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Spinell T, Kröger A, Freitag L, Würfl G, Lauseker M, Hickel R, Kebschull M. Dental implant material related changes in molecular signatures in peri-implantitis - A systematic review of omics in-vivo studies. Dent Mater 2023; 39:1150-1158. [PMID: 37839998 DOI: 10.1016/j.dental.2023.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/22/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE Titanium particles have been shown in in-vitro studies to lead to the activation of specific pathways, this work aims to systematically review in- vivo studies examining peri-implant and periodontal tissues at the transcriptome, proteome, epigenome and genome level to reveal implant material-related processes favoring peri-implantitis development investigated in animal and human trials. METHODS Inquiring three literature databases (Medline, Embase, Cochrane) a systematic search based on a priori defined PICOs was conducted: '-omics' studies comparing molecular signatures in healthy and infected peri-implant sites and/or healthy and periodontitis-affected teeth in animals/humans. After risk of bias assessments, lists of differentially expressed genes and results of functional enrichment analyses were compiled whenever possible. RESULTS Out of 2187 screened articles 9 publications were deemed eligible. Both healthy and inflamed peri-implant tissues showed distinct gene expression patterns compared to healthy/diseased periodontal tissues in animal (n = 4) or human studies (n = 5), with immune response, bone metabolism and oxidative stress being affected the most. Due to the lack of available re-analyzable data and inconsistency in methodology of the eligible studies, integrative analyses on differential gene expression were not applicable CONCLUSION: The differences of transcriptomic signatures in between peri-implant lesions compared to periodontal tissue might be related to titanium particles arising from dental implants and are in line with the in-vitro data recently published by our group. Nevertheless, limitations emerge from small sample sizes of included studies and insufficient publication of re-analyzable data.
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Affiliation(s)
- Thomas Spinell
- Department of Conservative Dentistry and Periodontology, University Hospital, Ludwig-Maximilians-University, Goethestr. 70, D-80336 Munich, Germany.
| | - Annika Kröger
- School of Dentistry, Institute of Clinical Sciences, University of Birmingham, Birmingham, UK; NIHR Birmingham Biomedical Research Centre, Birmingham, UK
| | - Lena Freitag
- Department of Conservative Dentistry and Periodontology, University Hospital, Ludwig-Maximilians-University, Goethestr. 70, D-80336 Munich, Germany
| | | | - Michael Lauseker
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany
| | - Reinhard Hickel
- Department of Conservative Dentistry and Periodontology, University Hospital, Ludwig-Maximilians-University, Goethestr. 70, D-80336 Munich, Germany
| | - Moritz Kebschull
- Birmingham Community Healthcare NHS Foundation Trust, Birmingham, UK; Division of Periodontics, Section of Oral, Diagnostic and Rehabilitation Sciences, Columbia University Collegeof Dental Medicine, New York, NY, United States
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Zhang J, Qin M, Yang D, Yuan L, Zou X, Dai W, Zhang H, Wang X, He B, Zhang Q. Nanoprotein Interaction Atlas Reveals the Transport Pathway of Gold Nanoparticles across Epithelium and Its Association with Wnt/β-Catenin Signaling. ACS NANO 2021; 15:17977-17997. [PMID: 34672537 DOI: 10.1021/acsnano.1c06452] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
A tremendous number of proteins participate in the delivery and transport process of nanomedicines. Nanoprotein interactions not only mediate drug delivery but also determine drug safety. In the field of biomedical sciences, the epithelial barrier is a huge challenge for gastrointestinal, intratracheal, intranasal, vaginal, and intrauterine delivery of nanomedicines. However, the molecular mechanisms by which nanomedicines cross tissue or cell barriers are not well understood. Here, we explored the nanoprotein interactions during the transcytosis of nanoparticles across the epithelial barrier by focusing on the transport pathway and mechanisms. Due to the limitations of traditional methods in resolving nanoprotein interactions, we developed a backward analysis strategy. By simultaneously analyzing the protein corona on the particle surface and the cellular response after transcytosis, we integrated the information on both directly and indirectly interacting proteins, establishing a holistic nanoprotein interaction atlas. It revealed the dominant role of the EV/ER/Golgi/SV pathway in the transcytosis of nanoparticles. More importantly, based on the established atlas, we discovered the association of Wnt/β-catenin signaling with nanoparticle transportation. The endocytosis for entering cells and exocytosis/transcytosis for leaving cells were differently regulated by the Wnt pathway. Notably, this regulatory effect was dependent on the particle size. Bigger nanoparticles departed from cells through the exocytosis pathway faster because of the specific bridging effect on the Wnt-Frizzled interaction and the feedback loop construction based on the exosomes. This mechanism gives an interpretation at the molecular level to the transcytosis dilemma of larger nanoparticles. Moreover, the size-dependent Wnt/β-catenin signaling pathway provides a promising regulatory and screening platform for the transportation of different nanomedicines through the epithelial barrier.
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Affiliation(s)
- Jian Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Mengmeng Qin
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Dan Yang
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
| | - Lan Yuan
- Centre of Medical and Health Analysis, Peking University, Beijing 100191, China
| | - Xiajuan Zou
- Centre of Medical and Health Analysis, Peking University, Beijing 100191, China
| | - Wenbing Dai
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Hua Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Xueqing Wang
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Bing He
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Qiang Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China
- Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery Systems, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
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Engin AB. Combined Toxicity of Metal Nanoparticles: Comparison of Individual and Mixture Particles Effect. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1275:165-193. [PMID: 33539016 DOI: 10.1007/978-3-030-49844-3_7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Toxicity of metal nanoparticles (NPs) are closely associated with increasing intracellular reactive oxygen species (ROS) and the levels of pro-inflammatory mediators. However, NP interactions and surface complexation reactions alter the original toxicity of individual NPs. To date, toxicity studies on NPs have mostly been focused on individual NPs instead of the combination of several species. It is expected that the amount of industrial and highway-acquired NPs released into the environment will further increase in the near future. This raises the possibility that various types of NPs could be found in the same medium, thereby, the adverse effects of each NP either could be potentiated, inhibited or remain unaffected by the presence of the other NPs. After uptake of NPs into the human body from various routes, protein kinases pathways mediate their toxicities. In this context, family of mitogen-activated protein kinases (MAPKs) is mostly efficient. Despite each NP activates almost the same metabolic pathways, the toxicity induced by a single type of NP is different than the case of co-exposure to the combined NPs. The scantiness of toxicological data on NPs combinations displays difficulties to determine, if there is any risk associated with exposure to combined nanomaterials. Currently, in addition to mathematical analysis (Response surface methodology; RSM), the quantitative-structure-activity relationship (QSAR) is used to estimate the toxicity of various metal oxide NPs based on their physicochemical properties and levels applied. In this chapter, it is discussed whether the coexistence of multiple metal NPs alter the original toxicity of individual NP. Additionally, in the part of "Toxicity of diesel emission/exhaust particles (DEP)", the known individual toxicity of metal NPs within the DEP is compared with the data regarding toxicity of total DEP mixture.
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Affiliation(s)
- Ayse Basak Engin
- Department of Toxicology, Faculty of Pharmacy, Gazi University, Ankara, Turkey.
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Application of Bioactive Thermal Proteome Profiling to Decipher the Mechanism of Action of the Lipid Lowering 13 2-Hydroxy-pheophytin Isolated from a Marine Cyanobacteria. Mar Drugs 2019; 17:md17060371. [PMID: 31234367 PMCID: PMC6627572 DOI: 10.3390/md17060371] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 06/07/2019] [Accepted: 06/15/2019] [Indexed: 12/12/2022] Open
Abstract
The acceleration of the process of understanding the pharmacological application of new marine bioactive compounds requires identifying the compound protein targets leading the molecular mechanisms in a living cell. The thermal proteome profiling (TPP) methodology does not fulfill the requirements for its application to any bioactive compound lacking chemical and functional characterization. Here, we present a modified method that we called bTPP for bioactive thermal proteome profiling that guarantees target specificity from a soluble subproteome. We showed that the precipitation of the microsomal fraction before the thermal shift assay is crucial to accurately calculate the melting points of the protein targets. As a probe of concept, the protein targets of 132-hydroxy-pheophytin, a compound previously isolated from a marine cyanobacteria for its lipid reducing activity, were analyzed on the hepatic cell line HepG2. Our improved method identified 9 protein targets out of 2500 proteins, including 3 targets (isocitrate dehydrogenase, aldehyde dehydrogenase, phosphoserine aminotransferase) that could be related to obesity and diabetes, as they are involved in the regulation of insulin sensitivity and energy metabolism. This study demonstrated that the bTPP method can accelerate the field of biodiscovery, revealing protein targets involved in mechanisms of action (MOA) connected with future applications of bioactive compounds.
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