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Wang Y, Xie K, Wang J, Chen F, Li X, Zhang L. Mendelian randomization demonstrates a causal link between peripheral circulating acylcarnitines and intracranial aneurysms. Neurotherapeutics 2024:e00428. [PMID: 39098392 DOI: 10.1016/j.neurot.2024.e00428] [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: 03/03/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 08/06/2024] Open
Abstract
Intracranial aneurysm (IA) is the most prevalent type of cerebral vascular disease causing life-threatening subarachnoid hemorrhages (SAH). A long-term vascular structure remodeling is considered as the main pathophysiological feature of IAs. However, the causal factors triggering the pathophysiological process are not clear. Recently, the abnormalities of peripheral circulating proteins and metabolites have been found in IAs patients and associated with the ruptures. We comprehensively investigated the potential causal relationship between blood metabolites and proteins and IAs using the mendelian randomization (MR) analysis. We applied two-sample MR to explore the potential causal association between peripheral circulating metabolites (191 blood metabolites) and proteins (1398 proteins) and IAs using data from the FinnGen study and the GWAS datasets published by Bakker et al. We identified palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine as causal contributors of IAs and ruptures. Further two-step mediation MR analysis suggested that hypertension as one of the contributors of IAs and ruptures mediated the causal relationship between palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine and IAs. Together, our study demonstrates that blood metabolic palmitoylcarnitine, stearoylcarnitine and 2-tetradecenoylcarnitine are causally linked to the formation and rupture of IAs. Hypertension partially mediates the causal effects.
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Affiliation(s)
- Ying Wang
- Department of Neurosurgery, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Kang Xie
- Department of Neurosurgery, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Junyu Wang
- Department of Neurosurgery, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Fenghua Chen
- Department of Neurosurgery, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China; Research Center for Cerebrovascular Disease, Central South University, Changsha, 410008, China.
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, China; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, Hunan, 410008, China.
| | - Longbo Zhang
- Departments of Neurosurgery, Changde Hospital, Xiangya School of Medicine, Central South University, 818 Renmin Street, Wuling District, Changde, Hunan 415003, China; Department of Neurosurgery, National Clinical Research Center of Geriatric Disorders, Research Center for Cerebrovascular Disease, Xiangya Hospital, Central South University, Changsha, 410008, China.
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Vanmaele A, Bouwens E, Hoeks SE, Kindt A, Lamont L, Fioole B, Moelker A, Ten Raa S, Hussain B, Oliveira-Pinto J, Ijpma AS, van Lier F, Akkerhuis KM, Majoor-Krakauer DF, Hankemeier T, de Rijke Y, Verhagen HJ, Boersma E, Kardys I. Targeted proteomics and metabolomics for biomarker discovery in abdominal aortic aneurysm and post-EVAR sac volume. Clin Chim Acta 2024; 554:117786. [PMID: 38246209 DOI: 10.1016/j.cca.2024.117786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 12/27/2023] [Accepted: 01/14/2024] [Indexed: 01/23/2024]
Abstract
BACKGROUND AND AIMS Abdominal aortic aneurysm (AAA) patients undergo uniform surveillance programs both leading up to, and following surgery. Circulating biomarkers could play a pivotal role in individualizing surveillance. We applied a multi-omics approach to identify relevant biomarkers and gain pathophysiological insights. MATERIALS AND METHODS In this cross-sectional study, 108 AAA patients and 200 post-endovascular aneurysm repair (post-EVAR) patients were separately investigated. We performed partial least squares regression and ingenuity pathway analysis on circulating concentrations of 96 proteins (92 Olink Cardiovascular-III panel, 4 ELISA-assays) and 199 metabolites (measured by LC-TQMS), and their associations with CT-based AAA/sac volume. RESULTS The median (25th-75th percentile) maximal diameter was 50.0 mm (46.0, 53.0) in the AAA group, and 55.4 mm (45.0, 64.2) in the post-EVAR group. Correcting for clinical characteristics in AAA patients, the aneurysm volume Z-score differed 0.068 (95 %CI: (0.042, 0.093)), 0.066 (0.047, 0.085) and -0.051 (-0.064, -0.038) per Z-score valine, leucine and uPA, respectively. After correcting for clinical characteristics and orthogonalization in the post-EVAR group, the sac volume Z-score differed 0.049 (0.034, 0.063) per Z-score TIMP-4, -0.050 (-0.064, -0.037) per Z-score LDL-receptor, -0.051 (-0.062, -0.040) per Z-score 1-OG/2-OG and -0.056 (-0.066, -0.045) per Z-score 1-LG/2-LG. CONCLUSIONS The branched-chain amino acids and uPA were related to AAA volume. For post-EVAR patients, LDL-receptor, monoacylglycerols and TIMP-4 are potential biomarkers for sac volume. Additionally, distinct markers for sac change were identified.
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Affiliation(s)
- Alexander Vanmaele
- Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus MC, Rotterdam, the Netherlands; Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands
| | - Elke Bouwens
- Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus MC, Rotterdam, the Netherlands; Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands; Department of Anesthesiology, Erasmus MC, Rotterdam, the Netherlands
| | - Sanne E Hoeks
- Department of Anesthesiology, Erasmus MC, Rotterdam, the Netherlands
| | - Alida Kindt
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Lieke Lamont
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Bram Fioole
- Department of Vascular Surgery, Maasstad Hospital, Rotterdam, the Netherlands
| | - Adriaan Moelker
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Sander Ten Raa
- Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands
| | - Burhan Hussain
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Radiology, Beatrix hospital, Gorinchem, the Netherlands
| | - José Oliveira-Pinto
- Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands; Department of Angiology and Vascular Surgery, Centro Hospitalar São João, Porto, Portugal; Department of Surgery and Physiology, Faculty of Medicine of Oporto, Porto, Portugal
| | - Arne S Ijpma
- Department of Pathology, Erasmus MC, Rotterdam, the Netherlands
| | - Felix van Lier
- Department of Anesthesiology, Erasmus MC, Rotterdam, the Netherlands
| | - K Martijn Akkerhuis
- Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus MC, Rotterdam, the Netherlands
| | | | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Yolanda de Rijke
- Department of Clinical Chemistry, Erasmus MC, Rotterdam, the Netherlands
| | - Hence Jm Verhagen
- Department of Vascular Surgery, Erasmus MC, Rotterdam, the Netherlands
| | - Eric Boersma
- Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus MC, Rotterdam, the Netherlands
| | - Isabella Kardys
- Department of Cardiology, Thorax Centre, Cardiovascular Institute, Erasmus MC, Rotterdam, the Netherlands.
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Wang Q, Yesitayi G, Liu B, Siti D, Ainiwan M, Aizitiaili A, Ma X. Targeting metabolism in aortic aneurysm and dissection: from basic research to clinical applications. Int J Biol Sci 2023; 19:3869-3891. [PMID: 37564200 PMCID: PMC10411465 DOI: 10.7150/ijbs.85467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 07/17/2023] [Indexed: 08/12/2023] Open
Abstract
Aortic aneurysm and dissection (AAD) are a group of insidious and lethal cardiovascular diseases that characterized by seriously threatening the life and health of people, but lack effective nonsurgical interventions. Alterations in metabolites are increasingly recognized as universal features of AAD because metabolic abnormalities have been identified not only in arterial tissue but also in blood and vascular cells from both patients and animal models with this disease. Over the past few decades, studies have further supported this notion by linking AAD to various types of metabolites such as those derived from gut microbiota or involved in TCA cycle or lipid metabolism. Many of these altered metabolites may contribute to the pathogenesis of AAD. This review aims to illustrate the close association between body metabolism and the occurrence and development of AAD, as well as summarize the significance of metabolites correlated with the pathological process of AAD. This provides valuable insight for developing new therapeutic agents for AAD. Therefore, we present a brief overview of metabolism in AAD biology, including signaling pathways involved in these processes and current clinical studies targeting AAD metabolisms. It is necessary to understand the metabolic mechanisms underlying AAD to provides significant knowledge for AAD diagnosis and new therapeutics for treatment.
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Affiliation(s)
- Qi Wang
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
| | - Gulinazi Yesitayi
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
| | - Bingyan Liu
- Environment Research Institute, Shandong University, Qingdao 266237, China
| | - Dilixiati Siti
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
| | - Mierxiati Ainiwan
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
| | - Aliya Aizitiaili
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
| | - Xiang Ma
- Department of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Xinjiang Medical University, Urumqi, China
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Rega S, Farina F, Bouhuis S, de Donato S, Chiesa M, Poggio P, Cavallotti L, Bonalumi G, Giambuzzi I, Pompilio G, Perrucci GL. Multi-omics in thoracic aortic aneurysm: the complex road to the simplification. Cell Biosci 2023; 13:131. [PMID: 37475058 DOI: 10.1186/s13578-023-01080-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: 11/14/2022] [Accepted: 07/05/2023] [Indexed: 07/22/2023] Open
Abstract
BACKGROUND Thoracic aortic aneurysm (TAA) is a serious condition that affects the aorta, characterized by the dilation of its first segment. The causes of TAA (e.g., age, hypertension, genetic syndromes) are heterogeneous and contribute to the weakening of the aortic wall. This complexity makes treating this life-threatening aortopathy challenging, as there are currently no etiological therapy available, and pharmacological strategies, aimed at avoiding surgical aortic replacement, are merely palliative. Recent studies on novel therapies for TAA have focused on identifying biological targets and etiological mechanisms of the disease by using advanced -omics techniques, including epigenomics, transcriptomics, proteomics, and metabolomics approaches. METHODS This review presents the latest findings from -omics approaches and underscores the importance of integrating multi-omics data to gain more comprehensive understanding of TAA. RESULTS Literature suggests that the alterations in TAA mediators frequently involve members of pro-fibrotic process (i.e., TGF-β signaling pathways) or proteins associated with cell/extracellular structures (e.g., aggrecans). Further analyses often reported the importance in TAA of processes as inflammation (PCR, CD3, leukotriene compounds), oxidative stress (chromatin OXPHOS, fatty acids), mitochondrial respiration and glycolysis/gluconeogenesis (e.g., PPARs and HIF1a). Of note, more recent metabolomics studies added novel molecular markers to the list of TAA-specific detrimental mediators (proteoglycans). CONCLUSION It is increasingly clear that integrating data from different -omics branches, along with clinical data, is essential as well as complicated both to reveal hidden relevant information and to address complex diseases such as TAA. Importantly, recent progresses in metabolomics highlighted novel potential and unprecedented marks in TAA diagnosis and therapy.
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Affiliation(s)
- Sara Rega
- Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Unit for the Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Floriana Farina
- Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximillians-Universität (LMU) München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Silvia Bouhuis
- Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Silvia de Donato
- Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Mattia Chiesa
- Bioinformatics and Artificial Intelligence Facility, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Electronics, Information and Biomedical Engineering, Politecnico Di Milano, Milan, Italy
| | - Paolo Poggio
- Unit for the Study of Aortic, Valvular and Coronary Pathologies, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Laura Cavallotti
- Department of Cardiovascular Surgery, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Giorgia Bonalumi
- Department of Cardiovascular Surgery, Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Ilaria Giambuzzi
- Department of Cardiovascular Surgery, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Clinical Sciences and Community Health, Università Degli Studi Di Milano, Milan, Italy
| | - Giulio Pompilio
- Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Cardiovascular Surgery, Centro Cardiologico Monzino IRCCS, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, Università Degli Studi Di Milano, Milan, Italy
| | - Gianluca L Perrucci
- Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino IRCCS, Milan, Italy.
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Xie T, Lei C, Song W, Wu X, Wu J, Li F, Lv Y, Chen Y, Liu B, Zheng Y. Plasma Lipidomics Analysis Reveals the Potential Role of Lysophosphatidylcholines in Abdominal Aortic Aneurysm Progression and Formation. Int J Mol Sci 2023; 24:10253. [PMID: 37373399 DOI: 10.3390/ijms241210253] [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: 05/14/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Abdominal aortic aneurysm (AAA) is hallmarked by irreversible dilation of the infrarenal aorta. Lipid deposition in the aortic wall and the potential importance of a lipid disorder in AAA etiology highlight the need to explore lipid variation during AAA development. This study aimed to systematically characterize the lipidomics associated with AAA size and progression. Plasma lipids from 106 subjects (36 non-AAA controls and 70 AAA patients) were comprehensively analyzed using untargeted lipidomics. An AAA animal model was established by embedding angiotensin-II pump in ApoE-/- mice for four weeks and blood was collected at 0, 2 and 4 weeks for lipidomic analysis. Using a false-discovery rate (FDR) < 0.05, a group of lysophosphatidylcholines (lysoPCs) were specifically decreased in AAA patients and mice. LysoPCs were principally lower in the AAA patients with larger diameter (diameter > 50 mm) than those with a smaller size (30 mm < diameter < 50 mm), and levels of lysoPCs were also found to be decreased with modelling time and aneurysm formation in AAA mice. Correlation matrices between lipids and clinical characteristics identified that the positive correlation between lysoPCs and HDL-c was reduced and negative correlations between lysoPCs and CAD rate, lysoPCs and hsCRP were converted to positive correlations in AAA compared to control. Weakened positive correlations between plasma lysoPCs and circulating HDL-c in AAA suggested that HDL-lysoPCs may elicit instinctive physiological effects in AAA. This study provides evidence that reduced lysoPCs essentially underlie the pathogenesis of AAA and that lysoPCs are promising biomarkers for AAA development.
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Affiliation(s)
- Ting Xie
- Clinical Biobank, Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Chuxiang Lei
- Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Wei Song
- Department of Medical Research Center, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xunyao Wu
- Clinical Biobank, Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianqiang Wu
- Department of Medical Research Center, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Fangyuan Li
- Clinical Biobank, Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Yanze Lv
- Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Yuexin Chen
- Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Bao Liu
- Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Yuehong Zheng
- Department of Vascular Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
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Szeremeta M, Samczuk P, Pietrowska K, Kowalczyk T, Przeslaw K, Sieminska J, Kretowski A, Niemcunowicz-Janica A, Ciborowski M. In Vitro Animal Model for Estimating the Time since Death with Attention to Early Postmortem Stage. Metabolites 2022; 13:metabo13010026. [PMID: 36676951 PMCID: PMC9861157 DOI: 10.3390/metabo13010026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Estimating the postmortem interval (PMI) has remained the subject of investigations in forensic medicine for many years. Every kind of death results in changes in metabolites in body tissues and fluids due to lack of oxygen, altered circulation, enzymatic reactions, cellular degradation, and cessation of anabolic production of metabolites. Metabolic changes may provide markers determining the time since death, which is challenging in current analytical and observation-based methods. The study includes metabolomics analysis of blood with the use of an animal model to determine the biochemical changes following death. LC-MS is used to fingerprint postmortem porcine blood. Metabolites, significantly changing in blood after death, are selected and identified using univariate statistics. Fifty-one significant metabolites are found to help estimate the time since death in the early postmortem stage. Hypoxanthine, lactic acid, histidine, and lysophosphatidic acids are found as the most promising markers in estimating an early postmortem stage. Selected lysophosphatidylcholines are also found as significantly increased in blood with postmortal time, but their practical utility as PMI indicators can be limited due to a relatively low increasing rate. The findings demonstrate the great potential of LC-MS-based metabolomics in determining the PMI due to sudden death and provide an experimental basis for applying this attitude in investigating various mechanisms of death. As we assume, our study is also one of the first in which the porcine animal model is used to establish PMI metabolomics biomarkers.
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Affiliation(s)
- Michal Szeremeta
- Department of Forensic Medicine, Medical University of Bialystok, 15-269 Bialystok, Poland
- Correspondence:
| | - Paulina Samczuk
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Karolina Pietrowska
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Tomasz Kowalczyk
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Katarzyna Przeslaw
- Department of Physical Chemistry, Medical University of Bialystok, 15-328 Bialystok, Poland
| | - Julia Sieminska
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Adam Kretowski
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland
| | | | - Michal Ciborowski
- Metabolomics Laboratory, Clinical Research Center, Medical University of Bialystok, 15-276 Bialystok, Poland
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Mojsak P, Maliszewska K, Klimaszewska P, Miniewska K, Godzien J, Sieminska J, Kretowski A, Ciborowski M. Optimization of a GC-MS method for the profiling of microbiota-dependent metabolites in blood samples: An application to type 2 diabetes and prediabetes. Front Mol Biosci 2022; 9:982672. [PMID: 36213115 PMCID: PMC9538375 DOI: 10.3389/fmolb.2022.982672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Changes in serum or plasma metabolome may reflect gut microbiota dysbiosis, which is also known to occur in patients with prediabetes and type 2 diabetes (T2DM). Thus, developing a robust method for the analysis of microbiota-dependent metabolites (MDMs) is an important issue. Gas chromatography with mass spectrometry (GC–MS) is a powerful approach enabling detection of a wide range of MDMs in biofluid samples with good repeatability and reproducibility, but requires selection of a suitable solvents and conditions. For this reason, we conducted for the first time the study in which, we demonstrated an optimisation of samples preparation steps for the measurement of 75 MDMs in two matrices. Different solvents or mixtures of solvents for MDMs extraction, various concentrations and volumes of derivatizing reagents as well as temperature programs at methoxymation and silylation step, were tested. The stability, repeatability and reproducibility of the 75 MDMs measurement were assessed by determining the relative standard deviation (RSD). Finally, we used the developed method to analyse serum samples from 18 prediabetic (PreDiab group) and 24 T2DM patients (T2DM group) from our 1000PLUS cohort. The study groups were homogeneous and did not differ in age and body mass index. To select statistically significant metabolites, T2DM vs. PreDiab comparison was performed using multivariate statistics. Our experiment revealed changes in 18 MDMs belonging to different classes of compounds, and seven of them, based on the SVM classification model, were selected as a panel of potential biomarkers, able to distinguish between patients with T2DM and prediabetes.
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Affiliation(s)
- Patrycja Mojsak
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Katarzyna Maliszewska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | | | - Katarzyna Miniewska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Godzien
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Julia Sieminska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
- *Correspondence: Michal Ciborowski,
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Bian H, Wang Y, Wu P, Han N, Wang L, Li X, Zhang X, Cho K, Zhang Y, Yin J, Jiang B. Rosmarinic Acid Suppresses Abdominal Aortic Aneurysm Progression in Apolipoprotein E-deficient Mice. PLANTA MEDICA 2022; 88:899-912. [PMID: 34741296 DOI: 10.1055/a-1659-3908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
An abdominal aortic aneurysm is a life-threatening cardiovascular disorder caused by dissection and rupture. No effective medicine is currently available for the > 90% of patients whose aneurysms are below the surgical threshold. The present study investigated the impact of rosmarinic acid, salvianolic acid C, or salvianolic acid B on experimental abdominal aortic aneurysms. Abdominal aortic aneurysms were induced in apolipoprotein E-deficient mice via infusion of angiotensin II for 4 wks. Rosmarinic acid, salvianolic acid C, salvianolic acid B, or doxycycline as a positive control was provided daily through intraperitoneal injection. Administration of rosmarinic acid was found to decrease the thickness of the aortic wall, as determined by histopathological assay. Rosmarinic acid also exhibited protection against elastin fragmentation in aortic media and down-regulated cell apoptosis and proliferation in the aortic adventitia. Infiltration of macrophages, T lymphocytes, and neutrophils in aortic aneurysms was found, especially at the aortic adventitia. Rosmarinic acid, salvianolic acid C, or salvianolic acid B inhibited the infiltration on macrophages specifically, but these compounds did not influence T lymphocytes and neutrophils. Expression of matrix metalloproteinase 9 and macrophage migration inhibitory factor significantly increased in aortic aneurysms. Rosmarinic acid and salvianolic acid C decreased the expression of matrix metalloproteinase-9 in media, and rosmarinic acid also tended to reduce migration inhibitory factor expression. Further then, partial least squares-discriminate analysis was used to classify metabolic changes among different treatments. Rosmarinic acid affected most of the metabolites in the biosynthesis of the citrate cycle, fatty acid pathway significantly. Our present study on mice demonstrated that rosmarinic acid inhibited multiple pathological processes, which were the key features important in abdominal aortic aneurysm formation. Further study on rosmarinic acid, the novel candidate for aneurysmal therapy, should be undertaken to determine its potential for clinical use.
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Affiliation(s)
- Huimiao Bian
- Shenyang Pharmaceutical University, Wenhua Road #103, Shenyang, China
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Yang Wang
- West Yunnan University of Applied Sciences, Jinghong, Yunnan, China
- Metabo-Profile Biotechnology (Shanghai) Co. Ltd., Shanghai, China
| | - Peng Wu
- Shenyang Pharmaceutical University, Wenhua Road #103, Shenyang, China
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Na Han
- Shenyang Pharmaceutical University, Wenhua Road #103, Shenyang, China
| | - Linlin Wang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Xue Li
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - XianJing Zhang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Kenka Cho
- Takarazuka University of Medical and Health Care, Hanayashiki-Midorigaoka, Takarazuka-city, Japan
| | - Yongyu Zhang
- West Yunnan University of Applied Sciences, Jinghong, Yunnan, China
| | - Jun Yin
- Shenyang Pharmaceutical University, Wenhua Road #103, Shenyang, China
| | - Baohong Jiang
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
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HPLC–(Q)-TOF-MS-Based Study of Plasma Metabolic Profile Differences Associated with Age in Pediatric Population Using an Animal Model. Metabolites 2022; 12:metabo12080739. [PMID: 36005611 PMCID: PMC9413543 DOI: 10.3390/metabo12080739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/04/2022] [Accepted: 08/08/2022] [Indexed: 11/17/2022] Open
Abstract
A deep knowledge about the biological development of children is essential for appropriate drug administration and dosage in pediatrics. In this sense, the best approximation to study organ maturation is the analysis of tissue samples, but it requires invasive methods. For this reason, surrogate matrices should be explored. Among them, plasma emerges as a potential alternative since it represents a snapshot of global organ metabolism. In this work, plasma metabolic profiles from piglets of different ages (newborns, infants, and children) obtained by HPLC–(Q)-TOF-MS at positive and negative ionization modes were studied. Improved clustering within groups was achieved using multiblock principal component analysis compared to classical principal component analysis. Furthermore, the separation observed among groups was better resolved by using partial least squares-discriminant analysis, which was validated by bootstrapping and permutation testing. Thanks to univariate analysis, 13 metabolites in positive and 21 in negative ionization modes were found to be significant to discriminate the three groups of piglets. From these features, an acylcarnitine and eight glycerophospholipids were annotated and identified as metabolites of interest. The findings indicate that there is a relevant change with age in lipid metabolism in which lysophosphatidylcholines and lysophoshatidylethanolamines play an important role.
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10
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Zhang K, Pan X, Zheng J, Liu Y, Sun L. The metabolic analysis in human aortic tissues of aortic dissection. J Clin Lab Anal 2022; 36:e24623. [PMID: 35881684 PMCID: PMC9459286 DOI: 10.1002/jcla.24623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 12/04/2022] Open
Abstract
Background The metabolic profile of human aortic tissues is of great importance. Among the analytical platforms utilized in metabolomics, LC‐MS provides broad metabolome coverage. The non‐targeted metabolomics can comprehensively detect the entire metabolome of an organism and find the metabolic characteristics that have significant changes in the experimental group and the control group and elucidate the metabolic pathway concerning the recognized metabolites. Employing non‐targeted metabolomics is helpful to develop biomarkers for disease diagnosis and disease pathology research; for instance, Aortic aneurysm (AA) and Aortic dissection (AD). Aim This study sought to describe the non‐targeted analysis of 18 aortic tissue samples, comparing between AA and AD. Material & Methods Our experimental flow included dividing the samples into (AA, nine samples) and (AD, nine samples), SCIEX quadrupole timeofflight tandem mass spectrometer (TripleTOF) 6600+ mass spectrometer data refinement, MetDNA database analysis, and pathway analysis. We performed an initial validation by setting quality control parameters to evaluate the stability of the analysis system during the computer operation. We then used the repeatability of the control samples to examine the stability of the instrument during the entire analysis process to ensure the reliability of the results. Results Our study found 138 novel metabolites involved in galactose metabolism. Discussion 138 novel metabolites found in this study will be further studied in the future. Conclusion Our study found 138 novel metabolites between AA and AD, which will provide viable clinical data for future studies aimed to implement galactose markers in aortic tissue analysis.
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Affiliation(s)
- Kefeng Zhang
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Aortic Disease Center, Beijing, China
| | - Xudong Pan
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Aortic Disease Center, Beijing, China
| | - Jun Zheng
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Aortic Disease Center, Beijing, China
| | - Yongmin Liu
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Aortic Disease Center, Beijing, China
| | - Lizhong Sun
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,Beijing Aortic Disease Center, Beijing, China
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11
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Chao de la Barca JM, Richard A, Robert P, Eid M, Fouquet O, Tessier L, Wetterwald C, Faure J, Fassot C, Henrion D, Reynier P, Loufrani L. Metabolomic Profiling of Angiotensin-II-Induced Abdominal Aortic Aneurysm in Ldlr -/- Mice Points to Alteration of Nitric Oxide, Lipid, and Energy Metabolisms. Int J Mol Sci 2022; 23:ijms23126387. [PMID: 35742839 PMCID: PMC9223449 DOI: 10.3390/ijms23126387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/28/2022] [Accepted: 06/03/2022] [Indexed: 11/16/2022] Open
Abstract
Aneurysm is the second-most common disease affecting the aorta worldwide after atherosclerosis. While several clinical metabolomic studies have been reported, no study has reported deep metabolomic phenotyping in experimental animal models of aortic aneurysm. We performed a targeted metabolomics study on the blood and aortas of an experimental mice model of aortic aneurysm generated by high-cholesterol diet and angiotensin II in Ldlr−/− mice. The mice model showed a significant increase in media/lumen ratio and wall area, which is associated with lipid deposition within the adventitia, describing a hypertrophic remodeling with an aneurysm profile of the abdominal aorta. Altered aortas showed increased collagen remodeling, disruption of lipid metabolism, decreased glucose, nitric oxide and lysine metabolisms, and increased polyamines and asymmetric dimethylarginine (ADMA) production. In blood, a major hyperlipidemia was observed with decreased concentrations of glutamine, glycine, taurine, and carnitine, and increased concentrations of the branched amino acids (BCAA). The BCAA/glycine and BCAA/glutamine ratios discriminated with very good sensitivity and specificity between aneurysmatic and non-aneurysmatic mice. To conclude, our results reveal that experimental induction of aortic aneurysms causes a profound alteration in the metabolic profile in aortas and blood, mainly centered on an alteration of NO, lipid, and energetic metabolisms.
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Affiliation(s)
- Juan Manuel Chao de la Barca
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
- Service de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire (CHU), 49000 Angers, France; (L.T.); (C.W.); (J.F.)
| | - Alexis Richard
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
| | - Pauline Robert
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
| | - Maroua Eid
- Service de Chirurgie Cardiaque, Centre Hospitalier Universitaire (CHU), 49100 Angers, France; (M.E.); (O.F.)
| | - Olivier Fouquet
- Service de Chirurgie Cardiaque, Centre Hospitalier Universitaire (CHU), 49100 Angers, France; (M.E.); (O.F.)
| | - Lydie Tessier
- Service de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire (CHU), 49000 Angers, France; (L.T.); (C.W.); (J.F.)
| | - Céline Wetterwald
- Service de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire (CHU), 49000 Angers, France; (L.T.); (C.W.); (J.F.)
| | - Justine Faure
- Service de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire (CHU), 49000 Angers, France; (L.T.); (C.W.); (J.F.)
| | - Celine Fassot
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
| | - Daniel Henrion
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
- Angers University Hospital (CHU), 49100 Angers, France
| | - Pascal Reynier
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
- Service de Biochimie et Biologie Moléculaire, Centre Hospitalier Universitaire (CHU), 49000 Angers, France; (L.T.); (C.W.); (J.F.)
| | - Laurent Loufrani
- UMR CNRS 6015—INSERM U1083, IRIS2, 3 rue Roger Amsler, 49100 Angers, France; (J.M.C.d.l.B.); (A.R.); (P.R.); (C.F.); (D.H.); (P.R.)
- INSERM U1083, 49100 Angers, France
- Mitovasc Institute, Université d’Angers, 49100 Angers, France
- Correspondence: ; Tel.: +33-244688263
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12
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Kori M, Cig D, Arga KY, Kasavi C. Multiomics Data Integration Identifies New Molecular Signatures for Abdominal Aortic Aneurysm and Aortic Occlusive Disease: Implications for Early Diagnosis, Prognosis, and Therapeutic Targets. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2022; 26:290-304. [PMID: 35447046 DOI: 10.1089/omi.2022.0021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Cardiovascular disease (CVD) is the leading cause of death among adults in developed countries. Among CVDs, abdominal aortic aneurysm (AAA) and aortic occlusive disease (AOD) are of great public health importance because of the high mortality rate in the elderly population. Despite significant molecular insights into AAA and AOD, the molecular mechanisms of these diseases remain unclear, and the current lack of robust diagnostic and prognostic biomarkers requires novel approaches to biomarker discovery and molecular targeting. In this study, we performed a comparative analysis of genome-wide expression data from patients with large AAA (n = 29), small AAA (n = 20), AOD (n = 9), and controls (n = 10). Specifically, we identified the differentially expressed genes and associated molecular pathways and biological processes (BPs) in each disease. Using a systems science approach, these data were linked to comprehensive human biological networks (i.e., protein-protein interaction, transcriptional regulatory, and metabolic networks) to identify molecular signatures of the salient mechanisms of AAA and AOD. Significant alterations in lipid metabolism and valine, leucine, and isoleucine metabolism, as well as neurodegenerative diseases and sex differences in the pathogenesis of AAA and AOD were identified. In the presence of aneurysm, size-dependent changes in lipid metabolism were observed. In addition, molecules and signaling pathways related to immunity, inflammation, infectious disease, and oxidative phosphorylation were identified in common. The results of the comparative and integrative analyzes revealed important clues to disease mechanisms and reporter molecules at various levels that warrant future development as potential prognostic biomarkers and putative therapeutic targets.
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Affiliation(s)
- Medi Kori
- Department of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey
| | - Defne Cig
- Department of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey
| | - Kazim Yalcin Arga
- Department of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey
- Genetic and Metabolic Diseases Research and Investigation Center (GEMHAM), Marmara University, Istanbul, Turkey
| | - Ceyda Kasavi
- Department of Bioengineering, Faculty of Engineering, Marmara University, Istanbul, Turkey
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13
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Lieberg J, Wanhainen A, Ottas A, Vähi M, Zilmer M, Soomets U, Björck M, Kals J. Metabolomic Profile of Abdominal Aortic Aneurysm. Metabolites 2021; 11:metabo11080555. [PMID: 34436496 PMCID: PMC8401627 DOI: 10.3390/metabo11080555] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/14/2021] [Accepted: 08/18/2021] [Indexed: 11/16/2022] Open
Abstract
Abdominal aortic aneurysm (AAA) is characterized by structural deterioration of the aortic wall, leading to aortic dilation and rupture. The aim was to compare 183 low molecular weight metabolites in AAA patients and aorta-healthy controls and to explore if low molecular weight metabolites are linked to AAA growth. Blood samples were collected from male AAA patients with fast (mean 3.3 mm/year; range 1.3-9.4 mm/year; n = 39) and slow growth (0.2 mm/year; range -2.6-1.1 mm/year; n = 40), and from controls with non-aneurysmal aortas (n = 79). Targeted analysis of 183 metabolites in plasma was performed with AbsoluteIDQ p180 kit. The samples were measured on a QTRAP 4500 coupled to an Agilent 1260 series HPLC. The levels of only four amino acids (histidine, asparagine, leucine, isoleucine) and four phosphatidylcholines (PC.ae.C34.3, PC.aa.C34.2, PC.ae.C38.0, lysoPC.a.C18.2) were found to be significantly lower (p < 0.05) after adjustment for confounders among the AAA patients compared with the controls. There were no differences in the metabolites distinguishing the AAA patients with slow or fast growth from the controls, or distinguishing the patients with slow growth from those with fast growth. The current study describes novel significant alterations in amino acids and phosphatidylcholines metabolism associated with AAA occurrence, but no associations were found with AAA growth rate.
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Affiliation(s)
- Jüri Lieberg
- Department of Surgery, Institute of Clinical Medicine, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia;
- Department of Vascular Surgery, Tartu University Hospital, 8 Puusepa Street, 51014 Tartu, Estonia
| | - Anders Wanhainen
- Department of Surgical Sciences, Section of Vascular Surgery, Uppsala University, SE-751 85 Uppsala, Sweden; (A.W.); (M.B.)
| | - Aigar Ottas
- Department of Biochemistry, Institute of Biomedicine and Translational Medicine, Centre of Excellence for Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (A.O.); (M.Z.); (U.S.)
| | - Mare Vähi
- Institute of Mathematics and Statistics, University of Tartu, 18 Narva mnt. Street, 51009 Tartu, Estonia;
| | - Mihkel Zilmer
- Department of Biochemistry, Institute of Biomedicine and Translational Medicine, Centre of Excellence for Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (A.O.); (M.Z.); (U.S.)
| | - Ursel Soomets
- Department of Biochemistry, Institute of Biomedicine and Translational Medicine, Centre of Excellence for Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (A.O.); (M.Z.); (U.S.)
| | - Martin Björck
- Department of Surgical Sciences, Section of Vascular Surgery, Uppsala University, SE-751 85 Uppsala, Sweden; (A.W.); (M.B.)
| | - Jaak Kals
- Department of Surgery, Institute of Clinical Medicine, University of Tartu, 8 Puusepa Street, 51014 Tartu, Estonia;
- Department of Vascular Surgery, Tartu University Hospital, 8 Puusepa Street, 51014 Tartu, Estonia
- Department of Biochemistry, Institute of Biomedicine and Translational Medicine, Centre of Excellence for Genomics and Translational Medicine, University of Tartu, 19 Ravila Street, 50411 Tartu, Estonia; (A.O.); (M.Z.); (U.S.)
- Correspondence: ; Tel.: +372-7318-292
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14
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Kowalczyk T, Kisluk J, Pietrowska K, Godzien J, Kozlowski M, Reszeć J, Sierko E, Naumnik W, Mróz R, Moniuszko M, Kretowski A, Niklinski J, Ciborowski M. The Ability of Metabolomics to Discriminate Non-Small-Cell Lung Cancer Subtypes Depends on the Stage of the Disease and the Type of Material Studied. Cancers (Basel) 2021; 13:cancers13133314. [PMID: 34282765 PMCID: PMC8268630 DOI: 10.3390/cancers13133314] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 02/04/2023] Open
Abstract
Identification of the NSCLC subtype at an early stage is still quite sophisticated. Metabolomics analysis of tissue and plasma of NSCLC patients may indicate new, and yet unknown, metabolic pathways active in the NSCLC. Our research characterized the metabolomics profile of tissue and plasma of patients with early and advanced NSCLC stage. Samples were subjected to thorough metabolomics analyses using liquid chromatography-mass spectrometry (LC-MS) technique. Tissue and/or plasma samples from 137 NSCLC patients were analyzed. Based on the early stage tissue analysis, more than 200 metabolites differentiating adenocarcinoma (ADC) and squamous cell lung carcinoma (SCC) subtypes as well as normal tissue, were identified. Most of the identified metabolites were amino acids, fatty acids, carnitines, lysoglycerophospholipids, sphingomyelins, plasmalogens and glycerophospholipids. Moreover, metabolites related to N-acyl ethanolamine (NAE) biosynthesis, namely glycerophospho (N-acyl) ethanolamines (GP-NAE), which discriminated early-stage SCC from ADC, have also been identified. On the other hand, the analysis of plasma of chronic obstructive pulmonary disease (COPD) and NSCLC patients allowed exclusion of the metabolites related to the inflammatory state in lungs and the identification of compounds (lysoglycerophospholipids, glycerophospholipids and sphingomyelins) truly characteristic to cancer. Our results, among already known, showed novel, thus far not described, metabolites discriminating NSCLC subtypes, especially in the early stage of cancer. Moreover, the presented results also indicated the activity of new metabolic pathways in NSCLC. Further investigations on the role of NAE biosynthesis pathways in the early stage of NSCLC may reveal new prognostic and diagnostic targets.
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Affiliation(s)
- Tomasz Kowalczyk
- Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland; (T.K.); (K.P.); (J.G.); (A.K.)
| | - Joanna Kisluk
- Department of Clinical Molecular Biology, Medical University of Bialystok, Waszyngtona 13, 15-269 Bialystok, Poland; (J.K.); (J.N.)
| | - Karolina Pietrowska
- Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland; (T.K.); (K.P.); (J.G.); (A.K.)
| | - Joanna Godzien
- Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland; (T.K.); (K.P.); (J.G.); (A.K.)
| | - Miroslaw Kozlowski
- Department of Thoracic Surgery, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland;
| | - Joanna Reszeć
- Department of Medical Patomorphology, Medical University of Bialystok, Waszyngtona 13, 15-269 Bialystok, Poland;
| | - Ewa Sierko
- Department of Oncology, Medical University of Bialystok, Ogrodowa 12, 15-027 Bialystok, Poland;
| | - Wojciech Naumnik
- 1st Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, Żurawia 14, 15-540 Bialystok, Poland;
| | - Robert Mróz
- 2nd Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, Żurawia 14, 15-540 Bialystok, Poland;
| | - Marcin Moniuszko
- Department of Allergology and Internal Medicine, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland;
- Department of Regenerative Medicine and Immune Regulation, Medical University of Bialystok, Waszyngtona 13, 15-269 Bialystok, Poland
| | - Adam Kretowski
- Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland; (T.K.); (K.P.); (J.G.); (A.K.)
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Jacek Niklinski
- Department of Clinical Molecular Biology, Medical University of Bialystok, Waszyngtona 13, 15-269 Bialystok, Poland; (J.K.); (J.N.)
| | - Michal Ciborowski
- Metabolomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Skłodowskiej-Curie 24a, 15-276 Bialystok, Poland; (T.K.); (K.P.); (J.G.); (A.K.)
- Correspondence:
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15
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Khan T, Loftus TJ, Filiberto AC, Ozrazgat-Baslanti T, Ruppert MM, Bandhyopadyay S, Laiakis EC, Arnaoutakis DJ, Bihorac A. Metabolomic Profiling for Diagnosis and Prognostication in Surgery: A Scoping Review. Ann Surg 2021; 273:258-268. [PMID: 32482979 PMCID: PMC7704904 DOI: 10.1097/sla.0000000000003935] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE This review assimilates and critically evaluates available literature regarding the use of metabolomic profiling in surgical decision-making. BACKGROUND Metabolomic profiling is performed by nuclear magnetic resonance spectroscopy or mass spectrometry of biofluids and tissues to quantify biomarkers (ie, sugars, amino acids, and lipids), producing diagnostic and prognostic information that has been applied among patients with cardiovascular disease, inflammatory bowel disease, cancer, and solid organ transplants. METHODS PubMed was searched from 1995 to 2019 to identify studies investigating metabolomic profiling of surgical patients. Articles were included and assimilated into relevant categories per PRISMA-ScR guidelines. Results were summarized with descriptive analytical methods. RESULTS Forty-seven studies were included, most of which were retrospective studies with small sample sizes using various combinations of analytic techniques and types of biofluids and tissues. Results suggest that metabolomic profiling has the potential to effectively screen for surgical diseases, suggest diagnoses, and predict outcomes such as postoperative complications and disease recurrence. Major barriers to clinical adoption include a lack of high-level evidence from prospective studies, heterogeneity in study design regarding tissue and biofluid procurement and analytical methods, and the absence of large, multicenter metabolome databases to facilitate systematic investigation of the efficacy, reproducibility, and generalizability of metabolomic profiling diagnoses and prognoses. CONCLUSIONS Metabolomic profiling research would benefit from standardization of study design and analytic approaches. As technologies improve and knowledge garnered from research accumulates, metabolomic profiling has the potential to provide personalized diagnostic and prognostic information to support surgical decision-making from preoperative to postdischarge phases of care.
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Affiliation(s)
- Tabassum Khan
- Department of Surgery, University of Florida, Gainesville,
FL, USA
| | - Tyler J. Loftus
- Department of Surgery, University of Florida, Gainesville,
FL, USA
| | | | - Tezcan Ozrazgat-Baslanti
- Department of Medicine, University of Florida, Gainesville,
FL, USA
- Precision and Intelligent Systems in Medicine (PrismaP),
University of Florida, Gainesville, FL
| | | | - Sabyasachi Bandhyopadyay
- Department of Medicine, University of Florida, Gainesville,
FL, USA
- Precision and Intelligent Systems in Medicine (PrismaP),
University of Florida, Gainesville, FL
| | - Evagelia C. Laiakis
- Department of Oncology, Georgetown University, Washington
DC, USA
- Department of Biochemistry and Molecular & Cellular
Biology, Georgetown University, Washington DC, USA
| | | | - Azra Bihorac
- Department of Medicine, University of Florida, Gainesville,
FL, USA
- Precision and Intelligent Systems in Medicine (PrismaP),
University of Florida, Gainesville, FL
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16
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Mayrink J, Leite DFB, Costa ML, Cecatti JG. Metabolomics for prediction of hypertension in pregnancy: a systematic review and meta-analysis protocol. BMJ Open 2020; 10:e040652. [PMID: 33376166 PMCID: PMC7778786 DOI: 10.1136/bmjopen-2020-040652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 11/23/2020] [Accepted: 12/03/2020] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Hypertension is a very important cause of maternal morbidity and mortality worldwide, despite efforts on prevention. The lack of a tool to provide effective and early prediction of hypertension for a high-risk group may contribute to improving maternal and fetal outcomes. Metabolomics has figured out as a promised technology to contribute to the improvement of hypertension in pregnancy prediction. METHODS AND ANALYSIS Our primary outcome is hypertensive disorders of pregnancy. A detailed systematic literature search will be performed in electronic databases PubMed, EMBASE, Scopus, Web of Science, Latin America and Caribbean Health Sciences Literature, Scientific Electronic Library Online, Health Technology Assessment and Database of Abstracts of Reviews of Effects using controlled terms 'pre-eclampsia', 'hypertensive disorders', 'metabolomics' and 'prediction' (and their variations). Studies from the latest 20 years will be included, except case reports, reviews, cross-sectional studies, letter to editors, expert opinions, commentaries papers or non-human research. If possible, we will perform a meta-analysis. Two peer-reviewers will independently perform the search and in cases of discordance, a third reviewer will be consulted. ETHICS AND DISSEMINATION As a systematic review, ethics approval is not required. The results of this review will present the current use and performance of metabolomics for predicting gestational hypertension. Such data could potentially guide future studies and interventions to improve existing prediction models. PROSPERO REGISTRATION NUMBER CRD42018097409.
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Affiliation(s)
- Jussara Mayrink
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
| | - Debora Farias Batista Leite
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
- Department of Maternal and Child Health, Federal University of Pernambuco, Recife, Brazil
| | - Maria Laura Costa
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
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17
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Guo Y, Wan S, Han M, Zhao Y, Li C, Cai G, Zhang S, Sun Z, Hu X, Cao H, Li Z. Plasma Metabolomics Analysis Identifies Abnormal Energy, Lipid, and Amino Acid Metabolism in Abdominal Aortic Aneurysms. Med Sci Monit 2020; 26:e926766. [PMID: 33257643 PMCID: PMC7718721 DOI: 10.12659/msm.926766] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Background Abdominal aortic aneurysm (AAA) is a complicated aortic dilatation disease. Metabolomics is an emerging system biology method. This aim of this study was to identify abnormal metabolites and metabolic pathways associated with AAA and to discover potential biomarkers that could affect the size of AAAs. Material/Methods An untargeted metabolomic method was used to analyze the plasma metabolic profiles of 39 patients with AAAs and 30 controls. Multivariate analysis methods were used to perform differential metabolite screening and metabolic pathway analysis. Cluster analysis and univariate analysis were performed to identify potential metabolites that could affect the size of an AAA. Results Forty-five different metabolites were identified with an orthogonal projection to latent squares-discriminant analysis model and the differences between them in the patients with AAAs and the control group were compared. A variable importance in the projection score >1 and P<0.05 were considered statistically significant. In patients with AAAs, the pathways involving metabolism of alanine, aspartate, glutamate, D-glutamine, D-glutamic acid, arginine, and proline; tricarboxylic acid cycling; and biosynthesis of arginine are abnormal. The progression of an AAA may be related to 13 metabolites: citric acid, 2-oxoglutarate, succinic acid, coenzyme Q1, pyruvic acid, sphingosine-1-phosphate, platelet-activating factor, LysoPC (16: 00), lysophosphatidylcholine (18: 2(9Z,12Z)/0: 0), arginine, D-aspartic acid, and L- and D-glutamine. Conclusions An untargeted metabolomic analysis using ultraperformance liquid chromatography-tandem mass spectrometry identified metabolites that indicate disordered metabolism of energy, lipids, and amino acids in AAAs.
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Affiliation(s)
- Yaming Guo
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Shuwei Wan
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Mingli Han
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Yubo Zhao
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Chuang Li
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Gaopo Cai
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Shuai Zhang
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Zhi Sun
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Xinhua Hu
- Department of Endovascular Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (mainland)
| | - Hui Cao
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
| | - Zhen Li
- Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China (mainland)
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Bocato MZ, Bianchi Ximenez JP, Hoffmann C, Barbosa F. An overview of the current progress, challenges, and prospects of human biomonitoring and exposome studies. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2019; 22:131-156. [PMID: 31543064 DOI: 10.1080/10937404.2019.1661588] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Human Biomonitoring (HB), the process for determining whether and to what extent chemical substances penetrated our bodies, serves as a useful tool to quantify human exposure to pollutants. In cases of nutrition and physiologic status, HB plays a critical role in the identification of excess or deficiency of essential nutrients. In pollutant HB studies, levels of substances measured in body fluids (blood, urine, and breast milk) or tissues (hair, nails or teeth) aid in the identification of potential health risks or associated adverse effects. However, even as a widespread practice in several countries, most HB studies reflect exposure to a single compound or mixtures which are measured at a single time point in lifecycle. On the other hand, throughout an individual's lifespan, the contact with different physical, chemical, and social stressors occurs at varying intensities, differing times and durations. Further, the interaction between stressors and body receptors leads to dynamic responses of the entire biological system including proteome, metabolome, transcriptome, and adductome. Bearing this in mind, a relatively new vision in exposure science, defined as the exposome, is postulated to expand the traditional practice of measuring a single exposure to one or few chemicals at one-time point to an approach that addresses measures of exposure to multiple stressors throughout the lifespan. With the exposome concept, the science of exposure advances to an Environment-Wide Association Perspective, which might exhibit a stronger relationship with good health or disease conditions for an individual (phenotype). Thus, this critical review focused on the current progress of HB and exposome investigations, anticipating some challenges, strategies, and future needs to be taken into account for designing future surveys.
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Affiliation(s)
- Mariana Zuccherato Bocato
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - João Paulo Bianchi Ximenez
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - Christian Hoffmann
- Departmento de Alimentos e Nutrição Experimental Faculdade de Ciências Farmacêuticas, Universidade de São Paulo , São Paulo , Brazil
| | - Fernando Barbosa
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
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Buszewska-Forajta M, Rachoń D, Stefaniak A, Wawrzyniak R, Konieczna A, Kowalewska A, Markuszewski MJ. Identification of the metabolic fingerprints in women with polycystic ovary syndrome using the multiplatform metabolomics technique. J Steroid Biochem Mol Biol 2019; 186:176-184. [PMID: 30670174 DOI: 10.1016/j.jsbmb.2018.10.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 10/16/2018] [Accepted: 10/24/2018] [Indexed: 12/19/2022]
Abstract
In addition to chronic anovulation and clinical signs of hyperandrogenism women with polycystic ovary syndrome (PCOS) are insulin resistant and therefore, develop central obesity with its long term consequences such as dyslipidaemia, hypertension, atherosclerosis and type 2 diabetes mellitus (T2DM), which all lead to the development of cardiovascular disease (CVD). Due to the polysymptomatic nature of this syndrome and lack of consensus on its diagnostic criteria there is a strong need of finding a reliable biochemical or molecular marker, which would facilitate making the accurate diagnosis of PCOS. Therefore, the aim of our study was to perform a metabolomics analysis with the use of two complementary techniques: gas chromatography and liquid chromatography coupled with mass spectrometry, of the serum samples from women with PCOS (n = 30) and to compare them with healthy age and BMI matched controls (n = 30). Obtained results were subjected to one-dimensional statistical analysis (student's t-test or its non-parametric equivalent U Mann-Whitney test) and multivariate statistical analysis (the principal component analysis [PCA], variable importance into projection [VIP] and selectivity ratio [SR]). The results of our study showed that women with PCOS are characterised by metabolic disorders of the amino acids, carbohydrates, steroid hormones, lipids and purines. Compared to control subjects, women with PCOS had increased serum levels of phospholipids, aromatic amino acids, organic acids, hormones and sphinganine and decreased total cholesterol. Among the identified compounds, total cholesterol, phenylalanine and dehydroepiandrosterone sulfate, uric and lactic acid were the compounds with the strongest discriminating power.
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Affiliation(s)
- Magdalena Buszewska-Forajta
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland
| | - Dominik Rachoń
- Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | - Anna Stefaniak
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland
| | - Renata Wawrzyniak
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland
| | - Aleksandra Konieczna
- Department of Clinical and Experimental Endocrinology, Medical University of Gdańsk, Dębinki 7, 80-210 Gdańsk, Poland
| | | | - Michał Jan Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
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Wang H, Hu JH, Liu CC, Liu M, Liu Z, Sun LX. LC-MS based cell metabolic profiling of tumor cells: a new predictive method for research on the mechanism of action of anticancer candidates. RSC Adv 2018; 8:16645-16656. [PMID: 35540548 PMCID: PMC9080298 DOI: 10.1039/c8ra00242h] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Accepted: 04/20/2018] [Indexed: 01/28/2023] Open
Abstract
In the process of anticancer drug development, research on the mechanism of action remains a major obstacle. In the present study, a cell metabolic profiling based discriminatory model was designed to give general direction on anticancer candidate mechanisms. Firstly, ultra-performance liquid chromatography in tandem with high-definition mass spectrometry was applied to obtain a comprehensive metabolic view of 12 human tumor cells. Secondly, multivariate data analysis was used to assess the metabolites' variations, and 42 metabolites were identified as the main contributors to the discrimination of different groups. Then a metabolite-based prediction model was constructed for the first time and verified by cross validation (R 2 = 0.909 and Q 2 = 0.869) and a permutation test (R 2 = 0.0871 and Q 2 = -0.4360). To validate if the model can be applied for mechanism prediction, 4 independent sample sets were used to train the model and the data dots of different drugs were located in different regions. Finally, the model was applied to predict the anticancer mechanism of two natural compounds and the results were consistent with several other studies. Overall, this is the first experimental evidence which reveals that a metabolic profiling based prediction model has good performance in anticancer mechanism research, and thus it may be a new method for rapid mechanism screening.
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Affiliation(s)
- Hua Wang
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University Shenyang 110016 China +86 02443520600
| | - Jia-Hui Hu
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University Shenyang 110016 China +86 02443520600
| | - Cui-Chai Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University Shenyang 110016 China +86 02443520600
| | - Min Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University Shenyang 110016 China +86 02443520600
| | - Zheng Liu
- GLP Center, School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University Shenyang China
| | - Li-Xin Sun
- Department of Pharmaceutical Analysis, School of Pharmacy, Shenyang Pharmaceutical University Shenyang 110016 China +86 02443520600
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21
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Maternal Plasma Metabolomic Profiles in Spontaneous Preterm Birth: Preliminary Results. Mediators Inflamm 2018; 2018:9362820. [PMID: 29670470 PMCID: PMC5833472 DOI: 10.1155/2018/9362820] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 10/18/2017] [Accepted: 12/07/2017] [Indexed: 01/11/2023] Open
Abstract
Objective To profile maternal plasma metabolome in spontaneous preterm birth. Method In this retrospective case-control study, we have examined plasma of patient with preterm birth (between 22 and 36 weeks of pregnancy (n = 57)), with threatened preterm labor (between 23 and 36 weeks of pregnancy (n = 49)), and with term delivery (n = 25). Plasma samples were analysed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-TOF-MS) in positive and negative polarity modes. Results We found 168 differentially expressed metabolites that were significantly distinct between study groups. We determined 51 metabolites using publicly available databases that could be subdivided into one of the five groups: amino acids, fatty acids, lipids, hormones, and bile acids. PLS-DA models, verified by SVM classification accuracy, differentiated preterm birth and term delivery groups. Conclusions Maternal plasma metabolites are different between term and preterm parturitions. Part of them may be related with preterm labor, while others may be affected by gestational age or the beginning of labor. Metabolite profile can classify preterm or term delivery groups raising the potential of metabolome as a biomarker to identify high-risk pregnancies. Metabolomic studies are also a tool to detect individual compounds that may be further tested in targeted researches.
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22
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Pietrowska K, Dmuchowska DA, Krasnicki P, Bujalska A, Samczuk P, Parfieniuk E, Kowalczyk T, Wojnar M, Mariak Z, Kretowski A, Ciborowski M. An exploratory LC-MS-based metabolomics study reveals differences in aqueous humor composition between diabetic and non-diabetic patients with cataract. Electrophoresis 2018; 39:1233-1240. [PMID: 29292830 DOI: 10.1002/elps.201700411] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 12/19/2017] [Accepted: 12/20/2017] [Indexed: 11/12/2022]
Abstract
Cataract is the leading cause of blindness worldwide. Epidemiological studies revealed up to a fivefold increased prevalence of cataracts in diabetic subjects. Metabolomics is nowadays frequently implemented to understand pathophysiological processes responsible for disease occurrence and progression. It has also been used recently to study the metabolic composition of aqueous humor (AH). AH is a transparent fluid which fills the anterior and posterior chambers of the eye. It supplies nutrients and removes metabolic waste from avascular tissues in the eye. The aim of this study was to use metabolomics to compare the AH of diabetic and non-diabetic patients undergoing cataract surgery. Several antioxidants (methyltetrahydrofolic acid, taurine, niacinamide, xanthine, and uric acid) were found decreased (-22 to -61%, p-value 0.05-0.003) in AH of diabetics. Also amino acids (AA) and derivatives were found decreased (-21 to -36%, p-value 0.05-0.01) while glycosylated AA increased (+75-98%, p-value 0.03-0.009) in this group of patients. Metformin was detected in AH of people taking this drug. To our knowledge, this is the first metabolomics study aiming to assess differences in AH composition between diabetic and non-diabetic patients with cataract. An increased oxidative stress and perturbations in amino acid metabolism in AH may be responsible for earlier cataract onset in diabetic patients.
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Affiliation(s)
- Karolina Pietrowska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | | | - Pawel Krasnicki
- Department of Ophthalmology, Medical University of Bialystok, Bialystok, Poland
| | - Aleksandra Bujalska
- Department of Ophthalmology, Medical University of Bialystok, Bialystok, Poland
| | - Paulina Samczuk
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Ewa Parfieniuk
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Tomasz Kowalczyk
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Malgorzata Wojnar
- Department of Ophthalmology, Medical University of Bialystok, Bialystok, Poland
| | - Zofia Mariak
- Department of Ophthalmology, Medical University of Bialystok, Bialystok, Poland
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland.,Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
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23
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Benito S, Sánchez-Ortega A, Unceta N, Andrade F, Aldámiz-Echevarria L, Goicolea MA, Barrio RJ. Untargeted metabolomics for plasma biomarker discovery for early chronic kidney disease diagnosis in pediatric patients using LC-QTOF-MS. Analyst 2018; 143:4448-4458. [DOI: 10.1039/c8an00864g] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Pediatric chronic kidney disease (CKD) is a clinical syndrome characterized by renal hypofunction occurring due to gradual and irreversible kidney damage that can further progress over time.
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Affiliation(s)
- S. Benito
- Department of Analytical Chemistry
- University of the Basque Country (UPV/EHU)
- Faculty of Pharmacy
- Paseo de la Universidad 7
- 01006 Vitoria-Gasteiz
| | - A. Sánchez-Ortega
- Central Service of Analysis (SGiker)
- University of the Basque Country (UPV/EHU)
- 01006 Vitoria-Gasteiz
- Spain
| | - N. Unceta
- Department of Analytical Chemistry
- University of the Basque Country (UPV/EHU)
- Faculty of Pharmacy
- Paseo de la Universidad 7
- 01006 Vitoria-Gasteiz
| | - F. Andrade
- Group of Metabolism
- BioCruces Health Research Institute
- CIBER de Enfermedades Raras (CIBERER)
- 48903 Barakaldo
- Spain
| | - L. Aldámiz-Echevarria
- Group of Metabolism
- BioCruces Health Research Institute
- CIBER de Enfermedades Raras (CIBERER)
- 48903 Barakaldo
- Spain
| | - M. A. Goicolea
- Department of Analytical Chemistry
- University of the Basque Country (UPV/EHU)
- Faculty of Pharmacy
- Paseo de la Universidad 7
- 01006 Vitoria-Gasteiz
| | - R. J. Barrio
- Department of Analytical Chemistry
- University of the Basque Country (UPV/EHU)
- Faculty of Pharmacy
- Paseo de la Universidad 7
- 01006 Vitoria-Gasteiz
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24
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Zmyslowska A, Ciborowski M, Borowiec M, Fendler W, Pietrowska K, Parfieniuk E, Antosik K, Pyziak A, Waszczykowska A, Kretowski A, Mlynarski W. Serum Metabolic Fingerprinting Identified Putatively Annotated Sphinganine Isomer as a Biomarker of Wolfram Syndrome. J Proteome Res 2017; 16:4000-4008. [DOI: 10.1021/acs.jproteome.7b00401] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Agnieszka Zmyslowska
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Michal Ciborowski
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Maciej Borowiec
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Wojciech Fendler
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Karolina Pietrowska
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Ewa Parfieniuk
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Karolina Antosik
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Aleksandra Pyziak
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Arleta Waszczykowska
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Adam Kretowski
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
| | - Wojciech Mlynarski
- Department of Pediatrics, Oncology, Hematology and Diabetology, ‡Department of Clinical
Genetics, §Department of Biostatistics and Translational Medicine, and ⊥Department of
Ophthalmology and Vision Rehabilitation, Medical University of Lodz, Lodz 91-738, Poland
- Clinical Research Centre and ∥Department of Endocrinology, Diabetology and Internal
Medicine, Medical University of Bialystok, Bialystok 15-089, Poland
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Qureshi MI, Greco M, Vorkas PA, Holmes E, Davies AH. Application of Metabolic Profiling to Abdominal Aortic Aneurysm Research. J Proteome Res 2017; 16:2325-2332. [PMID: 28287739 DOI: 10.1021/acs.jproteome.6b00894] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Abdominal aortic aneurysm (AAA) is a complex disease posing diagnostic and therapeutic challenges. Metabonomics may aid in the diagnosis of AAA, determination of individualized risk, discovery of therapeutic targets, and improve understanding of pathogenesis. A systematic review of the diversity and outcomes of existing AAA metabonomic research has been performed. Original research studies applying metabonomics to human aneurysmal disease are included. Seven relevant articles were identified: four studies were based on plasma/serum metabolite profiling, and three studies examined aneurysmal tissue. Aminomalonic acid, guanidinosuccinic acid, and glycerol emerge as potential plasma biomarkers of large aneurysm. Lipid profiling improves predictive models of aneurysm presence. Patterns of metabolite variation associated with AAA relate to carbohydrate and lipid metabolism. Perioperative perturbations in metabolites suggest differential systemic inflammatory responses to surgery, generating hypotheses for adjunctive perioperative therapy. Significant limitations include small study sizes, lack of correction for multiple testing false discovery rates, and single time-point sampling. Metabolic profiling carries the potential to identify biomarkers of AAA and elucidate pathways underlying aneurysmal disease. Statistically and methodologically robust studies are required for validation, addressing the hiatus in understanding mechanisms of aneurysm growth and developing effective treatment strategies.
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Affiliation(s)
- Mahim I Qureshi
- Section of Vascular Surgery, Imperial College London , 4 North, Charing Cross Hospital, Fulham Palace Road, London W6 8RF, United Kingdom
| | - Michele Greco
- Section of Vascular Surgery, Imperial College London , 4 North, Charing Cross Hospital, Fulham Palace Road, London W6 8RF, United Kingdom
| | - Panagiotis A Vorkas
- Computational & Systems Medicine, Imperial College London , Sixth Floor, Sir Alexander Fleming Building, Exhibition Road, South Kensington, London SW7 2AZ, United Kingdom
| | - Elaine Holmes
- Computational & Systems Medicine, Imperial College London , Sixth Floor, Sir Alexander Fleming Building, Exhibition Road, South Kensington, London SW7 2AZ, United Kingdom
| | - Alun H Davies
- Section of Vascular Surgery, Imperial College London , 4 North, Charing Cross Hospital, Fulham Palace Road, London W6 8RF, United Kingdom
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Doppler C, Arnhard K, Dumfarth J, Heinz K, Messner B, Stern C, Koal T, Klavins K, Danzl K, Pitterl F, Grimm M, Oberacher H, Bernhard D. Metabolomic profiling of ascending thoracic aortic aneurysms and dissections - Implications for pathophysiology and biomarker discovery. PLoS One 2017; 12:e0176727. [PMID: 28467501 PMCID: PMC5415060 DOI: 10.1371/journal.pone.0176727] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 04/14/2017] [Indexed: 02/04/2023] Open
Abstract
Objective Our basic understanding of ascending thoracic aortic aneurysm (ATAA) pathogenesis is still very limited, hampering early diagnosis, risk prediction, and development of treatment options. “Omics”-technologies, ideal to reveal tissue alterations from the normal physiological state due to disease have hardly been applied in the field. Using a metabolomic approach, with this study the authors seek to define tissue differences between controls and various forms of ATAAs. Methods Using a targeted FIA-MS/MS metabolomics approach, we analysed and compared the metabolic profiles of ascending thoracic aortic wall tissue of age-matched controls (n = 8), bicuspid aortic valve-associated aneurysms (BAV-A; n = 9), tricuspid aortic valve-associated aneurysms (TAV-A; n = 14), and tricuspid aortic valve-associated aortic dissections (TAV-Diss; n = 6). Results With sphingomyelin (SM) (OH) C22:2, SM C18:1, SM C22:1, and SM C24:1 only 4 out of 92 detectable metabolites differed significantly between controls and BAV-A samples. Between controls and TAV-Diss samples only phosphatidylcholine (PC) ae C32:1 differed. Importantly, our analyses revealed a general increase in the amount of total sphingomyelin levels in BAV-A and TAV-Diss samples compared to controls. Conclusions Significantly increased levels of sphingomyelins in BAV-A and TAV-Diss samples compared to controls may argue for a repression of sphingomyelinase activity and the sphingomyelinase-ceramide pathway, which may result in an inhibition of tissue regeneration; a potential basis for disease initiation and progression.
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Affiliation(s)
- Christian Doppler
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
- Cardiac, Vascular, and Thoracic Surgery, Medical Faculty, Johannes-Kepler University, Linz, Austria
| | - Kathrin Arnhard
- Institute of Legal Medicine and Core Facility Metabolomics, Innsbruck Medical University, Innsbruck, Austria
| | - Julia Dumfarth
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
| | - Katharina Heinz
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
| | - Barbara Messner
- Department of Cardiac Surgery, Vienna Medical University, Vienna, Austria
| | - Christian Stern
- Department of Cardiac Surgery, Vienna Medical University, Vienna, Austria
| | | | | | - Katarina Danzl
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
| | - Florian Pitterl
- Institute of Legal Medicine and Core Facility Metabolomics, Innsbruck Medical University, Innsbruck, Austria
| | - Michael Grimm
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
| | - Herbert Oberacher
- Institute of Legal Medicine and Core Facility Metabolomics, Innsbruck Medical University, Innsbruck, Austria
| | - David Bernhard
- Cardiac Surgery Research Laboratory, University Clinic for Cardiac Surgery, Innsbruck Medical University, Innsbruck, Austria
- Cardiac, Vascular, and Thoracic Surgery, Medical Faculty, Johannes-Kepler University, Linz, Austria
- * E-mail:
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Navarrete A, Rupérez FJ, Mendes TO, Pérez-Rial S, Girón-Martínez A, Terrón-Expósito R, Díaz-Gil JJ, Peces-Barba G, Barbas C, García A. A metabolomic approach shows sphingosine 1-phosphate and lysophospholipids as mediators of the therapeutic effect of liver growth factor in emphysema. J Pharm Biomed Anal 2017; 139:238-246. [PMID: 28314215 DOI: 10.1016/j.jpba.2017.02.045] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2016] [Revised: 02/18/2017] [Accepted: 02/26/2017] [Indexed: 02/06/2023]
Abstract
Tobacco smoke exposure is the principal cause of lung tissue destruction, which in turn results in emphysema that leads into shortness of breath. Liver growth factor (LGF, a cell and tissue regenerating factor with therapeutic activity in several organs) has antifibrotic and antioxidant properties that could be useful to promote lung tissue regenerating capacity in damaged lungs. The current study has examined differences in metabolite profiles (fingerprints) of plasma from mice (strain C57BL/6J, susceptible to develop emphysema) exposed to tobacco smoke during six months. One group of mice received a treatment with Liver Growth Factor (LGF) after emphysema was established, whereas the other group did not receive the treatment. Age and sex-matched mice not exposed to smoke were also maintained with or without treatment as controls. Metabolic fingerprints (untargeted analysis) of plasma after protein precipitation were obtained by LC-QTOF-MS. The signals were processed and a large number of possible metabolites were found (23944). Multivariate data analysis provided models that highlighted the differences between control and smoke exposed mice in both conditions. Accurate masses of features (possible compounds) representing significant differences were searched using online public databases. Lipid mediators, related to intracellular signaling in inflammation, were found among the metabolites putatively identified as markers of the different conditions and among them, sphingosine, sphingosine 1-phosphate and lysophospholipids point at the relevance of such metabolites in the regulation of the processes related to tissue regeneration mediated by LGF. These results also suggest that metabolomic fingerprinting could potentially guide the characterization of relevant metabolites leading the regeneration of lungs in emphysema disease.
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Affiliation(s)
- A Navarrete
- CEMBIO (Center for Metabolomics and Bioanalysis), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Boadilla del Monte, 28668, Madrid, Spain
| | - F J Rupérez
- CEMBIO (Center for Metabolomics and Bioanalysis), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Boadilla del Monte, 28668, Madrid, Spain
| | - T O Mendes
- CEMBIO (Center for Metabolomics and Bioanalysis), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Boadilla del Monte, 28668, Madrid, Spain
| | - S Pérez-Rial
- Pulmonology Experimental Lab., IIS-Fundación Jiménez Díaz-UAM-CIBERES, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - A Girón-Martínez
- Pulmonology Experimental Lab., IIS-Fundación Jiménez Díaz-UAM-CIBERES, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - R Terrón-Expósito
- Pulmonology Experimental Lab., IIS-Fundación Jiménez Díaz-UAM-CIBERES, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - J J Díaz-Gil
- Pulmonology Experimental Lab., IIS-Fundación Jiménez Díaz-UAM-CIBERES, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - G Peces-Barba
- Pulmonology Experimental Lab., IIS-Fundación Jiménez Díaz-UAM-CIBERES, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - C Barbas
- CEMBIO (Center for Metabolomics and Bioanalysis), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Boadilla del Monte, 28668, Madrid, Spain
| | - A García
- CEMBIO (Center for Metabolomics and Bioanalysis), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Boadilla del Monte, 28668, Madrid, Spain.
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Bao Y, Wang S, Yang X, Li T, Xia Y, Meng X. Metabolomic study of the intervention effects of Shuihonghuazi Formula, a Traditional Chinese Medicinal formulae, on hepatocellular carcinoma (HCC) rats using performance HPLC/ESI-TOF-MS. JOURNAL OF ETHNOPHARMACOLOGY 2017; 198:468-478. [PMID: 28108381 DOI: 10.1016/j.jep.2017.01.029] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 01/11/2017] [Accepted: 01/16/2017] [Indexed: 06/06/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Metabolomics is the comprehensive assessment of endogenous metabolites of a biological system in a holistic context, and its property consists with the global view of Traditional Chinese Medicine (TCM). Shuihonghuazi Formula (SHHZF) has been used for liver cancer early treatment in clinical for more than thirty years, but its mechanism remains unclear completely. This paper was designed to explore the therapeutic effects of SHHZF on liver cancer and its metabolomic characters. MATERIALS AND METHODS All the rats were given diethylnitrosamine (DEN) at the dosage of 70mg/kg for 14 weeks. From the 7th weeks, SHHZF was given to the rats which lasted for 10 weeks. Therapeutic effects of SHHZF was compared with that of cyclophosphamide (CTX). High performance liquid-chromatography/electrospray-ionization time of flight mass spectrometer (HPLC/ESI-TOF-MS) combined with pattern recognition approaches including principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), was integrated to approximate the comprehensive metabolic signature and discover differentiating metabolites by Agilent MPP 12.1. The changes in metabolic profiling in plasma were restored to their baseline values after SHHZF treatment according to the PLS-DA score plots. RESULTS The results indicated that 23 ions as "differentiating metabolites". The alterations in those metabolites were associated with perturbations in fatty acid and bile acid metabolism, in response to liver cancer through immune and nervous system. And SHHZF could increase the uptake and utilization of linoleic acid and oleic acid, increase arachidonic acid-like substance content and enhance organism immunity of liver cancer rats. And it also could increase the translation from phosphatidylethanolamine (PE) to phosphatidylcholine (PC), linoleic acid metabolism and inhibits abnormal metabolism of bile acid. CONCLUSIONS The mechanism of therapeutic effects of SHHZF on liver cancer by adjusting the activities of PE N-methyl transferase (PEMT), Lysophospholipase D, methylenetetrahydrofolate reductase (MTHFR) and lysophospholipase was elucidated by the method of metabonomics for the first time.
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MESH Headings
- Animals
- Bile Acids and Salts/metabolism
- Carcinoma, Hepatocellular/drug therapy
- Carcinoma, Hepatocellular/pathology
- Chromatography, High Pressure Liquid/methods
- Discriminant Analysis
- Drugs, Chinese Herbal/pharmacology
- Least-Squares Analysis
- Lipid Metabolism/drug effects
- Liver Neoplasms, Experimental/drug therapy
- Liver Neoplasms, Experimental/pathology
- Male
- Medicine, Chinese Traditional
- Metabolomics/methods
- Principal Component Analysis
- Rats
- Rats, Sprague-Dawley
- Spectrometry, Mass, Electrospray Ionization/methods
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Affiliation(s)
- Yongrui Bao
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian 116600, PR China
| | - Shuai Wang
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian 116600, PR China
| | - Xinxin Yang
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China
| | - Tianjiao Li
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China
| | - Yueming Xia
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China
| | - Xiansheng Meng
- College of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, PR China; Liaoning University of Traditional Chinese Medicine-Agilent Technologies Modern TCM and Multi-omics Research Collaboration Lab, Dalian 116600, PR China.
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Pietrowska K, Dmuchowska DA, Samczuk P, Kowalczyk T, Krasnicki P, Wojnar M, Skowronska A, Mariak Z, Kretowski A, Ciborowski M. LC-MS-Based Metabolic Fingerprinting of Aqueous Humor. JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY 2017; 2017:6745932. [PMID: 28154769 PMCID: PMC5244013 DOI: 10.1155/2017/6745932] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 12/06/2016] [Indexed: 05/05/2023]
Abstract
Aqueous humor (AH) is a transparent fluid which fills the anterior and posterior chambers of the eye. It supplies nutrients and removes metabolic waste from avascular tissues in the eye. Proper homeostasis of AH is required to maintain adequate intraocular pressure as well as optical and refractive properties of the eye. Application of metabolomics to study human AH may improve knowledge about the molecular mechanisms of eye diseases. Until now, global analysis of metabolites in AH has been mainly performed using NMR. Among the analytical platforms used in metabolomics, LC-MS allows for the highest metabolome coverage. The aim of this study was to develop a method for extraction and analysis of AH metabolites by LC-QTOF-MS. Different protocols for AH preparation were tested. The best results were obtained when one volume of AH was mixed with one volume of methanol : ethanol (1 : 1). In the final method, 2 µL of extracted sample was analyzed by LC-QTOF-MS. The method allowed for reproducible measurement of over 1000 metabolic features. Almost 250 metabolites were identified in AH and assigned to 47 metabolic pathways. This method is suitable to study the potential role of amino acids, lipids, oxidative stress, or microbial metabolites in development of ocular diseases.
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Affiliation(s)
- Karolina Pietrowska
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Diana Anna Dmuchowska
- Department of Ophthalmology, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Paulina Samczuk
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Tomasz Kowalczyk
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Pawel Krasnicki
- Department of Ophthalmology, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Malgorzata Wojnar
- Department of Ophthalmology, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Aleksandra Skowronska
- Department of Ophthalmology, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Zofia Mariak
- Department of Ophthalmology, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej Curie 24a, 15-276 Bialystok, Poland
- *Michal Ciborowski:
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Serum metabolic fingerprinting after exposure of rats to quinolinic acid. J Pharm Biomed Anal 2016; 131:175-182. [PMID: 27596829 DOI: 10.1016/j.jpba.2016.08.024] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 07/29/2016] [Accepted: 08/27/2016] [Indexed: 01/28/2023]
Abstract
Quinolinic acid (QUIN), one of the end metabolites in the kynurenine pathway, plays an important role in the pathogenesis of several diseases. Serum QUIN concentration rises in patients with renal dysfunction, liver cirrhosis, and many other inflammatory diseases. In the present study, osmotic minipumps containing QUIN (0.3 and 1mg/day) were implanted intraperitoneally into rats for 28days. Then, the physiological and toxicological variables were evaluated and LC-QTOF-MS serum metabolic fingerprinting was performed. QUIN significantly decreased the serum concentrations of several amino acids (phenylalanine, valine, tyrosine, and tryptophan), pantothenic acid, branched chain C4 acylcarnitine, total cholesterol, and glucose; increased the serum concentrations of amides (pentadecanoic amide, palmitic amide, oleamide, and stearamide), polyamines (spermine and spermidine), sphingosine, and deoxy-prostaglandin; caused alterations in phospholipids. This is the first report of comprehensive metabolites analysis after chronic intraperitoneal administration of QUIN. Further studies could develop new therapeutics for patients with disorders accompanied by increased serum level of QUIN.
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Mourmoura E, Vasilaki A, Giannoukas A, Michalodimitrakis E, Pavlidis P, Tsezou A. Evidence of deregulated cholesterol efflux in abdominal aortic aneurysm. Acta Histochem 2016; 118:97-108. [PMID: 26725543 DOI: 10.1016/j.acthis.2015.11.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 11/24/2015] [Accepted: 11/30/2015] [Indexed: 11/17/2022]
Abstract
Previous studies indicated that lipids may be associated with abdominal aortic aneurysm (AAA); however the molecular mechanism involved is unclear. Our study aimed to investigate the expression pattern of cholesterol efflux related proteins in AAA. Liver X receptors (LXRα and LXRβ), ATP-binding-cassette transporter A1 (ABCA1), Apolipoprotein AI (ApoAI), smooth muscle α-actin (α-SM) and vimentin expression levels were evaluated in human AAA, atherosclerotic (ATH) and normal abdominal aortic tissues. We found significant differences in LXRα, LXRβ and ABCA1 mRNA expression levels between AAA, ATH and normal whole aortic tissues and also within the AAA, ATH and normal "intima-media" layers. Specifically, LXRα, LXRβ and ABCA1 mRNA levels were decreased in AAA compared to ATH-whole tissues, as well as in AAA "intima-media" compared to ATH and normal "intima-media" layers. Moreover, immunohistochemical evaluation revealed that LXRα and ABCA1 immunoreactivities (IR) were reduced in the AAA media compared to the normal and ATH media layers and that they were also reduced in the intima layer of AAA and ATH tissues, whereas ApoAI-IR was increased in the AAA and ATH aortic walls compared to normal pointing to possible deregulation of the cholesterol efflux mechanism in AAA. Furthermore, double staining for vimentin and α-SM showed vimentin expression in the intima and inner media layer of AAA with sparse vimentin positive SMCs designating possible SMCs phenotype switch from contractile to synthetic form. In addition, histochemical analysis showed excessive lipid accumulation in the AAA wall, while co-staining using Oil Red O with α-SM or CD68 revealed lipid accumulation in SMCs and macrophages, respectively. Our study provides novel evidence for impaired cholesterol efflux in AAA associated with lipid accumulation in SMCs and macrophages, as well as switch of SMCs phenotype from contractile to synthetic form.
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Affiliation(s)
- Evanthia Mourmoura
- University of Thessaly, Faculty of Medicine, Department of Cytogenetics and Molecular Genetics, Biopolis, Larissa 41100, Greece
| | - Anna Vasilaki
- University of Thessaly, Faculty of Medicine, Department of Pharmacology, Biopolis, Larissa 41100, Greece
| | - Athanasios Giannoukas
- University of Thessaly, Faculty of Medicine, Department of Vascular Surgery, Mezourlo, Larissa 41100, Greece
| | | | - Pavlos Pavlidis
- Democritus University of Thrace, Faculty of Medicine, Department of Forensic Medicine, Alexandroupolis 68100, Greece
| | - Aspasia Tsezou
- University of Thessaly, Faculty of Medicine, Department of Cytogenetics and Molecular Genetics, Biopolis, Larissa 41100, Greece; University of Thessaly, Faculty of Medicine, Department of Biology, Biopolis, Larissa 41100, Greece.
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From sample treatment to biomarker discovery: A tutorial for untargeted metabolomics based on GC-(EI)-Q-MS. Anal Chim Acta 2015; 900:21-35. [PMID: 26572836 DOI: 10.1016/j.aca.2015.10.001] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 09/29/2015] [Accepted: 10/08/2015] [Indexed: 12/24/2022]
Abstract
This tutorial provides a comprehensive description of the GC-MS-based untargeted metabolomics workflow including: ethical approval requirement, sample collection and storage, equipment maintenance and setup, sample treatment, monitoring of analytical variability, data pre-processing including deconvolution by free software such as AMDIS, data processing, statistical analysis and validation, detection of outliers and biological interpretation of the results. For each stage tricks will be suggested, pitfalls will be highlighted and advice will be provided on how to get the best from this methodology and technique. In addition, a step-by-step procedure and an example of our in-house library have been included in the supplementary material to lead the user through the concepts described herein. As a case study, an interesting example from one of our experiments at CEMBIO Research Centre is described, presenting an example of the use of this ready-to use protocol for identification of a metabolite that was not previously included in Fiehn commercial target library.
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Naz S, Calderón ÁA, García A, Gallafrio J, Mestre RT, González EG, de Cabo CM, Delgado MCM, Balanza JÁL, Simionato AVC, Vaeza NN, Barbas C, Rupérez FJ. Unveiling differences between patients with acute coronary syndrome with and without ST elevation through fingerprinting with CE-MS and HILIC-MS targeted analysis. Electrophoresis 2015; 36:2303-2313. [PMID: 26177736 DOI: 10.1002/elps.201500169] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/25/2015] [Accepted: 06/26/2015] [Indexed: 12/25/2022]
Abstract
Differences in the degree and severity of Acute Coronary Syndrome, associated to differences in the electrocardiogram, together with blood tests of biomarkers classify patients for diagnosis and treatment. Cases where the electrocardiogram and/or biomarkers are not conclusive still appear, and there is a need for complementary biomarkers for routine determinations. Metabolomics approaches with blind fingerprinting could reveal differences in metabolites, which must be confirmed by means of targeted determinations. CE-MS and HILIC-MS are well suited for the determination of highly polar compounds, like those from to the intermediate metabolism, altered due to acute stress induced by myocardial infarction. Serum from patients with ST-elevated and non-ST elevated myocardial infarction was collected at intensive care and emergency units, and fingerprinted with CE-MS. Data pretreatment and analysis showed up carnitine-related compounds and amino acids differentially present in both groups. Acylcarnitines and amino acids were then quantitatively measured with HILIC-MS-QqQ. The significance of the differences and the sensitivity/specificity of each compound were individually evaluated. The ratio of free carnitine to acylcarnitines, together with the ratios of acetylcarnitine to betaine, to threonine, and to citrulline, showed high significance and area under the curve in the respective receiver operating characteristic curves. This study opens new possibilities for defining new sets of biomarkers for refining the diagnosis of the patients with difficult classification.
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Affiliation(s)
- Shama Naz
- CEMBIO, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain
| | | | - Antonia García
- CEMBIO, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain
| | - Jessica Gallafrio
- CEMBIO, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain.,Departamento de Química Analítica, Instituto de Química, State University of Campinas, São Paulo, Brazil
| | | | | | | | | | | | | | | | - Coral Barbas
- CEMBIO, Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain
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Guijarro-Díez M, Nozal L, Marina ML, Crego AL. Metabolomic fingerprinting of saffron by LC/MS: novel authenticity markers. Anal Bioanal Chem 2015. [DOI: 10.1007/s00216-015-8882-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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35
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Metabolomic analysis of clinical plasma from cerebral infarction patients presenting with blood stasis. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2015; 2015:453423. [PMID: 25834622 PMCID: PMC4365334 DOI: 10.1155/2015/453423] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 02/17/2015] [Accepted: 02/18/2015] [Indexed: 12/18/2022]
Abstract
Blood stasis (BS) is characterized as a disorder of blood circulation. In traditional Korean medicine (TKM), it is viewed as a cause factor of diseases such as multiple sclerosis and stroke. This study investigated differences in the plasma metabolites profiles of subjects displaying BS or non-BS patterns. Thirty-one patients with cerebral infarction diagnosed with BS and an equal number of sex- and age-matched non-BS patients were enrolled. Metabolic profiling was performed using UPLC-MS. The ratio of subjects with a rough pulse and purple coloration of the tongue was higher in patients presenting with BS pattern. Through metabolomics analysis, 82 metabolites that differed significantly between the BS and non-BS pattern were identified, and the two groups were significantly separated using an orthogonal partial least square-discriminant analysis model (P < 0.001). Of these 82 metabolites, acetyl carnitine, leucine, kynurenine, phosphocholine, hexanoyl carnitine, and decanoyl carnitine were present in significantly higher levels in patients with a BS pattern than those with a non-BS pattern. Our results also demonstrated that seven plasma metabolites, including acyl-carnitines and kynurenine, were associated with a BS pattern, suggesting that variant plasma metabolic profiles may serve as a biomarker for diagnosis of BS in patients with cerebral infarction.
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Quantification of endogenous metabolites by the postcolumn infused-internal standard method combined with matrix normalization factor in liquid chromatography–electrospray ionization tandem mass spectrometry. J Chromatogr A 2015; 1375:62-8. [DOI: 10.1016/j.chroma.2014.11.073] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Revised: 11/03/2014] [Accepted: 11/27/2014] [Indexed: 11/19/2022]
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Emwas AHM, Al-Talla ZA, Kharbatia NM. Sample collection and preparation of biofluids and extracts for gas chromatography-mass spectrometry. Methods Mol Biol 2015; 1277:75-90. [PMID: 25677148 DOI: 10.1007/978-1-4939-2377-9_7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
To maximize the utility of gas chromatography-mass spectrometry (GC-MS) in metabonomics research, all stages of the experimental design should be standardized, including sample collection, storage, preparation, and sample separation. Moreover, the prerequisite for any GC-MS analysis is that a compound must be volatile and thermally stable if it is to be analyzed using this technique. Since many metabolites are nonvolatile and polar in nature, they are not readily amenable to analysis by GC-MS and require initial chemical derivatization of the polar functional groups in order to reduce the polarity and to increase the thermal stability and volatility of the analytes. In this chapter, an overview is presented of the optimum approach to sample collection, storage, and preparation for gas chromatography-mass spectrometry-based metabonomics with particular focus on urine samples as example of biofluids.
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Affiliation(s)
- Abdul-Hamid M Emwas
- NMR Core Lab, King Abdullah University of Science and Technology, Room 0149, 23955-6900, Thuwal, Kingdom of Saudi Arabia,
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38
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Bujak R, Struck-Lewicka W, Markuszewski MJ, Kaliszan R. Metabolomics for laboratory diagnostics. J Pharm Biomed Anal 2014; 113:108-20. [PMID: 25577715 DOI: 10.1016/j.jpba.2014.12.017] [Citation(s) in RCA: 237] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Revised: 12/08/2014] [Accepted: 12/10/2014] [Indexed: 12/24/2022]
Abstract
Metabolomics is an emerging approach in a systems biology field. Due to continuous development in advanced analytical techniques and in bioinformatics, metabolomics has been extensively applied as a novel, holistic diagnostic tool in clinical and biomedical studies. Metabolome's measurement, as a chemical reflection of a current phenotype of a particular biological system, is nowadays frequently implemented to understand pathophysiological processes involved in disease progression as well as to search for new diagnostic or prognostic biomarkers of various organism's disorders. In this review, we discussed the research strategies and analytical platforms commonly applied in the metabolomics studies. The applications of the metabolomics in laboratory diagnostics in the last 5 years were also reviewed according to the type of biological sample used in the metabolome's analysis. We also discussed some limitations and further improvements which should be considered taking in mind potential applications of metabolomic research and practice.
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Affiliation(s)
- Renata Bujak
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, ul. Gen J. Hallera 107, Gdańsk 80-416, Poland
| | - Wiktoria Struck-Lewicka
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, ul. Gen J. Hallera 107, Gdańsk 80-416, Poland
| | - Michał J Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, ul. Gen J. Hallera 107, Gdańsk 80-416, Poland.
| | - Roman Kaliszan
- Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, ul. Gen J. Hallera 107, Gdańsk 80-416, Poland.
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Villaseñor A, Ramamoorthy A, Silva dos Santos M, Lorenzo MP, Laje G, Zarate C, Barbas C, Wainer IW. A pilot study of plasma metabolomic patterns from patients treated with ketamine for bipolar depression: evidence for a response-related difference in mitochondrial networks. Br J Pharmacol 2014; 171:2230-42. [PMID: 24684390 DOI: 10.1111/bph.12494] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2013] [Revised: 10/14/2013] [Accepted: 10/28/2013] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND AND PURPOSE (R,S)-ketamine produces rapid and significant antidepressant effects in approximately 65% of patients suffering from treatment-resistant bipolar depression (BD). The genetic, pharmacological and biochemical differences between ketamine responders and non-responders have not been identified. The purpose of this study was to employ a metabolomics approach, a global, non-targeted determination of endogenous metabolic patterns, to identify potential markers of ketamine response and non-response. EXPERIMENTAL APPROACH Plasma samples from 22 BD patients were analyzed to produce metabolomic patterns. The patients had received ketamine in a placebo-controlled crossover study and the samples were obtained 230 min post-administration at which time the patients were categorized as responders or non-responders. Matching plasma samples from the placebo arm of the study were also analysed. During the study, the patients were maintained on either lithium or valproate. KEY RESULTS The metabolomic patterns were significantly different between the patients maintained on lithium and those maintained on valproate, irrespective of response to ketamine. In the patients maintained on lithium, 18 biomarkers were identified. In responders, lysophosphatidylethanolamines (4) and lysophosphatidylcholines (9) were increased relative to non-responders. CONCLUSIONS AND IMPLICATIONS The results indicate that the differences between patients who respond to ketamine and those who do not are due to alterations in the mitochondrial β-oxidation of fatty acids. These differences were not produced by ketamine administration. The data indicate that pretreatment metabolomics screening may be a guide to the prediction of response and a potential approach to the individualization of ketamine therapy.
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Affiliation(s)
- A Villaseñor
- Center for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain
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Naz S, Vallejo M, García A, Barbas C. Method validation strategies involved in non-targeted metabolomics. J Chromatogr A 2014; 1353:99-105. [DOI: 10.1016/j.chroma.2014.04.071] [Citation(s) in RCA: 176] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2013] [Revised: 04/17/2014] [Accepted: 04/18/2014] [Indexed: 10/25/2022]
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41
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Novel biomarkers of abdominal aortic aneurysm disease: identifying gaps and dispelling misperceptions. BIOMED RESEARCH INTERNATIONAL 2014; 2014:925840. [PMID: 24967416 PMCID: PMC4055358 DOI: 10.1155/2014/925840] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/06/2014] [Revised: 04/29/2014] [Accepted: 05/04/2014] [Indexed: 11/17/2022]
Abstract
Abdominal aortic aneurysm (AAA) is a prevalent and potentially life-threatening disease. Early detection by screening programs and subsequent surveillance has been shown to be effective at reducing the risk of mortality due to aneurysm rupture. The aim of this review is to summarize the developments in the literature concerning the latest biomarkers (from 2008 to date) and their potential screening and therapeutic values. Our search included human studies in English and found numerous novel biomarkers under research, which were categorized in 6 groups. Most of these studies are either experimental or hampered by their low numbers of patients. We concluded that currently no specific laboratory markers allow screeing for the disease and monitoring its progression or the results of treatment. Further studies and studies in larger patient groups are required in order to validate biomarkers as cost-effective tools in the AAA disease.
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Bujak R, García-Álvarez A, Rupérez FJ, Nuño-Ayala M, García A, Ruiz-Cabello J, Fuster V, Ibáñez B, Barbas C. Metabolomics reveals metabolite changes in acute pulmonary embolism. J Proteome Res 2014; 13:805-16. [PMID: 24367941 DOI: 10.1021/pr400872j] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Pulmonary embolism (PE) is a common cardiovascular emergency which can lead to pulmonary hypertension (PH) and right ventricular failure as a consequence of pulmonary arterial bed occlusion. The diagnosis of PE is challenging due to nonspecific clinical presentation, which results in relatively high mortality. Moreover, the pathological factors associated with PE are poorly understood. Metabolomics can provide new highlights which can help in the understanding of the processes and even propose biomarkers for its diagnosis. In order to obtain more information about PE and PH, acute PE was induced in large white pigs and plasma was obtained before and after induction of PE. Metabolic fingerprints from plasma were obtained with LC-QTOF-MS (positive and negative ionization) and GC-Q-MS. Data pretreatment and statistical analysis (uni- and multivariate) were performed in order to compare metabolic fingerprints and to select the metabolites that showed higher loading for the classification (28 from LC and 19 from GC). The metabolites found differentially distributed among groups are mainly related to energy imbalance in hypoxic conditions, such as glycolysis-derived metabolites, ketone bodies, and TCA cycle intermediates, as well as a group of lipidic mediators that could be involved in the transduction of the signals to the cells such as sphingolipids and lysophospholipids, among others. Results presented in this report reveal that combination of LC-MS- and GC-MS-based metabolomics could be a powerful tool for diagnosis and understanding pathophysiological processes due to acute PE.
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Affiliation(s)
- Renata Bujak
- Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo , Campus Monteprincipe, Boadilla del Monte 28668, Madrid, Spain
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43
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Moxon JV, Liu D, Wong G, Weir JM, Behl-Gilhotra R, Bradshaw B, Kingwell BA, Meikle PJ, Golledge J. Comparison of the serum lipidome in patients with abdominal aortic aneurysm and peripheral artery disease. ACTA ACUST UNITED AC 2014; 7:71-9. [PMID: 24448739 DOI: 10.1161/circgenetics.113.000343] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Currently, the relationship between circulating lipids and abdominal aortic aneurysm (AAA) is unclear. We conducted a lipidomic analysis to identify serum lipids associated with AAA presence. Secondary analyses assessed the ability of models incorporating lipidomic features to improve stratification of patient groups with and without AAA beyond traditional risk factors. METHODS AND RESULTS Serum lipids were profiled via liquid chromatography tandem mass spectrometry analysis of serum from 161 patients with AAA and 168 controls with peripheral artery disease. Binary logistic regression was used to identify AAA-associated lipids. Classification models were created based on a combination of (1) traditional risk factors only or (2) lipidomic features and traditional risk factors. Model performance was assessed using receiver operator characteristic curves. Three diacylglycerols and 7 triacylglycerols were associated with AAA. Combining lipidomic features with traditional risk factors significantly improved stratification of AAA and peripheral artery disease groups when compared with traditional risk factors alone (mean area under the receiver operator characteristic curve [95% confidence interval], 0.760 [0.756-0.763] and 0.719 [0.716-0.723], respectively; P<0.05). CONCLUSIONS A group of linoleic acid containing triacylglycerols and diacylglycerols were significantly associated with AAA presence. Inclusion of lipidomic features in multivariate analyses significantly improved prediction of AAA presence when compared with traditional risk factors alone.
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Affiliation(s)
- Joseph V Moxon
- The Vascular Biology Unit, Queensland Research Centre for Peripheral Vascular Disease, James Cook University, Townsville, Queensland, Australia
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Metabolic study of grapevine leaves infected by downy mildew using negative ion electrospray – Fourier transform ion cyclotron resonance mass spectrometry. Anal Chim Acta 2013; 795:44-51. [DOI: 10.1016/j.aca.2013.07.068] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 07/30/2013] [Accepted: 07/31/2013] [Indexed: 12/30/2022]
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Ferrarini A, Rupérez FJ, Erazo M, Martínez MP, Villar-Álvarez F, Peces-Barba G, González-Mangado N, Troncoso MF, Ruiz-Cabello J, Barbas C. Fingerprinting-based metabolomic approach with LC-MS to sleep apnea and hypopnea syndrome: a pilot study. Electrophoresis 2013; 34:2873-81. [PMID: 23775633 DOI: 10.1002/elps.201300081] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 04/19/2013] [Accepted: 05/04/2013] [Indexed: 11/05/2022]
Abstract
Sleep apnea and hypopnea syndrome (SAHS) is a multicomponent disorder, with associated cardiovascular and metabolic alterations, second in order of frequency among respiratory disorders. Sleep apnea is diagnosed with an overnight sleep test called a polysomnogram, which requires having the patient in hospital. In addition, a more clear classification of patients according to mild and severe presentations would be desirable. The aim of the present study was to assess the relative metabolic changes in SAHS to identify new potential biomarkers for diagnosis, able to evaluate disease severity to establish response to therapeutic interventions and outcomes. For this purpose, metabolic fingerprinting represents a valuable strategy to monitor, in a nontargeted manner, the changes that are at the base of the pathophysiological mechanism of SAHS. Plasma samples of 33 SAHS patients were collected after polysomnography and analyzed with LC coupled to MS (LC-QTOF-MS). After data treatment and statistical analysis, signals differentiating nonsevere and severe patients were detected. Putative identification of 14 statistically significant features was obtained and changes that can be related to the episodes of hypoxia/reoxygenation (inflammation) have been highlighted. Among them, the patterns of variation of platelet activating factor and lysophospholipids, together with some compounds related to differential activity of the gut microflora (bile pigments and pipecolic acid) open new lines of research that will benefit our understanding of the alterations, offering new possibilities for adequate monitoring of the stage of the disease.
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Affiliation(s)
- Alessia Ferrarini
- Center for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Madrid, Spain
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Godzien J, Ciborowski M, Angulo S, Barbas C. From numbers to a biological sense: How the strategy chosen for metabolomics data treatment may affect final results. A practical example based on urine fingerprints obtained by LC-MS. Electrophoresis 2013; 34:2812-26. [PMID: 23775708 DOI: 10.1002/elps.201300053] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Revised: 04/08/2013] [Accepted: 05/08/2013] [Indexed: 01/05/2023]
Abstract
Application of high-throughput technologies in metabolomics studies increases the quantity of data obtained, which in turn imposes several problems during data analysis. Correctly and clearly addressed biological question and comprehensive knowledge about data structure and properties are definitely necessary to select proper chemometric tools. However, there is a broad range of chemometric tools available for use with metabolomics data, which makes this choice challenging. Precisely performed data treatment enables valuable extraction of information and its proper interpretation. The effect of an error made at an early stage will be enhanced throughout the later stages, which in combination with other errors made at each step can accumulate and significantly affect the data interpretation. Moreover, adequate application of these tools may help not only to detect, but sometimes also to correct, biological, analytical, or methodological errors, which may affect truthfulness of obtained results. This report presents steps and tools used for LC-MS based metabolomics data extraction, reduction, and visualization. Following such steps as data reprocessing, data pretreatment, data treatment, and data revision, authors want to show how to extract valuable information and how to avoid misinterpretation of results obtained. The purpose of this work was to emphasize problematic characteristics of metabolomics data and the necessity for their attentive and precise treatment. The dataset used to illustrate metabolomics data properties and to illustrate major data treatment challenges was obtained utilizing an animal model of control and diabetic rats, both with and without rosemary treatment. Urine samples were fingerprinted employing LC-QTOF-MS.
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Affiliation(s)
- Joanna Godzien
- CEMBIO (Center for Metabolomics and Bioanalysis) Facultad de Farmacia, Universidad San Pablo CEU, Campus Monteprincipe, Madrid, Spain; Department of Molecular Biology, Faculty of Biotechnology and Environment Sciences, The John Paul II Catholic University of Lublin, Lublin, Poland
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Metabolomics in plants and humans: applications in the prevention and diagnosis of diseases. BIOMED RESEARCH INTERNATIONAL 2013; 2013:792527. [PMID: 23986911 PMCID: PMC3748395 DOI: 10.1155/2013/792527] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Accepted: 07/07/2013] [Indexed: 11/23/2022]
Abstract
In the recent years, there has been an increase in the number of metabolomic approaches used, in parallel with proteomic and functional genomic studies. The wide variety of chemical types of metabolites available has also accelerated the use of different techniques in the investigation of the metabolome. At present, metabolomics is applied to investigate several human diseases, to improve their diagnosis and prevention, and to design better therapeutic strategies. In addition, metabolomic studies are also being carried out in areas such as toxicology and pharmacology, crop breeding, and plant biotechnology. In this review, we emphasize the use and application of metabolomics in human diseases and plant research to improve human health.
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48
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Piszcz J, Lemancewicz D, Dudzik D, Ciborowski M. Differences and similarities between LC-MS derived serum fingerprints of patients with B-cell malignancies. Electrophoresis 2013. [DOI: 10.1002/elps.201200606] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Jaroslaw Piszcz
- Department of Haematology; Medical University of Bialystok; Bialystok; Poland
| | | | | | - Michal Ciborowski
- Department of Physical Chemistry; Medical University of Bialystok; Bialystok; Poland
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Kuivaniemi H, Sakalihasan N, Lederle FA, Jones GT, Defraigne JO, Labropoulos N, Legrand V, Michel JB, Nienaber C, Radermecker MA, Elefteriades JA. New Insights Into Aortic Diseases: A Report From the Third International Meeting on Aortic Diseases (IMAD3). AORTA (STAMFORD, CONN.) 2013; 1:23-39. [PMID: 26798669 PMCID: PMC4682695 DOI: 10.12945/j.aorta.2013.13.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Accepted: 03/08/2013] [Indexed: 12/11/2022]
Abstract
The current state of research and treatment on aortic diseases was discussed in the "3rd International Meeting on Aortic Diseases" (IMAD3) held on October 4-6, 2012, in Liège, Belgium. The 3-day meeting covered a wide range of topics related to thoracic aortic aneurysms and dissections, abdominal aortic aneurysms, and valvular diseases. It brought together clinicians and basic scientists and provided an excellent opportunity to discuss future collaborative research projects for genetic, genomics, and biomarker studies, as well as clinical trials. Although great progress has been made in the past few years, there are still a large number of unsolved questions about aortic diseases. Obtaining answers to the key questions will require innovative, interdisciplinary approaches that integrate information from epidemiological, genetic, molecular biology, and bioengineering studies on humans and animal models. It is more evident than ever that multicenter collaborations are needed to accomplish these goals.
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Affiliation(s)
- Helena Kuivaniemi
- Sigfried and Janet Weis Center for Research, Geisinger Clinic, Danville, Pennsylvania
| | | | - Frank A. Lederle
- Minneapolis Center for Epidemiological and Clinical Research, Department of Medicine (III-0), VA Medical Center, Minneapolis, Minnesota
| | | | | | - Nicos Labropoulos
- Department of Surgery, Stony Brook University Medical Center, Stony Brook, New York
| | - Victor Legrand
- Cardiology Departments, University Hospital of Liège, CHU, Liège, Belgium
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Method development and validation for rat serum fingerprinting with CE-MS: application to ventilator-induced-lung-injury study. Anal Bioanal Chem 2013; 405:4849-58. [PMID: 23535741 DOI: 10.1007/s00216-013-6882-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2012] [Revised: 02/13/2013] [Accepted: 02/27/2013] [Indexed: 02/06/2023]
Abstract
In the search for a noninvasive and reliable rapid screening method to detect biomarkers, a metabolomics fingerprinting approach was developed and applied to rat serum samples using capillary electrophoresis coupled to an electrospray ionization-time of flight-mass spectrometer (CE-TOF-MS). An ultrafiltration method was used for sample pretreatment. To evaluate performance the method was validated with carnitine, choline, ornithine, alanine, acetylcarnitine, betaine, and citrulline, covering the entire electropherogram of pool of rat serum. The linearity for all metabolites was >0.99, with good recovery and precision. Approximately 34 compounds were also confirmed in the pool of rat serum. The method was successfully applied to real serum samples from rats with ventilator-induced lung injury, an experimental rat model for acute lung injury (ALI), giving a total of 1163 molecular features. By use of univariate and multivariate statistics 18 significant compounds were found, of which five were confirmed. The involvement of arginase and nitric oxide synthase has been proved for other lung diseases, meaning the increase of asymmetric dimethyl arginine (ADMA) and ornithine and the decrease of arginine found were in accordance with published literature. Ultimately this fingerprinting approach offers the possibility of identifying biomarkers that could be regularly screened for as part of routine disease control. In this way it might be possible to prevent the development of ALI in patients in critical care units.
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