Diving into the proteomic atlas of SARS-CoV-2 infected cells.

The COVID-19 pandemic was initiated by the rapid spread of a SARS-CoV-2 strain. Though mainly classified as a respiratory disease, SARS-CoV-2 infects multiple tissues throughout the human body, leading to a wide range of symptoms in patients. To better understand how SARS-CoV-2 affects the proteome from cells with different ontologies, this work generated an infectome atlas of 9 cell models, including cells from brain, blood, digestive system, and adipocyte tissue. Our data shows that SARS-CoV-2 infection mainly trigger dysregulations on proteins related to cellular structure and energy metabolism. Despite these pivotal processes, heterogeneity of infection was also observed, highlighting many proteins and pathways uniquely dysregulated in one cell type or ontological group. These data have been made searchable online via a tool that will permit future submissions of proteomic data ( https://reisdeoliveira.shinyapps.io/Infectome_App/ ) to enrich and expand this knowledgebase.

Induced-pluripotent stem cells and neuroproteomics as tools for studying neurodegeneration.

The investigation of neurodegenerative diseases advanced significantly with the advent of cell-reprogramming technology, leading to the creation of new models of human illness. These models, derived from induced pluripotent stem cells (iPSCs), facilitate the study of sporadic as well as hereditary diseases and provide a comprehensive understanding of the molecular mechanisms involved with neurodegeneration. Through proteomics, a quantitative tool capable of identifying thousands of proteins from small sample volumes, researchers have attempted to identify disease mechanisms by detecting differentially expressed proteins and proteoforms in disease models, biofluids, and postmortem brain tissue. The integration of these two technologies allows for the identification of novel pathological targets within the realm of neurodegenerative diseases. Here, we highlight studies from the past 5 years on the contributions of iPSCs within neuroproteomic investigations, which uncover the molecular mechanisms behind these illnesses.

The Roles of hnRNP Family in the Brain and Brain-Related Disorders.

Heterogeneous nuclear ribonucleoproteins (hnRNPs) belong to a complex family of RNA-binding proteins that are essential to control alternative splicing, mRNA trafficking, synaptic plasticity, stress granule formation, cell cycle regulation, and axonal transport. Over the past decade, hnRNPs have been associated with different brain disorders such as Alzheimer's disease, multiple sclerosis, and schizophrenia. Given their essential role in maintaining cell function and integrity, it is not surprising that dysregulated hnRNP levels lead to neurological implications. This review aims to explore the primary functions of hnRNPs in neurons, oligodendrocytes, microglia, and astrocytes, and their roles in brain disorders. We also discuss proteomics and other technologies and their potential for studying and evaluating hnRNPs in brain disorders, including the discovery of new therapeutic targets and possible pharmacological interventions.

Protein Succinylation and Malonylation as Potential Biomarkers in Schizophrenia.

Two protein post-translational modifications, lysine succinylation and malonylation, are implicated in protein regulation, glycolysis, and energy metabolism. The precursors of these modifications, succinyl-CoA and malonyl-CoA, are key players in central metabolic processes. Both modification profiles have been proven to be responsive to metabolic stimuli, such as hypoxia. As mitochondrial dysfunction and metabolic dysregulation are implicated in schizophrenia and other psychiatric illnesses, these modification profiles have the potential to reveal yet another layer of protein regulation and can furthermore represent targets for biomarkers that are indicative of disease as well as its progression and treatment. In this work, data from shotgun mass spectrometry-based quantitative proteomics were compiled and analyzed to probe the succinylome and malonylome of postmortem brain tissue from patients with schizophrenia against controls and the human oligodendrocyte precursor cell line MO3.13 with the dizocilpine chemical model for schizophrenia, three antipsychotics, and co-treatments. Several changes in the succinylome and malonylome were seen in these comparisons, revealing these modifications to be a largely under-studied yet important form of protein regulation with broad potential applications.

Morphological, cellular, and molecular basis of brain infection in COVID-19 patients.

Although increasing evidence confirms neuropsychiatric manifestations associated mainly with severe COVID-19 infection, long-term neuropsychiatric dysfunction (recently characterized as part of "long COVID-19" syndrome) has been frequently observed after mild infection. We show the spectrum of cerebral impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, ranging from long-term alterations in mildly infected individuals (orbitofrontal cortical atrophy, neurocognitive impairment, excessive fatigue and anxiety symptoms) to severe acute damage confirmed in brain tissue samples extracted from the orbitofrontal region (via endonasal transethmoidal access) from individuals who died of COVID-19. In an independent cohort of 26 individuals who died of COVID-19, we used histopathological signs of brain damage as a guide for possible SARS-CoV-2 brain infection and found that among the 5 individuals who exhibited those signs, all of them had genetic material of the virus in the brain. Brain tissue samples from these five patients also exhibited foci of SARS-CoV-2 infection and replication, particularly in astrocytes. Supporting the hypothesis of astrocyte infection, neural stem cell-derived human astrocytes in vitro are susceptible to SARS-CoV-2 infection through a noncanonical mechanism that involves spike-NRP1 interaction. SARS-CoV-2-infected astrocytes manifested changes in energy metabolism and in key proteins and metabolites used to fuel neurons, as well as in the biogenesis of neurotransmitters. Moreover, human astrocyte infection elicits a secretory phenotype that reduces neuronal viability. Our data support the model in which SARS-CoV-2 reaches the brain, infects astrocytes, and consequently, leads to neuronal death or dysfunction. These deregulated processes could contribute to the structural and functional alterations seen in the brains of COVID-19 patients.

PTMs: A Missing Piece for Schizophrenia Studies.

One of the closest regulatory mechanisms to a cellular phenotype is post-translational modifications (PTMs), a diverse class of changes that proteins can undergo to change various physical and functional properties. PTMs hold great potential to better understand multifactorial diseases and disorders like schizophrenia. The field of PTMomics is still expanding and developing, though several modifications have already been implicated in the etiology and treatment of schizophrenia. Nonetheless, much has yet to be uncovered due to the vast number of modifications that occur on proteins. Here, some of the most well-supported arguments for PTM dysregulation in schizophrenia are raised, leaving the door open for multiple other modifications and their potential.

Modeling Schizophrenia In Vitro: Challenges and Insights on Studying Brain Cells.

One of the challenges in studying neuropsychiatric disorders is the difficulty in accessing brain tissue from living patients. Schizophrenia is a chronic mental illness that affects 1% of the population worldwide, and its development stems from genetic and environmental factors. In order to better understand the pathophysiology underlying schizophrenia, the development of efficient in vitro methods to model this disorder has been required. In addition to several in vitro models, induced pluripotent stem cells (iPSCs) arose as a powerful tool, enabling access to the genetic background of the donor. Moreover, genetic modification of these cells can improve studies of specific dysfunctions observed in the pathophysiology of several neuropsychiatric disorders, not only schizophrenia. Here, we summarize which in vitro models are currently available and their applications in schizophrenia research, describing their advantages and limitations. These technologies in the cell culture field hold great potential to contribute to a better understanding of the pathophysiology of schizophrenia in an integrated manner, in addition to testing potential therapeutic interventions based on the genetic background of the patient.

What Can We Learn from Animal Models to Study Schizophrenia?

Schizophrenia is a complex and heterogeneous neurodevelopmental psychiatric disorder characterized by a variety of symptoms classically grouped into three main domains: positive (hallucinations, delusions, and thought disorder) and negative symptoms (social withdrawal, lack of affect) and cognitive dysfunction (attention, working and episodic memory functions, and processing speed). This disorder places an immense emotional and economic pressure on the individual and society-at-large. Although the etiology of schizophrenia is not completely known, it is proposed to involve abnormalities in neurodevelopmental processes and dysregulation in the signaling mediated by several neurotransmitters, such as dopamine, glutamate, and GABA. Preclinical research using animal models are essential in our understanding of disease development and pathology as well as the discovery and advance of novel treatment choices. Here we describe rodent models for studying schizophrenia, including those based on the effects of drugs (pharmacological models), neurodevelopmental disruption, demyelination, and genetic alterations. The advantages and limitations of such models are highlighted. We also discussed the great potential of proteomic technologies in unraveling the molecular mechanism of schizophrenia through animal models.

Molecular Findings Guiding the Modulation of the Endocannabinoid System as a Potential Target to Treat Schizophrenia.

Schizophrenia is a psychiatric disorder of neurodevelopmental origin that is thought to result from the combination of genetic and socioenvironmental factors. Several studies have linked the endocannabinoid system with the pathophysiology of schizophrenia. Here, we provide a brief overview of the role of the endocannabinoid system (ECS) in the context of biological processes relevant to schizophrenia, such as neurodevelopment, synaptic plasticity, and brain energy metabolism. We also discuss alterations related to the ECS in schizophrenia and current efforts in both in vivo and in vitro studies that have provided a better understanding of the functioning of this system in the context of the disorder. Finally, we highlighted the modulation of the ECS as a potential for discovering novel therapeutic targets, suggesting new avenues for future research in the field.

Zika Virus Strains and Dengue Virus Induce Distinct Proteomic Changes in Neural Stem Cells and Neurospheres.

Brain abnormalities and congenital malformations have been linked to the circulating strain of Zika virus (ZIKV) in Brazil since 2016 during the microcephaly outbreak; however, the molecular mechanisms behind several of these alterations and differential viral molecular targets have not been fully elucidated. Here we explore the proteomic alterations induced by ZIKV by comparing the Brazilian (Br ZIKV) and the African (MR766) viral strains, in addition to comparing them to the molecular responses to the Dengue virus type 2 (DENV). Neural stem cells (NSCs) derived from induced pluripotent stem (iPSCs) were cultured both as monolayers and in suspension (resulting in neurospheres), which were then infected with ZIKV (Br ZIKV or ZIKV MR766) or DENV to assess alterations within neural cells. Large-scale proteomic analyses allowed the comparison not only between viral strains but also regarding the two- and three-dimensional cellular models of neural cells derived from iPSCs, and the effects on their interaction. Altered pathways and biological processes were observed related to cell death, cell cycle dysregulation, and neurogenesis. These results reinforce already published data and provide further information regarding the biological alterations induced by ZIKV and DENV in neural cells.

A glimpse on the architecture of hnRNP C1/C2 interaction network in cultured oligodendrocytes.

hnRNP represent a large family of RNA-binding proteins related to regulation of transcriptional and translational processes. More specifically, hnRNPs play pivotal roles in the myelination of the central nervous system. The regulation of these proteins are associated with neurodegenerative and psychiatric disorders, including schizophrenia. hnRNPs were shown differentially regulated on schizophrenia postmortem brain tissue as well as in cultured oligodendrocytes treated with clozapine, a common antipsychotic used in schizophrenia treatment. Here we employed co-immunoprecipitation of hnRNP C1/C2 to investigate for the first time in a large-scale manner its interaction partners on cultured oligodendrocytes (MO3.13). Even preliminarily, results bring a more comprehensive description of hnRNP C1/C2 interaction network, and therefore insights regarding the potential role of this protein in the central nervous system in health and disease, warranting further investigation.

Ovariectomy modifies lipid metabolism of retroperitoneal white fat in rats: a proteomic approach.

Menopause is often accompanied by visceral obesity. With the aim of exploring the consequences of ovarian failure on visceral fat, we evaluated the effects of ovariectomy and estrogen replacement on the proteome/phosphoproteome and on the fatty acid profile of the retroperitoneal adipose depot (RAT) of rats. Eighteen 3-mo-old female Wistar rats were either ovariectomized or sham operated and fed with standard chow for 3 mo. A subgroup of ovariectomized rats received estradiol replacement. RAT samples were analyzed with data-independent acquisitions LC-MS/MS, and pathway analysis was performed with the differentially expressed/phosphorylated proteins. RAT lipid profile was analyzed by gas chromatography. Ovariectomy induced high adiposity and insulin resistance and promoted alterations in protein expression and phosphorylation. Pathway analysis showed that five pathways were significantly affected by ovariectomy, namely, metabolism of lipids (including fatty acid metabolism and mitochondrial fatty acid ß-oxidation), fatty acyl-CoA biosynthesis, innate immune system (including neutrophil degranulation), metabolism of vitamins and cofactors, and integration of energy metabolism (including ChREBP activates metabolic gene expression). Lipid profile analysis showed increased palmitic and palmitoleic acid content. The analysis of the data indicated that ovariectomy favored lipogenesis whereas it impaired fatty acid oxidation and induced a proinflammatory state in the visceral adipose tissue. These effects are consistent with the findings of high adiposity, hyperleptinemia, and impaired insulin sensitivity. The observed alterations were partially attenuated by estradiol replacement. The data point to a role of disrupted lipid metabolism in adipose tissue in the genesis of obesity after menopause.

Novel Treatment Strategies Targeting Myelin and Oligodendrocyte Dysfunction in Schizophrenia.

Oligodendrocytes are the glial cells responsible for the formation of the myelin sheath around axons. During neurodevelopment, oligodendrocytes undergo maturation and differentiation, and later remyelination in adulthood. Abnormalities in these processes have been associated with behavioral and cognitive dysfunctions and the development of various mental illnesses like schizophrenia. Several studies have implicated oligodendrocyte dysfunction and myelin abnormalities in the disorder, together with altered expression of myelin-related genes such as Olig2, CNP, and NRG1. However, the molecular mechanisms subjacent of these alterations remain elusive. Schizophrenia is a severe, chronic psychiatric disorder affecting more than 23 million individuals worldwide and its symptoms usually appear at the beginning of adulthood. Currently, the major therapeutic strategy for schizophrenia relies on the use of antipsychotics. Despite their widespread use, the effects of antipsychotics on glial cells, especially oligodendrocytes, remain unclear. Thus, in this review we highlight the current knowledge regarding oligodendrocyte dysfunction in schizophrenia, compiling data from (epi)genetic studies and up-to-date models to investigate the role of oligodendrocytes in the disorder. In addition, we examined potential targets currently investigated for the improvement of schizophrenia symptoms. Research in this area has been investigating potential beneficial compounds, including the D-amino acids D-aspartate and D-serine, that act as NMDA receptor agonists, modulating the glutamatergic signaling; the antioxidant N-acetylcysteine, a precursor in the synthesis of glutathione, protecting against the redox imbalance; as well as lithium, an inhibitor of glycogen synthase kinase 3ß (GSK3ß) signaling, contributing to oligodendrocyte survival and functioning. In conclusion, there is strong evidence linking oligodendrocyte dysfunction to the development of schizophrenia. Hence, a better understanding of oligodendrocyte differentiation, as well as the effects of antipsychotic medication in these cells, could have potential implications for understanding the development of schizophrenia and finding new targets for drug development.

Corrigendum: Biochemical Pathways Triggered by Antipsychotics in Human Oligodendrocytes: Potential of Discovering New Treatment Targets.

[This corrects the article DOI: 10.3389/fphar.2019.00186.].

Biochemical Pathways Triggered by Antipsychotics in Human [corrected] Oligodendrocytes: Potential of Discovering New Treatment Targets.

Schizophrenia is a psychiatric disorder that affects more than 21 million people worldwide. It is an incurable disorder and the primary means of managing symptoms is through administration of pharmacological treatments, which consist heavily of antipsychotics. First-generation antipsychotics have the properties of D2 receptor antagonists. Second-generation antipsychotics are antagonists of both D2 and 5HT2 receptors. Recently, there has been increasing interest in the effects of antipsychotics beyond their neuronal targets and oligodendrocytes are one of the main candidates. Thus, our aim was to evaluate the molecular effects of typical and atypical drugs across the proteome of the human oligodendrocyte cell line, MO3.13. For this, we performed a mass spectrometry-based, bottom-up shotgun proteomic analysis to identify differences triggered by typical (chlorpromazine and haloperidol) and atypical (quetiapine and risperidone) antipsychotics. Proteins which showed changes in their expression levels were analyzed in silico using Ingenuity® Pathway Analysis, which implicated dysregulation of canonical pathways for each treatment. Our results shed light on the biochemical pathways involved in the mechanisms of action of these drugs, which may guide the identification of novel biomarkers and the development of new and improved treatments.

Ion Mobility-Enhanced Data-Independent Acquisitions Enable a Deep Proteomic Landscape of Oligodendrocytes.

Oligodendrocytes are a type of neuroglia that provide trophic support and insulation to axons in the central nervous system. The genesis and maturation of oligodendrocytes are essential processes for myelination and the course of CNS development. Using ion mobility-enhanced, data-independent acquisitions and 2D-nanoUPLC fractionation operating at nanoscale flow rates, we established a comprehensive data set of proteins expressed by the human oligodendroglia cell line MO3.13. The final dataset incorporating all fractions comprised 223 531 identified peptides assigned to 10 390 protein hits, an improvement of 4.5 times on identified proteins described previously by our group using the same cell line. Identified proteins play pivotal roles in many biological processes such as cell growth and development and energy metabolism, providing a rich resource for future studies on oligodendrocyte development, myelination, axonal support, and the regulation of such process. Our results can help further studies that use MO3.13 cells as a tool of investigation, not only in relation to oligodendrocyte maturation, but also to diseases that have oligodendrocytes as key players. All MS data have been deposited in the ProteomeXchange with identifier PXD004696.

MK-801-Treated Oligodendrocytes as a Cellular Model to Study Schizophrenia.

Glutamate is the most important excitatory neurotransmitter in the brain. The N-methyl-D-aspartate (NMDA) subtype of glutamate receptor is found both in neurons and glial cells such as oligodendrocytes, which have been shown to be dysfunctional in schizophrenia. For this reasons, the oligodendrocyte MO3.13 cell line has been used to study glutamatergic dysfunction as a model of schizophrenia using the NMDA receptor antagonists such as MK-801 to block receptor function. Here, we describe a comprehensive protocol for culturing and carrying out proteomic analyses of MK-801-treated MO3.13 cells as a means of identifying potential new biomarkers and targets for drug discovery in schizophrenia research.

Proteomics and molecular tools for unveiling missing links in the biochemical understanding of schizophrenia.

Psychiatric disorders are one of the biggest burdens to society, with significant personal and economical costs. Schizophrenia (SCZ), among them, is still poorly understood, and its molecular characterization is crucial to improve patients' diagnosis and treatment. The combination of genetic, biochemical, and environmental factors leads to systemic alterations, which are yet to be fully comprehended. Thus, understanding those missing links by connecting some molecular reports of SCZ is essential. From postmortem brain to animal models and cell culture, new tools are emerging, including recent advances in proteomics, and there is a need to apply them to solve these problems. Here, we review some of those features, mainly related to where proteomics could help, and discuss whether those new technologies could and should be applied to psychiatric disorder studies.