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Santa, C.

Publications and source records attributed to Santa, C..

2 recordsLinked to original sources

A Proteomics-Based Comparison of Host Responses to Spotted Fever Group Rickettsia in Endothelial Cells

Spotted fever group (SFG) Rickettsia species are obligate intracellular bacteria with a tropism for endothelial cells (ECs), where they initiate pathogenesis leading to rickettsial vasculitis. However, how endothelial cells sense and respond to infection by Rickettsia species of differing pathogenic potential remains poorly defined. In this study, we conducted a comparative analysis of four SFG Rickettsia species - R. africae, R. parkeri, R. massiliae, and R. montanensis - using high-throughput label-free SWATH/DIA-MS/MS in human HUVEC/TERT2 cells. Our results revealed distinct intracellular growth dynamics that correlated with known virulence profiles: the more pathogenic R. africae and R. parkeri replicated more efficiently, while the non-pathogenic R. montanensis failed to replicate. Proteomic profiling uncovered both shared and species-specific host responses, with a marked induction of proteins associated with type I interferon (IFN-I) signaling, particularly in response to R. africae and R. parkeri. Proteins typically involved in antiviral immunity, such as RIG-I, ISG15, IFITs, MX1, MX2, and OAS family members, were significantly accumulated, suggesting activation of cytosolic nucleic acid sensing pathways upon infection with pathogenic rickettsiae. ISGylation levels, however, remained low and varied depending on the species, pointing to complex regulatory mechanisms. Comparison with previous quantitative proteomics data in THP-1 macrophages revealed a conserved interferon signature, while also highlighting cell-type-specific responses. Overall, our findings demonstrate that endothelial cells activate innate immune pathways typically associated with antiviral defense upon Rickettsia infection. These immune signatures may serve as potential indicators of pathogenic potential and provide a foundation for identifying biomarkers and therapeutic targets in rickettsial diseases.

microbiology↗

Unmasking Hidden Systemic Effects of Neurodegenerative Diseases: A Two-Pronged Approach to Biomarker Discovery

Identification of reliable blood biomarkers for neurodegenerative diseases (NDs) is crucial for translational and clinical research. However, conventional omics struggle with blood samples complexity, hindering desired outcomes. In this work the potential of High Molecular Weight (HMW) fractionation under non-denaturing conditions as a complementary approach to the conventional proteomics for identifying serum biomarkers in NDs was explored. A cohort of 58 serum samples of Alzheimers disease (AD), Parkinsons disease (PD) patients and control (CT) individuals was used to compare the two proteomics strategies: i) direct analysis of whole serum and ii) non-denaturing fractionation using 300 kDa cut-off filters (HMW serum). Although both approaches quantified a similar set of proteins, each approach captured a distinct subset of differentially altered proteins, suggesting that HMW fractionation identified additional types of alterations beyond conventional protein level changes. A discriminant model combining altered proteins from both datasets effectively distinguished between the three groups (AUC = 0.999 and median sensitivity and specificity of 97.4% and 91.7%, respectively). Importantly, this performance surpassed that of any model created using each method individually. Altogether, this work demonstrated that HMW fractionation can be a valuable complementary method to direct serum analysis and could enhance biomarker discovery. The 10 proteins included in the model (5 from each strategy), comprise clear evidence for the contribution of apolipoproteins for the diagnosis of NDs, revealing potential changes within lipid metabolism and the organization of macromolecules and their complexes, thereby uncovering effects that remain hidden from a conventional serum proteome analysis.

biochemistry↗