitability of using cadaveric tissues as controls for cardiovascular disease studies.
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Affiliation(s)
- Daniel W. Mutithu
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Olukayode O. Aremu
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Dipolelo Mokaila
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Tasnim Bana
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Mary Familusi
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Department of Civil Engineering, University of Cape Town, Cape Town, South Africa
| | - Laura Taylor
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Lorna J. Martin
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Laura J. Heathfield
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Jennifer A. Kirwan
- Metabolomics Platform, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Max-Delbrück-Center (MDC) for Molecular Medicine, Helmholtz Association, Berlin, Germany
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Henry A. Adeola
- Division of Dermatology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Evelyn N. Lumngwena
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
- School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Rodgers Manganyi
- Chris Barnard Division of Cardiothoracic Surgery, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
| | - Sebastian Skatulla
- Department of Civil Engineering, University of Cape Town, Cape Town, South Africa
| | - Richard Naidoo
- Division of Anatomical Pathology, Department of Pathology, University of Cape Town and National Health Laboratory Service, Cape Town, South Africa
| | - Ntobeko A. B. Ntusi
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
- Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Disease Research, University of Cape Town, Cape Town, South Africa
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2
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Ricci A, Dugo M, Pisanu ME, De Cecco L, Raspagliesi F, Valeri B, Veneroni S, Chirico M, Palombelli G, Daidone MG, Podo F, Canese R, Mezzanzanica D, Bagnoli M, Iorio E. Impact of Cold Ischemia on the Stability of 1H-MRS-Detected Metabolic Profiles of Ovarian Cancer Specimens. J Proteome Res 2024; 23:483-493. [PMID: 38109371 DOI: 10.1021/acs.jproteome.3c00665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
Proton magnetic resonance spectroscopy (1H-MRS) of surgically collected tumor specimens may contribute to investigating cancer metabolism and the significance of the "total choline" (tCho) peak (3.2 ppm) as malignancy and therapy response biomarker. To ensure preservation of intrinsic metabolomic information, standardized handling procedures are needed. The effects of time to freeze (cold ischemia) were evaluated in (a) surgical epithelial ovarian cancer (EOC) specimens using high-resolution (HR) 1H-MRS (9.4 T) of aqueous extracts and (b) preclinical EOC samples (xenografts in SCID mice) investigated by in vivo MRI-guided 1H-MRS (4.7 T) and by HR-1H-MRS (9.4 T) of tumor extracts or intact fragments (using magic-angle-spinning (MAS) technology). No significant changes were found in the levels of 27 of 29 MRS-detected metabolites (including the tCho profile) in clinical specimens up to 2 h cold ischemia, besides an increase in lysine and a decrease in glutathione. EOC xenografts showed a 2-fold increase in free choline within 2 h cold ischemia, without further significant changes for any MRS-detected metabolite (including phosphocholine and tCho) up to 6 h. At shorter times (≤1 h), HR-MAS analyses showed unaltered tCho components, along with significant changes in lactate, glutamate, and glutamine. Our results support the view that a time to freeze of 1 h represents a safe threshold to ensure the maintenance of a reliable tCho profile in EOC specimens.
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Affiliation(s)
- Alessandro Ricci
- Notified Body 0373 Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Matteo Dugo
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Maria Elena Pisanu
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Loris De Cecco
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Francesco Raspagliesi
- Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milano, Italy
| | - Barbara Valeri
- Department of Pathology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milano, Italy
| | - Silvia Veneroni
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Mattea Chirico
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Gianmauro Palombelli
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Maria Grazia Daidone
- Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Franca Podo
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Rossella Canese
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
| | - Delia Mezzanzanica
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Marina Bagnoli
- Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Amadeo 42, 20133 Milano, Italy
| | - Egidio Iorio
- Core Facilities, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Roma, Italy
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3
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Di Cesare F, Calgaro M, Ghini V, Squarzanti DF, De Prisco A, Visciglia A, Zanetta P, Rolla R, Savoia P, Amoruso A, Azzimonti B, Vitulo N, Tenori L, Luchinat C, Pane M. Exploring the Effects of Probiotic Treatment on Urinary and Serum Metabolic Profiles in Healthy Individuals. J Proteome Res 2023; 22:3866-3878. [PMID: 37970754 PMCID: PMC10696601 DOI: 10.1021/acs.jproteome.3c00548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/11/2023] [Accepted: 10/24/2023] [Indexed: 11/17/2023]
Abstract
Probiotics are live microorganisms that confer health benefits when administered in adequate amounts. They are used to promote gut health and alleviate various disorders. Recently, there has been an increasing interest in the potential effects of probiotics on human physiology. In the presented study, the effects of probiotic treatment on the metabolic profiles of human urine and serum using a nuclear magnetic resonance (NMR)-based metabonomic approach were investigated. Twenty-one healthy volunteers were enrolled in the study, and they received two different dosages of probiotics for 8 weeks. During the study, urine and serum samples were collected from volunteers before and during probiotic supplementation. The results showed that probiotics had a significant impact on the urinary and serum metabolic profiles without altering their phenotypes. This study demonstrated the effects of probiotics in terms of variations of metabolite levels resulting also from the different probiotic posology. Overall, the results suggest that probiotic administration may affect both urine and serum metabolomes, although more research is needed to understand the mechanisms and clinical implications of these effects. NMR-based metabonomic analysis of biofluids is a powerful tool for monitoring host-gut microflora dynamic interaction as well as for assessing the individual response to probiotic treatment.
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Affiliation(s)
- Francesca Di Cesare
- Magnetic
Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, Sesto Fiorentino, Firenze 50019, Italy
- Department
of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3, Sesto Fiorentino 50019, Italy
| | - Matteo Calgaro
- Department
of Biotechnology, University of Verona, Strada le Grazie, 15, Verona 37134, Italy
| | - Veronica Ghini
- Magnetic
Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, Sesto Fiorentino, Firenze 50019, Italy
- Department
of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3, Sesto Fiorentino 50019, Italy
| | - Diletta Francesca Squarzanti
- Department
of Health Sciences (DiSS), University of
Piemonte Orientale (UPO), Via Solaroli, 17, Novara 28100, Italy
- Center
for Translational Research on Autoimmune and Allergic Diseases (CAAD),
Department of Health Sciences (DiSS), University
of Piemonte Orientale (UPO), Corso Trieste, 15, Novara 28100, Italy
| | | | | | - Paola Zanetta
- Department
of Health Sciences (DiSS), University of
Piemonte Orientale (UPO), Via Solaroli, 17, Novara 28100, Italy
- Center
for Translational Research on Autoimmune and Allergic Diseases (CAAD),
Department of Health Sciences (DiSS), University
of Piemonte Orientale (UPO), Corso Trieste, 15, Novara 28100, Italy
| | - Roberta Rolla
- Department
of Health Sciences (DiSS), University of
Piemonte Orientale (UPO), Via Solaroli, 17, Novara 28100, Italy
| | - Paola Savoia
- Department
of Health Sciences (DiSS), University of
Piemonte Orientale (UPO), Via Solaroli, 17, Novara 28100, Italy
| | - Angela Amoruso
- Probiotical
Research Srl, Via Enrico
Mattei, 3, Novara 28100, Italy
| | - Barbara Azzimonti
- Department
of Health Sciences (DiSS), University of
Piemonte Orientale (UPO), Via Solaroli, 17, Novara 28100, Italy
- Center
for Translational Research on Autoimmune and Allergic Diseases (CAAD),
Department of Health Sciences (DiSS), University
of Piemonte Orientale (UPO), Corso Trieste, 15, Novara 28100, Italy
| | - Nicola Vitulo
- Department
of Biotechnology, University of Verona, Strada le Grazie, 15, Verona 37134, Italy
| | - Leonardo Tenori
- Magnetic
Resonance Center (CERM), University of Florence, Via Luigi Sacconi 6, Sesto Fiorentino, Firenze 50019, Italy
- Department
of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3, Sesto Fiorentino 50019, Italy
- Consorzio
Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Via Luigi Sacconi 6, Sesto Fiorentino, Firenze 50019, Italy
| | - Claudio Luchinat
- Consorzio
Interuniversitario Risonanze Magnetiche MetalloProteine (CIRMMP), Via Luigi Sacconi 6, Sesto Fiorentino, Firenze 50019, Italy
- Giotto
Biotech S.r.l., Via Madonna
del Piano, 6, Sesto Fiorentino, Firenze 50019, Italy
| | - Marco Pane
- Probiotical
Research Srl, Via Enrico
Mattei, 3, Novara 28100, Italy
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4
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Ghini V, Meoni G, Vignoli A, Di Cesare F, Tenori L, Turano P, Luchinat C. Fingerprinting and profiling in metabolomics of biosamples. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 138-139:105-135. [PMID: 38065666 DOI: 10.1016/j.pnmrs.2023.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/13/2023] [Accepted: 10/15/2023] [Indexed: 12/18/2023]
Abstract
This review focuses on metabolomics from an NMR point of view. It attempts to cover the broad scope of metabolomics and describes the NMR experiments that are most suitable for each sample type. It is addressed not only to NMR specialists, but to all researchers who wish to approach metabolomics with a clear idea of what they wish to achieve but not necessarily with a deep knowledge of NMR. For this reason, some technical parts may seem a bit naïve to the experts. The review starts by describing standard metabolomics procedures, which imply the use of a dedicated 600 MHz instrument and of four properly standardized 1D experiments. Standardization is a must if one wants to directly compare NMR results obtained in different labs. A brief mention is also made of standardized pre-analytical procedures, which are even more essential. Attention is paid to the distinction between fingerprinting and profiling, and the advantages and disadvantages of fingerprinting are clarified. This aspect is often not fully appreciated. Then profiling, and the associated problems of signal assignment and quantitation, are discussed. We also describe less conventional approaches, such as the use of different magnetic fields, the use of signal enhancement techniques to increase sensitivity, and the potential of field-shuttling NMR. A few examples of biomedical applications are also given, again with the focus on NMR techniques that are most suitable to achieve each particular goal, including a description of the most common heteronuclear experiments. Finally, the growing applications of metabolomics to foodstuffs are described.
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Affiliation(s)
- Veronica Ghini
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Gaia Meoni
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Alessia Vignoli
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Francesca Di Cesare
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
| | - Paola Turano
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy.
| | - Claudio Luchinat
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy; Giotto Biotech S.r.l., Sesto Fiorentino, Italy.
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5
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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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Madrid-Gambin F, Oller S, Marco S, Pozo ÓJ, Andres-Lacueva C, Llorach R. Quantitative plasma profiling by 1H NMR-based metabolomics: impact of sample treatment. Front Mol Biosci 2023; 10:1125582. [PMID: 37333016 PMCID: PMC10273206 DOI: 10.3389/fmolb.2023.1125582] [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: 12/16/2022] [Accepted: 05/22/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction: There is evidence that sample treatment of blood-based biosamples may affect integral signals in nuclear magnetic resonance-based metabolomics. The presence of macromolecules in plasma/serum samples makes investigating low-molecular-weight metabolites challenging. It is particularly relevant in the targeted approach, in which absolute concentrations of selected metabolites are often quantified based on the area of integral signals. Since there are a few treatments of plasma/serum samples for quantitative analysis without a universally accepted method, this topic remains of interest for future research. Methods: In this work, targeted metabolomic profiling of 43 metabolites was performed on pooled plasma to compare four methodologies consisting of Carr-Purcell-Meiboom-Gill (CPMG) editing, ultrafiltration, protein precipitation with methanol, and glycerophospholipid solid-phase extraction (g-SPE) for phospholipid removal; prior to NMR metabolomics analysis. The effect of the sample treatments on the metabolite concentrations was evaluated using a permutation test of multiclass and pairwise Fisher scores. Results: Results showed that methanol precipitation and ultrafiltration had a higher number of metabolites with coefficient of variation (CV) values above 20%. G-SPE and CPMG editing demonstrated better precision for most of the metabolites analyzed. However, differential quantification performance between procedures were metabolite-dependent. For example, pairwise comparisons showed that methanol precipitation and CPMG editing were suitable for quantifying citrate, while g-SPE showed better results for 2-hydroxybutyrate and tryptophan. Discussion: There are alterations in the absolute concentration of various metabolites that are dependent on the procedure. Considering these alterations is essential before proceeding with the quantification of treatment-sensitive metabolites in biological samples for improving biomarker discovery and biological interpretations. The study demonstrated that g-SPE and CPMG editing are effective methods for removing proteins and phospholipids from plasma samples for quantitative NMR analysis of metabolites. However, careful consideration should be given to the specific metabolites of interest and their susceptibility to the sample treatment procedures. These findings contribute to the development of optimized sample preparation protocols for metabolomics studies using NMR spectroscopy.
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Affiliation(s)
- Francisco Madrid-Gambin
- Applied Metabolomics Research Group, IMIM—Institut Hospital del Mar d’Investigacions Mèdiques, Barcelona, Spain
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Sergio Oller
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Electronics and Biomedical Engineering, Faculty of Physics, University of Barcelona, Barcelona, Spain
| | - Santiago Marco
- Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Department of Electronics and Biomedical Engineering, Faculty of Physics, University of Barcelona, Barcelona, Spain
| | - Óscar J. Pozo
- Applied Metabolomics Research Group, IMIM—Institut Hospital del Mar d’Investigacions Mèdiques, Barcelona, Spain
| | - Cristina Andres-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Sant Coloma de Gramanet, Spain
- Food Innovation Network (XIA), Santa Coloma de Gramanet, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Rafael Llorach
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Science and Gastronomy, Faculty of Pharmacy and Food Sciences, Campus Torribera, University of Barcelona, Sant Coloma de Gramanet, Spain
- Food Innovation Network (XIA), Santa Coloma de Gramanet, Spain
- Institut de Recerca en Nutrició i Seguretat Alimentària (INSA-UB), Santa Coloma de Gramanet, Spain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
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7
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Mao T, Qin F, Zhang M, Li J, Li J, Lai M. Elevated serum β-hydroxybutyrate, a circulating ketone metabolite, accelerates colorectal cancer proliferation and metastasis via ACAT1. Oncogene 2023:10.1038/s41388-023-02700-y. [PMID: 37185457 DOI: 10.1038/s41388-023-02700-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 04/12/2023] [Accepted: 04/18/2023] [Indexed: 05/17/2023]
Abstract
Colorectal cancer (CRC) ranks third in incidence and second in mortality worldwide. Metabolic disorders are known to be closely associated with CRC. Functional metabolomics aims to translate metabolomics-derived biomarkers to disease mechanisms. Previous work based on untargeted liquid chromatography identified 30 differential metabolites of CRC. Among them, only β-hydroxybutyrate (BHB) was elevated in CRC. Here, we first confirm the increased level of β-hydroxybutyrate by targeted metabolomic analysis using an independent cohort of 400 serum samples by UPLC-QQQ-MS/MS analysis. Using appropriate cell and animal models, we find that treatment with pathological levels of β-hydroxybutyrate expedites CRC proliferation and metastasis. Out of four major rate-limiting enzymes of ketolysis, only acetyl-coenzyme A acetyltransferase1 (ACAT1) expression is increased in paired human CRC tissues. These findings suggest probable clinical relevance for the functional implications of β-hydroxybutyrate in CRC. We demonstrate that β-hydroxybutyrate may exert its tumorigenic effects via regulation of ACAT1, due to induction of downstream isocitrate dehydrogenase1 (IDH1) acetylation. Genetic silencing of ACAT1 significantly suppresses the progression of CRC and abrogates the effects of β-hydroxybutyrate both in vitro and in vivo. Overall, this study suggests that targeting β-hydroxybutyrate and its major rate-limiting enzyme ACAT1 may provide a new avenue for therapeutic intervention in CRC.
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Affiliation(s)
- Tianxiao Mao
- State Key Laboratory of Natural Medicines, School of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210000, China
| | - Fujian Qin
- State Key Laboratory of Natural Medicines, School of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210000, China
| | - Mengdi Zhang
- State Key Laboratory of Natural Medicines, School of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210000, China
| | - Jing Li
- The Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, 210000, China
- School of Life Science and Technology, China Pharmaceutical University, Nanjing, 210000, China
| | - Jiankang Li
- Xi'an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi'an, 710072, China.
| | - Maode Lai
- State Key Laboratory of Natural Medicines, School of Basic Medical Sciences and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 210000, China.
- Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042); Key Laboratory of Disease Proteomics of Zhejiang Province, Department of Pathology, Zhejiang University School of Medicine, Hangzhou, 310058, China.
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8
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Affiliation(s)
- G. A. Nagana Gowda
- Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington
| | - Daniel Raftery
- Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109
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9
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Ding J, Feng YQ. Mass spectrometry-based metabolomics for clinical study: Recent progresses and applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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10
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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: 26] [Impact Index Per Article: 13.0] [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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