Proteomic-Based Studies on Memory Formation in Normal and Neurodegenerative Disease-Affected Brains

A critical aspect of cognition is the ability to acquire, consolidate, and evoke memories, which is considerably impaired by neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. These mnemonic processes are dependent on signaling cascades, which involve protein expression and degradation. Recent mass spectrometry (MS)-based proteomics has opened a range of possibilities for the study of memory formation and impairment, making it possible to research protein systems not studied before. However, in the context of synaptic proteome related to learning processes and memory formation, a deeper understanding of the synaptic proteome temporal dynamics after induction of synaptic plasticity and the molecular changes underlying the cognitive deficits seen in neurodegenerative diseases is needed. This review analyzes the applications of proteomics for understanding memory processes in both normal and neurodegenerative conditions. Moreover, the most critical experimental studies have been summarized using the PANTHER overrepresentation test. Finally, limitations associated with investigations of memory studies in physiological and neurodegenerative disorders have also been discussed.

Mass Spectrometry based identification of site-specific proteomic alterations and potential pathways underlying the pathophysiology of schizophrenia

BACKGROUND

Schizophrenia (SZ) is a complex multifactorial disorder that affects 1% of the population worldwide with no available effective treatment. Although proteomic alterations are reported in SZ however proteomic expression aberrations among different brain regions are not fully determined. Therefore, the present study aimed spatial differential protein expression profiling of three distinct regions of SZ brain and identification of associated affected biological pathways in SZ progression.

METHODS AND RESULTS

Comparative protein expression profiling of three distinct autopsied human brain regions (i.e., substantia nigra, hippocampus and prefrontal cortex) of SZ was performed with respective healthy controls. Using two-dimensional electrophoresis (2DE)-based nano liquid chromatography tandem mass spectrometry (Nano-LC MS /MS) analysis, 1443 proteins were identified out of which 58 connote to be significantly dysregulated, representing 26 of substantia nigra,14 of hippocampus and 18 of prefrontal cortex. The 58 differentially expressed proteins were further analyzed using Ingenuity pathway analysis (IPA). The IPA analysis provided protein-protein interaction networks of several proteins including nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kb), extracellular signal regulated kinases 1/2 (ERK1/2), alpha serine / Threonine-protein kinase (AKT1), cellular tumor antigen p53 (TP53) and amyloid precursor protein (APP), holding prime positions in networks and interacts with most of the identified proteins and their closely interacting partners.

CONCLUSION

These findings provide conceptual insights of novel SZ related pathways and the cross talk of co and contra regulated proteins. This spatial proteomic analysis will further broaden the conceptual framework for schizophrenia research in future.

Automatic registration of mass spectrometry imaging data sets to the Allen brain atlas

Mass spectrometry imaging holds great potential for understanding the molecular basis of neurological disease. Several key studies have demonstrated its ability to uncover disease-related biomolecular changes in rodent models of disease, even if highly localized or invisible to established histological methods. The high analytical reproducibility necessary for the biomedical application of mass spectrometry imaging means it is widely developed in mass spectrometry laboratories. However, many lack the expertise to correctly annotate the complex anatomy of brain tissue, or have the capacity to analyze the number of animals required in preclinical studies, especially considering the significant variability in sizes of brain regions. To address this issue, we have developed a pipeline to automatically map mass spectrometry imaging data sets of mouse brains to the Allen Brain Reference Atlas, which contains publically available data combining gene expression with brain anatomical locations. Our pipeline enables facile and rapid interanimal comparisons by first testing if each animal's tissue section was sampled at a similar location and enabling the extraction of the biomolecular signatures from specific brain regions.

Omega-3 fatty acid deficiency disrupts endocytosis, neuritogenesis, and mitochondrial protein pathways in the mouse hippocampus

Omega-3 fatty acid (n-3 FA) deficiency is an environmental risk factor for schizophrenia, yet characterization of the consequences of deficiency at the protein level in the brain is limited. We aimed to identify the protein pathways disrupted as a consequence of chronic n-3 deficiency in the hippocampus of mice. Fatty acid analysis of the hippocampus following chronic dietary deficiency revealed a 3-fold decrease (p < 0.001) in n-3 FA levels. Label free LC-MS/MS analysis identified and profiled 1008 proteins, of which 114 were observed to be differentially expressed between n-3 deficient and control groups (n = 8 per group). The cellular processes that were most implicated were neuritogenesis, endocytosis, and exocytosis, while specific protein pathways that were most significantly dysregulated were mitochondrial dysfunction and clathrin mediated endocytosis (CME). In order to characterize whether these processes and pathways are ones influenced by antipsychotic medication, we used LC-MS/MS to test the differential expression of these 114 proteins in the hippocampus of mice chronically treated with the antipsychotic agent haloperidol. We observed 23 of the 114 proteins to be differentially expressed, 17 of which were altered in the opposite direction to that observed following n-3 deficiency. Overall, our findings point to disturbed synaptic function, neuritogenesis, and mitochondrial function as a consequence of dietary deficiency in n-3 FA. This study greatly aids our understanding of the molecular mechanism by which n-3 deficiency impairs normal brain function, and provides clues as to how n-3 FA exert their therapeutic effect in early psychosis.

Proteomic analysis of alterations induced by perinatal hypoxic-ischemic brain injury

Perinatal hypoxic-ischemic brain injury is an important cause of neurological deficits still causing mortality and morbidity in the early period of life. As efficient clinical or pharmaceutical strategies to prevent or reduce the outcome of perinatal hypoxic-ischemic brain damage are limited, the development of new therapies is of utmost importance. To evolve innovative therapeutic concepts, elucidation of the mechanisms contributing to the neurological impairments upon hypoxic-ischemic brain injury is necessary. Therefore, we aimed for the identification of proteins that are affected by hypoxic-ischemic brain injury in neonatal rats. To assess changes in protein expression two days after induction of brain damage, a 2D-DIGE based proteome analysis was performed. Among the proteins altered after hypoxic-ischemic brain injury, Calcineurin A, Coronin-1A, as well as GFAP were identified, showing higher expression in lesioned hemispheres. Validation of the changes in Calcineurin A expression by Western Blot analysis demonstrated several truncated forms of this protein generated by limited proteolysis after hypoxia-ischemia. Further analysis revealed activation of calpain, which is involved in the limited proteolysis of Calcineurin. Active forms of Calcineurin are associated with the dephosphorylation of Darpp-32, an effect that was also demonstrated in lesioned hemispheres after perinatal brain injury.

Impaired glycolytic response in peripheral blood mononuclear cells of first-onset antipsychotic-naive schizophrenia patients

Little is known about the biological mechanisms underpinning the pathology of schizophrenia. We have analysed the proteome of stimulated and unstimulated peripheral blood mononuclear cells (PBMCs) from schizophrenia patients and controls as a potential model of altered cellular signaling using liquid-chromatography mass spectrometry proteomic profiling. PBMCs from patients and controls were stimulated for 72 h in vitro using staphylococcal enterotoxin B. In total, 18 differentially expressed proteins between first-onset, antipsychotic-naive patients and controls in the unstimulated and stimulated conditions were identified. Remarkably, eight of these proteins were associated with the glycolytic pathway and patient-control differences were more prominent in stimulated compared with unstimulated PBMCs. None of these proteins were altered in chronically ill antipsychotic-treated patients. Non-linear multivariate statistical analysis showed that small subsets of these proteins could be used as a signal for distinguishing first-onset patients from controls with high precision. Functional analysis of PBMCs did not reveal any difference in the glycolytic rate between patients and controls despite increased levels of lactate and the glucose transporter-1, and decreased levels of the insulin receptor in patients. In addition, subjects showed increased serum levels of insulin, consistent with the idea that some schizophrenia patients are insulin resistant. These results show that schizophrenia patients respond differently to PBMC activation and this is manifested at disease onset and may be modulated by antipsychotic treatment. The glycolytic protein signature associated with this effect could therefore be of diagnostic and prognostic value. Moreover, these results highlight the importance of using cells for functional discovery and show that it may not be sufficient to measure protein expression levels in static states.

The neuroproteomics of schizophrenia

Proteomics is the study of global gene expression of an organ, body system, fluid, or cellular compartment at the protein level. Proteomic findings are reflective of complex gene × environment interactions, and the importance of this is increasingly appreciated in schizophrenia research. In this review, we outline the main proteomic methods available to researchers in this area and summarize, for the first time, the findings of the main quantitative neuroproteomic investigations of schizophrenia brain. Our review of these data revealed 16 gray matter proteins, and eight white matter proteins that were differentially expressed in the same direction in two or more investigations. Pathway analysis identified cellular assembly and organization as particularly disrupted in both gray and white matter, whereas the glycolysis-gluconeogenesis pathway was the major signaling pathway significantly altered in both. Reassuringly, these findings show remarkable convergence with functional pathways and positional candidate genes implicated from genomic studies. The specificity of schizophrenia proteomic findings are also addressed in the context of neuroproteomic investigations of neurodegenerative disorders and bipolar disorder. Finally, we discuss the major challenges in the field of neuroproteomics, such as the need for high throughput validation methods and optimal sample preparation. Future directions in the neuroproteomics of schizophrenia, including the use of blood-based biomarker work, the need to focus on subproteomes, and the increasing use of mass spectrometry-based methods are all discussed. This area of research is still in its infancy and offers huge potential to our understanding of schizophrenia on a cellular level.

Peptide and protein imaging mass spectrometry in cancer research

MALDI mass spectrometry is able to acquire protein profiles directly from tissue that can describe the levels of hundreds of distinct proteins. MALDI imaging MS can simultaneously reveal how each of these proteins varies in heterogeneous tissues. Numerous studies have now demonstrated how MALDI imaging MS can generate different protein profiles from the different cell types in a tumor, which can act as biomarker profiles or enable specific candidate protein biomarkers to be identified. MALDI imaging MS can be directly applied to patient samples where its utility is to accomplish untargeted multiplex analysis of the tissue's protein content, enabling the different regions of the tissue to be differentiated on the basis of previously unknown protein profiles/biomarkers. The technique continues to rapidly develop and is now approaching the cusp whereby its potential to provide new diagnostic/prognostic tools for cancer patients can be routinely investigated. Here the latest methodological developments are summarized and its application to a range of tumors is reported in detail. The prospects of MALDI imaging MS are then described from the perspectives of modern pathological practice and MS-based proteomics, to ensure the outlook addresses real clinical needs and reflects the real capabilities of MS-based proteomics of complex tissue samples.

An update on clinical proteomics in Alzheimer's research

Alzheimer's disease (AD) is a pathologically complex and aetiologically multifactorial dementing disorder affecting millions of people worldwide. The pathological brain changes are assumed to occur decades prior to the onset of clinical symptoms. The diagnosis of early AD remains problematic and is mainly based on clinical and neuropsychological findings after the onset of symptoms. Currently available drugs are able to delay the symptom progression of the disease but not to attenuate the progression of pathological brain changes. Many studies exploring AD proteomes have been conducted as the middle of 1990s as a consequence of recent advances in the development of both gel-based and gel-free proteomics approaches. It is hoped that proteomics can contribute to improving the understanding, diagnosis, and follow-up of the progression of AD. In this review, we summarise the present status of proteome alterations, with emphasis on quantitative approaches, in AD brain, CSF and blood, and their relevance to dementia research.

Lymphocyte proteomics of Parkinson’s disease patients reveals cytoskeletal protein dysregulation and oxidative stress

Aims: There is increasing evidence of biochemical alterations in peripheral blood lymphocytes of Parkinson’s disease (PD) patients. In this work, we describe the changes in protein levels in peripheral lymphocytes of PD patients in order to identify potential peripheral biomarkers. Materials & methods: By means of 2D electrophoresis and mass spectrometry protein identification, we compared patients under L-3,4-dihydroxyphenylalanine (L-DOPA) treatment, patients under subthalamic nucleus deep-brain stimulation and healthy controls. Results: Statistical analysis of the results demonstrated that cofilin-1, tropomyosin, and a specific actin isoform vary significantly in patients, regardless of the therapy. Two different isoforms of γ-fibrinogen either correlate with the disease state or with the disease duration. Eventually, specific changes associated with the different therapies allowed to highlight oxidative stress conditions in lymphocytes in patients treated with higher doses of L-DOPA. Conclusions: As a whole, peripheral blood lymphocytes are sensitive reporters of PD over inter-individual variability, and allow the identification of specific alterations that could be further exploited for diagnostic purposes.

The methodology of neuroproteomics

The human central nervous system (CNS) is the most complex organ in nature, composed of ten trillion cells forming complex neural networks using a quadrillion synaptic connections. Proteins, their modifications, and their interactions are integral to CNS function. The emerging field of neuroproteomics provides us with a wide-scope view of posttranslation protein dynamics within the CNS to better our understanding of its function, and more often, its dysfunction consequent to neurodegenerative disorders. This chapter reviews methodology employed in the neurosciences to study the neuroproteome in health and disease. The chapter layout parallels this volume's four parts. Part I focuses on modeling human neuropathology in animals as surrogate, accessible, and controllable platforms in our research. Part II discusses methodology used to focus analysis onto a subneuroproteome. Part III reviews analytical and bioinformatic technologies applied in neuroproteomics. Part IV discusses clinical neuroproteomics, from processing of human biofluids to translation in biomarkers research. Neuroproteomics continues to mature as a discipline, confronting the extreme complexity of the CNS proteome and its dynamics, and providing insight into the molecular mechanisms underlying how our nervous system works and how it is compromised by injury and disease.

Proteomics in animal models of Alzheimer's and Parkinson's diseases

The risk of developing neurodegenerative disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD) increases with age. AD and PD are the two most common neurodegenerative diseases that currently affect millions of persons within the United States population. While many clues about the mechanisms of these disorders have been uncovered, to date, the molecular mechanisms associated with the cause of these diseases are not completely understood. Furthermore, there are no available cures or preventive treatments for either disorder. Animal models of AD and PD, though not perfect, offer a means to gain knowledge of the basic biochemistry associated with these disorders and with drug efficacy. The field of proteomics which focuses on identifying the dynamic nature of the protein content expressed within a particular cell, tissue, or organism, has provided many insights into these disturbing disorders. Proteomic studies have revealed many pathways that are associated with disease pathogenesis and that may lead to the development of potential therapeutic targets. This review provides a discussion of key findings from AD and PD proteomics-based studies in various animal models of disease.

A large number of protein expression changes occur early in life and precede phenotype onset in a mouse model for huntington disease

Huntington disease (HD) is fatal in humans within 15-20 years of symptomatic disease. Although late stage HD has been studied extensively, protein expression changes that occur at the early stages of disease and during disease progression have not been reported. In this study, we used a large two-dimensional gel/mass spectrometry-based proteomics approach to investigate HD-induced protein expression alterations and their kinetics at very early stages and during the course of disease. The murine HD model R6/2 was investigated at 2, 4, 6, 8, and 12 weeks of age, corresponding to absence of disease and early, intermediate, and late stage HD. Unexpectedly the most HD stage-specific protein changes (71-100%) as well as a drastic alteration (almost 6% of the proteome) in protein expression occurred already as early as 2 weeks of age. Early changes included mainly the up-regulation of proteins involved in glycolysis/gluconeogenesis and the down-regulation of the actin cytoskeleton. This suggests a period of highly variable protein expression that precedes the onset of HD phenotypes. Although an up-regulation of glycolysis/gluconeogenesis-related protein alterations remained dominant during HD progression, late stage alterations at 12 weeks showed an up-regulation of proteins involved in proteasomal function. The early changes in HD coincide with a peak in protein alteration during normal mouse development at 2 weeks of age that may be responsible for these massive changes. Protein and mRNA data sets showed a large overlap on the level of affected pathways but not single proteins/mRNAs. Our observations suggest that HD is characterized by a highly dynamic disease pathology not represented by linear protein concentration alterations over the course of disease.

Impairment of adolescent hippocampal plasticity in a mouse model for Alzheimer's disease precedes disease phenotype

The amyloid precursor protein (APP) was assumed to be an important neuron-morphoregulatory protein and plays a central role in Alzheimer's disease (AD) pathology. In the study presented here, we analyzed the APP-transgenic mouse model APP23 using 2-dimensional gel electrophoresis technology in combination with DIGE and mass spectrometry. We investigated cortex and hippocampus of transgenic and wildtype mice at 1, 2, 7 and 15 months of age. Furthermore, cortices of 16 days old embryos were analyzed. When comparing the protein patterns of APP23 with wildtype mice, we detected a relatively large number of altered protein spots at all age stages and brain regions examined which largely preceded the occurrence of amyloid plaques. Interestingly, in hippocampus of adolescent, two-month old mice, a considerable peak in the number of protein changes was observed. Moreover, when protein patterns were compared longitudinally between age stages, we found that a large number of proteins were altered in wildtype mice. Those alterations were largely absent in hippocampus of APP23 mice at two months of age although not in other stages compared. Apparently, the large difference in the hippocampal protein patterns between two-month old APP23 and wildtype mice was caused by the absence of distinct developmental changes in the hippocampal proteome of APP23 mice. In summary, the absence of developmental proteome alterations as well as a down-regulation of proteins related to plasticity suggest the disturption of a normally occurring peak of hippocampal plasticity during adolescence in APP23 mice. Our findings are in line with the observation that AD is preceded by a clinically silent period of several years to decades. We also demonstrate that it is of utmost importance to analyze different brain regions and different age stages to obtain information about disease-causing mechanisms.