The complement cascade and Neutrophil Extracellular Traps (NETs) represent fundamental tools in protecting the host from foreign pathogens. Complement components and relative fragments, classically assigned to the innate immunity, represent a key link with the humoral immune response. NETs are a crucial component of the innate immune response, consisting of chromatin release from activated neutrophils. These web-like structures facilitate pathogen entrapment and elimination through proteolytic degradation and antimicrobial effectors. Previous findings suggested complement components and NETs have a significant role in the pathogenesis of several diseases characterized by inflammation, such as autoimmune and infectious diseases. However, the crosstalk between NETs and the complement cascade has only recently been investigated, and several aspects still need to be fully clarified. Recent evidence seems to suggest a bidirectional link between the complement cascade and NETosis. We here present the interaction between complement components and NETs in specific autoimmune diseases that mostly affect the kidney, such as systemic lupus erythematosus, Antineutrophilic Cytoplasmic Antibody (ANCA)-associated vasculitis and antiphospholipid syndrome. The mechanisms reported here may represent specific targets for the development of possible therapeutic strategies.

BACKGROUND. Anti-nephrin autoantibodies have emerged as a putative pathogenic driver in a subset of patients with podocytopathies, including those with post-transplant disease recurrence. METHODS. We measured anti-nephrin autoantibodies in a cohort of 65 patients with podocytopathy associated with steroid-sensitive nephrotic syndrome (n = 39) and steroid-resistant nephrotic syndrome (n = 26), and in 34 patients with post-transplant podocytopathy recurrence. Fourteen patients with membranous nephropathy and 20 healthy volunteers served as controls. ELISA and immunoprecipitation assays were performed to detect anti-nephrin IgG using two different recombinant human nephrin proteins. Immunofluorescence analysis was performed to assess the deposition of IgG and their colocalization with nephrin in renal biopsies. RESULTS. When using murine antigen-based ELISA, the highest positivity was found in healthy volunteers (55%), correlating with levels of circulating natural anti-α-galactose-α-1,3-galactose antibodies. This cross-reactivity was abrogated with recombinant human nephrin expressed in human cells. In this setting, very low prevalence (<5%) of anti-nephrin antibody-positive patients was found in steroid-sensitive and steroid-resistant nephrotic syndrome cohorts and in patients with post-transplant disease recurrence. These frequencies were comparable to healthy volunteers. Using confocal and super-resolution microscopy, only trace amounts of IgM, but no IgG, were found in the glomeruli of analyzed biopsies, which did not colocalize with nephrin. CONCLUSIONS. With the methodology presented here, anti-nephrin reactivity was extremely rare and occurred at comparably low frequencies in healthy controls, native-kidney podocytopathies, and post-transplant disease recurrence. This suggests that these autoantibodies are not inherently disease-specific and may not serve as a broad biomarker across podocytopathies. TRIAL REGISTRATION. ClinicalTrials.gov NCT06334692. FUNDING. Private donation.

Medulloblastoma (MB) is the most common pediatric malignant central nervous system tumor. Overall survival in MB depends on treatment tuning. There is aneed for biomarkers of residual disease and recurrence. We analyzed the proteome of waste cerebrospinal fluid (CSF) from extraventricular drainage (EVD) from six children bearing various subtypes of MB and six controls needing EVD insertion for unrelated causes. Samples included total CSF, microvesicles, exosomes, and proteins captured by combinatorial peptide ligand library (CPLL). Liquid chromatography-coupled tandem mass spectrometry proteomics identified 3560 proteins in CSF from control and MB patients, 2412 (67.7%) of which were overlapping, and 346 (9.7%) and 805 (22.6%) were exclusive. Multidimensional scaling analysis discriminated samples. The weighted gene co-expression network analysis (WGCNA) identified those modules functionally associated with the samples. A ranked core of 192 proteins allowed distinguishing between control and MB samples. Machine learning highlighted long-chain fatty acid transport protein 4 (SLC27A4) and laminin B-type (LMNB1) as proteins that maximized the discrimination between control and MB samples. Machine learning WGCNA and support vector machine learning were able to distinguish between MB versus non-tumor/hemorrhagic controls. The two potential protein biomarkers for the discrimination between control and MB may guide therapy and predict recurrences, improving the MB patients’ quality of life.

Cerebrospinal fluid (CSF) is a biochemical–clinical window into the brain. Unfortunately, its wide dynamic range, low protein concentration, and small sample quantity significantly limit the possibility of using it routinely. Extraventricular drainage (EVD) of CSF allows us to solve quantitative problems and to study the biological role of extracellular vesicles (EVs). In this study, we implemented bioinformatic analysis of our previous data of EVD of CSF and its EVs obtained from congenital hydrocephalus with the aim of identifying a comprehensive list of potential tumor and non-tumor biomarkers of central nervous system diseases. Among all proteins identified, those enriched in EVs are associated with synapses, synaptosomes, and nervous system diseases including gliomas, embryonal tumors, and epilepsy. Among these EV-enriched proteins, given the broad consensus present in the recent scientific literature, we validated syntaxin-binding protein 1 (STXBP1) as a marker of malignancy in EVD of CSF and its EVs from patients with pilocytic astrocytoma and medulloblastoma. Our results show that STXBP1 is negatively enriched in EVs compared to non-tumor diseases and its downregulation correlates with adverse outcomes. Further experiments are needed to validate this and other EV markers in the blood of pediatric patients for translational medicine applications.

Background.: Focal segmental glomerulosclerosis (FSGS) recurrence after kidney transplantation is a leading cause of allograft failure and remains difficult to treat. Standard therapies, including plasma exchange (PEX) and rituximab, are often ineffective and poorly tolerated. Growing evidence implicates immune-mediated circulating factors, such as IgG and IgM autoantibodies, in disease pathogenesis. Given the central role of memory B cells and plasma cells in antibody production, we tested the safety/efficacy profile of a combined B-cell and plasma cell–depleting approach with rituximab and daratumumab in patients with posttransplant FSGS recurrence. Methods.: This is a retrospective analysis of a multicenter, international cohort of sixteen patients (median age 37 y) with biopsy-proven FSGS recurrence posttransplant who received anti-CD20 plus anti-CD38 monoclonal antibodies or anti-CD38 alone. The majority of patients were resistant to common therapies, including rituximab and PEX. Results.: The treatment achieved complete or partial remission in 5 and 11 patients, respectively. Five experienced proteinuria relapse, and 4 responded to repeated daratumumab alone. At the last follow-up (median 11 [2–18] mo), 13 patients are still in remission and PEX was discontinued in all but 3 cases. Overall, kidney function improved after treatment, and no severe acute or chronic adverse events were reported. Serological analysis revealed a significant decline in IgM, but not in IgG, after treatment. Conclusions.: Despite the retrospective, nonrandomized design, the temporal association between treatment and remission supports an effect of anti-CD38 monoclonal antibody alone or in combination with anti-CD20. Treatment is safe and may confer enhanced efficacy over standard approaches. Prospective, mechanistic studies are warranted to validate these findings and delineate the immunopathogenesis of FSGS recurrence.

Spontaneous preterm birth (PTB) complicates about 12% of pregnancies worldwide, remaining the main cause of neonatal morbidity and mortality. Spontaneous preterm birth PTBs is often caused by microbial-induced preterm labor, mediated by an inflammatory process threatening both maternal and newborn health. In search for novel predictive biomarkers of PTB and preterm prelabor rupture of the membranes (pPROM), and to improve understanding of infection related PTB, we performed an untargeted mass spectrometry discovery study on 51 bioptic mid zone amnion samples from premature babies. A total of 6352 proteins were identified. Bioinformatics analyses revealed a ranked core of 159 proteins maximizing the discrimination between the selected clinical stratification groups allowing to distinguish conditions of absent (FIR 0) from maximal Fetal Inflammatory Response (FIR 3) stratified in function of Maternal Inflammatory Response (MIR) grade. Matrix metallopeptidase-9 (MMP-9) was the top differentially expressed protein. Gene Ontology enrichment analysis of the core proteins showed significant changes in the biological pathways associated to inflammation and regulation of immune and infection response. Data suggest that the conditions determining PTB would be a transversal event, secondary to the maternal inflammatory response causing a breakdown in fetal-maternal tolerance, with fetal inflammation being more severe than maternal one. We also highlight matrix metallopeptidase-9 as a potential predictive biomarker of PTB that can be assayed in the maternal serum, for future investigation.