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Liu S, Yang B, Liang Y, Xiao Y, Fang J. Prospect of phytoremediation combined with other approaches for remediation of heavy metal-polluted soils. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:16069-16085. [PMID: 32173779 DOI: 10.1007/s11356-020-08282-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 03/02/2020] [Indexed: 04/16/2023]
Abstract
Accumulation of heavy metals in agricultural soils due to human production activities-mining, fossil fuel combustion, and application of chemical fertilizers/pesticides-results in severe environmental pollution. As the transmission of heavy metals through the food chain and their accumulation pose a serious risk to human health and safety, there has been increasing attention in the investigation of heavy metal pollution and search for effective soil remediation technologies. Here, we summarized and discussed the basic principles, strengths and weaknesses, and limitations of common standalone approaches such as those based on physics, chemistry, and biology, emphasizing their incompatibility with large-scale applications. Moreover, we explained the effects, advantages, and disadvantages of the combinations of common single repair approaches. We highlighted the latest research advances and prospects in phytoremediation-chemical, phytoremediation-microbe, and phytoremediation-genetic engineering combined with remediation approaches by changing metal availability, improving plant tolerance, promoting plant growth, improving phytoextraction and phytostabilization, etc. We then explained the improved safety and applicability of phytoremediation combined with other repair approaches compared to common standalone approaches. Finally, we established a prospective research direction of phytoremediation combined with multi-technology repair strategy.
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Affiliation(s)
- Shuming Liu
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- Hunan Engineering Laboratory for Pollution Control and Waste Utilization in Swine Production, Changsha, 410128, People's Republic of China
- Key Laboratory for Rural Ecosystem Health in Dongting Lake Area of Hunan Province, Changsha, 410128, People's Republic of China
| | - Bo Yang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- Hunan Engineering Laboratory for Pollution Control and Waste Utilization in Swine Production, Changsha, 410128, People's Republic of China
- Key Laboratory for Rural Ecosystem Health in Dongting Lake Area of Hunan Province, Changsha, 410128, People's Republic of China
| | - Yunshan Liang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- Hunan Engineering Laboratory for Pollution Control and Waste Utilization in Swine Production, Changsha, 410128, People's Republic of China
- Key Laboratory for Rural Ecosystem Health in Dongting Lake Area of Hunan Province, Changsha, 410128, People's Republic of China
| | - Yunhua Xiao
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China.
- Hunan Engineering Laboratory for Pollution Control and Waste Utilization in Swine Production, Changsha, 410128, People's Republic of China.
- Key Laboratory for Rural Ecosystem Health in Dongting Lake Area of Hunan Province, Changsha, 410128, People's Republic of China.
| | - Jun Fang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China.
- Hunan Engineering Laboratory for Pollution Control and Waste Utilization in Swine Production, Changsha, 410128, People's Republic of China.
- Key Laboratory for Rural Ecosystem Health in Dongting Lake Area of Hunan Province, Changsha, 410128, People's Republic of China.
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Gómez-Gómez B, Pérez-Corona T, Mozzi F, Pescuma M, Madrid Y. Silac-based quantitative proteomic analysis of Lactobacillus reuteri CRL 1101 response to the presence of selenite and selenium nanoparticles. J Proteomics 2019; 195:53-65. [DOI: 10.1016/j.jprot.2018.12.025] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 11/29/2018] [Accepted: 12/25/2018] [Indexed: 12/20/2022]
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Fernández MN, Muñoz-Olivas R, Luque-Garcia JL. SILAC-based quantitative proteomics identifies size-dependent molecular mechanisms involved in silver nanoparticles-induced toxicity. Nanotoxicology 2019; 13:812-826. [DOI: 10.1080/17435390.2019.1579374] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- M. N. Fernández
- Faculty of Chemical Sciences, Department of Analytical Chemistry, Complutense University of Madrid, Madrid, Spain
| | - R. Muñoz-Olivas
- Faculty of Chemical Sciences, Department of Analytical Chemistry, Complutense University of Madrid, Madrid, Spain
| | - J. L. Luque-Garcia
- Faculty of Chemical Sciences, Department of Analytical Chemistry, Complutense University of Madrid, Madrid, Spain
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Shao Y, Wang L, Langlois P, Mironov G, Chan HM. Proteome changes in methylmercury-exposed mouse primary cerebellar granule neurons and astrocytes. Toxicol In Vitro 2019; 57:96-104. [PMID: 30776503 DOI: 10.1016/j.tiv.2019.02.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 01/14/2019] [Accepted: 02/14/2019] [Indexed: 11/29/2022]
Abstract
Methylmercury (MeHg) is a neurotoxicant, with the cerebellum as the main target of toxicity; however, the toxic effects of MeHg on specific cell types remain unclear. Here, primary cerebellar granule neurons (CGNs) and cerebellar astrocytes were isolated and analyzed for total mercury accumulation, cellular reactive oxygen species (ROS) production, and whole-cell proteome expression after exposure to 0-10 μM MeHg for 24 h. Intracellular mercury and ROS levels showed dose-dependent increases. Mercury accumulation was greater in CGNs than astrocytes. The proteomic analysis identified a total of 1966 and 3214 proteins in CGNs and astrocytes, among which 183 and 262 proteins were differentially expressed after mercury exposure, respectively. Enrichment analysis revealed mitochondrial-associated organelles as the main targets of MeHg in both cell types. Whereas multiple functions/pathways were affected in CGNs, the oxidation-reduction process was the most significantly changed function/pathway in astrocytes. CGNs were more sensitive to MeHg-mediated neurotoxicity than astrocytes. The two cell types showed distinct mechanistic responses to MeHg. In astrocytes, the mitochondrion was the primary target of toxicity, resulting in increases in oxidation-reduction process responses. In CGNs, the neurotrophin signaling pathway, cytoskeleton, cAMP signaling pathway, and thyroid hormone signaling pathway were affected.
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Affiliation(s)
- Yueting Shao
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Lewis Wang
- Department of Biology, University of Ottawa, Canada
| | | | - Gleb Mironov
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, Canada
| | - Hing Man Chan
- Department of Biology, University of Ottawa, Canada.
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Karri V, Ramos D, Martinez JB, Odena A, Oliveira E, Coort SL, Evelo CT, Mariman ECM, Schuhmacher M, Kumar V. Differential protein expression of hippocampal cells associated with heavy metals (Pb, As, and MeHg) neurotoxicity: Deepening into the molecular mechanism of neurodegenerative diseases. J Proteomics 2018; 187:106-125. [PMID: 30017948 DOI: 10.1016/j.jprot.2018.06.020] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 06/26/2018] [Accepted: 06/26/2018] [Indexed: 12/29/2022]
Abstract
Chronic exposure to heavy metals such as Pb, As, and MeHg can be associated with an increased risk of developing neurodegenerative diseases. Our in vitro bioassays results showed the potency of heavy metals in the order of Pb < As < MeHg on hippocampal cells. The main objective of this study was combining in vitro label free proteomics and systems biology approach for elucidating patterns of biological response, discovering underlying mechanisms of Pb, As, and MeHg toxicity in hippocampal cells. The omics data was refined by using different filters and normalization and multilevel analysis tools were employed to explore the data visualization. The functional and pathway visualization was performed by using Gene ontology and PathVisio tools. Using these all integrated approaches, we identified significant proteins across treatments within the mitochondrial dysfunction, oxidative stress, ubiquitin proteome dysfunction, and mRNA splicing related to neurodegenerative diseases. The systems biology analysis revealed significant alterations in proteins implicated in Parkinson's disease (PD) and Alzheimer's disease (AD). The current proteomics analysis of three metals support the insight into the proteins involved in neurodegeneration and the altered proteins can be useful for metal-specific biomarkers of exposure and its adverse effects. SIGNIFICANCE The proteomics techniques have been claimed to be more sensitive than the conventional toxicological assays, facilitating the measurement of responses to heavy metals (Pb, As, and MeHg) exposure before obvious harm has occurred demonstrating their predictive value. Also, proteomics allows for the comparison of responses between Pb, As, and MeHg metals, permitting the evaluation of potency differences hippocampal cells of the brain. Hereby, the molecular information provided by pathway and gene functional analysis can be used to develop a more thorough understanding of each metal mechanism at the protein level for different neurological adverse outcomes (e.g. Parkinson's disease, Alzheimer's diseases). Efforts are put into developing proteomics based toxicity testing methods using in vitro models for improving human risk assessment. Some of the key proteins identified can also potentially be used as biomarkers in epidemiologic studies. These heavy metal response patterns shed new light on the mechanisms of mRNA splicing, ubiquitin pathway role in neurodegeneration, and can be useful for the development of molecular biomarkers of heavy metals exposure.
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Affiliation(s)
- Venkatanaidu Karri
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - David Ramos
- Plataforma de Proteòmica, Parc Científic de Barcelona, C/Baldiri Reixac, 10-12, 08028 Barcelona, Spain
| | - Julia Bauzá Martinez
- Plataforma de Proteòmica, Parc Científic de Barcelona, C/Baldiri Reixac, 10-12, 08028 Barcelona, Spain
| | - Antonia Odena
- Plataforma de Proteòmica, Parc Científic de Barcelona, C/Baldiri Reixac, 10-12, 08028 Barcelona, Spain
| | - Eliandre Oliveira
- Unidad de Toxicologia, Parc Científic de Barcelona, C/Baldiri Reixac, 10-12, 08028 Barcelona, Spain
| | - Susan L Coort
- Department of Bioinformatics, BiGCaT, NUTRIM, Maastricht University, 6229, ER, Maastricht, the Netherlands
| | - Chris T Evelo
- Department of Bioinformatics, BiGCaT, NUTRIM, Maastricht University, 6229, ER, Maastricht, the Netherlands
| | - Edwin C M Mariman
- Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Marta Schuhmacher
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - Vikas Kumar
- Environmental Engineering Laboratory, Departament d'Enginyeria Quimica, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain; IISPV, Hospital Universitari Sant Joan de Reus, Universitat Rovira I Virgili, Reus, Spain.
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Cabezas-Sanchez P, Garcia-Calvo E, Camara C, Luque-Garcia JL. A quantitative proteomic approach for unveiling novel mechanisms associated with MeHg-induced toxicity: effects on the methylation cycle. Toxicol Res (Camb) 2016; 5:291-302. [PMID: 30090345 PMCID: PMC6062361 DOI: 10.1039/c5tx00354g] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2015] [Accepted: 11/09/2015] [Indexed: 01/07/2023] Open
Abstract
Methylmercury (MeHg) is still a major threat for human health and the environment due to its extremely high toxicity that mainly affects the nervous system. Despite the great efforts made during the last few decades, the specific molecular mechanisms involved in MeHg-induced toxicity are still not completely unveiled. In this work we explored such mechanisms using neuroblastoma cells (Neuro-2a) and SILAC as a quantitative proteomic approach. We found that exposure of Neuro-2a cells to 2 mg L-1 MeHg for 8 h decreased the cell viability to 70% and caused significant changes in the morphology of the cells, specially regarding neurite development. Our proteomic results showed different proteins altered upon MeHg exposure that helped to identify pathways related to the toxicity exerted by MeHg. Specifically, we have found that MeHg affects the methylation cycle by inhibiting the expression of key enzymes including MTHFD1 and MTR. Moreover, we demonstrate that inhibition of MTHFD1 is not observed when exposing the cells to inorganic Hg and other heavy metals such as Pb or Cu. Thus, this work sets the stage for dissecting a specific molecular mechanism for MeHg-induced toxicity.
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Affiliation(s)
- Pablo Cabezas-Sanchez
- Department of Analytical Chemistry , Faculty of Chemistry , Complutense University of Madrid , 28040 , Madrid , Spain . ; Tel: +34913944318
| | - Estefania Garcia-Calvo
- Department of Analytical Chemistry , Faculty of Chemistry , Complutense University of Madrid , 28040 , Madrid , Spain . ; Tel: +34913944318
| | - Carmen Camara
- Department of Analytical Chemistry , Faculty of Chemistry , Complutense University of Madrid , 28040 , Madrid , Spain . ; Tel: +34913944318
| | - Jose L Luque-Garcia
- Department of Analytical Chemistry , Faculty of Chemistry , Complutense University of Madrid , 28040 , Madrid , Spain . ; Tel: +34913944318
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Alfonso-Garrido J, Garcia-Calvo E, Luque-Garcia JL. Sample preparation strategies for improving the identification of membrane proteins by mass spectrometry. Anal Bioanal Chem 2015; 407:4893-905. [PMID: 25967148 DOI: 10.1007/s00216-015-8732-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2015] [Revised: 04/15/2015] [Accepted: 04/22/2015] [Indexed: 12/31/2022]
Abstract
Despite enormous advances in the mass spectrometry and proteomics fields during the last two decades, the analysis of membrane proteins still remains a challenge for the proteomic community. Membrane proteins play a wide number of key roles in several cellular events, making them relevant target molecules to study in a significant variety of investigations (e.g., cellular signaling, immune surveillance, drug targets, vaccine candidates, etc.). Here, we critically review the several attempts that have been carried out on the different steps of the sample preparation procedure to improve and modify existing conventional proteomic strategies in order to make them suitable for the study of membrane proteins. We also revise novel techniques that have been designed to tackle the difficult but relevant task of identifying and characterizing membrane proteins.
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Affiliation(s)
- Javier Alfonso-Garrido
- Department of Analytical Chemistry, Faculty of Chemistry, Complutense University of Madrid, Av. Complutense s/n, 28004, Madrid, Spain
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Palomo M, Gutiérrez AM, Pérez-Conde MC, Cámara C, Madrid Y. Se metallomics during lactic fermentation of Se-enriched yogurt. Food Chem 2014; 164:371-9. [DOI: 10.1016/j.foodchem.2014.05.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Revised: 04/10/2014] [Accepted: 05/04/2014] [Indexed: 10/25/2022]
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Rabilloud T, Lescuyer P. Proteomics in mechanistic toxicology: History, concepts, achievements, caveats, and potential. Proteomics 2014; 15:1051-74. [DOI: 10.1002/pmic.201400288] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2014] [Revised: 07/25/2014] [Accepted: 08/25/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Thierry Rabilloud
- Laboratory of Chemistry and Biology of Metals; CNRS UMR; 5249 Grenoble France
- Laboratory of Chemistry and Biology of Metals; Université Grenoble Alpes; Grenoble France
- Laboratory of Chemistry and Biology of Metals; CEA Grenoble; iRTSV/CBM; Grenoble France
| | - Pierre Lescuyer
- Department of Human Protein Sciences; Clinical Proteomics and Chemistry Group; Geneva University; Geneva Switzerland
- Toxicology and Therapeutic Drug Monitoring Laboratory; Department of Genetic and Laboratory Medicine; Geneva University Hospitals; Geneva Switzerland
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Analytical and bioanalytical approaches to unravel the selenium–mercury antagonism: A review. Anal Chim Acta 2013; 801:1-13. [DOI: 10.1016/j.aca.2013.08.043] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2013] [Revised: 07/24/2013] [Accepted: 08/27/2013] [Indexed: 01/24/2023]
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Cuello S, Ximénez-Embún P, Ruppen I, Schonthaler HB, Ashman K, Madrid Y, Luque-Garcia JL, Cámara C. Analysis of protein expression in developmental toxicity induced by MeHg in zebrafish. Analyst 2012; 137:5302-11. [DOI: 10.1039/c2an35913h] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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