Abstract:The elevated gingival tissue expression and gingival crevicular fluid levels of L-plastin in both forms of periodontitis may denote the localized involvement of this novel molecule in the pathogenesis of the disease.
Schizophrenia is a devastating psychiatric illness that detrimentally affects a significant portion of the worldwide population. Aging of schizophrenia patients is associated with reduced longevity, but the potential biological factors associated with aging in this population have not yet been investigated in a global manner. To address this gap in knowledge, the present study assesses proteomics and metabolomics profiles in the plasma of subjects afflicted with schizophrenia compared to non-psychiatric control patients over six decades of life. Global, unbiased analyses of circulating blood plasma can provide knowledge of prominently dysregulated molecular pathways and their association with schizophrenia, as well as features of aging and gender in this disease. The resulting data compiled in this study represent a compendium of molecular changes associated with schizophrenia over the human lifetime. Supporting the clinical finding of schizophrenia’s association with more rapid aging, both schizophrenia diagnosis and age significantly influenced the plasma proteome in subjects assayed. Schizophrenia was broadly associated with prominent dysregulation of inflammatory and metabolic system components. Proteome changes demonstrated increased abundance of biomarkers for risk of physiologic comorbidities of schizophrenia, especially in younger individuals. These findings advance our understanding of the molecular etiology of schizophrenia and its associated comorbidities throughout the aging process.
Schizophrenia is a devastating psychiatric illness that detrimentally affects a significant portion of the worldwide population. Aging of schizophrenia patients is associated with reduced longevity, but the potential biological factors associated with aging in this population have not yet been investigated in a global manner. To address this gap in knowledge, the present study assesses proteomics and metabolomics profiles in the plasma of subjects afflicted with schizophrenia compared to non-psychiatric control patients over six decades of life. Global, unbiased analyses of circulating blood plasma can provide knowledge of prominently dysregulated molecular pathways and their association with schizophrenia, as well as features of aging and gender in this disease. The resulting data compiled in this study represent a compendium of molecular changes associated with schizophrenia over the human lifetime. Supporting the clinical finding of schizophrenia’s association with more rapid aging, both schizophrenia diagnosis and age significantly influenced the plasma proteome in subjects assayed. Schizophrenia was broadly associated with prominent dysregulation of inflammatory and metabolic system components. Proteome changes demonstrated increased abundance of biomarkers for risk of physiologic comorbidities of schizophrenia, especially in younger individuals. These findings advance our understanding of the molecular etiology of schizophrenia and its associated comorbidities throughout the aging process.
“…Öztürk et al. () have shown that it is a potential biomarker for periodontal diseases in humans. In addition, there are a number of other proteins that are of likely neutrophilic in origin: the S100 proteins A8, 9 and 12, myeloperoxidase, neutrophil elastase and lysozyme.…”
Longitudinal quantification of the gingival crevicular fluid proteome during progression from gingivitis to periodontitis in a canine model
AbstractAim: Inflammatory periodontal disease is widespread in dogs. This study evaluated site-specific changes in the canine gingival crevicular fluid (GCF) proteome during longitudinal progression from very mild gingivitis to mild periodontitis. Periodontitis diagnosis in dogs requires general anaesthesia with associated risks and costs; our ultimate aim was to develop a periodontitis diagnostic for application in conscious dogs. The objective of this work was to identify potential biomarkers of periodontal disease progression in dogs. Material and Methods: Gingival crevicular fluid was sampled from a total of 10 teeth in eight dogs at three different stages of health/disease and samples prepared for quantitative mass spectrometry (data available via ProteomeXchange; identifier PXD003337). A univariate mixed model analysis determined significantly altered proteins between health states and six were evaluated by ELISA. Results: Four hundred and six proteins were identified with 84 present in all samples. The prevalence of 40 proteins was found to be significantly changed in periodontitis relative to gingivitis. ELISA measurements confirmed that haptoglobin was significantly increased. Conclusions: This study demonstrates for the first time that proteins detected by mass spectrometry have potential to identify novel biomarkers for canine periodontal disease. Further work is required to validate additional biomarkers for a periodontitis diagnostic.
Periodontal diseases entail the inflammatory destruction of the tooth supporting (periodontal) tissues and may eventually lead tooth loss. Severe periodontal disease (or periodontitis) affects approximately 10% of the global population. Periodontitis not only severely deteriorates people's quality of life by impairing the dentition but also adversely affects systemic health. The present review paper highlights the advancements made in our understanding of inflammatory periodontal diseases by the use of proteomic technologies. The novel information comes from both clinical and in vitro studies, the former investigating samples of saliva and gingival crevicular fluid in patients with periodontal disease, whereas the latter utilizing host cell/tissue-bacteria/biofilm interaction models of relevance to periodontal disease. A broad range of information on protein profiles can be obtained, which is useful, however needs to be individually validated by golden-standard sensitive antibody-based methods. The development of the employed proteomic platform technologies will help complete in breadth and in depth the protein profiles of periodontal disease. The so-far collected data highlights the importance of moving away from the concept of a handful of proteins being responsible for the pathogenesis of the disease, and start to accept that there are "signatures" of proteins and associated pathways that lead to this.
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