1
|
Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
Collapse
|
2
|
Bgatova N, Taskaeva I, Makarova V. Influence of distant tumor growth and lithium treatment on ultrastructural organization of kidney proximal tubules. Ultrastruct Pathol 2021; 45:212-223. [PMID: 34304707 DOI: 10.1080/01913123.2021.1954735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Tumor growth causes significant metabolic disturbances, tissue damage and the accumulation of toxic metabolites in the blood. The kidney is an organ with highly developed capillary network and therefore can be exposed to toxic metabolites. Here, the proximal renal tubule cells were studied by immunohistochemistry and electron microscopy, on a model of hepatocellular carcinoma-29 growth in the thigh of CBA mice and lithium carbonate treatment. An increase of autophagy markers (LC3 and LAMP-1) expression was revealed under conditions of distant tumor growth and especially after lithium carbonate treatment. Under conditions of distant tumor we found decrease of numerical density of endosomes and dense apical tubules in the apical part of the cells. In the perinuclear cell compartment, there were swelling of mitochondria and a decrease in their cristae, a decrease of volume density of rough endoplasmic reticulum and the presence of autophagosomes and autolysosomes. The use of lithium carbonate led to an increase of autophagic structures volume density and of dense apical tubules numerical density in the proximal tubule cells. It is possible that the activation of autophagy by lithium can promote an increase in protein recycling in the proximal tubule cells.
Collapse
Affiliation(s)
- Nataliya Bgatova
- Laboratory of Ultrastructural Research, Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Iuliia Taskaeva
- Laboratory of Ultrastructural Research, Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Viktoriia Makarova
- Laboratory of Ultrastructural Research, Research Institute of Clinical and Experimental Lymphology - Branch of the Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| |
Collapse
|
3
|
Esperança-Martins M, Fernandes I, Soares do Brito J, Macedo D, Vasques H, Serafim T, Costa L, Dias S. Sarcoma Metabolomics: Current Horizons and Future Perspectives. Cells 2021; 10:1432. [PMID: 34201149 PMCID: PMC8226523 DOI: 10.3390/cells10061432] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/29/2021] [Accepted: 06/04/2021] [Indexed: 12/12/2022] Open
Abstract
The vast array of metabolic adaptations that cancer cells are capable of assuming, not only support their biosynthetic activity, but also fulfill their bioenergetic demands and keep their intracellular reduction-oxidation (redox) balance. Spotlight has recently been placed on the energy metabolism reprogramming strategies employed by cancer cells to proliferate. Knowledge regarding soft tissue and bone sarcomas metabolome is relatively sparse. Further characterization of sarcoma metabolic landscape may pave the way for diagnostic refinement and new therapeutic target identification, with benefit to sarcoma patients. This review covers the state-of-the-art knowledge on cancer metabolomics and explores in detail the most recent evidence on soft tissue and bone sarcoma metabolomics.
Collapse
Affiliation(s)
- Miguel Esperança-Martins
- Centro Hospitalar Universitário Lisboa Norte, Medical Oncology Department, Hospital Santa Maria, 1649-028 Lisboa, Portugal; (I.F.); (L.C.)
- Vascular Biology & Cancer Microenvironment Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (T.S.); (S.D.)
- Translational Oncobiology Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
| | - Isabel Fernandes
- Centro Hospitalar Universitário Lisboa Norte, Medical Oncology Department, Hospital Santa Maria, 1649-028 Lisboa, Portugal; (I.F.); (L.C.)
- Translational Oncobiology Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
- Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (J.S.d.B.); (H.V.)
| | - Joaquim Soares do Brito
- Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (J.S.d.B.); (H.V.)
- Centro Hospitalar Universitário Lisboa Norte, Orthopedics and Traumatology Department, Hospital Santa Maria, 1649-028 Lisboa, Portugal
| | - Daniela Macedo
- Medical Oncology Department, Hospital Lusíadas Lisboa, 1500-458 Lisboa, Portugal;
| | - Hugo Vasques
- Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (J.S.d.B.); (H.V.)
- General Surgery Department, Instituto Português de Oncologia de Lisboa Francisco Gentil, 1099-023 Lisboa, Portugal
| | - Teresa Serafim
- Vascular Biology & Cancer Microenvironment Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (T.S.); (S.D.)
| | - Luís Costa
- Centro Hospitalar Universitário Lisboa Norte, Medical Oncology Department, Hospital Santa Maria, 1649-028 Lisboa, Portugal; (I.F.); (L.C.)
- Translational Oncobiology Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal
- Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (J.S.d.B.); (H.V.)
| | - Sérgio Dias
- Vascular Biology & Cancer Microenvironment Lab, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (T.S.); (S.D.)
- Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisboa, Portugal; (J.S.d.B.); (H.V.)
| |
Collapse
|
4
|
Yuan Y, Zhao J, Li T, Ji Z, Xin Y, Zhang S, Qin F, Zhao L. Integrative metabolic profile of myelodysplastic syndrome based on UHPLC-MS. Biomed Chromatogr 2021; 35:e5136. [PMID: 33844331 DOI: 10.1002/bmc.5136] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 03/22/2021] [Accepted: 04/01/2021] [Indexed: 01/05/2023]
Abstract
Myelodysplastic syndrome (MDS) is a neoplastic disease originating from hematopoietic stem cells. Currently, hematopoietic stem cell transplantation (HSCT) is the most effective cure, although lenalidomide, azacytidine, and decitabine have been applied to relieve symptoms of MDS. The purpose of this study was to evaluate the changes in endogenous metabolites by applying a UHPLC-MS (ultra-high-performance liquid chromatography-MS) metabolomics approach and to investigate metabolic pathways related to MDS. An untargeted metabolomics approach based on UHPLC-MS in combination with multivariate data analysis, including partial least squares discrimination analysis and orthogonal partial least squares discriminant analysis, was established to investigate potential biomarkers in the plasma of MDS patients. As a result, 29 biomarkers were identified to distinguish between MDS patients, HSCT patients, and healthy controls, which were mainly related to inflammation regulation, amino acid metabolism, fatty acid metabolism, and energy metabolism. To our knowledge, this is the first time where plasma metabolomics was combined with HSCT to study the pathogenesis and therapeutic target of MDS. The identification of biomarkers and analysis of metabolic pathways could offer the possibility of discovering new therapeutic targets for MDS in the future.
Collapse
Affiliation(s)
- Yunxia Yuan
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| | - Jing Zhao
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| | - Taifeng Li
- Department of Pharmacy, Peking University People's Hospital, Beijing, P. R. China
| | - Zhengchao Ji
- Department of Clinical Laboratory, The First Hospital of Jilin University, Changchun, Jilin Province, P. R. China
| | - Ying Xin
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| | - Siyao Zhang
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| | - Feng Qin
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| | - Longshan Zhao
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, P. R. China
| |
Collapse
|