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Abstract: Chronic hyperglycaemia has a life-threatening part in the pathogenesis of peripheral artery disease (PAD), leading to vascular complications by means of metabolic and structural abnormalities. The proposal aims to reveal correlations in subjects with diabetic foot syndrome (DFS) between immuno-inflammatory damage associated molecular patterns (DAMPs) and clinical and laboratory parameters, as a confirmation of the crucial role of DAMPs in PAD. Proteomics evaluation of potential markers in DFS could offer significant insights in the pathogenesis of ulcers and their micro and macro-vascular background, offering a predictive role of foot complications and stratification. A DAMP panel identified and quantified in the plasma of DFS patients will improve the unsolved yet clinical resolution of inflammatory process associated to the early events in the diabetic foot ulceration. Preclinical manipulation of the innate immune response, by targeting the DAMP-receptor interaction and tissue recovery in experimental animals by controlled neutrophil extracellular traps (NETosis) cellular death, represents a potential novel, original therapeutic opportunity to reduce the hyperinﬂammation and tissue damage associated with the chronic wounds of DFS, and to restart the normal wound healing process. Consequently, we can foresee that certain DAMPs can be envisioned as biomarkers for the evolution and prognosis of DFS but also as molecular targets in the treatment of diabetic foot ulcerations.

Rezumat: Hiperglicemia cronică are efecte devastatoare în patologia bolilor arteriale periferice, caracterizate de complicații vasculare metabolice și structurale. Scopul proiectului este de a stabili corelații între modificările proteomice ale expresiei moleculelor de stres (DAMPs) și parametrii clinici prezenți în inflamația piciorului diabetic (DFS). Analiza proteomică bazata pe spectrometrie de masa a markerilor moleculari exprimați în inflamația piciorului diabetic vor conduce la înțelegerea patologiei micro- și macro-vasculare și vor putea fi folosiți în predicția și stratificarea pacienților cu boli arteriale periferice. Selecția și cuantificarea unui panel de biomarkeri plasmatici ar reprezenta o rezolvare clinica mult așteptată pentru preventia, diagnosticarea timpurie si strategia adecvata de tratament a inflamației piciorului diabetic. Manipularea preclinică a răspunsului imun înnăscut, prin țintirea interacțiunii receptori-proteine de stres si reducerea morții celulare controlate prin NEToza, în animale mici de laborator, reprezintă o potențială oportunitate terapeutică nouă, originală cu scopul de a reduce hiperinflamația și leziunile tisulare asociate cu rănile cronice ale DFS și pentru a relua procesul normal de vindecare a rănilor. În consecință, putem prevedea că anumite DAMPs pot fi biomarkeri valoroși pentru evoluția și prognosticul DFS, dar și ținte moleculare în tratamentul ulcerațiilor piciorului diabetic.

Objectives:

O1: Identification of DAMPs from the peripheral arteries of DFS patients.

O2: Quantitative correlation between DAMPs identified in the DFS peripheral arteries and plasma of patients with different stages of diabetic foot evolution.

O3: Evaluation of a therapeutic strategy on a laboratory animal model of diabetic foot using a targeted approach against DAMP-generated inflammatory response and NETosis.

Figure 1. Graphical abstract. The proposed workflow of the project

Report: 2022

O1: Identification of DAMPs from the peripheral arteries of DFS patients.

Activity 1.1: Professional patients’ enrolment. Clinical and paraclinical profiling. Plasma sample collection. Patient follow-up.

Activity A1.2: Texas wound classification and PAD status evaluation. Peripheral small artery isolation. Texas wound classification was used to quantify severity of the lesions.

Activity A1.3: Histological assessment of discovery group (DG) peripheral small arteries.

Activity A1.4: Quantitative profiling of DAMPs from the peripheral arteries of DG vs CG samples.

LC-MS/MS experiments were performed using the Easy Nano-LC II system (Thermo Scientific, San Jose, CA) coupled with the LTQ - Velos Pro Orbitrap ETD mass spectrometer (Thermo Scientific, San Jose, CA, USA). The high-performance LTQ-Velos Orbitrap system was used to generate mass spectra using the Top 15 Data-dependent method. Protein identification was performed using Proteome Discoverer 2.4 (Thermo Scientific, San Jose, CA). Oxidation of methionine and deamidation of asparagine and glutamine were established as dynamic modifications while carbamidomethylation at cysteine was established as a fixed modification.

Chromatographic elution optimization of peptide mixtures was performed, with an acetonitrile gradient of 3-25% over 90 min demonstrating optimal separation yield of both hydrophilic and hydrophobic peptides (Figure 2).

Figure 2: Chromatographic separation of the complex mixture of peptides from a representative sample. A 3-25% gradient of acetonitrile in water was applied for chromatographic separation of peptides using Pep-Map analytical column (Thermo Scientific) with the following characteristics: 15 cm length, 75 µm inner diameter, C18 chain, 3 µm sphere size, 120 Å port diameter.

The raw mass spectra data were processed using the Proteome Discoverer 2.4 software bioinformatic platform. This resulted in the identification of 1330 proteins, out of which 442 were found in all 3 samples (Figure 3). In order to increase the confidence of protein identification, 2 sets of filters were applied, at the level of Sequest score (>10), and protein false positive discovery rate (FDR<0.05).

Figure 3: Venn intersection of the identified proteins.