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Chowdhury RR, Grosso MF, Gadara DC, Spáčil Z, Vidová V, Sovadinová I, Babica P. Cyanotoxin cylindrospermopsin disrupts lipid homeostasis and metabolism in a 3D in vitro model of the human liver. Chem Biol Interact 2024; 397:111046. [PMID: 38735451 DOI: 10.1016/j.cbi.2024.111046] [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: 08/20/2023] [Revised: 04/25/2024] [Accepted: 05/08/2024] [Indexed: 05/14/2024]
Abstract
Cylindrospermopsin, a potent hepatotoxin produced by harmful cyanobacterial blooms, poses environmental and human health concerns. We used a 3D human liver in vitro model based on spheroids of HepG2 cells, in combination with molecular and biochemical assays, automated imaging, targeted LC-MS-based proteomics, and lipidomics, to explore cylindrospermopsin effects on lipid metabolism and the processes implicated in hepatic steatosis. Cylindrospermopsin (1 μM, 48 h) did not significantly affect cell viability but partially reduced albumin secretion. However, it increased neutral lipid accumulation in HepG2 spheroids while decreasing phospholipid levels. Simultaneously, cylindrospermopsin upregulated genes for lipogenesis regulation (SREBF1) and triacylglycerol synthesis (DGAT1/2) and downregulated genes for fatty acid synthesis (ACLY, ACCA, FASN, SCD1). Fatty acid uptake, oxidation, and lipid efflux genes were not significantly affected. Targeted proteomics revealed increased levels of perilipin 2 (adipophilin), a major hepatocyte lipid droplet-associated protein. Lipid profiling quantified 246 lipid species in the spheroids, with 28 significantly enriched and 15 downregulated by cylindrospermopsin. Upregulated species included neutral lipids, sphingolipids (e.g., ceramides and dihexosylceramides), and some glycerophospholipids (phosphatidylethanolamines, phosphatidylserines), while phosphatidylcholines and phosphatidylinositols were mostly reduced. It suggests that cylindrospermopsin exposures might contribute to developing and progressing towards hepatic steatosis or metabolic dysfunction-associated steatotic liver disease (MASLD).
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Affiliation(s)
- Riju Roy Chowdhury
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | - Marina Felipe Grosso
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | | | - Zdeněk Spáčil
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | - Veronika Vidová
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | - Iva Sovadinová
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic
| | - Pavel Babica
- RECETOX, Faculty of Science, Masaryk University, Kotlářská 2, Brno, Czech Republic.
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2
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Lin WJ, Chiang AWT, Zhou EH, Liang C, Liu CH, Ma WL, Cheng WC, Lewis NE. iLipidome: enhancing statistical power and interpretability using hidden biosynthetic interdependencies in the lipidome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.16.594607. [PMID: 38826229 PMCID: PMC11142111 DOI: 10.1101/2024.05.16.594607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Numerous biological processes and diseases are influenced by lipid composition. Advances in lipidomics are elucidating their roles, but analyzing and interpreting lipidomics data at the systems level remain challenging. To address this, we present iLipidome, a method for analyzing lipidomics data in the context of the lipid biosynthetic network, thus accounting for the interdependence of measured lipids. iLipidome enhances statistical power, enables reliable clustering and lipid enrichment analysis, and links lipidomic changes to their genetic origins. We applied iLipidome to investigate mechanisms driving changes in cellular lipidomes following supplementation of docosahexaenoic acid (DHA) and successfully identified the genetic causes of alterations. We further demonstrated how iLipidome can disclose enzyme-substrate specificity and pinpoint prospective glioblastoma therapeutic targets. Finally, iLipidome enabled us to explore underlying mechanisms of cardiovascular disease and could guide the discovery of early lipid biomarkers. Thus, iLipidome can assist researchers studying the essence of lipidomic data and advance the field of lipid biology.
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3
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Si T, Liu D, Li L, Xu Z, Jiang L, Zhai Y, Wu Q. Lipid Identification of Biomarkers in Esophageal Squamous Cell Carcinoma by Lipidomic Analysis. Nutr Cancer 2024; 76:608-618. [PMID: 38753560 DOI: 10.1080/01635581.2024.2350097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/26/2024] [Indexed: 05/18/2024]
Abstract
Lipids participate in many important biological functions through energy storage, membrane structure stabilization, signal transduction, and molecular recognition. Previous studies have shown that patients with esophageal squamous cell carcinoma (ESCC) have abnormal lipid metabolism. However, studies characterizing lipid metabolism in ESCC patients through lipidomics are limited. Plasma lipid profiles of 65 ESCC patients and 42 healthy controls (HC) were characterized by lipidomics-based ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). Single-factor and multi-factor statistical analysis were used to screen the differences in blood lipids between groups, and combined with component ratio analysis and receiver operating characteristic (ROC) curve diagnostic efficiency assessment, to reveal the potential mechanisms and biomarkers of ESCC. There were significant differences in lipid profiles between the ESCC and HC groups. Thirty-six differential lipids (11 up-regulated and 25 down-regulated) were selected based on the criteria of p < .05 and fold change > 1.3 or < 0.77. Glycerophospholipids were the major differential lipids, suggesting that these lipid metabolic pathways exhibit a significant imbalance that may contribute to the development of esophageal squamous cell carcinoma. Among them, the seven candidate biomarkers for esophageal squamous cell carcinoma with the highest diagnostic value are three phosphatidylserine (PS), three fatty acids (FA) and one phosphatidylcholine (PC).
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Affiliation(s)
- Tingwei Si
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Daoqin Liu
- Department of Kidney Medicine, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Lei Li
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Zichen Xu
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Luqing Jiang
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Ying Zhai
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
| | - Qiwen Wu
- Clinical Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, China
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4
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Ghezellou P, von Bülow V, Luh D, Badin E, Albuquerque W, Roderfeld M, Roeb E, Grevelding CG, Spengler B. Schistosoma mansoni infection induces hepatic metallothionein and S100 protein expression alongside metabolic dysfunction in hamsters. PNAS NEXUS 2024; 3:pgae104. [PMID: 38562583 PMCID: PMC10983833 DOI: 10.1093/pnasnexus/pgae104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/20/2024] [Indexed: 04/04/2024]
Abstract
Schistosomiasis, a widespread neglected tropical disease, presents a complex and multifaceted clinical-pathological profile. Using hamsters as final hosts, we dissected molecular events following Schistosoma mansoni infection in the liver-the organ most severely affected in schistosomiasis patients. Employing tandem mass tag-based proteomics, we studied alterations in the liver proteins in response to various infection modes and genders. We examined livers from female and male hamsters that were: noninfected (control), infected with either unisexual S. mansoni cercariae (single-sex) or both sexes (bisex). The infection induced up-regulation of proteins associated with immune response, cytoskeletal reorganization, and apoptotic signaling. Notably, S. mansoni egg deposition led to the down-regulation of liver factors linked to energy supply and metabolic processes. Gender-specific responses were observed, with male hamsters showing higher susceptibility, supported by more differentially expressed proteins than found in females. Of note, metallothionein-2 and S100a6 proteins exhibited substantial up-regulation in livers of both genders, suggesting their pivotal roles in the liver's injury response. Immunohistochemistry and real-time-qPCR confirmed strong up-regulation of metallothionein-2 expression in the cytoplasm and nucleus upon the infection. Similar findings were seen for S100a6, which localized around granulomas and portal tracts. We also observed perturbations in metabolic pathways, including down-regulation of enzymes involved in xenobiotic biotransformation, cellular energy metabolism, and lipid modulation. Furthermore, lipidomic analyses through liquid chromatography-tandem mass spectrometry and matrix-assisted laser desorption/ionization mass spectrometry imaging identified extensive alterations, notably in cardiolipin and triacylglycerols, suggesting specific roles of lipids during pathogenesis. These findings provide unprecedented insights into the hepatic response to S. mansoni infection, shedding light on the complexity of liver pathology in this disease.
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Affiliation(s)
- Parviz Ghezellou
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Verena von Bülow
- Department of Gastroenterology, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - David Luh
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Elisa Badin
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Wendell Albuquerque
- Institute of Food Chemistry and Food Biotechnology, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Martin Roderfeld
- Department of Gastroenterology, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Elke Roeb
- Department of Gastroenterology, Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Christoph G Grevelding
- Institute of Parasitology, Biomedical Research Center Seltersberg (BFS), Justus Liebig University Giessen, 35392 Giessen, Germany
| | - Bernhard Spengler
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, Germany
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5
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O’Sullivan JF, Li M, Koay YC, Wang XS, Guglielmi G, Marques FZ, Nanayakkara S, Mariani J, Slaughter E, Kaye DM. Cardiac Substrate Utilization and Relationship to Invasive Exercise Hemodynamic Parameters in HFpEF. JACC Basic Transl Sci 2024; 9:281-299. [PMID: 38559626 PMCID: PMC10978404 DOI: 10.1016/j.jacbts.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 11/02/2023] [Accepted: 11/02/2023] [Indexed: 04/04/2024]
Abstract
The authors conducted transcardiac blood sampling in healthy subjects and subjects with heart failure with preserved ejection fraction (HFpEF) to compare cardiac metabolite and lipid substrate use. We demonstrate that fatty acids are less used by HFpEF hearts and that lipid extraction is influenced by hemodynamic factors including pulmonary pressures and cardiac index. The release of many products of protein catabolism is apparent in HFpEF compared to healthy myocardium. In subgroup analyses, differences in energy substrate use between female and male hearts were identified.
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Affiliation(s)
- John F. O’Sullivan
- Cardiometabolic Medicine, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, Australia
- Department of Medicine, TU Dresden, Dresden, Germany
| | - Mengbo Li
- Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Victoria, Australia
| | - Yen Chin Koay
- Cardiometabolic Medicine, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, Australia
| | - Xiao Suo Wang
- Cardiometabolic Medicine, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Giovanni Guglielmi
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, Australia
- School of Mathematics, University of Birmingham, Birmingham, United Kingdom
| | - Francine Z. Marques
- Hypertension Research Laboratory, School of Biological Sciences, Faculty of Science, Monash University, Melbourne, Australia
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
- Victorian Heart Institute, Monash University, Melbourne, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, Australia
| | - Shane Nanayakkara
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, Australia
- Monash-Alfred-Baker Centre for Cardiovascular Research, Monash University, Melbourne, Australia
| | - Justin Mariani
- Victorian Heart Institute, Monash University, Melbourne, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, Australia
- Monash-Alfred-Baker Centre for Cardiovascular Research, Monash University, Melbourne, Australia
| | - Eugene Slaughter
- Cardiometabolic Medicine, School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - David M. Kaye
- Heart Failure Research Group, Baker Heart and Diabetes Institute, Melbourne, Australia
- Department of Cardiology, Alfred Hospital, Melbourne, Australia
- Monash-Alfred-Baker Centre for Cardiovascular Research, Monash University, Melbourne, Australia
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6
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Santilli F, Fabrizi J, Martellucci S, Santacroce C, Iorio E, Pisanu ME, Chirico M, Lancia L, Pulcini F, Manganelli V, Sorice M, Delle Monache S, Mattei V. Lipid rafts mediate multilineage differentiation of human dental pulp-derived stem cells (DPSCs). Front Cell Dev Biol 2023; 11:1274462. [PMID: 38020931 PMCID: PMC10665896 DOI: 10.3389/fcell.2023.1274462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Cell outer membranes contain glycosphingolipids and protein receptors, which are integrated into glycoprotein domains, known as lipid rafts, which are involved in a variety of cellular processes, including receptor-mediated signal transduction and cellular differentiation process. In this study, we analyzed the lipidic composition of human Dental Pulp-Derived Stem Cells (DPSCs), and the role of lipid rafts during the multilineage differentiation process. The relative quantification of lipid metabolites in the organic fraction of DPSCs, performed by Nuclear Magnetic Resonance (NMR) spectroscopy, showed that mono-unsaturated fatty acids (MUFAs) were the most representative species in the total pool of acyl chains, compared to polyunsatured fatty acids (PUFAs). In addition, the stimulation of DPSCs with different culture media induces a multilineage differentiation process, determining changes in the gangliosides pattern. To understand the functional role of lipid rafts during multilineage differentiation, DPSCs were pretreated with a typical lipid raft affecting agent (MβCD). Subsequently, DPSCs were inducted to differentiate into osteoblast, chondroblast and adipoblast cells with specific media. We observed that raft-affecting agent MβCD prevented AKT activation and the expression of lineage-specific mRNA such as OSX, PPARγ2, and SOX9 during multilineage differentiation. Moreover, this compound significantly prevented the tri-lineage differentiation induced by specific stimuli, indicating that lipid raft integrity is essential for DPSCs differentiation. These results suggest that lipid rafts alteration may affect the signaling pathway activated, preventing multilineage differentiation.
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Affiliation(s)
- Francesca Santilli
- Biomedicine and Advanced Technologies Rieti Center, “Sabina Universitas”, Rieti, Italy
| | - Jessica Fabrizi
- Biomedicine and Advanced Technologies Rieti Center, “Sabina Universitas”, Rieti, Italy
- Department of Experimental Medicine, “Sapienza” University of Rome, Rome, Italy
| | - Stefano Martellucci
- Biomedicine and Advanced Technologies Rieti Center, “Sabina Universitas”, Rieti, Italy
| | - Costantino Santacroce
- Biomedicine and Advanced Technologies Rieti Center, “Sabina Universitas”, Rieti, Italy
| | - Egidio Iorio
- High Resolution NMR Unit, Core Facilities, Istituto Superiore di Sanità, Rome, Italy
| | - Maria Elena Pisanu
- High Resolution NMR Unit, Core Facilities, Istituto Superiore di Sanità, Rome, Italy
| | - Mattea Chirico
- High Resolution NMR Unit, Core Facilities, Istituto Superiore di Sanità, Rome, Italy
| | - Loreto Lancia
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Fanny Pulcini
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Valeria Manganelli
- Department of Experimental Medicine, “Sapienza” University of Rome, Rome, Italy
| | - Maurizio Sorice
- Department of Experimental Medicine, “Sapienza” University of Rome, Rome, Italy
| | - Simona Delle Monache
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Vincenzo Mattei
- Dipartimento di Scienze della Vita, della Salute e delle Professioni Sanitarie, Link Campus University, Rome, Italy
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7
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Xu J, Zhou L, Du X, Qi Z, Chen S, Zhang J, Cao X, Xia J. Transcriptome and Lipidomic Analysis Suggests Lipid Metabolism Reprogramming and Upregulating SPHK1 Promotes Stemness in Pancreatic Ductal Adenocarcinoma Stem-like Cells. Metabolites 2023; 13:1132. [PMID: 37999228 PMCID: PMC10673379 DOI: 10.3390/metabo13111132] [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: 09/26/2023] [Revised: 10/27/2023] [Accepted: 11/02/2023] [Indexed: 11/25/2023] Open
Abstract
Cancer stem cells (CSCs) are considered to play a key role in the development and progression of pancreatic ductal adenocarcinoma (PDAC). However, little is known about lipid metabolism reprogramming in PDAC CSCs. Here, we assigned stemness indices, which were used to describe and quantify CSCs, to every patient from the Cancer Genome Atlas (TCGA-PAAD) database and observed differences in lipid metabolism between patients with high and low stemness indices. Then, tumor-repopulating cells (TRCs) cultured in soft 3D (three-dimensional) fibrin gels were demonstrated to be an available PDAC cancer stem-like cell (CSLCs) model. Comprehensive transcriptome and lipidomic analysis results suggested that fatty acid metabolism, glycerophospholipid metabolism, and, especially, the sphingolipid metabolism pathway were mostly associated with CSLCs properties. SPHK1 (sphingosine kinases 1), one of the genes involved in sphingolipid metabolism and encoding the key enzyme to catalyze sphingosine to generate S1P (sphingosine-1-phosphate), was identified to be the key gene in promoting the stemness of PDAC. In summary, we explored the characteristics of lipid metabolism both in patients with high stemness indices and in novel CSLCs models, and unraveled a molecular mechanism via which sphingolipid metabolism maintained tumor stemness. These findings may contribute to the development of a strategy for targeting lipid metabolism to inhibit CSCs in PDAC treatment.
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Affiliation(s)
- Jinzhi Xu
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Xiaojing Du
- Endoscopy Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Zhuoran Qi
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Sinuo Chen
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Jian Zhang
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
| | - Xin Cao
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Institute of Clinical Science, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Jinglin Xia
- National Medical Center and National Clinical Research Center for Interventional Medicine, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China
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8
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Alabed HBR, Del Grosso A, Bellani V, Urbanelli L, Carpi S, De Sarlo M, Bertocci L, Colagiorgio L, Buratta S, Scaccini L, Frongia Mancini D, Tonazzini I, Cecchini M, Emiliani C, Pellegrino RM. Untargeted Lipidomic Approach for Studying Different Nervous System Tissues of the Murine Model of Krabbe Disease. Biomolecules 2023; 13:1562. [PMID: 37892244 PMCID: PMC10605133 DOI: 10.3390/biom13101562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 10/29/2023] Open
Abstract
Krabbe disease is a rare neurodegenerative disease with an autosomal recessive character caused by a mutation in the GALC gene. The mutation leads to an accumulation of psychosine and a subsequent degeneration of oligodendrocytes and Schwann cells. Psychosine is the main biomarker of the disease. The Twitcher mouse is the most commonly used animal model to study Krabbe disease. Although there are many references to this model in the literature, the lipidomic study of nervous system tissues in the Twitcher model has received little attention. This study focuses on the comparison of the lipid profiles of four nervous system tissues (brain, cerebellum, spinal cord, and sciatic nerve) in the Twitcher mouse compared to the wild-type mouse. Altogether, approximately 230 molecular species belonging to 19 lipid classes were annotated and quantified. A comparison at the levels of class, molecular species, and lipid building blocks showed significant differences between the two groups, particularly in the sciatic nerve. The in-depth study of the lipid phenotype made it possible to hypothesize the genes and enzymes involved in the changes. The integration of metabolic data with genetic data may be useful from a systems biology perspective to gain a better understanding of the molecular basis of the disease.
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Affiliation(s)
- Husam B. R. Alabed
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
| | - Ambra Del Grosso
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Valeria Bellani
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
| | - Lorena Urbanelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
- Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy
| | - Sara Carpi
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
- Department of Health Sciences, University “Magna Graecia” of Catanzaro, Viale Europa, Località Germaneto, 88100 Catanzaro, Italy
| | - Miriam De Sarlo
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Lorenzo Bertocci
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
| | - Laura Colagiorgio
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Sandra Buratta
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
| | - Luca Scaccini
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Dorotea Frongia Mancini
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
| | - Ilaria Tonazzini
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Marco Cecchini
- NEST (National Enterprise for nanoScience and nanoTechnology), Istituto Nanoscienze-CNR and Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy; (A.D.G.); (S.C.); (M.D.S.); (L.C.); (L.S.); (I.T.); (M.C.)
| | - Carla Emiliani
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
- Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy
| | - Roberto Maria Pellegrino
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy; (H.B.R.A.); (V.B.); (L.U.); (L.B.); (S.B.); (D.F.M.); (C.E.)
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9
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Zhu P, Bu G, Hu R, Ruan X, Fu R, Zhang Z, Wan Q, Liu X, Miao Y, Chen S. Lipidomic Characterization of Oocytes at Single-Cell Level Using Nanoflow Chromatography-Trapped Ion Mobility Spectrometry-Mass Spectrometry. Molecules 2023; 28:molecules28104202. [PMID: 37241942 DOI: 10.3390/molecules28104202] [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: 04/14/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
Mass spectrometry (MS)-based lipidomic has become a powerful tool for studying lipids in biological systems. However, lipidome analysis at the single-cell level remains a challenge. Here, we report a highly sensitive lipidomic workflow based on nanoflow liquid chromatography and trapped ion mobility spectrometry (TIMS)-MS. This approach enables the high-coverage identification of lipidome landscape at the single-oocyte level. By using the proposed method, comprehensive lipid changes in porcine oocytes during their maturation were revealed. The results provide valuable insights into the structural changes of lipid molecules during porcine oocyte maturation, highlighting the significance of sphingolipids and glycerophospholipids. This study offers a new approach to the single-cell lipidomic.
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Affiliation(s)
- Pujia Zhu
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Guowei Bu
- Institute of Stem Cell and Regenerative Biology, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Ruifeng Hu
- Institute of Stem Cell and Regenerative Biology, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Xianqin Ruan
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Rongrong Fu
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Zhourui Zhang
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Qiongqiong Wan
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Xin Liu
- Institute of Stem Cell and Regenerative Biology, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Yiliang Miao
- Institute of Stem Cell and Regenerative Biology, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
| | - Suming Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan 430072, China
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10
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Molenaar MR, Haaker MW, Vaandrager AB, Houweling M, Helms JB. Lipidomic profiling of rat hepatic stellate cells during activation reveals a two-stage process accompanied by increased levels of lysosomal lipids. J Biol Chem 2023; 299:103042. [PMID: 36803964 PMCID: PMC10033282 DOI: 10.1016/j.jbc.2023.103042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 01/30/2023] [Accepted: 02/07/2023] [Indexed: 02/19/2023] Open
Abstract
Hepatic stellate cells (HSCs) are liver-resident cells best known for their role in vitamin A storage under physiological conditions. Upon liver injury, HSCs activate into myofibroblast-like cells, a key process in the onset of liver fibrosis. Lipids play an important role during HSC activation. Here, we provide a comprehensive characterization of the lipidomes of primary rat HSCs during 17 days of activation in vitro. For lipidomic data interpretation, we expanded our previously described Lipid Ontology (LION) and associated web application (LION/Web) with the LION-PCA heatmap module, which generates heatmaps of the most typical LION-signatures in lipidomic datasets. Furthermore, we used LION to perform pathway analysis to determine the significant metabolic conversions in lipid pathways. Together, we identify two distinct stages of HSC activation. In the first stage, we observe a decrease of saturated phosphatidylcholine, sphingomyelin, and phosphatidic acid and an increase in phosphatidylserine and polyunsaturated bis(monoacylglycero)phosphate (BMP), a lipid class typically localized at endosomes and lysosomes. In the second activation stage, BMPs, hexosylceramides, and ether-linked phosphatidylcholines are elevated, resembling a lysosomal lipid storage disease profile. The presence of isomeric structures of BMP in HSCs was confirmed ex vivo in MS-imaging datasets of steatosed liver sections. Finally, treatment with pharmaceuticals targeting the lysosomal integrity led to cell death in primary HSCs but not in HeLa cells. In summary, our combined data suggest that lysosomes play a critical role during a two-stage activation process of HSCs.
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Affiliation(s)
- Martijn R Molenaar
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Maya W Haaker
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - A Bas Vaandrager
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Martin Houweling
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - J Bernd Helms
- Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.
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11
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Alabed HBR, Gorello P, Pellegrino RM, Lancioni H, La Starza R, Taddei AA, Urbanelli L, Buratta S, Fernandez AGL, Matteucci C, Caniglia M, Arcioni F, Mecucci C, Emiliani C. Comparison between Sickle Cell Disease Patients and Healthy Donors: Untargeted Lipidomic Study of Erythrocytes. Int J Mol Sci 2023; 24:ijms24032529. [PMID: 36768849 PMCID: PMC9917006 DOI: 10.3390/ijms24032529] [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: 12/19/2022] [Revised: 01/19/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
Sickle cell disease (SCD) is one of the most common severe monogenic disorders in the world caused by a mutation on HBB gene and characterized by hemoglobin polymerization, erythrocyte rigidity, vaso-occlusion, chronic anemia, hemolysis, and vasculopathy. Recently, the scientific community has focused on the multiple genetic and clinical profiles of SCD. However, the lipid composition of sickle cells has received little attention in the literature. According to recent studies, changes in the lipid profile are strongly linked to several disorders. Therefore, the aim of this study is to dig deeper into lipidomic analysis of erythrocytes in order to highlight any variations between healthy and patient subjects. 241 lipid molecular species divided into 17 classes have been annotated and quantified. Lipidomic profiling of SCD patients showed that over 24% of total lipids were altered most of which are phospholipids. In-depth study of significant changes in lipid metabolism can give an indication of the enzymes and genes involved. In a systems biology scenario, these variations can be useful to improve the understanding of the biochemical basis of SCD and to try to make a score system that could be predictive for the severity of clinical manifestations.
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Affiliation(s)
- Husam B. R. Alabed
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Paolo Gorello
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Roberto Maria Pellegrino
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
- Correspondence:
| | - Hovirag Lancioni
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Roberta La Starza
- Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy
| | - Anna Aurora Taddei
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Lorena Urbanelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Sandra Buratta
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
| | - Anair Graciela Lema Fernandez
- Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy
| | - Caterina Matteucci
- Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy
| | - Maurizio Caniglia
- Pediatric Oncology-Hematology, Azienda Ospedaliera di Perugia, 06100 Perugia, Italy
| | - Francesco Arcioni
- Pediatric Oncology-Hematology, Azienda Ospedaliera di Perugia, 06100 Perugia, Italy
| | - Cristina Mecucci
- Hematology and Bone Marrow Transplantation Unit, Laboratory of Molecular Medicine (CREO), Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy
| | - Carla Emiliani
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06100 Perugia, Italy
- Centro di Eccellenza sui Materiali Innovativi Nanostrutturati (CEMIN), University of Perugia, Via del Giochetto, 06123 Perugia, Italy
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12
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Lipid transformation during postmortem chilled aging in Mongolian sheep using lipidomics. Food Chem 2022; 405:134882. [DOI: 10.1016/j.foodchem.2022.134882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/29/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022]
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13
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Gutiérrez Y, Fresch M, Scherber C, Brockmeyer J. The lipidome of an omnivorous insect responds to diet composition and social environment. Ecol Evol 2022; 12:e9497. [DOI: 10.1002/ece3.9497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/30/2022] [Accepted: 10/20/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Yeisson Gutiérrez
- Centro de Bioinformática y Biología Computacional de Colombia – BIOS Manizales Colombia
| | - Marion Fresch
- Institute for Biochemistry and Technical Biochemistry University of Stuttgart Stuttgart Germany
| | - Christoph Scherber
- Institute of Landscape Ecology University of Münster Münster Germany
- Centre for Biodiversity Monitoring Zoological Research Museum Alexander Koenig Bonn Germany
| | - Jens Brockmeyer
- Institute for Biochemistry and Technical Biochemistry University of Stuttgart Stuttgart Germany
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14
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Frankevich VE, Novoselova AV, Starodubtseva NL, Patysheva MR, Larionova IV, Rakina MA, Bragina OD, Kzhyshkowska JG. Methodology of determining the metabolomic profile of tumor-associated macrophages and monocytes in oncological diseases. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2022. [DOI: 10.24075/brsmu.2022.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Breast cancer is the leading cause of cancer-related death among women worldwide. Tumor-associated macrophages (TAMs) constitute the primary component of innate immunity in breast cancer tissue. During the development of new approaches for breast cancer treatment aimed at editing the epigenome of TAM, precise methods for the analysis of macrophage metabolome are required to examine the effect on new approaches on macrophage metabolism. Our study aimed to develop an HPLC-MS/MS-based analytical approach to characterize the metabolome of human innate immune cells (TAMs and their precursors, monocytes). Analysis of lipid extracts was conducted on a Dionex UltiMate 3000 liquid chromatograph connected to a Maxis Impact qTOF mass analyzer with an ESI ion source. Quantitative analysis of 38 amino acids in the cells was conducted using the Jasem Amino Acids LC-MS/MS Analysis Kit and an HPLC-MS/MS chromatographic system consisting out of an Agilent 6460 triple quadrupole mass spectrometric detector (Agilent), and an Agilent 1260 II liquid chromatograph (Agilent ) with Amino acids-HPLC Column (Jasem). The modified Folch method with double extraction was found to be the optimal approached for the sample preparation, since it enables to simultaneously isolate the lipid extract and water-soluble substances, in particular, amino acids. The method of reversed-phase chromatography yielded more useful data on the cell lipid composition than the method of hydrophilic interaction liquid chromatography (HILIC). The minimum number of cells required to determine the metabolome of immune system cells (TAM and monocytes) was identified as 2 × 106. Thus, we have developed the approach to determine the lipid and amino acid composition of modelled human TAMs and primary monocytes isolated out of breast cancer patients using minimal amount of clinical material.
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Affiliation(s)
- VE Frankevich
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - AV Novoselova
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - NL Starodubtseva
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - MR Patysheva
- Laboratory of translational cellular and molecular biomedicine, National Research Tomsk State University, Tomsk, Russia
| | - IV Larionova
- Laboratory of translational cellular and molecular biomedicine, National Research Tomsk State University, Tomsk, Russia
| | - MA Rakina
- Laboratory of translational cellular and molecular biomedicine, National Research Tomsk State University, Tomsk, Russia
| | - OD Bragina
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - JG Kzhyshkowska
- Laboratory of translational cellular and molecular biomedicine, National Research Tomsk State University, Tomsk, Russia
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15
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Hu X, Luo Y, Man Y, Tang X, Bi Z, Ren L. Lipidomic and transcriptomic analysis reveals the self-regulation mechanism of Schizochytrium sp. in response to temperature stresses. ALGAL RES 2022. [DOI: 10.1016/j.algal.2022.102664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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16
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Tokareva AO, Starodubtseva NL, Chagovets VV, Rodionov VV, Kometova VV, Chingin KS, Frankevich VE. [Lipidomic markers of tumor progress in breast cancer patients]. BIOMEDITSINSKAIA KHIMIIA 2022; 68:144-152. [PMID: 35485488 DOI: 10.18097/pbmc20226802144] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Research of cancer progression mechanisms and their impact on metabolism of tumor cells and tumor microenvironment cells is an important element in drug development for cancer target therapy. In this study, changes in tumor tissue and margin tissue lipid profiles, were associated with the following clinical and morphological characteristics: tumor size, cancer stage, multifocalite, tumor grade, number of lymph node metastasis, Nottingham prognostic index, total malignancy score, level of Ki67 protein. Lipid profiling was performed by reverse-phase chromato-mass spectrometry analysis of lipid tissue extract with lipid identification by characteristic fragments. In the lipid profile of tumor tissue 13 characteristic lipids were selected. Their levels significantly correlated with at least 5 clinical and morphological features. Eight of 13 belonged to phosphatidylcholines. In lipid profile of tumor microenviroment tissue 13 lipid features were selected. Their levels significantly correlated with at least 5 clinical and morphological features. Four of 13 belonged to oxidized lipids, 4 lipid features belonged to sphingomyelins, four of 13 belonged to phosphatidylethanolamines. The tumor microenvironment tissue lipid profile correlated with tumor size, cancer stage, tumor grade, number of axillary metastases, Nottingham prognostic index. The tumor tissue lipid profile correlated with tumor size, tumor grade, total malignant score, and number of axillary metastases.
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Affiliation(s)
- A O Tokareva
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - N L Starodubtseva
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia; 2V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physics, Moscow, Russia
| | - V V Chagovets
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - V V Rodionov
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - V V Kometova
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - K S Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
| | - V E Frankevich
- Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
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17
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Wu J, Chai T, Zhang H, Huang Y, Perry SW, Li Y, Duan J, Tan X, Hu X, Liu Y, Pu J, Wang H, Song J, Jin X, Ji P, Zheng P, Xie P. Changes in gut viral and bacterial species correlate with altered 1,2-diacylglyceride levels and structure in the prefrontal cortex in a depression-like non-human primate model. Transl Psychiatry 2022; 12:74. [PMID: 35194021 PMCID: PMC8863841 DOI: 10.1038/s41398-022-01836-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 01/18/2022] [Accepted: 01/20/2022] [Indexed: 01/02/2023] Open
Abstract
Major depressive disorder (MDD) is a debilitating mental disease, but its underlying molecular mechanisms remain obscure. Our previously established model of naturally occurring depression-like (DL) behaviors in Macaca fascicularis, which is characterized by microbiota-gut-brain (MGB) axis disturbances, can be used to interrogate how a disturbed gut ecosystem may impact the molecular pathology of MDD. Here, gut metagenomics were used to characterize how gut virus and bacterial species, and associated metabolites, change in depression-like monkey model. We identified a panel of 33 gut virus and 14 bacterial species that could discriminate the depression-like from control macaques. In addition, using lipidomic analyses of central and peripheral samples obtained from these animals, we found that the DL macaque were characterized by alterations in the relative abundance, carbon-chain length, and unsaturation degree of 1,2-diacylglyceride (DG) in the prefrontal cortex (PFC), in a brain region-specific manner. In addition, lipid-reaction analysis identified more active and inactive lipid pathways in PFC than in amygdala or hippocampus, with DG being a key nodal player in these lipid pathways. Significantly, co-occurrence network analysis showed that the DG levels may be relevant to the onset of negative emotions behaviors in PFC. Together our findings suggest that altered DG levels and structure in the PFC are hallmarks of the DL macaque, thus providing a new framework for understanding the gut microbiome's role in depression.
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Affiliation(s)
- Jing Wu
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.203458.80000 0000 8653 0555The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, the College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016 China
| | - Tingjia Chai
- grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.203458.80000 0000 8653 0555College of Biomedical Engineering, Chongqing Medical University, Chongqing, 400016 China
| | - Hanping Zhang
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Yu Huang
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Seth W. Perry
- grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, College of Medicine, State University of New York (SUNY) Upstate Medical University, Syracuse, New York USA ,grid.411023.50000 0000 9159 4457Department of Neuroscience & Physiology, College of Medicine, SUNY Upstate Medical University, Syracuse, New York USA
| | - Yifan Li
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Jiajia Duan
- grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.203458.80000 0000 8653 0555The M.O.E. Key Laboratory of Laboratory Medical Diagnostics, the College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016 China
| | - Xunmin Tan
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Xi Hu
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Yiyun Liu
- grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Juncai Pu
- grid.452206.70000 0004 1758 417XDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China
| | - Haiyang Wang
- grid.452206.70000 0004 1758 417XNHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016 China ,grid.459985.cChongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, 401147 China
| | - Jinlin Song
- grid.459985.cChongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, 401147 China ,grid.459985.cKey Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Jin
- grid.459985.cChongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, 401147 China ,grid.459985.cKey Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Ping Ji
- grid.459985.cChongqing Key Laboratory of Oral Diseases and Biomedical Sciences, Stomatological Hospital of Chongqing Medical University, Chongqing, 401147 China ,grid.459985.cKey Laboratory of Psychoseomadsy, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. .,NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. .,NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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18
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Sun L, Yang Z, Zhao W, Chen Q, Bai H, Wang S, Yang L, Bi C, Shi Y, Liu Y. Integrated lipidomics, transcriptomics and network pharmacology analysis to reveal the mechanisms of Danggui Buxue Decoction in the treatment of diabetic nephropathy in type 2 diabetes mellitus. JOURNAL OF ETHNOPHARMACOLOGY 2022; 283:114699. [PMID: 34610419 DOI: 10.1016/j.jep.2021.114699] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 06/13/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Danggui Buxue Decoction (DBT) is classical prescriptions, which contains two Traditional Chinese Medicines of Angelicae sinensis radix and Astragali radix. According to the preliminary work of our laboratory and numerous studies, it has been found that DBT has a therapeutic effect on diabetic nephropathy (DN). However, the mechanisms underlying its action remain unclear. AIM OF THE STUDY The aim of this study was to evaluate the impact of DBT on kidney disease in diabetic mice and further explore its protective mechanism. METHODS DN mice model was induced by high-fat fodder and streptozotocin (STZ). Qualitative and quantitative analysis of 6 compounds in DBT was carried out by HPLC, including calycosin-7-glucoside, ferulic acid, ononin, calycosin, formononetin, and levostilide A. Hematoxylin-Eosin (HE) staining was used to determine the degree of kidney pathological damage. The UPLC-Q Exactive MS technique was used to analyze the lipids metabolism profile of kidneys samples and multiple statistical analysis methods were used to screen and identify biomarkers. Transcriptomics analyses were carried out using RNAseq. The possible molecular mechanism was unraveled by network pharmacology. RESULTS Thirty-one significantly altered lipid metabolites were identified in the model group comparing with the control group. DBT improved aberrant expression of several pathways related to lipidomics, including glycerophospholipid metabolism and sphingolipid metabolism. Comprehensive analysis indicated that DBT intervention reduced the content of Cers, phosphatidylethanolamines and phosphatidylcholines in mouse kidneys by downregulating the transcription level of Degs2 and Cers, reducing lipid accumulation and promoting Akt phosphorylation by upregulating the expression of Acers and Pdk1. Network pharmacology analysis showed that components in DBT, such as kaempferol, ferulic acid and astragaloside IV, could be responsible for the pharmacological activity of DN by regulating the AGE-RAGE, PI3K/Akt, MAPK and NF-κB signaling pathways in diabetic complications. CONCLUSIONS These results showed that DBT may improve DN by affecting insulin resistance, chronic inflammation and lipid accumulation.
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Affiliation(s)
- Lili Sun
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Zhigang Yang
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China.
| | - Wei Zhao
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Qin Chen
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Haiying Bai
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Shanshan Wang
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Li Yang
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Chunmei Bi
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yanbin Shi
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yingqian Liu
- School of Pharmacy, Lanzhou University, Lanzhou, 730000, Gansu, China
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Li L, Li N, Qi X, Bai Y, Chen Q, Fang H, Yu X, Liu D, Liang C, Zhou Y. Characterization of the Glehnia littoralis Non-specific Phospholipase C Gene GlNPC3 and Its Involvement in the Salt Stress Response. FRONTIERS IN PLANT SCIENCE 2021; 12:769599. [PMID: 34956268 PMCID: PMC8695444 DOI: 10.3389/fpls.2021.769599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Glehnia littoralis is a medicinal halophyte that inhabits sandy beaches and has high ecological and commercial value. However, the molecular mechanism of salt adaptation in G. littoralis remains largely unknown. Here, we cloned and identified a non-specific phospholipase C gene (GlNPC3) from G. littoralis, which conferred lipid-mediated signaling during the salt stress response. The expression of GlNPC3 was induced continuously by salt treatment. Overexpression of GlNPC3 in Arabidopsis thaliana increased salt tolerance compared to wild-type (WT) plants. GlNPC3-overexpressing plants had longer roots and higher fresh and dry masses under the salt treatment. The GlNPC3 expression pattern revealed that the gene was expressed in most G. littoralis tissues, particularly in roots. The subcellular localization of GlNPC3 was mainly at the plasma membrane, and partially at the tonoplast. GlNPC3 hydrolyzed common membrane phospholipids, such as phosphotidylserine (PS), phosphoethanolamine (PE), and phosphocholine (PC). In vitro enzymatic assay showed salt-induced total non-specific phospholipase C (NPC) activation in A. thaliana GlNPC3-overexpressing plants. Plant lipid profiling showed a significant change in the membrane-lipid composition of A. thaliana GlNPC3-overexpressing plants compared to WT after the salt treatment. Furthermore, downregulation of GlNPC3 expression by virus-induced gene silencing in G. littoralis reduced the expression levels of some stress-related genes, such as SnRK2, P5SC5, TPC1, and SOS1. Together, these results indicated that GlNPC3 and GlNPC3-mediated membrane lipid change played a positive role in the response of G. littoralis to a saline environment.
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Affiliation(s)
- Li Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Naiwei Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Xiwu Qi
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Yang Bai
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Qiutong Chen
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Hailing Fang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Xu Yu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Dongmei Liu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
| | - Chengyuan Liang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
- College of Forestry, Nanjing Forestry University, Nanjing, China
| | - Yifeng Zhou
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing, China
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20
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The altered serum lipidome and its diagnostic potential for Non-Alcoholic Fatty Liver (NAFL)-associated hepatocellular carcinoma. EBioMedicine 2021; 73:103661. [PMID: 34740106 PMCID: PMC8577325 DOI: 10.1016/j.ebiom.2021.103661] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/11/2021] [Accepted: 10/15/2021] [Indexed: 01/22/2023] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is affecting more people globally. Indeed, NAFLD is a spectrum of metabolic dysfunctions that can progress to hepatocellular carcinoma (NAFLD-HCC). This development can occur in a non-cirrhotic liver and thus, often lack clinical surveillance. The aim of this study was to develop non-invasive surveillance method for NAFLD-HCC. Methods Using comprehensive ultra-high-performance liquid chromatography mass-spectrometry, we investigated 1,295 metabolites in serum from 249 patients. Area under the receiver operating characteristic curve was calculated for all detected metabolites and used to establish their diagnostic potential. Logistic regression analysis was used to establish the diagnostic score. Findings We show that NAFLD-HCC is characterised by a complete rearrangement of the serum lipidome, which distinguishes NAFLD-HCC from non-cancerous individuals and other HCC patients. We used machine learning to build a diagnostic model for NAFLD-HCC. We quantified predictive metabolites and developed the NAFLD-HCC Diagnostic Score (NHDS), presenting superior diagnostic potential compared to alpha-fetoprotein (AFP). Patients’ metabolic landscapes show a progressive depletion in unsaturated fatty acids and acylcarnitines during transformation. Upregulation of fatty acid transporters in NAFLD-HCC tumours contribute to fatty acid depletion in the serum. Interpretation NAFLD-HCC patients can be efficiently distinguished by serum metabolic alterations from the healthy population and from HCC patients related to other aetiologies (alcohol and viral hepatitis). Our model can be used for non-invasive surveillance of individuals with metabolic syndrome(s), allowing for early detection of NAFLD-HCC. Therefore, serum metabolomics may provide valuable insight to monitor patients at risk, including morbidly obese, diabetics, and NAFLD patients. Funding The funding sources for this study had no role in study design, data collection, data analyses, interpretation or writing of the report as it is presented herein.
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21
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Abshirini M, Cabrera D, Fraser K, Siriarchavatana P, Wolber FM, Miller MR, Tian HS, Kruger MC. Mass Spectrometry-Based Metabolomic and Lipidomic Analysis of the Effect of High Fat/High Sugar Diet and Greenshell TM Mussel Feeding on Plasma of Ovariectomized Rats. Metabolites 2021; 11:metabo11110754. [PMID: 34822412 PMCID: PMC8622240 DOI: 10.3390/metabo11110754] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 10/24/2021] [Accepted: 10/27/2021] [Indexed: 12/05/2022] Open
Abstract
This study aimed to examine the changes in lipid and metabolite profiles of ovariectomized (OVX) rats with diet-induced metabolic syndrome-associated osteoarthritis (MetOA) after supplementation with greenshell mussel (GSM) using an untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics approach. Ninety-six rats were fed with one of four diets: control, control supplemented with GSM + GSM, high fat/high sugar (HFHS), or high fat/high sugar enriched with GSM (HFHS + GSM). After 8 weeks on experimental diets, half of the rats in each group underwent OVX and the other half were sham operated. After being fed for an additional 28 weeks, blood samples were collected for the metabolomics analysis. Lipid and polar metabolites were extracted from plasma and analysed by LC-MS. We identified 29 lipid species from four lipid subclasses (phosphatidylcholine, lysophosphatidylcholine, diacylglycerol, and triacylglycerol) and a set of eight metabolites involved in amino acid metabolism (serine, threonine, lysine, valine, histidine, pipecolic acid, 3-methylcytidine, and cholic acid) as potential biomarkers for the effect of HFHS diet and GSM supplementation. GSM incorporation more specifically in the control diet generated significant alterations in the levels of several lipids and metabolites. Further studies are required to validate these findings that identify potential biomarkers to follow OA progression and to monitor the impact of GSM supplementation.
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Affiliation(s)
- Maryam Abshirini
- School of Health Sciences, College of Health, Massey University, Palmerston North 4442, New Zealand;
| | - Diana Cabrera
- Food Chemistry and Structure, AgResearch Grasslands, Palmerston North 4442, New Zealand; (D.C.); (K.F.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
| | - Karl Fraser
- Food Chemistry and Structure, AgResearch Grasslands, Palmerston North 4442, New Zealand; (D.C.); (K.F.)
- High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
- Riddet Institute, Massey University, Palmerston North 4442, New Zealand
| | - Parkpoom Siriarchavatana
- School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand; (P.S.); (F.M.W.)
| | - Frances M. Wolber
- School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand; (P.S.); (F.M.W.)
- Centre for Metabolic Health Research, Massey University, Palmerston North 4442, New Zealand
| | | | | | - Marlena C. Kruger
- School of Health Sciences, College of Health, Massey University, Palmerston North 4442, New Zealand;
- Correspondence:
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22
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Li F, Song J, Zhang Y, Wang S, Wang J, Lin L, Yang C, Li P, Huang H. LINT-Web: A Web-Based Lipidomic Data Mining Tool Using Intra-Omic Integrative Correlation Strategy. SMALL METHODS 2021; 5:e2100206. [PMID: 34928054 DOI: 10.1002/smtd.202100206] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 07/14/2021] [Indexed: 06/14/2023]
Abstract
Lipidomics is a younger member of the "omics" family. It aims to profile lipidome alterations occurring in biological systems. Similar to the other "omics", lipidomic data is highly dimensional and contains a massive amount of information awaiting deciphering and data mining. Currently, the available bioinformatic tools targeting lipidomic data processing and lipid pathway analysis are limited. A few tools designed for lipidomic analysis perform only basic statistical analyses, and lipid pathway analyses rely heavily on public databases (KEGG, Reactome, and HMDB). Due to the inadequate understanding of lipid signaling and metabolism, the use of public databases for lipid pathway analysis can be biased and misleading. Instead of using public databases to interpret lipidomic ontology, the authors introduce an intra-omic integrative correlation strategy for lipidomic data mining. Such an intra-omic strategy allows researchers to unscramble and predict lipid biological functions from correlated genomic ontological results using statistical approaches. To simplify and improve the lipidomic data processing experience, they designed an interactive web-based tool: LINT-web (http://www.lintwebomics.info/) to perform the intra-omic analysis strategy, and validated the functions of LINT-web using two biological systems. Users without sophisticated statistical experience can easily process lipidomic datasets and predict the potential lipid biological functions using LINT-web.
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Affiliation(s)
- Fengsheng Li
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
| | - Jia Song
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yingkun Zhang
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Shuaikang Wang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
| | - Jinhui Wang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
| | - Li Lin
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Chaoyong Yang
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, State Key Laboratory for Physical Chemistry of Solid Surfaces, Key Laboratory for Chemical Biology of Fujian Province, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China
| | - Peng Li
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
- Shanghai Qi Zhi Institute, Shanghai, 200030, China
| | - He Huang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
- Shanghai Qi Zhi Institute, Shanghai, 200030, China
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23
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Ressurreição M, van Ooij C. Lipid transport proteins in malaria, from Plasmodium parasites to their hosts. Biochim Biophys Acta Mol Cell Biol Lipids 2021; 1866:159047. [PMID: 34461309 DOI: 10.1016/j.bbalip.2021.159047] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 08/08/2021] [Accepted: 08/10/2021] [Indexed: 11/25/2022]
Abstract
Eukaryotic unicellular pathogens from the genus Plasmodium are the etiological agents of malaria, a disease that persists over a wide range of vertebrate species, including humans. During its dynamic lifecycle, survival in the different hosts depends on the parasite's ability to establish a suitable environmental milieu. To achieve this, specific host processes are exploited to support optimal growth, including extensive modifications to the infected host cell. These modifications include the formation of novel membranous structures, which are induced by the parasite. Consequently, to maintain a finely tuned and dynamic lipid environment, the organisation and distribution of lipids to different cell sites likely requires specialised lipid transfer proteins (LTPs). Indeed, several parasite and host-derived LTPs have been identified and shown to be essential at specific stages. Here we describe the roles of LTPs in parasite development and adaptation to its host including how the latest studies are profiting from the improved genetic, lipidomic and imaging toolkits available to study Plasmodium parasites. Lastly, a list of predicted Plasmodium LTPs is provided to encourage research in this field.
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Affiliation(s)
- Margarida Ressurreição
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom.
| | - Christiaan van Ooij
- Department of Infection Biology, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, United Kingdom.
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24
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Wang Y, Hong J, Shi M, Guo L, Liu L, Tang H, Liu X. Triphenyl phosphate disturbs the lipidome and induces endoplasmic reticulum stress and apoptosis in JEG-3 cells. CHEMOSPHERE 2021; 275:129978. [PMID: 33662732 DOI: 10.1016/j.chemosphere.2021.129978] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 01/31/2021] [Accepted: 02/11/2021] [Indexed: 06/12/2023]
Abstract
Triphenyl phosphate (TPP) is a frequently used aryl organophosphate flame retardant. Epidemiological studies have shown that TPP and its metabolite diphenyl phosphate (DPP) can accumulate in the placenta, and positively correlated with abnormal birth outcomes. TPP can disturb placental hormone secretion through the peroxisome proliferator-activated receptor γ (PPARγ) pathway. However, the extent and mechanism of placental toxicity mediation by TPP remains unknown. In this study, we used JEG-3 cells to investigate the role of PPARγ-regulated lipid metabolism in TPP-mediated placental toxicity. The results of lipidomic analysis showed that TPP increased the production of triglycerides (TG), fatty acids (FAs), and phosphatidic acid (PA), but decreased the levels of phosphatidylethanol (PE), phosphatidylserine (PS), and sphingomyelin (SM). TG accumulation was accompanied by increased levels of sterol regulatory element binding transcription factor 1 (SREBP1), acetyl-coA carboxylase (ACC), and fatty acid transport protein (CD36). Although PPARγ and its target CCAAT/enhancer binding proteins (C/EBPα) was decreased, the TG content and gene expression of SREBP1, ACC, and CD36 decreased when TPP was co-exposed to the PPARγ antagonist GW9662. TPP also induced inflammatory responses, endoplasmic reticulum stress (ERS), and cell apoptosis. Expression of genes related to ERS and apoptosis were attenuated by GW9662. Together, these results show that TPP can disturb lipid metabolism and cause lipid accumulation through PPARγ, induce ERS, and cell apoptosis. Our findings reveal that the developmental toxicity of TPP through placental toxicity should not be ignored.
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Affiliation(s)
- Yao Wang
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China
| | - Jiabin Hong
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China
| | - Ming Shi
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China
| | - Lianxian Guo
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China
| | - Linhua Liu
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China
| | - Huanwen Tang
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China.
| | - Xiaoshan Liu
- School of Public Health, Dongguan Key Laboratory of Environmental Medicine, Guangdong Medical University, Guangdong, 523-808, China.
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25
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Integrated lipidomics and proteomics reveal cardiolipin alterations, upregulation of HADHA and long chain fatty acids in pancreatic cancer stem cells. Sci Rep 2021; 11:13297. [PMID: 34168259 PMCID: PMC8225828 DOI: 10.1038/s41598-021-92752-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 06/15/2021] [Indexed: 02/06/2023] Open
Abstract
Pancreatic cancer stem cells (PCSCs) play a key role in the aggressiveness of pancreatic ductal adenocarcinomas (PDAC); however, little is known about their signaling and metabolic pathways. Here we show that PCSCs have specific and common proteome and lipidome modulations. PCSCs displayed downregulation of lactate dehydrogenase A chain, and upregulation of trifunctional enzyme subunit alpha. The upregulated proteins of PCSCs are mainly involved in fatty acid (FA) elongation and biosynthesis of unsaturated FAs. Accordingly, lipidomics reveals an increase in long and very long-chain unsaturated FAs, which are products of fatty acid elongase-5 predicted as a key gene. Moreover, lipidomics showed the induction in PCSCs of molecular species of cardiolipin with mixed incorporation of 16:0, 18:1, and 18:2 acyl chains. Our data indicate a crucial role of FA elongation and alteration in cardiolipin acyl chain composition in PCSCs, representing attractive therapeutic targets in PDAC.
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26
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Gaud C, C Sousa B, Nguyen A, Fedorova M, Ni Z, O'Donnell VB, Wakelam MJO, Andrews S, Lopez-Clavijo AF. BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS. F1000Res 2021; 10:4. [PMID: 33564392 PMCID: PMC7848852 DOI: 10.12688/f1000research.28022.2] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 11/20/2022] Open
Abstract
Lipidomics increasingly describes the quantification using mass spectrometry of all lipids present in a biological sample. As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment. Observed changes due to biological differences often encompass large numbers of structurally-related lipids, with these being regulated by enzymes from well-known metabolic pathways. As lipidomics datasets increase in complexity, the interpretation of their results becomes more challenging. BioPAN addresses this by enabling the researcher to visualise quantitative lipidomics data in the context of known biosynthetic pathways. BioPAN provides a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolism in mammalian tissues.
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Affiliation(s)
- Caroline Gaud
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Bebiana C Sousa
- Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - An Nguyen
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Maria Fedorova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
| | - Zhixu Ni
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
| | - Valerie B O'Donnell
- Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK
| | - Michael J O Wakelam
- Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Simon Andrews
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Andrea F Lopez-Clavijo
- Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
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27
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Gaud C, C. Sousa B, Nguyen A, Fedorova M, Ni Z, O’Donnell VB, Wakelam MJ, Andrews S, Lopez-Clavijo AF. BioPAN: a web-based tool to explore mammalian lipidome metabolic pathways on LIPID MAPS. F1000Res 2021; 10:4. [PMID: 33564392 PMCID: PMC7848852 DOI: 10.12688/f1000research.28022.1] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/20/2021] [Indexed: 08/13/2023] Open
Abstract
Lipidomics increasingly describes the quantification using mass spectrometry of all lipids present in a biological sample. As the power of lipidomics protocols increase, thousands of lipid molecular species from multiple categories can now be profiled in a single experiment. Observed changes due to biological differences often encompass large numbers of structurally-related lipids, with these being regulated by enzymes from well-known metabolic pathways. As lipidomics datasets increase in complexity, the interpretation of their results becomes more challenging. BioPAN addresses this by enabling the researcher to visualise quantitative lipidomics data in the context of known biosynthetic pathways. BioPAN provides a list of genes, which could be involved in the activation or suppression of enzymes catalysing lipid metabolism in mammalian tissues.
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Affiliation(s)
- Caroline Gaud
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Bebiana C. Sousa
- Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - An Nguyen
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Maria Fedorova
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
| | - Zhixu Ni
- Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, 04109, Germany
| | - Valerie B. O’Donnell
- Systems Immunity Research Institute, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK
| | - Michael J.O. Wakelam
- Lipidomics facility, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Simon Andrews
- Bioinformatics Group, Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK
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28
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High-coverage lipidomics for functional lipid and pathway analyses. Anal Chim Acta 2020; 1147:199-210. [PMID: 33485579 DOI: 10.1016/j.aca.2020.11.024] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 11/10/2020] [Accepted: 11/18/2020] [Indexed: 12/19/2022]
Abstract
Rapid advances in front-end separation approaches and analytical technologies have accelerated the development of lipidomics, particularly in terms of increasing analytical coverage to encompass an expanding repertoire of lipids within a single analytical approach. Developments in lipid pathway analysis, however, have somewhat lingered behind, primarily due to (1) the lack of coherent alignment between lipid identifiers in common databases versus that generated from experiments, owing to the differing structural resolution of lipids at molecular level that is specific to the analytical approaches adopted by various laboratories; (2) the immense complexity of lipid metabolic relationships that may entail head group changes, fatty acyls modifications of various forms (e.g. elongation, desaturation, oxidation), as well as active remodeling that demands a multidimensional, panoramic view to take into account all possibilities in lipid pathway analyses. Herein, we discuss current efforts undertaken to address these challenges, as well as alternative form of "pathway analyses" that may be particularly useful for uncovering functional lipid interactions under different biological contexts. Consolidating lipid pathway analyses will be indispensable in facilitating the transition of lipidomics from its prior role of phenotype validation to a hypothesis-generating tool that uncovers novel molecular targets to drive downstream mechanistic pursuits under biomedical settings.
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29
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Vietri Rudan M, Mishra A, Klose C, Eggert US, Watt FM. Human epidermal stem cell differentiation is modulated by specific lipid subspecies. Proc Natl Acad Sci U S A 2020; 117:22173-22182. [PMID: 32843345 PMCID: PMC7486749 DOI: 10.1073/pnas.2011310117] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
While the lipids of the outer layers of mammalian epidermis and their contribution to barrier formation have been extensively described, the role of individual lipid species in the onset of keratinocyte differentiation remains unknown. A lipidomic analysis of primary human keratinocytes revealed accumulation of numerous lipid species during suspension-induced differentiation. A small interfering RNA screen of 258 lipid-modifying enzymes identified two genes that on knockdown induced epidermal differentiation: ELOVL1, encoding elongation of very long-chain fatty acids protein 1, and SLC27A1, encoding fatty acid transport protein 1. By intersecting lipidomic datasets from suspension-induced differentiation and knockdown keratinocytes, we pinpointed candidate bioactive lipid subspecies as differentiation regulators. Several of these-ceramides and glucosylceramides-induced differentiation when added to primary keratinocytes in culture. Our results reveal the potential of lipid subspecies to regulate exit from the epidermal stem cell compartment.
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Affiliation(s)
- Matteo Vietri Rudan
- Centre for Stem Cells and Regenerative Medicine, King's College London, SE1 9RT London, United Kingdom
| | - Ajay Mishra
- Centre for Stem Cells and Regenerative Medicine, King's College London, SE1 9RT London, United Kingdom
- European Bioinformatics Institute, CB10 1SD Hinxton, United Kingdom
| | | | - Ulrike S Eggert
- Randall Centre for Cell and Molecular Biophysics, King's College London, SE1 1UL London, United Kingdom
| | - Fiona M Watt
- Centre for Stem Cells and Regenerative Medicine, King's College London, SE1 9RT London, United Kingdom;
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30
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Plasma Lipid Profile Reveals Plasmalogens as Potential Biomarkers for Colon Cancer Screening. Metabolites 2020; 10:metabo10060262. [PMID: 32630389 PMCID: PMC7345851 DOI: 10.3390/metabo10060262] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/12/2020] [Accepted: 06/12/2020] [Indexed: 12/24/2022] Open
Abstract
In this era of precision medicine, there is an increasingly urgent need for highly sensitive tests for detecting tumors such as colon cancer (CC), a silent disease where the first symptoms may take 10–15 years to appear. Mass spectrometry-based lipidomics is an emerging tool for such clinical diagnosis. We used ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry operating in high energy collision spectral acquisition mode (MSE) mode (UPLC-QTOF-MSE) and gas chromatography (GC) to investigate differences between the plasmatic lipidic composition of CC patients and control (CTR) subjects. Key enzymes in lipidic metabolism were investigated using immuno-based detection assays. Our partial least squares discriminant analysis (PLS-DA) resulted in a suitable discrimination between CTR and CC plasma samples. Forty-two statistically significant discriminating lipids were putatively identified. Ether lipids showed a prominent presence and accordingly, a decrease in glyceronephosphate O-acyltransferase (GNPAT) enzyme activity was found. A receiver operating characteristic (ROC) curve built for three plasmalogens of phosphatidylserine (PS), named PS(P-36:1), PS(P-38:3) and PS(P-40:5), presented an area under the curve (AUC) of 0.998, and sensitivity and specificity of 100 and 85.7% respectively. These results show significant differences in CC patients’ plasma lipid composition that may be useful in discriminating them from CTR individuals with a special role for plasmalogens.
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Advances in Liquid Chromatography–Mass Spectrometry-Based Lipidomics: A Look Ahead. JOURNAL OF ANALYSIS AND TESTING 2020. [DOI: 10.1007/s41664-020-00135-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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32
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Zhang W, Huo T, Li A, Wu X, Feng C, Liu J, Jiang H. Identification of neurotoxicity markers induced by realgar exposure in the mouse cerebral cortex using lipidomics. JOURNAL OF HAZARDOUS MATERIALS 2020; 389:121567. [PMID: 32061421 DOI: 10.1016/j.jhazmat.2019.121567] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 10/12/2019] [Accepted: 10/29/2019] [Indexed: 06/10/2023]
Abstract
Realgar is a traditional Chinese medicine containing arsenic and has neurotoxicity. This study used realgar exposure mice model, neurobehavioral tests, analytical chemistry, molecular biology and nontargeted lipidomics to explore the mechanism of realgar damages the nervous system. The arsenic contained in realgar passed through the BBB and accumulated in the brain. Neurons, synapses and myelin showed abnormal changes in the cerebral cortex. The number of autophagosomes were incresed as well as levels of MDA, Lp-PLA2, and cPLA2 but the CAT level was significant reduced. Finally, the cognition and memory of mice were decreased. Nontargeted lipidomics detected 34 lipid subclasses including 1603 lipid molecules. The levels of the LPC and LPE were significantly increased. Under the condition of variable importance for the projection (VIP)>1 and P < 0.05, only 28 lipid molecules satisfied the criteria. The lipid molecular markers SM (d36:2), PE (18:2/22:6) and PE (36:3) which were filtered by receiver operating characteristic (ROC) curve (AUC>0.8 or AUC<0.2) were used to identify the neurotoxicity induced by realgar. Therefore, realgar induces neurotoxicity through exacerbating oxidative damage and lipid dysfunction. Providing research basis for the clinical diagnosis and treatment of realgar-induced neurotoxicity.
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Affiliation(s)
- Weiwei Zhang
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Taoguang Huo
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Aihong Li
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Xinyu Wu
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Cong Feng
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Jieyu Liu
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China
| | - Hong Jiang
- Department of Health Laboratory Technology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning, 110122, People's Republic of China.
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Hahn O, Drews LF, Nguyen A, Tatsuta T, Gkioni L, Hendrich O, Zhang Q, Langer T, Pletcher S, Wakelam MJO, Beyer A, Grönke S, Partridge L. A nutritional memory effect counteracts benefits of dietary restriction in old mice. Nat Metab 2019; 1:1059-1073. [PMID: 31742247 PMCID: PMC6861129 DOI: 10.1038/s42255-019-0121-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Dietary restriction (DR) during adulthood can greatly extend lifespan and improve metabolic health in diverse species. However, whether DR in mammals is still effective when applied for the first time at old age remains elusive. Here, we report results of a late-life DR switch experiment employing 800 mice, in which 24 months old female mice were switched from ad libitum (AL) to DR or vice versa. Strikingly, the switch from DR-to-AL acutely increases mortality, whereas the switch from AL-to-DR causes only a weak and gradual increase in survival, suggesting a memory of earlier nutrition. RNA-seq profiling in liver, brown (BAT) and white adipose tissue (WAT) demonstrate a largely refractory transcriptional and metabolic response to DR after AL feeding in fat tissue, particularly in WAT, and a proinflammatory signature in aged preadipocytes, which is prevented by chronic DR feeding. Our results provide evidence for a nutritional memory as a limiting factor for DR-induced longevity and metabolic remodeling of WAT in mammals.
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Affiliation(s)
- Oliver Hahn
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- Cellular Networks and Systems Biology, CECAD, University of Cologne, Cologne, Germany
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lisa F Drews
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - An Nguyen
- Inositide lab, The Babraham Institute, Cambridge, UK
| | - Takashi Tatsuta
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Lisonia Gkioni
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Oliver Hendrich
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Qifeng Zhang
- Inositide lab, The Babraham Institute, Cambridge, UK
| | - Thomas Langer
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Scott Pletcher
- Department of Molecular & Integrative Physiology and the Geriatrics Center, University of Michigan, Ann Arbor, USA
| | | | - Andreas Beyer
- Cellular Networks and Systems Biology, CECAD, University of Cologne, Cologne, Germany.
- Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany.
| | | | - Linda Partridge
- Max Planck Institute for Biology of Ageing, Cologne, Germany.
- Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK.
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34
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Lu S, Liu H, Jin C, Li Q, Guo L. An efficient and comprehensive plant glycerolipids analysis approach based on high-performance liquid chromatography-quadrupole time-of-flight mass spectrometer. PLANT DIRECT 2019; 3:e00183. [PMID: 31832598 PMCID: PMC6858605 DOI: 10.1002/pld3.183] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 10/24/2019] [Accepted: 10/29/2019] [Indexed: 05/14/2023]
Abstract
In past two decades, numerous lipidomics approaches based on mass spectrometry with or without liquid chromatography separation have been established for identification and quantification of lipids in plants. In this study, we developed an efficient and comprehensive lipidomics approach based on UPLC with an Acquity UPLCTM BEH C18 column coupled to TripleTOF using ESI in positive ion mode and MS/MSALL scan for data collection. Lipid extract was prepared to 2 mg/ml solution according to dry tissue weight and mixed with 13 kinds of internal standards including PA, PC, PE, and PG. Each analysis required single injection of 5-10 μl lipid solvent and completed in 32 min. A target method dataset was generated using the LipidView software for prediction of the accurate mass of target lipid species. The dataset was uploaded into the PeakView to create processing datasets to search target lipid species, which achieved batch data processing of multiple samples for lipid species-specific identification and quantification. As proof of concept, we profiled the lipids of different tissues of rapeseed. Thirteen lipid classes including 218 glycerolipids were identified including 46 TAGs, 15 DAGs, 20 PCs, 24 PEs, 13 PGs, 14 PIs, 26 PSs, 12 PAs, 16 MGDGs, 16 DGDGs, 6 LysoPCs, 5 LysoPEs, and 5 LysoPGs. Together, our approach permits the analysis of glycerolipids in plant tissues with simplicity in sample analysis and data processing using UPLC-TripleTOF.
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Affiliation(s)
- Shaoping Lu
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Hongbo Liu
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Cheng Jin
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Qing Li
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Liang Guo
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
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35
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Li W, Song T, Wallrad L, Kudla J, Wang X, Zhang W. Tissue-specific accumulation of pH-sensing phosphatidic acid determines plant stress tolerance. NATURE PLANTS 2019; 5:1012-1021. [PMID: 31451794 DOI: 10.1038/s41477-019-0497-6] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 06/27/2019] [Indexed: 05/28/2023]
Abstract
The signalling lipid phosphatidic acid (PA) is involved in regulating various fundamental biological processes in plants. However, the mechanisms of PA action remain poorly understood because currently available methods for monitoring PA fail to determine the precise spatio-temporal dynamics of this messenger in living cells and tissues of plants. Here, we have developed PAleon, a PA-specific optogenetic biosensor that reports the concentration and dynamics of bioactive PA at the plasma membrane based on Förster resonance energy transfer (FRET). PAleon was sensitive enough to monitor physiological concentrations of PA in living cells and to visualize PA dynamics at subcellular resolution in tissues when they were challenged with abscisic acid (ABA) and salt stress. PAleon bioimaging revealed kinetics and tissue specificity of salt stress-triggered PA accumulation. Compared with wild-type Arabidopsis, the pldα1 mutant lacking phospholipase Dα1 (PLDα1) for PA generation showed delayed and reduced PA accumulation. Comparative analysis of wild type and pldα1 mutant indicated that cellular pH-modulated PA interaction with target proteins and PLD/PA-mediated salt tolerance. Application of the PA biosensor PAleon uncovered specific spatio-temporal PA dynamics in plant tissues. Our findings suggest that PA signalling integrates with cellular pH dynamics to mediate plant response to salt stress.
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Affiliation(s)
- Wenyu Li
- College of Life Sciences, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Tengzhao Song
- College of Life Sciences, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Lukas Wallrad
- Institut für Biologie und Biotechnologie der Pflanzen, Universität Münster, Münster, Germany
| | - Jörg Kudla
- Institut für Biologie und Biotechnologie der Pflanzen, Universität Münster, Münster, Germany
| | - Xuemin Wang
- Department of Biology, University of Missouri, St Louis, MO, USA
- Donald Danforth Plant Science Center, St Louis, MO, USA
| | - Wenhua Zhang
- College of Life Sciences, State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China.
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36
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Gong LL, Yang S, Zhang W, Han FF, Lv YL, Xuan LL, Liu H, Liu LH. Discovery of metabolite profiles of metabolic syndrome using untargeted and targeted LC-MS based lipidomics approach. J Pharm Biomed Anal 2019; 177:112848. [PMID: 31479998 DOI: 10.1016/j.jpba.2019.112848] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/07/2019] [Accepted: 08/28/2019] [Indexed: 12/30/2022]
Abstract
Metabolic syndrome (MetS) is an important risk factor for type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. Biomarkers can provide insight into the mechanism, facilitate early detection, and monitor progression of MetS and its response to therapeutic interventions. To identify potential biomarkers, we applied a non-targeted and targeted lipidomics method to characterize plasma metabolic profile in MetS patients. Metabolic profiling was performed on a non-target set (40 cases and 40 controls) on UHPLC-Q-TOF/MS and target set (80 MetS patients and 80 healthy controls) on UHPLC-Q-orbitrap MS. Using comprehensive screening and validation workflow, we identified a panel of three metabolites including PC(18:1/P-16:0), PC(o-22:3/22:3), PC(P-18:1/16:1). Our results indicated that the identified biomarkers may improve the risk prediction and provide a novel tool for monitoring of the progression of disease and response to treatment in MetS patients.
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Affiliation(s)
- Li-Li Gong
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Song Yang
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wen Zhang
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Fei-Fei Han
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ya-Li Lv
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ling-Ling Xuan
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - He Liu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Li-Hong Liu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
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37
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Vu N, Narvaez-Rivas M, Chen GY, Rewers MJ, Zhang Q. Accurate mass and retention time library of serum lipids for type 1 diabetes research. Anal Bioanal Chem 2019; 411:5937-5949. [PMID: 31280478 DOI: 10.1007/s00216-019-01997-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/07/2019] [Accepted: 06/21/2019] [Indexed: 12/13/2022]
Abstract
Dysregulated lipid species are linked to various disease pathologies and implicated as potential biomarkers for type 1 diabetes (T1D). However, it is challenging to comprehensively profile the blood specimen lipidome with full structural details of every lipid molecule. The commonly used reversed-phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS)-based lipidomics approach is powerful for the separation of individual lipid species, but lipids belonging to different classes may still co-elute and result in ion suppression and misidentification of lipids. Using offline mixed-mode and RPLC-based two-dimensional separations coupled with MS/MS, a comprehensive lipidomic profiling was performed on human sera pooled from healthy and T1D subjects. The elution order of lipid molecular species on RPLC showed good correlations to the total number of carbons in fatty acyl chains and total number of double bonds. This observation together with fatty acyl methyl ester analysis was used to enhance the confidence of identified lipid species. The final T1D serum lipid library database contains 753 lipid molecular species with accurate mass and RPLC retention time uniquely annotated for each of the species. This comprehensive human serum lipid library can serve as a database for high-throughput RPLC-MS-based lipidomic analysis of blood samples related to T1D and other childhood diseases. Graphical abstract.
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Affiliation(s)
- Ngoc Vu
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, 27412, USA.,Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA
| | - Monica Narvaez-Rivas
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA
| | - Guan-Yuan Chen
- Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA
| | - Marian J Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Qibin Zhang
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, 27412, USA. .,Center for Translational Biomedical Research, University of North Carolina at Greensboro, North Carolina Research Campus, Kannapolis, NC, 28082, USA.
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38
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Abstract
Lipids convey both structural and functional properties to eukaryotic membranes. Understanding the basic lipid composition and the dynamics of these important molecules, in the context of cellular membranes, can shed light on signaling, metabolism, trafficking, and even membrane identity. The development of genetically encoded lipid biosensors has allowed for the visualization of specific lipids inside individual, living cells. However, a number of caveats and considerations have emerged with the overexpression of these biosensors. In this Technical Perspective, we provide a current list of available genetically encoded lipid biosensors, together with criteria that determine their veracity. We also provide some suggestions for the optimal utilization of these biosensors when both designing experiments and interpreting results.
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Affiliation(s)
- Rachel C Wills
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261
| | - Brady D Goulden
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261
| | - Gerald R V Hammond
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 16261
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39
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Wang C, Wang C, Liu F, Rainosek S, Patterson TA, Slikker W, Han X. Lipidomics Reveals Changes in Metabolism, Indicative of Anesthetic-Induced Neurotoxicity in Developing Brains. Chem Res Toxicol 2018; 31:825-835. [PMID: 30132657 DOI: 10.1021/acs.chemrestox.8b00186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Numerous studies have demonstrated that treatment with high dose anesthetics for a prolonged duration induces brain injury in infants. However, whether anesthetic treatment leading to neurotoxicity is associated with alterations in lipid metabolism and homeostasis is still unclear. This review first outlines the lipidomics tools for analysis of lipid molecular species that can inform alterations in lipid species after anesthetic exposure. Then the available data indicating anesthetics cause changes in lipid profiles in the brain and serum of infant monkeys in preclinical studies are summarized, and the potential mechanisms leading to the altered lipid metabolism and their association with anesthetic-induced brain injury are also discussed. Finally, whether lipid changes identified in serum of infant monkeys can serve as indicators for the early detection of anesthetic-induced brain injury is described. We believe extensive studies on alterations in lipids after exposure to anesthetics will allow us to better understand anesthetic-induced neurotoxicity, unravel its underlying biochemical mechanisms, and develop powerful biomarkers for early detection/monitoring of the toxicity.
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Affiliation(s)
| | | | | | - Shuo Rainosek
- Department of Anesthesiology , Central Arkansas Veterans Health System , 4300 West Seventh Street, VA 704-110 , Little Rock , Arkansas 72205 , United States
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40
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Chen Y, Ma Z, Shen X, Li L, Zhong J, Min LS, Xu L, Li H, Zhang J, Dai L. Serum Lipidomics Profiling to Identify Biomarkers for Non-Small Cell Lung Cancer. BIOMED RESEARCH INTERNATIONAL 2018; 2018:5276240. [PMID: 30175133 PMCID: PMC6106807 DOI: 10.1155/2018/5276240] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 07/08/2018] [Indexed: 12/22/2022]
Abstract
Non-small cell lung cancer (NSCLC) is the leading cause of cancer death worldwide, which ranks top in both incidence and mortality. To broaden our understanding of the lipid metabolic alterations in NSCLC and to identify potential biomarkers for early diagnosis, we performed nontargeted lipidomics analysis in serum from 66 early-stage NSCLC, 40 lung benign disease patients (LBD), and 40 healthy controls (HC) using Ultrahigh Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry (UHPLC-Q-TOF/MS). The identified biomarker candidates of phosphatidylcholines (PCs) and phosphatidylethanolamines (PEs) were further externally validated in a cohort including 30 early-stage NSCLC, 30 LBD, and 30 HC by a targeted lipidomic analysis. We observed a significantly altered lipid metabolic profile in early-stage NSCLC and identified panels of PCs and PEs to distinguish NSCLC patients and HC. The levels of PCs and PEs were found to be dysregulated in glycerophospholipid metabolism, which was the top altered pathway in early-stage NSCLC. Receiver operating characteristic (ROC) curve analysis revealed that panels of PCs and PEs exhibited good performance in differentiating early-stage NSCLC and HC. The levels of PE(16:0/16:1), PE(16:0/18:3), PE(16:0/18:2), PE(18:0/16:0), PE(17:0/18:2), PE(18:0/17:1), PE(17:0/18:1), PE(20:5/16:0), PE(18:0/18:1), PE(18:1/20:4), PE(18:0/20:3), PC(15:0/18:1), PC(16:1/20:5), and PC(18:0/20:1) in early-stage NSCLC were significantly increased compared with HC (p<0.05). Overall, our study has thus highlighted the power of using comprehensive lipidomic approaches to identify biomarkers and underlying mechanisms in NSCLC.
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Affiliation(s)
- Yingrong Chen
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Zhihong Ma
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Xiongrong Shen
- Departments of Clinical Pharmacology, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Liqin Li
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Jing Zhong
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Li Shan Min
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Limin Xu
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Hongwei Li
- Cardiothoracic Surgery, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Jianbin Zhang
- Cardiothoracic Surgery, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
| | - Licheng Dai
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, Huzhou, Zhejiang 313000, China
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41
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Roszkowska A, Yu M, Bessonneau V, Bragg L, Servos M, Pawliszyn J. Tissue storage affects lipidome profiling in comparison to in vivo microsampling approach. Sci Rep 2018; 8:6980. [PMID: 29725071 PMCID: PMC5934459 DOI: 10.1038/s41598-018-25428-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 04/23/2018] [Indexed: 01/17/2023] Open
Abstract
Low-invasive in vivo solid-phase microextraction (SPME) was used to investigate the lipid profiles of muscle tissue of living fish. Briefly, mixed mode SPME fibers were inserted into the muscle for 20 min extraction, and then the fibers were desorbed in an optimal mixture of solvents. The obtained lipid profile was then compared and contrasted to that obtained with employment of ex vivo SPME and solid-liquid extraction (SLE) from fish muscle tissue belonging to the same group of fish, following a one-year storage period. Ex vivo SPME analysis of stored muscle samples revealed 10-fold decrease in the number of detected molecular features in comparison to in vivo study. Moreover, in vivo microsampling enabled the identification of different classes of bioactive lipids, including fatty acyls, not present in the lipid profile obtained through ex vivo SPME and SLE, suggesting the alterations occurring in the unbound lipid fraction of the system under study during the storage and also indicating the advantage of the in vivo extraction approach.
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Affiliation(s)
- Anna Roszkowska
- Department of Chemistry, University of Waterloo, Waterloo, ON, Canada.,Department of Pharmaceutical Chemistry, Medical University of Gdańsk, Gdańsk, Poland
| | - Miao Yu
- Department of Chemistry, University of Waterloo, Waterloo, ON, Canada
| | | | - Leslie Bragg
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | - Mark Servos
- Department of Biology, University of Waterloo, Waterloo, ON, Canada
| | - Janusz Pawliszyn
- Department of Chemistry, University of Waterloo, Waterloo, ON, Canada.
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42
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Cala M, Aldana J, Sánchez J, Guio J, Meesters RJW. Urinary metabolite and lipid alterations in Colombian Hispanic women with breast cancer: A pilot study. J Pharm Biomed Anal 2018; 152:234-241. [PMID: 29428809 DOI: 10.1016/j.jpba.2018.02.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2017] [Revised: 01/20/2018] [Accepted: 02/04/2018] [Indexed: 01/04/2023]
Abstract
Metabolic biomarkers for breast cancer (BC) prognosis and diagnosis are required, given the increment of BC incidence rates in developing countries and its prevalence in women worldwide. Human urine represents a useful resource of metabolites for biomarker discovery, because it could reflect metabolic alterations caused by a particular pathological state. Furthermore, urine analysis is readily available, it is non-invasive and allows in-time monitoring. Therefore, in present study, a metabolic- and lipid fingerprinting of urine was performed using an analytical multiplatform approach. The study was conducted in order to identify alterated metabolites which can be helpful in the understanding of metabolic alterations driven by BC as well as their potential usage as biomarkers. Urine samples collected from healthy controls and BC subjects were analyzed using LC-MS and GC-MS. Subsequently, significantly altered metabolites were determined by employing univariate and multivariate statistical analyses. An overall decrease of intermediates of the tricarboxylic acid cycle and metabolites belonging to amino acids and nucleotides were observed, along with an increment of lipid-related compounds. Receiver operating characteristic analysis evaluated the combination of dimethylheptanoylcarnitine and succinic acid as potential urinary markers, achieving a sensitivity of 93% and a specificity of 86%. The present analytical multiplatform approach enabled a wide coverage of urine metabolites that revealed significant alterations in BC samples, demonstrating its usefulness for biomarker discovery in selected populations.
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Affiliation(s)
- Mónica Cala
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Cra. 1 No. 18ª-10, 111711, Bogotá D.C., Colombia
| | - Julian Aldana
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Cra. 1 No. 18ª-10, 111711, Bogotá D.C., Colombia
| | - Julián Sánchez
- Liga contra el Cáncer Seccional Bogotá, Calle 56 No. 6 - 28, 110231, Bogotá, Colombia
| | - José Guio
- Liga contra el Cáncer Seccional Bogotá, Calle 56 No. 6 - 28, 110231, Bogotá, Colombia
| | - Roland J W Meesters
- Department of Chemistry, Grupo de Investigación en Química Analítica y Bioanalítica (GABIO), Universidad de los Andes, Cra. 1 No. 18ª-10, 111711, Bogotá D.C., Colombia.
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43
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Cano A, Mariño Z, Millet O, Martínez-Arranz I, Navasa M, Falcón-Pérez JM, Pérez-Cormenzana M, Caballería J, Embade N, Forns X, Bosch J, Castro A, Mato JM. A Metabolomics Signature Linked To Liver Fibrosis In The Serum Of Transplanted Hepatitis C Patients. Sci Rep 2017; 7:10497. [PMID: 28874799 PMCID: PMC5585246 DOI: 10.1038/s41598-017-10807-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 08/11/2017] [Indexed: 12/17/2022] Open
Abstract
Liver fibrosis must be evaluated in patients with hepatitis C virus (HCV) after liver transplantation because its severity affects their prognosis and the recurrence of HCV. Since invasive biopsy is still the gold standard to identify patients at risk of graft loss from rapid fibrosis progression, it becomes crucial the development of new accurate, non-invasive methods that allow repetitive examination of the patients. Therefore, we have developed a non-invasive, accurate model to distinguish those patients with different liver fibrosis stages. Two hundred and three patients with HCV were histologically classified (METAVIR) into five categories of fibrosis one year after liver transplantation. In this cross-sectional study, patients at fibrosis stages F0-F1 (n = 134) were categorised as “slow fibrosers” and F2-F4 (n = 69) as “rapid fibrosers”. Chloroform/methanol serum extracts were analysed by reverse ultra-high performance liquid chromatography coupled to mass spectrometry. A diagnostic model was built through linear discriminant analyses. An algorithm consisting of two sphingomyelins and two phosphatidylcholines accurately classifies rapid and slow fibrosers after transplantation. The proposed model yielded an AUROC of 0.92, 71% sensitivity, 85% specificity, and 84% accuracy. Moreover, specific bile acids and sphingomyelins increased notably along with liver fibrosis severity, differentiating between rapid and slow fibrosers.
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Affiliation(s)
- Ainara Cano
- OWL, Parque Tecnológico de Bizkaia, Derio, 48160, Bizkaia, Spain.
| | - Zoe Mariño
- Liver Unit, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd); Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Oscar Millet
- Metabolomic Unit, CIC bioGUNE, CIBERehd, Parque Tecnológico de Bizkaia, Derio, 48160, Spain.,Ikerbasque, Basque Foundation for Science, Bilbao, Bizkaia, Spain
| | | | - Miquel Navasa
- Liver Unit, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd); Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Juan Manuel Falcón-Pérez
- Metabolomic Unit, CIC bioGUNE, CIBERehd, Parque Tecnológico de Bizkaia, Derio, 48160, Spain.,Ikerbasque, Basque Foundation for Science, Bilbao, Bizkaia, Spain
| | | | - Joan Caballería
- Liver Unit, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd); Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Nieves Embade
- Metabolomic Unit, CIC bioGUNE, CIBERehd, Parque Tecnológico de Bizkaia, Derio, 48160, Spain
| | - Xavier Forns
- Liver Unit, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd); Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Jaume Bosch
- Liver Unit, Hospital Clínic, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd); Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Barcelona, Spain
| | - Azucena Castro
- OWL, Parque Tecnológico de Bizkaia, Derio, 48160, Bizkaia, Spain
| | - José María Mato
- Metabolomic Unit, CIC bioGUNE, CIBERehd, Parque Tecnológico de Bizkaia, Derio, 48160, Spain
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44
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Wu J, Wu Q, Wang D, Kong J, Dai W, Wang X, Yu X. Common lipid features of lethal ventricular tarchyarrhythmias (LVTAs) induced by myocardial infarction and myocardial ion channel diseases. Sci Rep 2017; 7:4220. [PMID: 28652611 PMCID: PMC5484696 DOI: 10.1038/s41598-017-04620-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 06/06/2017] [Indexed: 02/05/2023] Open
Abstract
Lethal ventricular tachyarrhythmia (LVTA) is the most prevalent electrophysiological underpinning of sudden cardiac death (SCD), a condition that occurs in response to multiple pathophysiological abnormalities. The aim of this study was to identify common lipid features of LVTA that were induced by distinct pathophysiological conditions, thereby facilitating the discovery of novel SCD therapeutic targets. Two rat LVTA-SCD models were established to mimic myocardial infarction (MI) and myocardial ion channel diseases. Myocardial and serum specimens were analyzed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS)-based lipidomics. The lipid profiles of the myocardial and serum specimens were similar between the models. Eleven myocardial lipid classes were altered, including downregulations of: cardiolipin, ceramide, phosphatidylinositol, phosphatidylethanolamine, triacylglycerol, diacylglycerol, phosphatidylglycerol, lysophosphatidylethanolamine and phosphatidylserine, and upregulations of: lysophosphatidylcholine and phosphatidic acid. Serum concentrations of triacylglycerol, lysophosphatidylcholine, phosphatidylethanolamine and phosphatidylinositol were also altered. Alterations of lipids in paired myocardia and sera were closely correlated. Cardiolipin 70:5, cardiolipin 74:9 and ceramide d34:2 were tested as potential biomarkers of LVTA. The results indicate that there are common LVTA lipid profiles induced by MI and myocardial ion channel diseases, potentially offering novel LVTA-SCD therapeutic targets.
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Affiliation(s)
- Jiayan Wu
- Department of Forensic Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Qian Wu
- Shanghai Center for Bioinformation Technology, Shanghai, 201203, China
| | - Dian Wang
- Department of Forensic Medicine, Shantou University Medical College, Shantou, 515041, China.
| | - Jing Kong
- Department of Forensic Medicine, Shantou University Medical College, Shantou, 515041, China
| | - Wentao Dai
- Shanghai Center for Bioinformation Technology, Shanghai, 201203, China
| | - Xingxing Wang
- 2nd Affiliated Hospital, Affiliated Hospital, Shantou University Medical College, Shantou, 515041, China
| | - Xiaojun Yu
- Department of Forensic Medicine, Shantou University Medical College, Shantou, 515041, China
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Péter M, Glatz A, Gudmann P, Gombos I, Török Z, Horváth I, Vígh L, Balogh G. Metabolic crosstalk between membrane and storage lipids facilitates heat stress management in Schizosaccharomyces pombe. PLoS One 2017; 12:e0173739. [PMID: 28282432 PMCID: PMC5345867 DOI: 10.1371/journal.pone.0173739] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 02/24/2017] [Indexed: 12/28/2022] Open
Abstract
Cell membranes actively participate in stress sensing and signalling. Here we present the first in-depth lipidomic analysis to characterize alterations in the fission yeast Schizosaccharomyces pombe in response to mild heat stress (HS). The lipidome was assessed by a simple one-step methanolic extraction. Genetic manipulations that altered triglyceride (TG) content in the absence or presence of HS gave rise to distinct lipidomic fingerprints for S. pombe. Cells unable to produce TG demonstrated long-lasting growth arrest and enhanced signalling lipid generation. Our results reveal that metabolic crosstalk between membrane and storage lipids facilitates homeostatic maintenance of the membrane physical/chemical state that resists negative effects on cell growth and viability in response to HS. We propose a novel stress adaptation mechanism in which heat-induced TG synthesis contributes to membrane rigidization by accommodating unsaturated fatty acids of structural lipids, enabling their replacement by newly synthesized saturated fatty acids.
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Affiliation(s)
- Mária Péter
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Attila Glatz
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Péter Gudmann
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Imre Gombos
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Zsolt Török
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Ibolya Horváth
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - László Vígh
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
| | - Gábor Balogh
- Institute of Biochemistry, Biological Research Centre, Hungarian Academy of Sciences, Szeged, Hungary
- * E-mail:
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46
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Han X. Lipidomics for precision medicine and metabolism: A personal view. Biochim Biophys Acta Mol Cell Biol Lipids 2017; 1862:804-807. [PMID: 28238864 DOI: 10.1016/j.bbalip.2017.02.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 02/18/2017] [Accepted: 02/21/2017] [Indexed: 12/24/2022]
Affiliation(s)
- Xianlin Han
- Center for Metabolic Origins of Disease, Sanford Burnham Prebys Medical Discovery Institute, 6400 Sanger Road, Orlando, FL 32827, USA.
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