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Jiang Y, Chen J, Guo L, Lan Y, Li G, Liu Q, Li H, Deng F, Guo X, Wu S. Short-term effects of ambient gaseous air pollution on blood platelet mitochondrial DNA methylation and myocardial ischemia. ENVIRONMENT INTERNATIONAL 2024; 185:108533. [PMID: 38430585 DOI: 10.1016/j.envint.2024.108533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/14/2024] [Accepted: 02/23/2024] [Indexed: 03/04/2024]
Abstract
BACKGROUND The potential effects of short-term exposure to major ambient gaseous pollutants (ozone: O3, carbon monoxide: CO, and sulfur dioxide: SO2) on platelet mitochondrial DNA (mtDNA) methylation have been uncertain and no studies have examined whether platelet mtDNA methylation levels could modify the associations between ambient gaseous pollutants and the risks of ST-segment depression (STDE) and T-wave inversion events (TIE), two indicators of myocardial ischemia. METHODS This study used data from a randomized, double-blind, placebo-controlled intervention study with a standardized 24-hour exposure protocol among 110 participants in Beijing. Absolute changes in platelet mtDNA methylation (ACmtDNAm) levels were determined by two repeated measurements on platelet mtDNA methylation levels in blood samples collected before and after the 24-hour exposure period. A multivariable linear regression model and a generalized linear model with a Poisson link function were used to investigate the associations of ambient gaseous pollutants with platelet mtDNA methylation levels, STDE, and TIE, respectively. RESULTS Short-term O3 exposure was significantly associated with decreased ACmtDNAm at ATP6_P1 but increased ACmtDNAm at mt12sRNA, MT-COX1, and MT-COX1_P2; short-term CO and SO2 exposures were significantly associated with decreased ACmtDNAm at D-loop, MT-COX3- and ATP-related genes. Moreover, short-term O3 exposure was significantly associated with increased risks of STDE and TIE, and ACmtDNAm at MT-COX1 and MT-COX1_P2 modified the association between short-term O3 exposure and STDE events. L-Arg supplementation attenuated the effects of ambient gaseous pollutants, particularly O3, on ACmtDNAm and STDE. CONCLUSIONS Platelet mtDNA methylation levels are promising biomarkers of short-term exposure to ambient gaseous air pollution, and are likely implicated in the mechanism behind the association of ambient O3 pollution with adverse cardiovascular effects. L-Arg supplementation showed the potential to mitigate the adverse effects of ambient O3 pollution.
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Affiliation(s)
- Yunxing Jiang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Juan Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Liqiong Guo
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China; Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Yang Lan
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China
| | - Ge Li
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Shaanxi Provincial Institute for Endemic Disease Control, Xi'an, Shaanxi, China
| | - Qisijing Liu
- Research Institute of Public Health, School of Medicine, Nankai University, Tianjin, China
| | - Hongyu Li
- Department of Scientific Research, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, China; Key Laboratory of Trace Elements and Endemic Diseases in Ministry of Health, Xi'an, Shaanxi, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi, China.
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Targeted Mitochondrial Epigenetics: A New Direction in Alzheimer’s Disease Treatment. Int J Mol Sci 2022; 23:ijms23179703. [PMID: 36077101 PMCID: PMC9456144 DOI: 10.3390/ijms23179703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/19/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
Mitochondrial epigenetic alterations are closely related to Alzheimer’s disease (AD), which is described in this review. Reports of the alteration of mitochondrial DNA (mtDNA) methylation in AD demonstrate that the disruption of the dynamic balance of mtDNA methylation and demethylation leads to damage to the mitochondrial electron transport chain and the obstruction of mitochondrial biogenesis, which is the most studied mitochondrial epigenetic change. Mitochondrial noncoding RNA modifications and the post-translational modification of mitochondrial nucleoproteins have been observed in neurodegenerative diseases and related diseases that increase the risk of AD. Although there are still relatively few mitochondrial noncoding RNA modifications and mitochondrial nuclear protein post-translational modifications reported in AD, we have reason to believe that these mitochondrial epigenetic modifications also play an important role in the AD process. This review provides a new research direction for the AD mechanism, starting from mitochondrial epigenetics. Further, this review summarizes therapeutic approaches to targeted mitochondrial epigenetics, which is the first systematic summary of therapeutic approaches in the field, including folic acid supplementation, mitochondrial-targeting antioxidants, and targeted ubiquitin-specific proteases, providing a reference for therapeutic targets for AD.
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Skorupski J. Characterisation of the Complete Mitochondrial Genome of Critically Endangered Mustela lutreola (Carnivora: Mustelidae) and Its Phylogenetic and Conservation Implications. Genes (Basel) 2022; 13:genes13010125. [PMID: 35052465 PMCID: PMC8774856 DOI: 10.3390/genes13010125] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 12/28/2021] [Accepted: 01/06/2022] [Indexed: 02/07/2023] Open
Abstract
In this paper, a complete mitochondrial genome of the critically endangered European mink Mustela lutreola L., 1761 is reported. The mitogenome was 16,504 bp in length and encoded the typical 13 protein-coding genes, two ribosomal RNA genes and 22 transfer RNA genes, and harboured a putative control region. The A+T content of the entire genome was 60.06% (A > T > C > G), and the AT-skew and GC-skew were 0.093 and −0.308, respectively. The encoding-strand identity of genes and their order were consistent with a collinear gene order characteristic for vertebrate mitogenomes. The start codons of all protein-coding genes were the typical ATN. In eight cases, they were ended by complete stop codons, while five had incomplete termination codons (TA or T). All tRNAs had a typical cloverleaf secondary structure, except tRNASer(AGC) and tRNALys, which lacked the DHU stem and had reduced DHU loop, respectively. Both rRNAs were capable of folding into complex secondary structures, containing unmatched base pairs. Eighty-one single nucleotide variants (substitutions and indels) were identified. Comparative interspecies analyses confirmed the close phylogenetic relationship of the European mink to the so-called ferret group, clustering the European polecat, the steppe polecat and the black-footed ferret. The obtained results are expected to provide useful molecular data, informing and supporting effective conservation measures to save M. lutreola.
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Affiliation(s)
- Jakub Skorupski
- Institute of Marine and Environmental Sciences, University of Szczecin, Adama Mickiewicza 16 St., 70-383 Szczecin, Poland; ; Tel.: +48-91-444-16-85
- Polish Society for Conservation Genetics LUTREOLA, Maciejkowa 21 St., 71-784 Szczecin, Poland
- The European Mink Centre, 71-415 Szczecin, Poland
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Liu X, Jiang Y, Song D, Zhang L, Xu G, Hou R, Zhang Y, Chen J, Cheng Y, Liu L, Xu X, Chen G, Wu D, Chen T, Chen A, Wang X. Clinical challenges of tissue preparation for spatial transcriptome. Clin Transl Med 2022; 12:e669. [PMID: 35083877 PMCID: PMC8792118 DOI: 10.1002/ctm2.669] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/16/2021] [Accepted: 11/17/2021] [Indexed: 02/06/2023] Open
Abstract
Spatial transcriptomics is considered as an important part of spatiotemporal molecular images to bridge molecular information with clinical images. Of those potentials and opportunities, the excellent quality of human sample preparation and handling will ensure the precise and reliable information generated from clinical spatial transcriptome. The present study aims at defining potential factors that might influence the quality of spatial transcriptomics in lung cancer, para-cancer, or normal tissues, pathological images of sections and the RNA integrity before spatial transcriptome sequencing. We categorised potential influencing factors from clinical aspects, including patient selection, pathological definition, surgical types, sample harvest, temporary preservation conditions and solutions, frozen approaches, transport and storage conditions and duration. We emphasis on the relationship between the combination of histological scores with RNA integrity number (RIN) and the unique molecular identifier (UMI), which is determines the quality of of spatial transcriptomics; however, we did not find significantly relevance between them. Our results showed that isolated times and dry conditions of sample are critical for the UMI and the quality of spatial transcriptomic samples. Thus, clinical procedures of sample preparation should be furthermore optimised and standardised as new standards of operation performance for clinical spatial transcriptome. Our data suggested that the temporary preservation time and condition of samples at operation room should be within 30 min and in 'dry' status. The direct cryo-preservation within OCT media for human lung sample is recommended. Thus, we believe that clinical spatial transcriptome will be a decisive approach and bridge in the development of spatiotemporal molecular images and provide new insights for understanding molecular mechanisms of diseases at multi-orientations.
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Affiliation(s)
- Xiaoxia Liu
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Yujia Jiang
- BGIShenzhenChina
- BGI College & Henan Institute of Medical and Pharmaceutical SciencesZhengzhou UniversityZhengzhouChina
| | - Dongli Song
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
| | - Linlin Zhang
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Guang Xu
- Institute of Computer ScienceFudan UniversityShanghaiChina
| | - Rui Hou
- Shanghai Biotechnology CorporationShanghaiChina
| | - Yong Zhang
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Jian Chen
- Shanghai Lung Cancer CenterShanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiChina
| | - Yunfeng Cheng
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
| | | | | | - Gang Chen
- Department of PathologyZhongshan Hospital, Fudan UniversityShanghaiChina
| | - Duojiao Wu
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
| | - Tianxiang Chen
- Shanghai Lung Cancer CenterShanghai Chest HospitalShanghai Jiao Tong UniversityShanghaiChina
| | | | - Xiangdong Wang
- Department of Pulmonary and Critical Care MedicineInstitute for Clinical ScienceShanghai Institute of Clinical BioinformaticsZhongshan Hospital of Fudan UniversityShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
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Liu Q, Li H, Guo L, Chen Q, Gao X, Li PH, Tang N, Guo X, Deng F, Wu S. Effects of short-term personal exposure to air pollution on platelet mitochondrial DNA methylation levels and the potential mitigation by L-arginine supplementation. JOURNAL OF HAZARDOUS MATERIALS 2021; 417:125963. [PMID: 33984786 DOI: 10.1016/j.jhazmat.2021.125963] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 04/04/2021] [Accepted: 04/21/2021] [Indexed: 06/12/2023]
Abstract
The potential effect of short-term exposure to air pollution on mitochondrial DNA (mtDNA) methylation remains to be explored. This study adopted an experimental exposure protocol nested with an intervention study on L-arginine (L-Arg) supplementation among 118 participants. Participants walked along a traffic road for 2 hours in the last day of a 14-day intervention to investigate the effects of short-term personal exposure to air pollution on platelet mtDNA methylation and the possible modifying effects of L-Arg supplementation. Results showed that short-term personal exposure to air pollutants was associated with hypomethylation in platelet mtDNA in 110 participants who completed the study protocol. Specifically, 2-h fine particulate matter (PM2.5) exposure during the outdoor walk was significantly associated with hypomethylation in mt12sRNA; 24-h PM2.5 and black carbon (BC) exposures from the start of the walk till next morning were both significantly associated with hypomethylation in the D-loop region; 24-h BC exposure was also significantly associated with hypomethylation in ATP8_P1. Supplementation with L-Arg could mitigate the air pollution effects on platelet mtDNA methylation, especially the D-loop region. These findings suggest that platelet mtDNA methylation may be sensitive effect biomarker for short-term exposure to air pollution and may help deepen the understanding of the epigenetic mechanisms of adverse cardiovascular effects of air pollution.
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Affiliation(s)
- Qisijing Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Hongyu Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Liqiong Guo
- Institute of Disaster Medicine, Tianjin University, Tianjin, China; Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin, China
| | - Qiao Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xu Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Peng-Hui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
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Li L, Qi R, Zhang L, Yu Y, Hou J, Gu Y, Song D, Wang X. Potential biomarkers and targets of mitochondrial dynamics. Clin Transl Med 2021; 11:e529. [PMID: 34459143 PMCID: PMC8351522 DOI: 10.1002/ctm2.529] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 07/24/2021] [Accepted: 07/26/2021] [Indexed: 12/19/2022] Open
Abstract
Mitochondrial dysfunction contributes to the imbalance of cellular homeostasis and the development of diseases, which is regulated by mitochondria-associated factors. The present review aims to explore the process of the mitochondrial quality control system as a new source of the potential diagnostic biomarkers and/or therapeutic targets for diseases, including mitophagy, mitochondrial dynamics, interactions between mitochondria and other organelles (lipid droplets, endoplasmic reticulum, endosomes, and lysosomes), as well as the regulation and posttranscriptional modifications of mitochondrial DNA/RNA (mtDNA/mtRNA). The direct and indirect influencing factors were especially illustrated in understanding the interactions among regulators of mitochondrial dynamics. In addition, mtDNA/mtRNAs and proteomic profiles of mitochondria in various lung diseases were also discussed as an example. Thus, alternations of mitochondria-associated regulators can be a new category of biomarkers and targets for disease diagnosis and therapy.
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Affiliation(s)
- Liyang Li
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Ruixue Qi
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
| | - Linlin Zhang
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Yuexin Yu
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Jiayun Hou
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Yutong Gu
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Dongli Song
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
| | - Xiangdong Wang
- Zhongshan Hospital, Department of Pulmonary and Critical Care Medicine, Shanghai Institute of Clinical BioinformaticsShanghai Engineering Research for AI Technology for Cardiopulmonary DiseasesShanghaiChina
- Jinshan Hospital Centre for Tumor Diagnosis and TherapyFudan University Shanghai Medical CollegeShanghaiChina
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Zhu Z, Zhang L, Lv J, Liu X, Wang X. Trans-omic profiling between clinical phenoms and lipidomes among patients with different subtypes of lung cancer. Clin Transl Med 2020; 10:e151. [PMID: 32898330 PMCID: PMC7438979 DOI: 10.1002/ctm2.151] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/26/2020] [Accepted: 07/28/2020] [Indexed: 12/12/2022] Open
Abstract
Lung cancer has high mortality, often accompanied with systemic metabolic disorders. The present study aimed at defining values of trans-nodules cross-clinical phenomic and lipidomic network layers in patients with adenocarcinoma (ADC), squamous cell carcinomas, or small cell lung cancer (SCLC). We measured plasma lipidomic profiles of lung cancer patients and found that altered lipid panels and concentrations varied among lung cancer subtypes, genders, ages, stages, metastatic status, nutritional status, and clinical phenome severity. It was shown that phosphatidylethanolamine elements (36:2, 18:0/18:2, and 18:1/18:1) were SCLC specific, whereas lysophosphatidylcholine (20:1 and 22:0 sn-position-1) and phosphatidylcholine (19:0/19:0 and 19:0/21:2) were ADC specific. There were statistically more lipids declined in male, <60 ages, late stage, metastasis, or body mass index < 22 . Clinical trans-omics analyses demonstrated that one phenome in lung cancer subtypes might be generated from multiple metabolic pathways and metabolites, whereas a metabolic pathway and metabolite could contribute to different phenomes among subtypes, although those needed to be furthermore confirmed by bigger studies including larger population of patients in multicenters. Thus, our data suggested that trans-omic profiles between clinical phenomes and lipidomes might have the value to uncover the heterogeneity of lipid metabolism among lung cancer subtypes and to screen out phenome-based lipid panels as subtype-specific biomarkers.
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Affiliation(s)
- Zhenhua Zhu
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
- Shanghai Institute of Respiratory Diseases, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Linlin Zhang
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Jiapei Lv
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Xiaoxia Liu
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Xiangdong Wang
- Institute of Clinical Science, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
- Shanghai Institute of Respiratory Diseases, Zhongshan Hospital, Shanghai Medical CollegeFudan UniversityShanghaiChina
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New potentials of mitochondrial DNA editing. Cell Biol Toxicol 2020; 36:391-393. [DOI: 10.1007/s10565-020-09549-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 07/21/2020] [Indexed: 12/19/2022]
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9
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Wang W, Li L, Wang X. Therapeutic targets during mitochondrial lipid metabolism. Cell Biol Toxicol 2020; 36:205-208. [PMID: 32548662 DOI: 10.1007/s10565-020-09543-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 06/11/2020] [Indexed: 01/01/2023]
Affiliation(s)
- William Wang
- Zhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China
| | - Liyang Li
- Zhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China
| | - Xiangdong Wang
- Zhongshan Hospital Institute for Clinical Science, Shanghai Institute of Clinical Bioinformatics, Shanghai Engineering Research for AI Technology for Cardiopulmonary Diseases, Fudan University, Shanghai, China.
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