Search Results (1,119)

The blood–brain barrier (BBB) is a major obstacle to the development of brain-targeted drug delivery systems, restricting greater than 98% of small molecules (<500 Da) and virtually all large-molecule drugs from entering the brain tissues from the bloodstream, resulting in suboptimal drug doses and therapeutic failure in the treatment of Alzheimer’s disease (AD). However, the advent of nanotechnology has provided significant solutions to the BBB challenges, enabling particle size reduction, enhanced drug solubility, reduced premature drug degradation, extended and sustained drug release, enhanced drug transport across the BBB, increased drug target specificity and enhanced therapeutic efficacy. In corollary, a library of brain-targeted surface-functionalized nanotherapeutics has been widely reported in the current literature. These promising in vitro, in vivo and pre-clinical results from the existing literature provide quantitative evidence for the relative clinical utility of each of the techniques, indicating remarkable capacity for brain-targeted carrier systems; many of them are still being tested in human clinical trials. However, despite the recorded research successes in drug transport across the BBB, there are currently no clinically proven medications that can slow or reverse the progression of AD because most of the novel therapeutics have not been successful during the clinical trials. Therefore, the main option for the treatment of AD is symptomatic treatment using cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists. Although these therapies help to alleviate symptoms of AD and improve patients’ quality of life, they neither slow the progression of disease nor cure it. Thus, an effective disease-modifying therapy for the treatment of AD is an unmet clinical need. It is apparent that a deeper understanding of the structural complexity and controlling dynamic functions of the BBB in tandem with a comprehensive elucidation of AD pathogenesis are crucial to the development of novel nanocarriers for the effective treatment of AD. Therefore, this narrative review describes the contextual analysis of several promising strategies that enhance brain-targeted drug delivery across the BBB in AD treatment and recent research efforts on two major AD biomarkers that have revolutionized AD diagnosis, amyloid-beta plaques and phosphorylated tau protein tangle, as potential targets in AD drug development. This has led to the Food and Drug Administration (FDA)’s approval of two intravenous (IV) anti-amyloid monoclonal antibodies, Lecanemab (Leqembi^®) and Donanemab (Kisunla^®), which were developed based on the Aβ cascade hypothesis for the treatment of early AD. This review also discusses the recent shift in the Aβ cascade hypothesis to Aβ oligomer (conformer), a soluble intermediate of Aβ, which is the most toxic mediator of AD and could be the most potent drug target in the future for a more accurate and effective drug development model for the treatment of AD. Furthermore, various promising nanoparticle-based drug carriers (therapeutic nanoparticles) that were developed from intensive research are discussed, including their clinical utility, challenges and prospects in the treatment of AD. Overall, it suffices to state that the advent of nanotechnology provided several innovative techniques for overcoming the BBB and improving drug delivery to the brain; however, their long-term biosafety is a relevant concern. Full article

Background: Cutaneous squamous cell carcinoma (cSCC) represents the second most common form of non-melanoma skin malignancy, and, when not amenable to curative surgery or radiotherapy, it is a life-threatening disease. The anti-PD-1 monoclonal antibody cemiplimab has transformed the outcome of advanced or metastatic cSCC, with response rates approaching 50% and sustained benefit beyond three years in clinical trials. Cemiplimab is now the first-line standard of care treatment for advanced disease. Methods: This retrospective observational study included consecutive adult patients with locally advanced (lac) or metastatic (m) cSCC who received cemiplimab (350 mg every three weeks) at the Center for Immuno-Oncology, University Hospital of Siena, Italy, either through an Expanded Access Program or routine clinical practice. Clinical outcome and treatment related adverse events (TRAEs) are reported. Results: Between December 2019 and December 2023, 27 patients (24 male; median age 82 years [range 41–90]) diagnosed with lacSCC (n = 20 [74.0%]) or mcSCC (n = 7 [25.9%]) were treated with cemiplimab as first line therapy and were followed until June 2024. Head and neck were the primary tumor location for 88.8% of patients, followed by trunk (7.4%) and lower extremities (3.7%). All patients had comorbidities, including six patients (22.2%) with hematologic malignancies. With a median follow-up of 31 months (data cut-off June 2024), the ORR was 66.6% (complete response 22.2%) and the disease control rate (DCR) 77.7%. Median progression-free survival (mPFS) and overall survival (mOS) were not reached, while 2-year PFS and OS rates were 65.2% and 71%, respectively. Treatment was well-tolerated, with three (11.1%) patients experiencing grade ≥3 TRAEs, and three patients discontinuing treatment due to TRAEs. Conclusions: Our real-world experience confirms the high rate of durable objective responses, good tolerability and long treatment duration of cemiplimab in elderly and frail cSCC patients as well. Full article

Background/Objectives: Interleukin-17A (IL-17A) is a key pathogenic cytokine in autoimmune arthropathies. Current monoclonal antibody inhibitors targeting the IL-17/IL-17RA axis demonstrate clinical efficacy but face significant limitations, including immunogenicity, the loss of therapeutic response, and cold-chain storage. Our study evaluated oligonucleotide aptamers targeting IL-17A and its receptor as an alternative to monoclonal antibodies to suppress an IL-17A-induced inflammatory response in cell models relevant to immunoinflammatory rheumatic diseases. Methods: We examined three aptamers: 2′-F-RNA aptamers Apt21-2 and Apt3-4 specific to IL-17A and DNA aptamer RA10-6 targeting the receptor of IL-17A. Their ability to suppress IL-17A functional activity was assessed in peripheral blood mononuclear cells (PBMCs) from healthy donors and personalized fibroblast-like synoviocytes (FLSs) from patients with axial spondyloarthritis (axSpA) and rheumatoid arthritis (RA). Inhibition was measured by quantifying IL-6 and MMP-13 secretion using ELISA and flow cytometry, using secukinumab as a reference control. Results: In PBMC, all aptamers suppressed IL-17A-stimulated IL-6 secretion and cell proliferation in a concentration-dependent manner (17–200 nM), with a 65–85% efficacy, comparable to that of secukinumab. In axSpA-derived FLS, we observed time-dependent efficacy: At 4 h, all three aptamers suppressed IL-6 to the same extent as secukinumab; at 24 h, RA10-6 maintained high efficacy while Apt21-2 and Apt3-4 showed reduced activity. A combination of receptor-targeting RA10-6 with anti-IL-17A aptamers resulted in synergistic IL-6 suppression. All aptamers reduced MMP-13 to basal levels. RA-derived FLS showed diminished responses to all inhibitors. Conclusions: Aptamers demonstrate high specificity and sustained efficacy in suppressing IL-17A signaling for an in vitro model of spondyloarthritis, with superior performance over antibodies. Disease-dependent differential efficacy in RA FLS reflects heterogeneity consistent with limited clinical anti-IL-17 efficacy in RA. These findings show the strong potential of the studied aptamers as an alternative to monoclonal antibodies for IL-17-associated inflammatory arthropathies, particularly spondyloarthritis. Full article

Background/Objective: Mycoplasma pneumoniae (MP) remains a significant pathogen causing respiratory tract inflammation, particularly in the elderly and children under 5 years old. The lack of an effective vaccine is primarily attributed to the absence of well-defined immunological targets. This study systematically evaluated the immunological characteristics of six key MP proteins to facilitate vaccine development. Methods: We constructed recombinant plasmids (pET30a-CARDS/P1/P40-90/P30/P116/MPN133), expressed them in Escherichia coli, and evaluated their immunogenicity and immune reactivity against MP infection in BALB/c mice. Results: Six proteins induced strong antibody responses. Sera from all protein-immunized groups exhibited MP growth inhibitory activity, with P116 and MPN133 showing more pronounced inhibitory effects. After MP challenge, lung histopathological findings demonstrated that, except for the P1 group, the lung pathological scores of the protein-immunized groups were lower than those of the PBS control group, and the lung injury in the CARDS, P116 and MPN133 groups was significantly alleviated. Conclusion: The six recombinant proteins demonstrate good immunogenicity. Among them, CARDS induces a strong primary antibody response, while P116 and MPN133 elicit potent anti-MP antibodies. In addition, CARDS, P116 and MPN133 significantly alleviate lung pathological damage (n = 6, p < 0.01), indicating that these three proteins have greater potential as MP vaccine targets among the six candidate proteins. Full article

Hepatitis C virus (HCV) still lacks a licensed vaccine. The envelope glycoprotein E2 is a key neutralizing target, but its dense N-glycan shield can hinder epitope exposure. In this study, we revisit E2 glycan editing and examine whether single-site deletion preserves antigen integrity while improving immune responses in mice under a DNA immunization setting. Using a secreted E2 ectodomain (sE2384–661), we generated five N to D mutants at conserved sites (N1, N2, N4, N6, and N11) and evaluated them in a unified DNA immunization model with identical CpG content and delivery conditions across groups. The N2 mutant (N423, sE2-N2) maintained expression, secretion, and ER localization; furthermore, in mice, it was associated with higher anti-E2 titers and greater inhibition of H77 (genotype 1a) HCVcc at the tested dilutions, with limited activity against Con1 (1b). Cellular analyses showed increased IFN-γ ELISPOT counts and higher frequencies of granzyme B⁺/perforin⁺ CD8⁺ T cells after N2 immunization, while IL-4 remained low. Functionally, N2 elicited stronger specific lysis of CT26-sE2 targets in vitro and slowed CT26-sE2 tumor growth in vivo. In HCV-infected ICR^4R+ mice, therapeutic vaccination with sE2-N2 reduced blood HCV RNA and hepatic readouts compared with sE2. A monoclonal antibody isolated from sE2-N2-immunized mice (1C1) neutralized HCVcc in vitro and, after passive transfer, lowered viremia and liver signals in infected mice. Collectively, these findings indicate that selective removal of the N2 glycan preserves antigen properties and is associated with improved humoral and cellular immunity and measurable in vivo activity, supporting targeted glycan editing as a practical strategy to refine E2-based HCV vaccines. Full article

The SCANVIR^® project is a regional initiative aimed at accelerating the elimination of hepatitis C virus (HCV) by reaching high-risk populations outside traditional healthcare settings. Launched in 2017 in Limoges and later expanded to Poitiers and Bordeaux, the project organized dedicated screening and treatment days in 43 facilities taking care of intravenous drug users, migrants, and prisoners in Nouvelle-Aquitaine. These events involved multidisciplinary teams and advanced diagnostic tools, including rapid tests for HCV, HBV, and HIV; FibroScan^® for liver assessment; and GeneXpert^® for on-site HCV RNA detection. Patients also received counseling on risk prevention, addiction, psychosocial support, and treatment when needed. Between 2017 and 2024, SCANVIR^® screened 1664 patients, with 98.9% accepting FibroScan^®. Anti-HCV antibodies were detected in 23.4% of participants, among whom 41.5% (N = 162) had a replicative profile. Of these, 83% initiated treatment and 80% were cured or were still undergoing therapy. FibroScan^® assessments showed advanced fibrosis in 17% of patients, severe fibrosis in 7.2%, and severe steatosis in 18%. By promoting a “Test, Treat, Prevent” strategy, SCANVIR^® proved cost-effective in diagnosing and treating individuals distant from care structures, highlighting the value of integrating education and prevention into liver disease screening. SCANVIR^® is an officially registered European trademark. Full article

Background/Objectives: Vitamin D levels tend to be lower in patients with inflammatory rheumatic diseases (IRDs), including rheumatoid arthritis (RA), but there are minimal data on vitamin D levels in rheumatology patients with inflammatory vs. non-inflammatory diagnoses. Methods: In this retrospective, observational study, we used electronic health record data from patients presenting for their first visit at a large rheumatology clinic to assess vitamin D levels and deficiency based on diagnosis, and to evaluate the association between vitamin D and inflammatory markers (including C-reactive protein [CRP]) or autoimmune markers (including rheumatoid factor [RF], anti-citrullinated peptide antibody, and anti-nuclear antibodies). Logistic regression analysis with 13 clinical variables was used to evaluate the association between vitamin D levels and IRD diagnosis, and linear regression was used to evaluate the association between vitamin D levels and CRP or RF. Results: The patient cohort included 4979 patients; 1385 (27.8%) had an IRD. Vitamin D levels were significantly lower in the IRD vs. non-inflammatory subgroup (mean [SD] of 26.6 [13.3] vs. 27.7 [14.3]; p = 0.009), but the difference was not clinically relevant given the small effect size. Vitamin D deficiency rates (<20 ng/mL) were not significantly different between the subgroups, and vitamin D was not associated with an IRD diagnosis in logistic regression analysis. In linear regression analysis, vitamin D was not associated with CRP or RF in the full patient cohort or in the subgroup with RA (n = 539). Conclusions: We conclude that vitamin D levels do not differ substantially based on IRD versus non-inflammatory diagnosis, CRP levels, or RF levels in this clinical cohort. Full article

In this study, blood cell counts and serum C3, C4, and CH50 values at baseline and after more than 6-month drug use were measured to elucidate changes in blood cells and complements during relapse prevention therapies for aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (AQP4+ NMOSD). A total of 70 patients with AQP4+ NMOSD (87% female, median age 56 years) were enrolled. They were divided into the following treatment groups: glucocorticoids and/or immunosuppressants (GC/IS, n = 22), inebilizumab/rituximab (anti-CD19/20, n = 13), satralizumab (anti-IL-6R, n = 22), and eculizumab/ravulizumab (anti-C5, n = 13). At baseline, the blood counts and complement levels did not differ among the groups. At follow-up, the neutrophil and platelet counts in the anti-IL-6R group decreased from those at baseline (p < 0.0001 and p < 0.001, respectively). Compared with the GC/IS, anti-CD19/20, and anti-C5 groups, the anti-IL-6R group had lower levels of C3 (p < 0.0001, p < 0.01, and p < 0.05, respectively) and C4 (p < 0.0001, p < 0.01, p < 0.001, respectively). Furthermore, the anti-C5 group had significantly lower CH50 levels than the GC/IS, anti-CD19/20, and anti-IL-6R groups (p < 0.0001, p < 0.0001, p < 0.05, respectively). In addition, the anti-IL-6R group had lower CH50 levels than the GC/IS and anti-CD19/20 groups (p < 0.001 and p < 0.05, respectively). The present study demonstrated that anti-IL-6R therapy broadly and mildly suppressed the complement system and decreased the neutrophil and platelet counts. It also showed that anti-C5 therapy strongly suppressed total complement activity but did not affect the C3 and C4 levels or blood counts. These findings may have implications for the mode of action of the drugs and the risk of adverse drug reactions, including infections. Full article

Background/Objectives: Insulin resistance (IR) is a relevant metabolic concern in patients with rheumatic diseases; however, data regarding its clinical influence on the systemic sclerosis (SSc) phenotype is lacking. This study aimed to evaluate the characteristics of patients exhibiting IR in a monocentric SSc cohort. Methods: We conducted a cross-sectional study on 178 SSc patients, stratified according to the presence of IR, defined as a HOMA-IR value >1.85 for men and >2.07 for women, based on thresholds previously validated in the Estudio Epidemiológico de la Insuficiencia Renal en España (EPIRCE) cross-sectional study. The rationale for applying the current cut-offs is based on its discriminative potential when using sex- and age-specific thresholds in a nondiabetic population. This approach is particularly applicable to SSc, where the prevalence of diabetes is very low and the median ages of the two cohorts are comparable. Data collected included demographic-, clinical-, laboratory-, pulmonary function-, capillaroscopic-, and treatment-related parameters. A multivariable logistic regression model was used to identify independent predictors of IR. Results: Patients with IR (n = 76) had a significantly higher prevalence of diffuse cutaneous subset (26.3% vs. 11.8%, p = 0.012) and interstitial lung disease (39.5% vs. 17.6%, p = 0.001), along with the positivity for anti-Scl70 antibodies and the current presence of musculoskeletal symptoms (p = 0.021) and digital ulcers (p = 0.037). As expected, body mass index (BMI) was significantly higher in the IR population (24.6 ± 5.2 vs. 22.9 ± 4.1, p = 0.012), along with fasting glucose, insulin, HOMA-IR, and HbA1c levels. IR patients exhibited higher percentages of dyslipidemia and liver steatosis. Medications such as hydroxychloroquine, statins, and Iloprost were more frequently used in the IR group; as for corticosteroids usage (21.1% vs. 5.9%, p = 0.002), however, cumulative glucocorticoid dosage did not differ between the groups. In multivariable analysis, BMI (OR 1.09; p = 0.038) and interstitial lung disease (ILD) (OR 3.03; p = 0.034) were independent predictors of IR. Conclusions: In SSc, IR is associated with ILD, digital ulcers, musculoskeletal involvement, and anti-Scl70 autoantibodies. Full article

Background/Objectives: There is limited data regarding the association of anti-drug antibody (ADA) levels with the efficacy of anti-tumor necrosis factor (anti-TNF) therapy in patients with inflammatory bowel disease (IBD). We aimed to investigate the association between antibody to adalimumab (ATA) and antibody to infliximab (ATI) levels and treatment failure in IBD. Methods: This single-center, retrospective cohort study included consecutive IBD patients with ADA evaluated with a drug-tolerant assay between September 2012 and February 2023. A time-to-event analysis was performed for treatment failure, defined as the need for drug discontinuation due to primary non-response, loss of response, a serious adverse event, or an IBD-related surgery. Patients were followed from first positive ADA until treatment failure or the end of the follow-up (May 2024). Results: The study population consisted of 134 patients with IBD [n = 58 (43%) on adalimumab; n = 86, (64%) with Crohn’s disease]. Multiple COX regression analysis identified higher ADA levels to be associated with treatment failure (HR: 1.034, 95%CI: 1.024–1.045, p < 0.001). A ROC analysis identified an ATA and ATI level threshold of 5.2 U/mL (AUC: 0.705; 95%CI: 0.569–0.841; p = 0.003; sensitivity: 64%; specificity: 82%) and 8.8 U/mL (AUC: 0.809; 95%CI: 0.713–0.906; p < 0.001; sensitivity: 69%; specificity: 93%), respectively, to distinguish patients with or without treatment failure. Conclusions: In this large retrospective cohort study, higher levels of ADA were associated with treatment failure to anti-TNF therapy in IBD. Moreover, we identified ATA and ATI level thresholds of 5.2 U/mL and 8.8 U/mL, respectively, to be associated with treatment failure. Full article

Background/Objectives: Long-term serological studies are essential to understand how repeated antigenic exposure affects the specific humoral immune response. The aim of this study was to investigate the long-term SARS-CoV-2 antibody dynamics in Austrian blood donors, as representatives of healthy adults, over a period of 36 months after the first SARS-CoV-2 infection. Methods: SARS-CoV-2 anti-N antibody levels were determined in more than 146,000 blood donations collected between 2020 and 2025. In addition, SARS-CoV-2 anti-N and anti-S antibody dynamics were examined in 204 individual blood donors at predefined points in time over a period of 36 months. Reinfections were inferred from increases in anti-N levels within an individual. Vaccination history and self-reported infection data were documented. Results: Anti-N seroprevalence was over 90% from the beginning of 2023 and remained at this level until 2025. Among the longitudinally observed participants, 97% had at least one serologically detected reinfection and 50% had two or more. While anti-N levels continued to increase over time, suggesting cumulative antigenic stimulation, anti-S concentrations and in vitro antibody functionality remained consistently high. Self-reported reinfections underestimated the actual incidence by a factor of six. Symptom profiles shifted toward mild respiratory manifestations, with significantly fewer cases of hyposmia or dysgeusia reported compared to the initial infection. Conclusions: After three years of observation, SARS-CoV-2 immunity is characterized by sustained antibody activity. The results show a transition from persistent, but inherently declining, to a repeatedly rebuilding, enhanced humoral immunity, indicating that SARS-CoV-2 has become endemic in Austria. Full article

Background/Objective: In recent years, artificial intelligence (AI) has gained increasing prominence in the fields of diagnostic decision-making in medicine. The aim of this study was to compare multidisciplinary team (MDT: rheumatology, pulmonology, thoracic radiology) decisions with single-session plans generated by ChatGPT-4o. Methods: In this cross-sectional concordance study, adults (≥18 years) with confirmed systemic autoimmune rheumatic disease (SARD) and having MDT decisions within the last 6 months were included. The study documented diagnostic, treatment, and monitoring decisions in cases of SARDs by recording answers to six essential questions: (1) What is the most likely clinical diagnosis? (2) What is the most likely radiological diagnosis? (3) Is there a need for anti-inflammatory treatment? (4) Is there a need for antifibrotic treatment? (5) Is drug-free follow-up appropriate? and (6) Are additional investigations required? Consequently, all evaluations were performed with ChatGPT-4o in a single-session format using a standardized single-prompt template, with the system blinded to MDT decisions. All data analyses in this study were conducted using the R programming language (version 4.3.2). An agreement between AI-generated and MDT decisions was assessed using Cohen’s Kappa (κ) statistic where κ (kappa) values represent the level of agreement: <0.20 = slight, 0.21–0.40 = fair, 0.41–0.60 = moderate, 0.61–0.80 = substantial, >0.80 = almost perfect agreement. These analyses were performed using the irr and psych packages in R. Statistical significance of the models was evaluated through p-values, while overall model fit was assessed using the Likelihood Ratio Test. Results: A total of 47 patients were involved in this study, with a predominance of female patients (61.70%, n = 29). The mean age was 61.74 ± 10.40 years. The most frequently observed diagnosis was rheumatoid arthritis (RA), accounting for 31.91% of cases (n = 15). This was followed by cases of anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis, interstitial pneumonia with autoimmune features (IPAF), and sarcoidosis. The analyses indicate a statistically significant level of agreement across all decision types. For clinical diagnosis decisions, agreement was moderate (κ = 0.52), suggesting that the AI system can reach partially consistent conclusions in diagnostic processes. The need for an immunosuppressive treatment and follow-up without medication decisions demonstrated a higher level of concordance, reaching the moderate-to-high range (κ = 0.64 and κ = 0.67, respectively). For antifibrotic treatment decisions, agreement was moderate (κ = 0.49), while radiological diagnosis decisions also fell within the moderate range (κ = 0.55). The lowest agreement—though still moderate—was observed in further investigation required decisions (κ = 0.45). Conclusions: In patients with SARDs with pulmonary involvement, particularly in complex cases, concordance was observed between MDT decisions and AI-generated recommendations regarding prioritization of clinical and radiologic diagnoses, treatment selection, suitability for drug-free follow-up, and the need for further diagnostic investigations. Full article

Background: Melanoma and triple-negative breast cancer (TNBC) are the most aggressive skin and breast cancers, often diagnosed at late stages with limited treatment options. The melanoma-associated antigen melanotransferrin (MTf) is overexpressed in these solid tumors, where it drives tumorigenesis, progression, and chemoresistance. Its inhibition correlates with tumor regression, making MTf a promising therapeutic target. This study aimed to develop a novel, selectively targeted antibody–drug conjugate (ADC) against MTf-expressing melanoma and TNBC cancer cells using SNAP-tag fusion protein conjugation technology. Methods: We generated an L49(scFv)-SNAP-tag antibody fusion protein engineered through the genetic fusion of a humanized anti-MTf single-chain variable fragment (scFv) with a SNAP-tag fusion protein capable of site-specific self-labelling with O⁶-benzylguanine (BG) modified substrates in 1:1 stoichiometry. Binding and internalization of the conjugate labeled with BG-Alexa 488 (L49(scFv)-SNAP-Alexa488) were assessed by confocal microscopy and flow cytometry in MTf-overexpressing cell lines. Cytotoxicity was evaluated using the cell viability XTT assay after conjugating the SNAP-fusion protein to the potent monomethyl auristatin-F (BG-AURIF). Results: The L49(scFv)-SNAP-Alexa488 conjugate demonstrated specific binding and internalization into MTf-positive melanoma and TNBC cells. The corresponding ADC, L49(scFv)-SNAP-Linker-AURIF, exerted potent, antigen and dose-dependent cytotoxicity, with IC₅₀ values in the nanomolar range (4.77–34.43 nM). Conclusions: We successfully generated a novel SNAP-tag-based ADC that selectively eliminates MTf-overexpressing tumor cells. This proof-of-concept highlights MTF’s value as a therapeutic target and demonstrates that a smaller-format, non-cleavable linker SNAP-tag-based ADC can achieve potent nanomolar cytotoxicity, supporting further development of MTF-targeted immunotherapies for melanoma and TNBC. Full article

Vector-borne parasites might be transmitted through transfusion, notably Plasmodium spp. and Trypanosoma cruzi. Prevention strategies include blood donor screening, deferral, and blood unit treatment by pathogen inactivation methods. At the end of 2015, in line with European guidelines, Italian legislation introduced a questionnaire to identify donors at risk and their screening by serological methods. In early 2016, the Laboratory of Parasitology at Pisa University Hospital started the serological analysis of donors at risk, referring to Transfusion Services located in northwestern Tuscany. The aim of the present study was to describe the prevalence of seropositive donors observed during 8 years of screening. Donors at risk of transmitting malaria were screened by ELISA (Enzyme Linked Immunosorbent Assay). The DRG ELISA kit was employed until 2020, when it was substituted by the Euroimmun ELISA kit based on the results of a comparative evaluation of available commercial kits. Seropositive donors were offered the possibility of Plasmodium DNA testing by Loop-Mediated AMPlification (LAMP) to exclude current infection. Donors at risk of transmitting Chagas disease were screened by ICT employing recombinant antigen until 2021, when it was substituted by ELISA employing lysate antigen because of its higher accuracy. Seropositive donors were further tested by CLIA, and WB was performed in case of discordant results, according to WHO guidelines for diagnosis of chronic Chagas disease. A total of 3754 donors were tested for anti-Plasmodium antibodies, revealing a 6.8% (95% CI = 6.1–7.7%) seroprevalence. Seropositivity was higher among donors from Sub-Saharan Africa (42.9%; 95% CI = 36.1–49.9%) and Southeast Asia (10.6%; 95% CI = 6.7–16.4%). A lower seropositivity was observed when employing Euroimmun ELISA (4.8; 95% CI = 3.8–5.9%) than DRG ELISA (8.2%; 95% CI = 7.1–9.3%). Seropositivity dropped to 3.6% (95% CI = 2.4–5.6) in 2020, likely because of travel restrictions during the COVID-19 pandemic. None of the tested seropositive donors (n = 20) tested positive for Plasmodium DNA LAMP testing. A high proportion of seroreversion was observed after one year of testing. Among 4285 donors tested for anti-T. cruzi antibodies seroprevalence was 0.7% (95% CI = 0.5–1.1%), a higher value than what was observed in a recent national survey. All seropositive donors were born in Europe or Latin America. Seropositivity was apparently lower with ELISA (0.5%, 95% CI = 0.2–1.2%) than ICT (0.8%, 95% CI = 0.6–1.2%), possibly due to ELISA’s higher specificity, although the difference is not significant. No confirmed cases of chronic Chagas disease were identified. The study emphasizes the importance of defining the serological test employed for screening and the need to confirm seropositive results with further testing. The high seroreversion observed in the study suggests repeating seropositive donor screening after a year to minimize deferral and blood unit loss. Full article

Background/Objectives: Notwithstanding the declaration by the World Health Organization in May 2023 regarding the conclusion of the COVID-19 pandemic, new cases of this potentially lethal infection continue to be documented globally, exerting a sustained influence on the worldwide economy and social structures. Contemporary SARS-CoV-2 variants, while associated with a reduced propensity for severe acute pathology, retain the capacity to induce long-term post-COVID syndrome, including in ambulatory patient populations. This clinical phenomenon may be attributable to potential autoimmune reactions hypothetically triggered by antiviral antibodies, thereby underscoring the need for developing novel, universal vaccines against COVID-19. The nucleocapsid protein (N), being one of its most conserved and highly immunogenic components of SARS-CoV-2, presents a promising target for such investigative efforts. However, the protective role of anti-N antibodies, generated during natural infection or through immunization with N-based vaccines, alongside the potential adverse effects associated with their production, remains to be fully elucidated. In the present study, we aim to identify potential sites of homology in structures or sequences between the SARS-CoV-2 N protein and human antigens detected using hyperimmune sera against N protein obtained from mice, rabbits, and hamsters. Methods: We employed Western blot analysis of lysates from human cell lines (MCF7, HEK293T, THP-1, CaCo2, Hep2, T98G, A549) coupled with mass spectrometric identification to assess the cross-reactivity of polyclonal and monoclonal antibodies generated against recombinant SARS-CoV-2 N protein with human self-antigens. Results: We showed that anti-N antibodies developed in mice and rabbits exhibit pronounced immunoreactivity towards specific components of the human proteome. In contrast, anti-N immunoglobulins from hamsters showed no non-specific cross-reactivity with either hamster or human proteomic extracts because of the lack of autoreactivity or immunogenicity differences. Subsequent mass spectrometric analysis of the immunoreactive bands identified principal autoantigenic targets, which were predominantly heat shock proteins (including HSP90-beta, HSP70, mitochondrial HSP60, and HSPA8), histones (H2B, H3.1–3), and key metabolic enzymes (G6PD, GP3, PKM, members of the 1st family of aldo-keto reductases). Conclusions: The results obtained herein highlight the differences in the development of anti-N humoral responses in humans and in the Syrian hamster model. These data provide a foundational basis for formulating clinical recommendations to predict possible autoimmune consequences in COVID-19 convalescents and are of critical importance for the rational design of future N protein-based, cross-protective vaccine candidates against novel coronavirus infections. Full article