18 pages, 2106 KiB  
Article
Plasma Metabolomic and Lipidomic Profiling of Metabolic Dysfunction-Associated Fatty Liver Disease in Humans Using an Untargeted Multiplatform Approach
by Xiangping Lin 1,2,*, Xinyu Liu 2, Mohamed N. Triba 1, Nadia Bouchemal 1, Zhicheng Liu 3, Douglas I. Walker 4, Tony Palama 1, Laurence Le Moyec 5,6, Marianne Ziol 7, Nada Helmy 8, Corinne Vons 8, Guowang Xu 2,*,†, Carina Prip-Buus 9,† and Philippe Savarin 1,*,†
1 Sorbonne Paris Nord University, Chemistry Structures Properties of Biomaterials and Therapeutic Agents Laboratory (CSPBAT), Nanomédecine Biomarqueurs Détection Team (NBD), The National Center for Scientific Research (CNRS), UMR 7244, 74 Rue Marcel Cachin, CEDEX, 93017 Bobigny, France
2 CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
3 School of Pharmacy, Anhui Medical University, Hefei 230032, China
4 Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
5 Université d’Evry Val d’Essonne—Université Paris-Saclay, 91000 Evry, France
6 Muséum National d’Histoire Naturelle, Unité MCAM, UMR 7245, CNRS, 75005 Paris, France
7 Department of Pathology, University Hospital Jean Verdier, Assistance Publique-Hôpitaux de Paris, 93140 Paris, France
8 Department of Digestive and Metabolic Surgery, Jean Verdier Hospital, Paris XIII University—University Hospitals of Paris Seine Saint-Denis, 93140 Paris, France
9 Université Paris Cité, CNRS, INSERM, Institut Cochin, 75014 Paris, France
These authors contributed equally to this work.
Metabolites 2022, 12(11), 1081; https://doi.org/10.3390/metabo12111081 - 8 Nov 2022
Cited by 5 | Viewed by 4656
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex disorder that is implicated in dysregulations in multiple biological pathways, orchestrated by interactions between genetic predisposition, metabolic syndromes and environmental factors. The limited knowledge of its pathogenesis is one of the bottlenecks in the [...] Read more.
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex disorder that is implicated in dysregulations in multiple biological pathways, orchestrated by interactions between genetic predisposition, metabolic syndromes and environmental factors. The limited knowledge of its pathogenesis is one of the bottlenecks in the development of prognostic and therapeutic options for MAFLD. Moreover, the extent to which metabolic pathways are altered due to ongoing hepatic steatosis, inflammation and fibrosis and subsequent liver damage remains unclear. To uncover potential MAFLD pathogenesis in humans, we employed an untargeted nuclear magnetic resonance (NMR) spectroscopy- and high-resolution mass spectrometry (HRMS)-based multiplatform approach combined with a computational multiblock omics framework to characterize the plasma metabolomes and lipidomes of obese patients without (n = 19) or with liver biopsy confirmed MAFLD (n = 63). Metabolite features associated with MAFLD were identified using a metabolome-wide association study pipeline that tested for the relationships between feature responses and MAFLD. A metabolic pathway enrichment analysis revealed 16 pathways associated with MAFLD and highlighted pathway changes, including amino acid metabolism, bile acid metabolism, carnitine shuttle, fatty acid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism and steroid metabolism. These results suggested that there were alterations in energy metabolism, specifically amino acid and lipid metabolism, and pointed to the pathways being implicated in alerted liver function, mitochondrial dysfunctions and immune system disorders, which have previously been linked to MAFLD in human and animal studies. Together, this study revealed specific metabolic alterations associated with MAFLD and supported the idea that MAFLD is fundamentally a metabolism-related disorder, thereby providing new perspectives for diagnostic and therapeutic strategies. Full article
(This article belongs to the Special Issue Biofluid-Based Metabolomics for Biomarker Discovery)
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24 pages, 3287 KiB  
Article
Multi-Omics Investigation into Acute Myocardial Infarction: An Integrative Method Revealing Interconnections amongst the Metabolome, Lipidome, Glycome, and Metallome
by Si Ying Lim 1,2, Felicia Li Shea Lim 2, Inmaculada Criado-Navarro 2, Xin Hao Yeo 2, Hiranya Dayal 2, Sri Dhruti Vemulapalli 2, Song Jie Seah 2, Anna Karen Carrasco Laserna 2,3, Xiaoxun Yang 4, Sock Hwee Tan 4, Mark Y. Chan 4 and Sam Fong Yau Li 1,2,*
1 NUS Graduate School’s Integrative Sciences & Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
2 Department of Chemistry, National University of Singapore, Singapore 117543, Singapore
3 Central Instrumentation Facility (Laguna Campus), Office of the Vice President for Research and Innovation, De La Salle University, Manila 1004, Philippines
4 Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
Metabolites 2022, 12(11), 1080; https://doi.org/10.3390/metabo12111080 - 8 Nov 2022
Cited by 9 | Viewed by 3356
Abstract
Acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. This work aims to investigate the translational potential of a multi-omics study (comprising metabolomics, lipidomics, glycomics, and metallomics) in revealing biomechanistic insights into AMI. Following the N-glycomics and metallomics studies [...] Read more.
Acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. This work aims to investigate the translational potential of a multi-omics study (comprising metabolomics, lipidomics, glycomics, and metallomics) in revealing biomechanistic insights into AMI. Following the N-glycomics and metallomics studies performed by our group previously, untargeted metabolomic and lipidomic profiles were generated and analysed in this work via the use of a simultaneous metabolite/lipid extraction and liquid chromatography–tandem mass spectrometry (LC–MS/MS) analysis workflow. The workflow was applied to blood plasma samples from AMI cases (n = 101) and age-matched healthy controls (n = 66). The annotated metabolomic (number of features, n = 27) and lipidomic (n = 48) profiles, along with the glycomic (n = 37) and metallomic (n = 30) profiles of the same set of AMI and healthy samples were integrated and analysed. The integration method used here works by identifying a linear combination of maximally correlated features across the four omics datasets, via utilising both block-partial least squares-discriminant analysis (block-PLS-DA) based on sparse generalised canonical correlation analysis. Based on the multi-omics mapping of biomolecular interconnections, several postulations were derived. These include the potential roles of glycerophospholipids in N-glycan-modulated immunoregulatory effects, as well as the augmentation of the importance of Ca–ATPases in cardiovascular conditions, while also suggesting contributions of phosphatidylethanolamine in their functions. Moreover, it was shown that combining the four omics datasets synergistically enhanced the classifier performance in discriminating between AMI and healthy subjects. Fresh and intriguing insights into AMI, otherwise undetected via single-omics analysis, were revealed in this multi-omics study. Taken together, we provide evidence that a multi-omics strategy may synergistically reinforce and enhance our understanding of diseases. Full article
(This article belongs to the Section Integrative Metabolomics)
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15 pages, 2630 KiB  
Article
Metabolomics Characterization of Scleractinia Corals with Different Life-History Strategies: A Case Study about Pocillopora meandrina and Seriatopora hystrix in the South China Sea
by Jiying Pei 1, Shiguo Chen 1, Kefu Yu 1,2,*, Junjie Hu 1, Yitong Wang 1, Jingjing Zhang 1, Zhenjun Qin 1, Ruijie Zhang 1, Ting-Hao Kuo 3, Hsin-Hsiang Chung 3 and Cheng-Chih Hsu 3
1 Coral Reef Research Center of China, Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, School of Marine Sciences, Guangxi University, Nanning 530000, China
2 Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519080, China
3 Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
Metabolites 2022, 12(11), 1079; https://doi.org/10.3390/metabo12111079 - 8 Nov 2022
Cited by 6 | Viewed by 2627
Abstract
Life-history strategies play a critical role in susceptibility to environmental stresses for Scleractinia coral. Metabolomics, which is capable of determining the metabolic responses of biological systems to genetic and environmental changes, is competent for the characterization of species’ biological traits. In this study, [...] Read more.
Life-history strategies play a critical role in susceptibility to environmental stresses for Scleractinia coral. Metabolomics, which is capable of determining the metabolic responses of biological systems to genetic and environmental changes, is competent for the characterization of species’ biological traits. In this study, two coral species (Pocillopora meandrina and Seriatopora hystrix in the South China Sea) with different life-history strategies (“competitive” and “weedy”) were targeted, and untargeted mass spectrometry metabolomics combined with molecular networking was applied to characterize their differential metabolic pathways. The results show that lyso-platelet activating factors (lyso-PAFs), diacylglyceryl carboxyhydroxymethylcholine (DGCC), aromatic amino acids, and sulfhydryl compounds were more enriched in P. meandrina, whereas new phospholipids, dehydrated phosphoglycerol dihydroceramide (de-PG DHC), monoacylglycerol (MAG), fatty acids (FA) (C < 18), short peptides, and guanidine compounds were more enriched in S. hystrix. The metabolic pathways involved immune response, energy metabolism, cellular membrane structure regulation, oxidative stress system, secondary metabolite synthesis, etc. While the immune system (lysoPAF) and secondary metabolite synthesis (aromatic amino acids and sulfhydryl compounds) facilitates fast growth and resistance to environmental stressors of P. meandrina, the cell membrane structure (structural lipids), energy storage (storage lipids), oxidative stress system (short peptides), and secondary metabolite synthesis (guanidine compounds) are beneficial to the survival of S. hystrix in harsh conditions. This study contributes to the understanding of the potential molecular traits underlying life-history strategies of different coral species. Full article
(This article belongs to the Section Animal Metabolism)
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14 pages, 2632 KiB  
Article
Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds
by Weixiao Liu, Lixia Meng, Weiling Zhao, Zhanchao Wang, Chaohua Miao, Yusong Wan and Wujun Jin *
Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
Metabolites 2022, 12(11), 1078; https://doi.org/10.3390/metabo12111078 - 7 Nov 2022
Cited by 2 | Viewed by 2034
Abstract
Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed [...] Read more.
Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed proteins (DEPs) were screened out in BBL, BFL-1, and BFL-2, respectively, and their abundance compared was with that in their non-GM parents. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most of the DEPs participate in biosynthesis of secondary metabolites, biosynthesis of amino acids, and metabolic pathways. Metabolomic analyses revealed 145, 178, and 88 differentially accumulated metabolites (DAMs) in the BBL/ZH58, BFL-1/ZH58, and BFL-2/ZH58×CH72 comparisons, respectively. KEGG pathway enrichment analysis showed that most of the DAMs are involved in biosynthesis of amino acids, and in arginine and proline metabolism. Three co-DEPs and 11 co-DAMs were identified in the seeds of these GM maize lines. The proteomic profiling of seeds showed that the GM maize varieties were not dramatically different from their non-GM control. Similarly, the metabolomic profiling of seeds showed no dramatic changes in the GM/non-GM maize varieties compared with the GM/GM and non-GM/non-GM maize varieties. The genetic background of the transgenic maize was found to have some influence on its proteomic and metabolomic profiles. Full article
(This article belongs to the Special Issue Bioactive Metabolites from Natural Sources)
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16 pages, 2994 KiB  
Article
Metabolomic Study of a Rat Model of Retinal Detachment
by Xiangjun She 1,†, Yifan Zhou 2,†, Zhi Liang 1, Jin Wei 3, Bintao Xie 1,4, Yun Zhang 1 and Lijun Shen 1,4,5,*
1 School of Ophthalmology, Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, China
2 Department of Ophthalmology, Putuo Poeple’s Hospital, Tongji University, Shanghai 200070, China
3 Department of Ophthalmology, Shanghai General Hospital, National Clinical Research Center for Eye Diseases, Shanghai 200080, China
4 State Key Laboratory of Optometry, Ophthalmology, and Vision Science, Wenzhou 325027, China
5 Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital of Hangzhou Medical College, Shangtang Road 158#, Gongshu District, Hangzhou 310014, China
These authors contributed equally to this work.
Metabolites 2022, 12(11), 1077; https://doi.org/10.3390/metabo12111077 - 7 Nov 2022
Cited by 5 | Viewed by 2410
Abstract
Retinal detachment is a serious ocular disease leading to photoreceptor degeneration and vision loss. However, the mechanism of photoreceptor degeneration remains unclear. The aim of this study was to investigate the altered metabolism pathway and physiological changes after retinal detachment. Eight-week-old male SD [...] Read more.
Retinal detachment is a serious ocular disease leading to photoreceptor degeneration and vision loss. However, the mechanism of photoreceptor degeneration remains unclear. The aim of this study was to investigate the altered metabolism pathway and physiological changes after retinal detachment. Eight-week-old male SD rats were fed, and the model of retinal detachment was established by injecting hyaluronic acid into the retinal space. The rats were euthanized 3 days after RD, and the retinal tissues were sectioned for analysis. Untargeted lipid chromatography-mass spectrometry lipidomic was performed to analyze the metabolite changes. A total of 90 significant metabolites (34 in anionic and 56 in cationic models) were detected after retinal detachment. The main pathways were (1) histidine metabolism; (2) phenylalanine, tyrosine, and tryptophan biosynthesis; and (3) glycine, serine, and threonine metabolism. The key genes corresponding to each metabolic pathway were verified from the Gene Expression Omnibus (GEO) database of human retinal samples. The results indicated that the production of histamine by histidine decarboxylase from histidine reduced after RD (p < 0.05). Xanthine, hypoxanthine, guanine, and guanosine decreased after RD (p < 0.05). Decreased xanthine and hypoxanthine may reduce the antioxidant ability. The decreased guanosine could not provide enough sources for inosine monophosphate production. Tyrosine is an important neurotransmitter and was significantly reduced after RD (p < 0.05). Citrate was significantly reduced with the increase of ATP-citrate lyase enzyme (ACLY) (p < 0.05). We inferred that lipid oxidation might increase rather than lipid biogenesis. Thus, this study highlighted the main changes of metabolite and physiological process after RD. The results may provide important information for photoreceptor degeneration. Full article
(This article belongs to the Special Issue Metabolic Studies in Ophthalmology and Visual Science)
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20 pages, 5358 KiB  
Article
Revealing the Pathogenesis of Salt-Sensitive Hypertension in Dahl Salt-Sensitive Rats through Integrated Multi-Omics Analysis
by Ya-nan Ou-Yang 1, Meng-di Yuan 1, Zheng-mao Yang 2, Zhuo Min 3, Yue-xin Jin 1 and Zhong-min Tian 1,*
1 The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
2 Puripharm Co., Ltd., Huzhou 313000, China
3 Department of Brewing Engineering, Moutai University, Renhuai 564500, China
Metabolites 2022, 12(11), 1076; https://doi.org/10.3390/metabo12111076 - 7 Nov 2022
Cited by 11 | Viewed by 2981
Abstract
Salt-induced renal metabolism dysfunction is an important mechanism of salt-sensitive hypertension. Given that the gut-liver axis is the first hit of a high-salt diet (HSD), we aimed to identify the extra-renal mechanism from hepatic metabolism and gut microbiota, and attempted to relieve the [...] Read more.
Salt-induced renal metabolism dysfunction is an important mechanism of salt-sensitive hypertension. Given that the gut-liver axis is the first hit of a high-salt diet (HSD), we aimed to identify the extra-renal mechanism from hepatic metabolism and gut microbiota, and attempted to relieve the salt-induced metabolic dysfunctions by curcumin. Untargeted metabolomics analysis was performed to identify the changes in hepatic metabolic pathways, and integrated analysis was employed to reveal the relationship between hepatic metabolic dysfunction and gut microbial composition. HSD induced significant increase in fumaric acid, l-lactic acid, creatinine, l-alanine, glycine, and l-cysteine levels, and amino acids metabolism pathways associated with glycolysis were significantly altered, including alanine, aspartate, and glutamate metabolism; glycine, serine, and threonine metabolism, which were involved in the regulation of blood pressure. Integrated multi-omics analysis revealed that changes in Paraprevotella, Erysipelotrichaceae, and genera from Clostridiales are associated with metabolic disorders. Gene functional predication analysis based on 16S Ribosomal RNA sequences showed that the dysfunction in hepatic metabolism were correlated with enhanced lipopolysaccharide (LPS) biosynthesis and apoptosis in gut microbes. Curcumin (50 mg/kg/d) might reduce gut microbes-associated LPS biosynthesis and apoptosis, partially reverse metabolic dysfunction, ameliorate renal oxidative stress, and protect against salt-sensitive hypertension. Full article
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16 pages, 2442 KiB  
Article
Quantitative Analyses and Validation of Phospholipids and Sphingolipids in Ischemic Rat Brains
by Chiung-Yin Huang 1,2, Ping-Ju Tsai 3,4, Hsuan-Wen Wu 3, I-Ting Chen 3 and Hay-Yan J. Wang 3,*
1 Neuroscience Research Center, Chang Gung Memorial Hospital, Taoyuan 333012, Taiwan
2 Department of Neurosurgery, New Taipei Municipal TuCheng Hospital, New Taipei City 236027, Taiwan
3 Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung 804201, Taiwan
4 Department of Surgery, Yuan’s General Hospital, Kaohsiung 802635, Taiwan
Metabolites 2022, 12(11), 1075; https://doi.org/10.3390/metabo12111075 - 6 Nov 2022
Cited by 5 | Viewed by 2107
Abstract
Prior MALDI mass spectrometry imaging (MALDI-MSI) studies reported significant changes in phosphatidylcholines (PCs), lysophosphatidylcholines (LPCs), and sphingomyelins (SMs) in ischemic rat brains yet overlooked the information on other classes of PLs and SLs and provided very little or no validation on the detected [...] Read more.
Prior MALDI mass spectrometry imaging (MALDI-MSI) studies reported significant changes in phosphatidylcholines (PCs), lysophosphatidylcholines (LPCs), and sphingomyelins (SMs) in ischemic rat brains yet overlooked the information on other classes of PLs and SLs and provided very little or no validation on the detected lipid markers. Relative quantitation of four classes of PLs and two classes of SLs in the ischemic and normal temporal cortex (TCX), parietal cortex (PCX), and striatum (ST) of rats was performed with hydrophilic interaction chromatography (HILIC)–tandem mass spectrometry (MS/MS) analyses, and the marker lipid species was identified by multivariate data analysis and validated with additional tissue cohorts. The acquired lipid information was sufficient in differentiating individual anatomical regions under different pathological states, identifying region-specific ischemic brain lipid markers and revealing additional PL and SL markers not reported previously. Validation of orthogonal partial least square discriminating analysis (OPLS-DA) identified ischemic brain lipid markers yielded much higher classification accuracy, precision, specificity, sensitivity, and lower false positive and false negative rates than those from the volcano plot analyses using conventional statistical significance and a fold change of two as the cutoff and provided a wider prospective to ischemia-associated brain lipid changes. Full article
(This article belongs to the Section Lipid Metabolism)
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14 pages, 26764 KiB  
Article
Rapid Profiling of Metabolites Combined with Network Pharmacology to Explore the Potential Mechanism of Sanguisorba officinalis L. against Thrombocytopenia
by Yubei Dai 1,†, Kailian Zhang 1,†, Long Wang 1, Ling Xiong 1, Feihong Huang 1, Qianqian Huang 1, Jianming Wu 1,2,3,4,5,* and Jing Zeng 1,*
1 School of Pharmacy, Southwest Medical University, Luzhou 646000, China
2 School of Basic Medical Science, Southwest Medical University, Luzhou 646000, China
3 Education Ministry Key Laboratory of Medical Electrophysiology, Southwest Medical University, Luzhou 646000, China
4 Key Medical Laboratory of New Drug Discovery and Druggability Evaluation, Southwest Medical University, Luzhou 646000, China
5 Key Laboratory of Activity Screening and Druggability Evaluation for Chinese Materia Medica, Southwest Medical University, Luzhou 646000, China
These authors contributed equally to this work.
Metabolites 2022, 12(11), 1074; https://doi.org/10.3390/metabo12111074 - 5 Nov 2022
Cited by 2 | Viewed by 2109
Abstract
Sanguisorba officinalis L. (SO), a well-known herbal medicine, has been proven to show effect against thrombocytopenia. However, metabolites of SO in vivo are still unclear, and the underlying mechanism of SO against thrombocytopenia from the aspect of metabolites have not been [...] Read more.
Sanguisorba officinalis L. (SO), a well-known herbal medicine, has been proven to show effect against thrombocytopenia. However, metabolites of SO in vivo are still unclear, and the underlying mechanism of SO against thrombocytopenia from the aspect of metabolites have not been well elucidated. In this study, an improved analytical method combined with UHPLC-QTOF MS and a molecular network was developed for the rapid characterization of metabolites in vivo based on fragmentation patterns. Then, network pharmacology (NP) was used to elucidate the potential mechanism of SO against thrombocytopenia. As a result, a total of 1678 exogenous metabolites were detected in urine, feces, plasma, and bone marrow, in which 104 metabolites were tentatively characterized. These characterized metabolites that originated from plasma, urine, and feces were then imported to the NP analysis. The results showed that the metabolites from plasma, urine, and feces could be responsible for the pharmacological activity against thrombocytopenia by regulating the PI3K-Akt, MAPK, JAK-STAT, VEGF, chemokine, actin cytoskeleton, HIF-1, and pluripotency of stem cells. This study provides a rapid method for metabolite characterization and a new perspective of underlying mechanism study from the aspect of active metabolites in vivo. Full article
(This article belongs to the Special Issue Application of Mass Spectrometry Analysis in Metabolomics)
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12 pages, 603 KiB  
Review
Nonalcoholic Fatty Liver Disease—A Concise Review of Noninvasive Tests and Biomarkers
by Tamara Bassal 1, Maamoun Basheer 1, Mariana Boulos 1 and Nimer Assy 1,2,*
1 Internal Medicine Department, Galilee Medical Center, Nahariya 2210001, Israel
2 Azrieli Faculty of Medicine in the Galilee, Bar-Ilan University, Safed 1311502, Israel
Metabolites 2022, 12(11), 1073; https://doi.org/10.3390/metabo12111073 - 5 Nov 2022
Cited by 13 | Viewed by 3120
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, with a continuously growing prevalence. The pathophysiology of the disease is complex and includes several mechanisms, with metabolic syndrome and insulin resistance playing a major role. It is crucial to diagnose [...] Read more.
Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease worldwide, with a continuously growing prevalence. The pathophysiology of the disease is complex and includes several mechanisms, with metabolic syndrome and insulin resistance playing a major role. It is crucial to diagnose NAFLD before it advances to nonalcoholic steatohepatitis (NASH), which can progress to cirrhosis, presented by its complications which include ascites, portal hypertension, bleeding varices and encephalopathy. Another important complication of NAFLD and cirrhosis is hepatocellular carcinoma (HCC), a cancer with increasing incidence and poor prognosis. Even with the growing prevalence of NAFLD, diagnosis via liver biopsies is unrealistic, considering the costs and complications. Noninvasive tests, including serum biomarkers and elastography, are cost-effective and convenient, thereby replacing liver biopsies in diagnosing and excluding liver fibrosis. However, currently, these noninvasive tests have several limitations, such as variability, inadequate accuracy and risk factors for error. The limitations and variability of these tests comet the investigator to propose combining them in diagnostic algorithms to produce more accurate tools. Identifying patients with significant fibrosis is important for targeted therapies to prevent disease progression. Effective screening using noninvasive tests can be crucial for patient risk stratification and early diagnosis. Full article
(This article belongs to the Section Endocrinology and Clinical Metabolic Research)
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13 pages, 1609 KiB  
Article
Mapping of Urinary Volatile Organic Compounds by a Rapid Analytical Method Using Gas Chromatography Coupled to Ion Mobility Spectrometry (GC–IMS)
by Giulia Riccio 1,2, Silvia Baroni 1,2, Andrea Urbani 1,2 and Viviana Greco 1,2,*
1 Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
2 Department of Diagnostic and Laboratory Medicine, Unity of Chemistry, Biochemistry and Clinical Molecular Biology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
Metabolites 2022, 12(11), 1072; https://doi.org/10.3390/metabo12111072 - 5 Nov 2022
Cited by 13 | Viewed by 2589
Abstract
Volatile organic compounds (VOCs) are a differentiated class of molecules, continuously generated in the human body and released as products of metabolic pathways. Their concentrations vary depending on pathophysiological conditions. They are detectable in a wide variety of biological samples, such as exhaled [...] Read more.
Volatile organic compounds (VOCs) are a differentiated class of molecules, continuously generated in the human body and released as products of metabolic pathways. Their concentrations vary depending on pathophysiological conditions. They are detectable in a wide variety of biological samples, such as exhaled breath, faeces, and urine. In particular, urine represents an easily accessible specimen widely used in clinics. The most used techniques for VOCs detections are expensive and time-consuming, thus not allowing for rapid clinical analysis. In this perspective, the aim of this study is a comprehensive characterisation of the urine volatilome by the development of an alternative rapid analytical method. Briefly, 115 urine samples are collected; sample treatment is not needed. VOCs are detected in the urine headspace using gas chromatography coupled to ion mobility spectrometry (GC–IMS) by an extremely fast analysis (10 min). The method is analytically validated; the analysis is sensitive and robust with results comparable to those reported with other techniques. Twenty-three molecules are identified, including ketones, aldehydes, alcohols, and sulphur compounds, whose concentration is altered in several pathological states such as cancer and metabolic disorders. Therefore, it opens new perspectives for fast diagnosis and screening, showing great potential for clinical applications. Full article
(This article belongs to the Special Issue Advances in Metabolic Profiling of Biological Samples)
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13 pages, 1706 KiB  
Article
Effect of Myricetin on Lipid Metabolism in Primary Calf Hepatocytes Challenged with Long-Chain Fatty Acids
by Wei Yang 1,†, Mingmao Yang 1,2,†, Yan Tian 1,†, Qianming Jiang 3, Juan J. Loor 3, Jie Cao 4, Shuang Wang 1, Changhong Gao 1, Wenwen Fan 1, Bingbing Zhang 5 and Chuang Xu 1,4,*
1 College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China
2 Key Laboratory of Animal Biotechnology of the Ministry of Agriculture, College of Veterinary Medicine, Northwest A & F University, Xianyang 712100, China
3 Department of Animal Sciences, Division of Nutritional Sciences, University of Illinois, Urbana, IL 61801, USA
4 College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
5 College of Life Science and Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China
These authors contributed equally to this work.
Metabolites 2022, 12(11), 1071; https://doi.org/10.3390/metabo12111071 - 5 Nov 2022
Cited by 3 | Viewed by 1989
Abstract
Triacylglycerol (TAG) accumulation and oxidative damage in hepatocytes induced by high circulating concentrations of fatty acids (FA) are common after calving. In order to clarify the role of myricetin on lipid metabolism in hepatocytes when FA metabolism increases markedly, we performed in vitro [...] Read more.
Triacylglycerol (TAG) accumulation and oxidative damage in hepatocytes induced by high circulating concentrations of fatty acids (FA) are common after calving. In order to clarify the role of myricetin on lipid metabolism in hepatocytes when FA metabolism increases markedly, we performed in vitro analyses using isolated primary calf hepatocytes from three healthy female calves (1 d old, 42 to 48 kg). Two hours prior to an FA challenge (1.2 mM mix), the hepatocytes were treated with 100 μM (M1), 50 μM (M2), or 25 μM (M3) of myricetin. Subsequently, hepatocytes from each donor were challenged with or without FA for 12 h in an attempt to induce metabolic stress. Data from calf hepatocyte treatment comparisons were assessed using two-way repeated-measures (RM) ANOVA with subsequent Bonferroni correction. The data revealed that hepatocytes challenged with FA had greater concentrations of TAG and nonesterified fatty acids (NEFA), oxidative stress-related MDA and H2O2, and mRNA and protein abundance of lipid synthesis-related SREBF1 and inflammatory-related NF-κB. In addition, the mRNA abundance of the lipid synthesis-related genes FASN, DGAT1, DGAT2, and ACC1; endoplasmic reticulum stress-related GRP79 and PERK; and inflammatory-related TNF-α also were upregulated. In contrast, the activity of antioxidant SOD (p < 0.01) and concentrations of GSH (p < 0.05), and the protein abundance of mitochondrial FA oxidation-related CPT1A, were markedly lower. Compared with FA challenge, 50 and 100 μM myricetin led to lower concentrations of TAG, NEFA, MDA, and H2O2, as well as mRNA and protein abundance of SREBF1, DGAT1, GRP78, and NF-κB. In contrast, the activity of SOD (p < 0.01) and mRNA and protein abundance of CPT1A were markedly greater. Overall, the results suggest that myricetin could enhance the antioxidant capacity and reduce lipotoxicity, endoplasmic reticulum stress, and inflammation. All of these effects can help reduce TAG accumulation in hepatocytes. Full article
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12 pages, 1549 KiB  
Article
Metabolic Dysfunction-Associated Fatty Liver Disease in the National Health and Nutrition Examination Survey 2017–2020: Epidemiology, Clinical Correlates, and the Role of Diagnostic Scores
by Panagiotis Theofilis *, Aikaterini Vordoni and Rigas G. Kalaitzidis
General Hospital of Nikaia-Piraeus Agios Panteleimon, Center for Nephrology “G. Papadakis”, 18454 Piraeus, Greece
Metabolites 2022, 12(11), 1070; https://doi.org/10.3390/metabo12111070 - 5 Nov 2022
Cited by 10 | Viewed by 2487
Abstract
The recent establishment of metabolic dysfunction-associated fatty liver disease (MAFLD) has led to a reevaluation of its epidemiology, diagnosis, and clinical implications. In this study, we aimed to evaluate MAFLD’s epidemiology and its association with other pathologic states and biomarkers, as well as [...] Read more.
The recent establishment of metabolic dysfunction-associated fatty liver disease (MAFLD) has led to a reevaluation of its epidemiology, diagnosis, and clinical implications. In this study, we aimed to evaluate MAFLD’s epidemiology and its association with other pathologic states and biomarkers, as well as to assess the prevalence of the different fibrosis stages in the MAFLD population, together with the importance of diagnostic scores in the preliminary determination of significant fibrosis. After analyzing the National Health and Nutrition Examination Survey (NHANES) 2017–2020, we found a high prevalence of MAFLD, at 58.6% of the studied population. MAFLD was accompanied by numerous comorbidities, which were increasingly common in individuals with higher grades of liver fibrosis. Fatty liver index emerged as a reliable indicator of MAFLD, as well as significant fibrosis. The estimation of fatty liver index could be a reasonable addition to the evaluation of patients with metabolic risk factors and could lead a diagnosis in the absence of liver elastography or biopsy. Further studies are needed to enhance our knowledge regarding its prognosis, as well as the role of novel therapies in its prevention or regression. Full article
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13 pages, 11635 KiB  
Article
Human Milk from Tandem Feeding Dyads Does Not Differ in Metabolite and Metataxonomic Features When Compared to Single Nursling Dyads under Six Months of Age
by Natalie S. Shenker 1, Alvaro Perdones-Montero 2,†, Adam Burke 2, Sarah Stickland 2, Julie A. K. McDonald 3 and Simon J. S. Cameron 4,*
1 Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK
2 Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
3 MRC Centre for Molecular Bacteriology and Infection, Imperial College London, London SW7 2AZ, UK
4 Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UK
Deceased.
Metabolites 2022, 12(11), 1069; https://doi.org/10.3390/metabo12111069 - 4 Nov 2022
Cited by 2 | Viewed by 4256
Abstract
Given the long-term advantages of exclusive breastfeeding to infants and their mothers, there is both an individual and public health benefit to its promotion and support. Data on the composition of human milk over the course of a full period of lactation for [...] Read more.
Given the long-term advantages of exclusive breastfeeding to infants and their mothers, there is both an individual and public health benefit to its promotion and support. Data on the composition of human milk over the course of a full period of lactation for a single nursling is sparse, but data on human milk composition during tandem feeding (feeding children of different ages from different pregnancies) is almost entirely absent. This leaves an important knowledge gap that potentially endangers the ability of parents to make a fully informed choice on infant feeding. We compared the metataxonomic and metabolite fingerprints of human milk samples from 15 tandem feeding dyads to that collected from ten exclusively breastfeeding single nursling dyads where the nursling is under six months of age. Uniquely, our cohort also included three tandem feeding nursling dyads where each child showed a preferential side for feeding—allowing a direct comparison between human milk compositions for different aged nurslings. Across our analysis of volume, total fat, estimation of total microbial load, metabolite fingerprinting, and metataxonomics, we showed no statistically significant differences between tandem feeding and single nursling dyads. This included comparisons of preferential side nurslings of different ages. Together, our findings support the practice of tandem feeding of nurslings, even when feeding an infant under six months. Full article
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12 pages, 2034 KiB  
Article
Changes of Plasma Tris(hydroxymethyl)aminomethane and 5-Guanidino-3-methyl-2-oxopentanoic Acid as Biomarkers of Heart Remodeling after Left Ventricular Assist Device Support
by Mengda Xu 1,2,3,†, Hao Cui 2,3,†, Xiao Chen 2,3, Xiumeng Hua 2,3, Jiangping Song 2,3,* and Shengshou Hu 2,3,*
1 Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
2 State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China
3 State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167A Beilishi Road, Xi Cheng District, Beijing 100037, China
These authors contributed equally to this work.
Metabolites 2022, 12(11), 1068; https://doi.org/10.3390/metabo12111068 - 4 Nov 2022
Cited by 2 | Viewed by 2100
Abstract
Cardiac function is closely related to heart metabolism. Heart failure patients undergoing LVAD support have shown varying degrees of remodeling of both cardiac function and morphology. However, the metabolic changes in patients with different outcomes are unclear. This study aimed to identify metabolic [...] Read more.
Cardiac function is closely related to heart metabolism. Heart failure patients undergoing LVAD support have shown varying degrees of remodeling of both cardiac function and morphology. However, the metabolic changes in patients with different outcomes are unclear. This study aimed to identify metabolic differences and evaluate metabolomics-based biomarkers in patients with non-improved/improved cardiac function after LVAD support. Sixteen patients were enrolled in this study. Plasma samples were analyzed by using untargeted metabolomic approaches. Multivariate statistical analysis and a Mann–Whitney U-test was performed to clarify the separation in metabolites and to identify changes in plasma metabolites between the two groups, respectively. The efficacy of candidate biomarkers was tested by the area under the curve receiver operating characteristic curve. Using the Metabolomics Standards Initiative level 2, a total of 1542 and 619 metabolites were detected in the positive and negative ion modes, respectively. Enrichment analysis showed that metabolites in improved cardiac function patients were mainly involved in carbohydrate metabolism and amino acid metabolism. Metabolites from non-improved cardiac function patients were mainly involved in hormone metabolism. Furthermore, we found tris(hydroxymethyl)aminomethane and 5-guanidino-3-methyl-2-oxopentanoic acid could serve as biomarkers to predict whether a patient’s cardiac function would improve after LVAD support. Full article
(This article belongs to the Topic Metabolism and Health)
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12 pages, 1531 KiB  
Article
Screening and Interventions for Cardiovascular Disease Prevention in the Limpopo Province, South Africa: Use of the Community Action Model
by Peter M. Mphekgwana 1,*, Kotsedi D. Monyeki 2, Tebogo M. Mothiba 3, Mpsanyana Makgahlela 4, Nancy Kgatla 5, Rambelani N. Malema 4 and Tholene Sodi 4
1 Research Administration and Development, University of Limpopo, Polokwane 0700, South Africa
2 Department of Physiology and Environmental Health, University of Limpopo, Polokwane 0700, South Africa
3 Faculty of Health Science, University of Limpopo, Polokwane 0700, South Africa
4 Department of Psychology, University of Limpopo, Polokwane 0700, South Africa
5 Department of Nursing Science, University of Limpopo, Polokwane 0700, South Africa
Metabolites 2022, 12(11), 1067; https://doi.org/10.3390/metabo12111067 - 4 Nov 2022
Cited by 1 | Viewed by 2408
Abstract
The rise in non-communicable diseases (NCDs) has been attributed to economic growth in developing countries, shifts in societal norms, and behaviors such as dietary habits and physical activity. Up to 80% of NCDs could be prevented by eliminating shared risk factors, mainly tobacco [...] Read more.
The rise in non-communicable diseases (NCDs) has been attributed to economic growth in developing countries, shifts in societal norms, and behaviors such as dietary habits and physical activity. Up to 80% of NCDs could be prevented by eliminating shared risk factors, mainly tobacco use, unhealthy diets, physical inactivity, and the harmful use of alcohol. The South African government’s national strategic plan to control NCDs, which includes cardiovascular disease (CVD) prevention, places a strong emphasis on the need to improve the prevention, detection, early intervention, and management of NCDs. In line with the above recommendations, this study aimed to screen rural communities using the non-laboratory INTERHEART Risk Score tool (NLIRS) and develop relevant and suitable intervention strategies for a patient at moderate risk of developing a heart attack. A quantitative research approach applying a household-based design was used to conduct this study and the community action model (CAM). The difference between pre-intervention and post-intervention results were analyzed using a t-test and Analysis of covariance (ANCOVA) with age, smoke, hypertension, and diabetes as the covariates. The study found a significant difference in proportions between pre and post-intervention for raised Systole (SBP), obesity by body mass index (BMI), and waist circumference (WC). In rural communities, using CAM to improve knowledge and behavioral practices of NCD risk factors is feasible and effective. This basket of interventions will assist community members in reducing their risk of developing metabolic syndromes as well as their risk of developing CVDs. Continued investment and research in CVD prevention interventions are required to improve health, reduce costs, and have long-term benefits for conflict-affected individuals and communities. Full article
(This article belongs to the Section Integrative Metabolomics)
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