Metalloproteomic and differential expression in plasma in a rat model of type 1 diabetes

Metalloproteomic approach to liver tissue of rats exposed to mercury

The aims of this study were to identify mercury-associated protein spots in the liver tissue of rats exposed to low concentrations of mercury and to elucidate the physiological and functional aspects of the proteins identified in the protein spots. Therefore, proteomic analysis of the liver tissue of Wistar rats exposed to mercury chloride (4.60 μg kg^-1 in Hg²⁺) was performed for thirty days (Hg-30 group) and sixty days (Hg-60 group). The proteomic profile of the liver tissue of the rats was obtained by two-dimensional electrophoresis (2D-PAGE), and the determinations of total mercury in the liver tissue, pellets and protein spots were performed by graphite furnace atomic absorption spectrometry (GFAAS). ImageMaster 2D Platinum 7.0 software was used to identify the differentially expressed mercury-associated protein spots, which were then characterized by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The determinations by GFAAS indicated a total mercury bioaccumulation of 2812% in the Hg-30 group and 3298% in the Hg-60 group and 10 mercury-associated protein spots with a concentration range of 51 ± 1.0 to 412 ± 6.00 mg kg^-1 in the 2D PAGE gels from the liver tissue of the Hg-60 group. The LC-MS/MS analyses allowed the identification of 11 metal binding proteins in mercury-associated protein spots that presented fold change with upregulation >1.5, downregulation < -1.7 or that were expressed only in the Hg-60 group. Using the FASTA sequences of the proteins identified in the mercury-associated protein spots, bioinformatics analyses were performed to elucidate the physiological and functional aspects of the metal binding proteins, allowing us to infer that enzymes such as GSTM2 presented greater mercury concentrations and downregulation < -3; Acaa2 and Bhmt, which showed expression only in the Hg-60 group, among others, may act as potential mercury exposure biomarkers.

Identification of Zinc Absorption Biomarkers in Muscle Tissue of Nile Tilapia Fed with Organic and Inorganic Sources of Zinc Using Metallomics Analysis

The development of metallomics techniques has allowed for metallomics analysis of biological systems, enabling a better understanding of the response mechanisms for different stimuli, their relationship to metallic species, and the characterization of biomarkers. In this study, a metallomics analysis of the muscle tissue of Nile tilapia was used to aid the understanding of the molecular mechanisms involved in zinc absorption in this fish species when fed organic and/or inorganic sources of zinc and to identify possible biomarkers for the absorption of this micromineral. To accomplish this, the fish were separated into three groups of 24 g, 74 g, and 85 g initial weights, and each group, respectively, was fed a zinc-free diet (control group, G1), a diet containing zinc found in organic sources (treatment 1, G2), and a diet containing zinc from an inorganic source (treatment 2, G3). Two-dimensional polyacrylamide (2D PAGE) gel electrophoresis was used to separate the proteins of the muscle tissue. Subsequently, the expression profiles of protein spots in the samples where zinc was applied in different concentrations were compared, using the software ImageMaster 2D Platinum version 7.0, to identify proteins that were differentially expressed. The identified proteins were then exposed to atomic absorption spectrometry in a graphite furnace to determine zinc mapping and were subsequently characterized via electrospray ionization tandem mass spectrometry (ESI-MS/MS). The metallomic analysis identified 15 proteins differentially expressed and associated with zinc, leading to the conclusion that three metal-binding proteins presented as possible biomarkers of zinc absorption in fish.

Modification of the head proteome of nurse honeybees (Apis mellifera) exposed to field-relevant doses of pesticides

Understanding the effect of pesticides on the survival of honeybee colonies is important because these pollinators are reportedly declining globally. In the present study, we examined the changes in the head proteome of nurse honeybees exposed to individual and combined pesticides (the fungicide pyraclostrobin and the insecticide fipronil) at field-relevant doses (850 and 2.5 ppb, respectively). The head proteomes of bees exposed to pesticides were compared with those of bees that were not exposed, and proteins with differences in expression were identified by mass spectrometry. The exposure of nurse bees to pesticides reduced the expression of four of the major royal jelly proteins (MRJP1, MRJP2, MRJP4, and MRJP5) and also several proteins associated with carbohydrate metabolism and energy synthesis, the antioxidant system, detoxification, biosynthesis, amino acid metabolism, transcription and translation, protein folding and binding, olfaction, and learning and memory. Overall, when pyraclostrobin and fipronil were combined, the changes in protein expression were exacerbated. Our results demonstrate that vital proteins and metabolic processes are impaired in nurse honeybees exposed to pesticides in doses close to those experienced by these insects in the field, increasing their susceptibility to stressors and affecting the nutrition and maintenance of both managed and natural colonies.

Metallomics in Fish

Metallomics allows the integration of traditionally analytical studies with inorganic and biochemical studies. The study of metallomics in living organisms allows us to obtain information about how the metal ion is distributed and coordinated with proteins, the essentiality and/or toxicity, and the individual concentrations of metal species, thus contributing to elucidation of the physiological and functional aspects of these biomolecules. In this context, several lines of research have appeared in the literature with different terms and approaches. For example, metallomic, which deals with the characterization of the total metal/metalloid species present in an organism; metalloprotein, which deals with the characterization of the total elements present in a specific site of an organism (cellular behavior, protein, metalloprotein); and metallomic, which deals with a more in-depth study of metallome. In this area, information is sought on the interactions and functional connections of metal/metalloid species with genes, proteins, metabolites and other biomolecules of the organism and, therefore, the elucidation of the biological role exerted by the metal ions bound to the biomolecules. In this chapter, we will describe techniques used in animal studies.

Pediatric endocrine and metabolic diseases and proteomics

The principles of Predictive, Preventive and Personalized Medicine (PPPM) dictate the need to recognize individual susceptibility to disease in a timely fashion and to offer targeted preventive interventions and treatments. Proteomics is a state-of-the art technology- driven science aiming at expanding our understanding of the pathophysiologic mechanisms that underlie disease, but also at identifying accurate predictive, diagnostic and therapeutic biomarkers, that will eventually promote the implementation of PPPM. In this review, we summarize the wide spectrum of the applications of Mass Spectrometry-based proteomics in the various fields of Pediatric Endocrinology, including Inborn Errors of Metabolism, type 1 diabetes, Adrenal Disease, Metabolic Syndrome and Thyroid disease, ranging from neonatal screening to early recognition of specific at-risk populations for disease manifestations or complications in adult life and to monitoring of disease progression and response to treatment.

SIGNIFICANCE

Proteomics is a state-of-the art technology- driven science aiming at expanding our understanding of the pathophysiologic mechanisms that underlie disease, but also at identifying accurate predictive, diagnostic and therapeutic biomarkers that will eventually lead to successful, targeted, patient-centric, individualized approach of each patient, as dictated by the principles of Predictive, Preventive and Personalized Medicine. In this review, we summarize the wide spectrum of the applications of Mass Spectrometry-based proteomics in the various fields of Pediatric Endocrinology, including Inborn Errors of Metabolism, type 1 diabetes, Adrenal Disease, Metabolic Syndrome and Thyroid disease, ranging from neonatal screening, accurate diagnosis, early recognition of specific at-risk populations for the prevention of disease manifestation or future complications.