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Antunes ASLM, Reis-de-Oliveira G, Martins-de-Souza D. Molecular overlaps of neurological manifestations of COVID-19 and schizophrenia from a proteomic perspective. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01842-8. [PMID: 39028452 DOI: 10.1007/s00406-024-01842-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 06/06/2024] [Indexed: 07/20/2024]
Abstract
COVID-19, a complex multisystem disorder affecting the central nervous system, can also have psychiatric sequelae. In addition, clinical evidence indicates that a diagnosis of a schizophrenia spectrum disorder is a risk factor for mortality in patients with COVID-19. In this study, we aimed to explore brain-specific molecular aspects of COVID-19 by using a proteomic approach. We analyzed the brain proteome of fatal COVID-19 cases and compared it with differentially regulated proteins found in postmortem schizophrenia brains. The COVID-19 proteomic dataset revealed a strong enrichment of proteins expressed by glial and neuronal cells and processes related to diseases with a psychiatric and neurodegenerative component. Specifically, the COVID-19 brain proteome enriches processes that are hallmark features of schizophrenia. Furthermore, we identified shared and distinct molecular pathways affected in both conditions. We found that brain ageing processes are likely present in both COVID-19 and schizophrenia, albeit possibly driven by distinct processes. In addition, alterations in brain cell metabolism were observed, with schizophrenia primarily impacting amino acid metabolism and COVID-19 predominantly affecting carbohydrate metabolism. The enrichment of metabolic pathways associated with astrocytic components in both conditions suggests the involvement of this cell type in the pathogenesis. Both COVID-19 and schizophrenia influenced neurotransmitter systems, but with distinct impacts. Future studies exploring the underlying mechanisms linking brain ageing and metabolic dysregulation may provide valuable insights into the complex pathophysiology of these conditions and the increased vulnerability of schizophrenia patients to severe outcomes.
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Affiliation(s)
- André S L M Antunes
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil.
| | | | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, University of Campinas, Campinas, Brazil.
- D'or Institute for Research and Education, São Paulo, Brazil.
- Experimental Medicine Research Cluster (EMRC), Estate University of Campinas, Campinas, Brazil.
- INCT in Modelling Human Complex Diseases with 3D Platforms (Model3D), INCT in Modelling Human Complex Diseases with 3D Platforms (Model3D), São Paulo, Brazil.
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2
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Garcia-Vilanova A, Allué-Guardia A, Chacon NM, Akhter A, Singh DK, Kaushal D, Restrepo BI, Schlesinger LS, Turner J, Weintraub ST, Torrelles JB. Proteomic analysis of lung responses to SARS-CoV-2 infection in aged non-human primates: clinical and research relevance. GeroScience 2024:10.1007/s11357-024-01264-3. [PMID: 38969861 DOI: 10.1007/s11357-024-01264-3] [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: 03/19/2024] [Accepted: 06/21/2024] [Indexed: 07/07/2024] Open
Abstract
With devastating health and socioeconomic impact worldwide, much work is left to understand the Coronavirus Disease 2019 (COVID-19), with emphasis in the severely affected elderly population. Here, we present a proteomics study of lung tissue obtained from aged vs. young rhesus macaques (Macaca mulatta) and olive baboons (Papio Anubis) infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Using age as a variable, we identified common proteomic profiles in the lungs of aged infected non-human primates (NHPs), including key regulators of immune function, as well as cell and tissue remodeling, and discuss the potential clinical relevance of such parameters. Further, we identified key differences in proteomic profiles between both NHP species, and compared those to what is known about SARS-CoV-2 in humans. Finally, we explored the translatability of these animal models in the context of aging and the human presentation of the COVID-19.
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Affiliation(s)
- Andreu Garcia-Vilanova
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA.
| | - Anna Allué-Guardia
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA.
- International Center for the Advancement of Research & Education (I•CARE), Texas Biomedical Research Institute, San Antonio, TX, USA.
| | - Nadine M Chacon
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
- Integrated Biomedical Sciences Program, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Anwari Akhter
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Dhiraj Kumar Singh
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Deepak Kaushal
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Blanca I Restrepo
- International Center for the Advancement of Research & Education (I•CARE), Texas Biomedical Research Institute, San Antonio, TX, USA
- University of Texas Health Science Center at Houston, School of Public Health, Brownsville Campus, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - Larry S Schlesinger
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
- International Center for the Advancement of Research & Education (I•CARE), Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Joanne Turner
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA
- International Center for the Advancement of Research & Education (I•CARE), Texas Biomedical Research Institute, San Antonio, TX, USA
- Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Susan T Weintraub
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Jordi B Torrelles
- Population Health, Host Pathogen Interactions, and Disease Prevention and Intervention Programs, Texas Biomedical Research Institute, San Antonio, TX, USA.
- International Center for the Advancement of Research & Education (I•CARE), Texas Biomedical Research Institute, San Antonio, TX, USA.
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Song S, Zeng L, Xu J, Shi L, Lu L, Ling Y, Zhang L. Proteomic lung analysis revealed hyper-activation of neutrophil extracellular trap formation in cases of fatal COVID-19. Heliyon 2024; 10:e31878. [PMID: 38882332 PMCID: PMC11177151 DOI: 10.1016/j.heliyon.2024.e31878] [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: 09/05/2023] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 06/18/2024] Open
Abstract
The molecular pathology of lung injury in patients with Corona Virus Disease 2019 (COVID-19) remain unclear. In this study, we performed a proteomic study of lung tissues from seven patients with COVID-19, and eight without. Lung parenchymal tissues with COVID-19 were obtained from autopsy samples, while control samples were obtained from paracancerous tissues. Proteins were extracted using phenol extraction. A tandem mass tag-based quantitative proteomic approach combined with bioinformatic analysis was used to detect proteomic changes in the SARS-CoV-2-infected lung tissues. A total of 6,602, and 6,549 proteins were identified in replicates 1 and 2, respectively. Of these, 307, and 278, respectively, were identified as differentially expressed proteins (DEPs). In total, 216 DEPs were identified in this study. These proteins were enriched in 189 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The downregulated proteins are mainly involved in focal adhesion (n = 5), and the PI3K-Akt signaling pathway (n = 4). The upregulated proteins were related to neutrophil extracellular trap (NET) formation (n = 16), and the phagosome pathway (n = 11). The upregulated proteins in these two pathways interact with one another. Further immunohistochemistry verified NET enrichment in the tissues with COVID-19 compared to the controls. Our results systematically outlined the proteomic profiles of the lung's response to SARS-CoV-2 infection and indicated that NET formation was hyper-activated. These results will hopefully provide new evidence for understanding the mechanism behind fatal COVID-19.
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Affiliation(s)
- Shu Song
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Liyan Zeng
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
- Intelligent Medicine Institute, Fudan University, Shanghai, 200032, China
| | - Jingjing Xu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Lei Shi
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Lingqing Lu
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Yun Ling
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
| | - Lijun Zhang
- Shanghai Public Health Clinical Center, Fudan University, Shanghai, 201508, China
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Mao Y, Chen Y, Li Y, Ma L, Wang X, Wang Q, He A, Liu X, Dong T, Gao W, Xu Y, Liu L, Ren L, Liu Q, Zhou P, Hu B, Zhou Y, Tian R, Shi ZL. Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury. Cell Rep 2024; 43:113689. [PMID: 38241149 DOI: 10.1016/j.celrep.2024.113689] [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: 08/31/2023] [Revised: 11/23/2023] [Accepted: 01/02/2024] [Indexed: 01/21/2024] Open
Abstract
As a primary target of severe acute respiratory syndrome coronavirus 2, lung exhibits heterogeneous histopathological changes following infection. However, comprehensive insight into their protein basis with spatial resolution remains deficient, which hinders further understanding of coronavirus disease 2019 (COVID-19)-related pulmonary injury. Here, we generate a region-resolved proteomic atlas of hallmark pathological pulmonary structures by integrating histological examination, laser microdissection, and ultrasensitive proteomics. Over 10,000 proteins are quantified across 71 post-mortem specimens. We identify a spectrum of pathway dysregulations in alveolar epithelium, bronchial epithelium, and blood vessels compared with non-COVID-19 controls, providing evidence for transitional-state pneumocyte hyperplasia. Additionally, our data reveal the region-specific enrichment of functional markers in bronchiole mucus plugs, pulmonary fibrosis, airspace inflammation, and alveolar type 2 cells, uncovering their distinctive features. Furthermore, we detect increased protein expression associated with viral entry and inflammatory response across multiple regions, suggesting potential therapeutic targets. Collectively, this study provides a distinct perspective for deciphering COVID-19-caused pulmonary dysfunction by spatial proteomics.
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Affiliation(s)
- Yiheng Mao
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China; Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ying Chen
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China; University of Chinese Academy of Sciences, Beijing, China
| | - Yuan Li
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Longda Ma
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xi Wang
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Qi Wang
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China; University of Chinese Academy of Sciences, Beijing, China
| | - An He
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xi Liu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China; University of Chinese Academy of Sciences, Beijing, China
| | - Tianyi Dong
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China; University of Chinese Academy of Sciences, Beijing, China
| | - Weina Gao
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yanfen Xu
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China
| | - Liang Liu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Liang Ren
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qian Liu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Peng Zhou
- Guangzhou Laboratory, Guangzhou International Bio Island, Guangzhou 510005, China
| | - Ben Hu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China
| | - Yiwu Zhou
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Ruijun Tian
- Department of Chemistry and Research Center for Chemical Biology and Omics Analysis, College of Science, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Zheng-Li Shi
- State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430030, China.
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5
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Omenn GS, Lane L, Overall CM, Lindskog C, Pineau C, Packer NH, Cristea IM, Weintraub ST, Orchard S, Roehrl MHA, Nice E, Guo T, Van Eyk JE, Liu S, Bandeira N, Aebersold R, Moritz RL, Deutsch EW. The 2023 Report on the Proteome from the HUPO Human Proteome Project. J Proteome Res 2024; 23:532-549. [PMID: 38232391 PMCID: PMC11026053 DOI: 10.1021/acs.jproteome.3c00591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Since 2010, the Human Proteome Project (HPP), the flagship initiative of the Human Proteome Organization (HUPO), has pursued two goals: (1) to credibly identify the protein parts list and (2) to make proteomics an integral part of multiomics studies of human health and disease. The HPP relies on international collaboration, data sharing, standardized reanalysis of MS data sets by PeptideAtlas and MassIVE-KB using HPP Guidelines for quality assurance, integration and curation of MS and non-MS protein data by neXtProt, plus extensive use of antibody profiling carried out by the Human Protein Atlas. According to the neXtProt release 2023-04-18, protein expression has now been credibly detected (PE1) for 18,397 of the 19,778 neXtProt predicted proteins coded in the human genome (93%). Of these PE1 proteins, 17,453 were detected with mass spectrometry (MS) in accordance with HPP Guidelines and 944 by a variety of non-MS methods. The number of neXtProt PE2, PE3, and PE4 missing proteins now stands at 1381. Achieving the unambiguous identification of 93% of predicted proteins encoded from across all chromosomes represents remarkable experimental progress on the Human Proteome parts list. Meanwhile, there are several categories of predicted proteins that have proved resistant to detection regardless of protein-based methods used. Additionally there are some PE1-4 proteins that probably should be reclassified to PE5, specifically 21 LINC entries and ∼30 HERV entries; these are being addressed in the present year. Applying proteomics in a wide array of biological and clinical studies ensures integration with other omics platforms as reported by the Biology and Disease-driven HPP teams and the antibody and pathology resource pillars. Current progress has positioned the HPP to transition to its Grand Challenge Project focused on determining the primary function(s) of every protein itself and in networks and pathways within the context of human health and disease.
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Affiliation(s)
- Gilbert S. Omenn
- University of Michigan, Ann Arbor, Michigan 48109, United States
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and University of Geneva, 1015 Lausanne, Switzerland
| | - Christopher M. Overall
- University of British Columbia, Vancouver, BC V6T 1Z4, Canada, Yonsei University Republic of Korea
| | | | - Charles Pineau
- University Rennes, Inserm U1085, Irset, 35042 Rennes, France
| | | | | | - Susan T. Weintraub
- University of Texas Health Science Center-San Antonio, San Antonio, Texas 78229-3900, United States
| | | | - Michael H. A. Roehrl
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States
| | | | - Tiannan Guo
- Westlake Center for Intelligent Proteomics, Westlake Laboratory, Westlake University, Hangzhou 310024, Zhejiang Province, China
| | - Jennifer E. Van Eyk
- Advanced Clinical Biosystems Research Institute, Smidt Heart Institute, Cedars-Sinai Medical Center, 127 South San Vicente Boulevard, Pavilion, 9th Floor, Los Angeles, CA, 90048, United States
| | - Siqi Liu
- BGI Group, Shenzhen 518083, China
| | - Nuno Bandeira
- University of California, San Diego, La Jolla, CA, 92093, United States
| | - Ruedi Aebersold
- Institute of Molecular Systems Biology in ETH Zurich, 8092 Zurich, Switzerland
- University of Zurich, 8092 Zurich, Switzerland
| | - Robert L. Moritz
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Eric W. Deutsch
- Institute for Systems Biology, Seattle, Washington 98109, United States
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Basak I, Harfoot R, Palmer JE, Kumar A, Quiñones-Mateu ME, Schweitzer L, Hughes SM. Neuroproteomic Analysis after SARS-CoV-2 Infection Reveals Overrepresented Neurodegeneration Pathways and Disrupted Metabolic Pathways. Biomolecules 2023; 13:1597. [PMID: 38002279 PMCID: PMC10669333 DOI: 10.3390/biom13111597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/19/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023] Open
Abstract
Besides respiratory illness, SARS-CoV-2, the causative agent of COVID-19, leads to neurological symptoms. The molecular mechanisms leading to neuropathology after SARS-CoV-2 infection are sparsely explored. SARS-CoV-2 enters human cells via different receptors, including ACE-2, TMPRSS2, and TMEM106B. In this study, we used a human-induced pluripotent stem cell-derived neuronal model, which expresses ACE-2, TMPRSS2, TMEM106B, and other possible SARS-CoV-2 receptors, to evaluate its susceptibility to SARS-CoV-2 infection. The neurons were exposed to SARS-CoV-2, followed by RT-qPCR, immunocytochemistry, and proteomic analyses of the infected neurons. Our findings showed that SARS-CoV-2 infects neurons at a lower rate than other human cells; however, the virus could not replicate or produce infectious virions in this neuronal model. Despite the aborted SARS-CoV-2 replication, the infected neuronal nuclei showed irregular morphology compared to other human cells. Since cytokine storm is a significant effect of SARS-CoV-2 infection in COVID-19 patients, in addition to the direct neuronal infection, the neurons were treated with pre-conditioned media from SARS-CoV-2-infected lung cells, and the neuroproteomic changes were investigated. The limited SARS-CoV-2 infection in the neurons and the neurons treated with the pre-conditioned media showed changes in the neuroproteomic profile, particularly affecting mitochondrial proteins and apoptotic and metabolic pathways, which may lead to the development of neurological complications. The findings from our study uncover a possible mechanism behind SARS-CoV-2-mediated neuropathology that might contribute to the lingering effects of the virus on the human brain.
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Affiliation(s)
- Indranil Basak
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Rhodri Harfoot
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand (M.E.Q.-M.)
| | - Jennifer E. Palmer
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Abhishek Kumar
- Centre for Protein Research, University of Otago, Dunedin 9016, New Zealand
| | - Miguel E. Quiñones-Mateu
- Department of Microbiology and Immunology, University of Otago, Dunedin 9016, New Zealand (M.E.Q.-M.)
| | - Lucia Schweitzer
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
| | - Stephanie M. Hughes
- Brain Health Research Centre, Department of Biochemistry, University of Otago, Dunedin 9016, New Zealand
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