Publications by authors named "Cugnata Federica"

Introduction: SARS-CoV-2 pandemic still poses a significant burden on global health and economy, especially for symptoms persisting beyond the acute disease. COVID-19 manifests with various degrees of severity and the identification of early biomarkers capable of stratifying patient based on risk of progression could allow tailored treatments.

Methods: We longitudinally analyzed 67 patients, classified according to a WHO ordinal scale as having Mild, Moderate, or Severe COVID-19.

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  • A study conducted on aged patients with COVID-19 pneumonia at a hospital in Italy aimed to define the immune responses related to the infection, particularly focusing on the effects of vaccination.
  • The study analyzed humoral responses (like antibody production) and cellular responses (like T-cell counts), comparing vaccinated and unvaccinated patients to understand their immunity levels and disease severity.
  • Results showed unvaccinated patients had worse outcomes and lower immune responses, with vaccinated individuals exhibiting higher antibody levels and T-cell counts, especially against the Delta variant.
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Recombination activating genes () are tightly regulated during lymphoid differentiation, and their mutations cause a spectrum of severe immunological disorders. Hematopoietic stem and progenitor cell (HSPC) transplantation is the treatment of choice but is limited by donor availability and toxicity. To overcome these issues, we developed gene editing strategies targeting a corrective sequence into the human gene by homology-directed repair (HDR) and validated them by tailored two-dimensional, three-dimensional, and in vivo xenotransplant platforms to assess rescue of expression and function.

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Aim/hypothesis: We assessed whether HOMA-IR and the Matsuda Index are associated with transitions through stages of type 1 diabetes.

Methods: Autoantibody (AAb)-positive relatives of individuals with type 1 diabetes (n=6256) from the TrialNet Pathway to Prevention were studied. Associations of indicators of insulin resistance (HOMA-IR) and insulin sensitivity (Matsuda Index) with BMI percentile (BMIp) and age were assessed with adjustments for measures of insulin secretion, Index60 and insulinogenic index (IGI).

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  • The study aimed to collect data on 244 patients with vestibular migraine (VM) across various university centers in Italy to explore and differentiate VM subtypes.
  • VM is a common type of episodic vertigo with varying symptoms, often diagnosed based on clinical history, including migrainous headaches or sensitivity to light/sound.
  • Results showed a significant correlation between the onset of vertigo and headaches, identifying different patient subgroups based on symptom characteristics and attack duration.
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  • Base and prime editors (BEs and PEs) offer a more precise method of genetic engineering compared to traditional nuclease-based techniques, as they avoid creating DNA double-strand breaks.
  • A study examined the effects of BEs and PEs on human hematopoietic stem and progenitor cells, revealing that these editors can lead to harmful transcriptional responses and lower editing efficiency while still causing some genotoxic effects, albeit less frequently than Cas9.
  • The findings suggest that while BEs and PEs show potential for genetic engineering, they may pose genotoxicity risks and impact the mutational landscape of cells, highlighting the need for further research before clinical applications.
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The "Healthcare workers' wellbeing [Benessere Operatori]" project is an exploratory longitudinal study assessing healthcare workers' mental health at three different time points over a 14-month period during the COVID-19 pandemic. We collected socio-demographic and work-related information and assessed the perceived social support, coping strategies, and levels of depression, anxiety, insomnia, anger, burnout, and PTSD symptoms. In total, 325 Italian healthcare workers (i.

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  • The study aims to identify Covid-19 patients most likely to experience severe outcomes using advanced data analysis techniques and standard statistical methods.* -
  • Tree-based analyses revealed that patients over 65 with high creatinine and CRP levels, and those on anti-hypertensive treatment, are at the highest risk for in-hospital death.* -
  • A Bayesian Network analysis further confirmed that creatinine and CRP levels significantly impact the severity of respiratory distress in these patients.*
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Background: Disease and treatment-associated immune system abnormalities may confer higher risk of Coronavirus disease 2019 (COVID-19) to people with multiple sclerosis (PwMS). We assessed modifiable risk factors associated with COVID-19 in PwMS.

Methods: Among patients referring to our MS Center, we retrospectively collected epidemiological, clinical and laboratory data of PwMS with confirmed COVID-19 between March 2020 and March 2021 (MS-COVID, n = 149).

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This paper is based on a retrospective longitudinal study on people living with HIV under antiretroviral treatment (ART) where allelic variants (either heterozygous CT genotype or homozygous CC genotype) have been evaluated at position -168 of the promoter region of the protein kinase R (-168/PKR). In general, antiviral effects of interferon are partially mediated by a RNA-dependent protein kinase (PKR) that, once activated, inhibits protein synthesis. Indeed, activation of PKR response can inhibit HIV replication.

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  • Scientists studied how gene editing works in special cells called HSPCs using a virus called AAV.
  • They found that AAV can stick around longer than expected and can cause DNA damage in those cells, which is not good for their health.
  • Using a different type of virus called IDLV instead, helps reduce the DNA damage and makes gene editing more effective, which is better for using this method in medical treatments.
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Background: COVID-19 forced healthcare workers to work in unprecedented and critical circumstances, exacerbating already-problematic and stressful working conditions. The "Healthcare workers' wellbeing (Benessere Operatori)" project aimed at identifying psychological and personal factors, influencing individuals' responses to the COVID-19 pandemic.

Methods: 291 healthcare workers took part in the project by answering an online questionnaire twice (after the first wave of COVID-19 and during the second wave) and completing questions on socio-demographic and work-related information, the Depression Anxiety Stress Scale-21, the Insomnia Severity Index, the Impact of Event Scale-Revised, the State-Trait Anger Expression Inventory-2, the Maslach Burnout Inventory, the Multidimensional Scale of Perceived Social Support, and the Brief Cope.

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This contribution explores in a new statistical perspective the antibody responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 141 coronavirus disease 2019 (COVID-19) patients exhibiting a broad range of clinical manifestations. This cohort accurately reflects the characteristics of the first wave of the SARS-CoV-2 pandemic in Italy. We determined the IgM, IgA, and IgG levels towards SARS-CoV-2 S1, S2, and NP antigens, evaluating their neutralizing activity and relationship with clinical signatures.

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Aims: Alterations of the exocrine pancreas have been reported in type 1 diabetes, but their contribution to the pathogenesis of the disease is poorly understood. Here, we investigated markers of exocrine pancreas dysfunction in individuals at-risk of developing type 1 diabetes.

Methods: Serum P-amylase and lipase levels were assessed in samples obtained from healthy controls, patients with new onset type 1 diabetes, relatives participating to the TrialNet Pathway to Prevention who were, at blood collection, autoantibody negative or positive for a single autoantibody (low-risk individuals), and positive for multiple autoantibodies (high-risk individuals).

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Background: Host inflammation contributes to determine whether SARS-CoV-2 infection causes mild or life-threatening disease. Tools are needed for early risk assessment.

Methods: We studied in 111 COVID-19 patients prospectively followed at a single reference Hospital fifty-three potential biomarkers including alarmins, cytokines, adipocytokines and growth factors, humoral innate immune and neuroendocrine molecules and regulators of iron metabolism.

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Article Synopsis
  • Recent mass screening efforts have been conducted to understand immunity levels against SARS-CoV-2, particularly as vaccination campaigns gain momentum around the world.
  • Lateral flow assays (LFAs) have emerged as a cost-effective option for population screening in lower-income countries, but their performance varies widely, necessitating careful evaluation.
  • The study evaluated 11 LFAs for detecting SARS-CoV-2 infection and post-vaccination IgG responses, revealing significant differences in their specificity and sensitivity, as well as potential challenges in high-TB-burden regions.
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In this paper, we focus on a Bayesian network s approach to combine traditional survey and social network data and official statistics to evaluate well-being. Bayesian networks permit the use of data with different geographical levels (provincial and regional) and time frequencies (daily, quarterly, and annual). The aim of this study was twofold: to describe the relationship between survey and social network data and to investigate the link between social network data and official statistics.

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In this study, we characterize the natural course of metachromatic leukodystrophy (MLD), explore intra/inter group differences, and identify biomarkers to monitor disease progression. This is a longitudinal observational study. Genotype and characteristics at disease onset were recorded.

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Objective: Referring to Leventhal's common-sense model, this observational cross-sectional study aimed at investigating the relationship between illness mental representations, coping mechanisms and psychological distress in a sample of women with gestational trophoblastic disease (GTD).

Methods: Thirty-eight women diagnosed with GTD (18 with hydatidiform mole; 20 with gestational trophoblastic neoplasia) were asked to complete the Illness Perception Questionnaire-Revised, the Coping Orientation to the Problems Experienced, the State-Trait Anxiety Inventory-Form Y and the Beck Depression Inventory-Short Form. Demographic and clinical information was collected through a self-report questionnaire.

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  • * It specifically examines the role of renin-angiotensin-aldosterone system inhibitors (RAASi) in COVID-19 treatment, finding that these medications significantly reduce the risk of in-hospital death.
  • * The researchers recommend further randomized controlled trials to evaluate the effectiveness of starting RAASi treatment in hospitalized COVID-19 patients to confirm these findings.
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Pulmonary infections caused by (MA) have increased over recent decades, affecting individuals with underlying pathologies such as chronic obstructive pulmonary disease, bronchiectasis and, especially, cystic fibrosis. The lack of a representative and standardized model of chronic infection in mice has limited steps forward in the field of pulmonary infection. To overcome this challenge, we refined the method of agar beads to establish chronic infection in immunocompetent mice.

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Conversation-based training programmes are known to be effective in enhancing theory of mind (ToM). The possible consequences of such training programmes on the understanding of other constructs have rarely been investigated. The present research aimed to evaluate the effects of two different types of conversation-based training on ToM and loneliness.

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Targeted gene editing in hematopoietic stem cells (HSCs) is a promising treatment for several diseases. However, the limited efficiency of homology-directed repair (HDR) in HSCs and the unknown impact of the procedure on clonal composition and dynamics of transplantation have hampered clinical translation. Here, we apply a barcoding strategy to clonal tracking of edited cells (BAR-Seq) and show that editing activates p53, which substantially shrinks the HSC clonal repertoire in hematochimeric mice, although engrafted edited clones preserve multilineage and self-renewing capacity.

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