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1.
Front Immunol ; 13: 946356, 2022.
Article in English | MEDLINE | ID: covidwho-2022726

ABSTRACT

Monitoring immune responses to SARS-CoV-2 vaccination and its clinical efficacy over time in Multiple Sclerosis (MS) patients treated with disease-modifying therapies (DMTs) help to establish the optimal strategies to ensure adequate COVID-19 protection without compromising disease control offered by DMTs. Following our previous observations on the humoral response one month after two doses of BNT162b2 vaccine (T1) in MS patients differently treated, here we present a cross-sectional and longitudinal follow-up analysis six months following vaccination (T2, n=662) and one month following the first booster (T3, n=185). Consistent with results at T1, humoral responses were decreased in MS patients treated with fingolimod and anti-CD20 therapies compared with untreated patients also at the time points considered here (T2 and T3). Interestingly, a strong upregulation one month after the booster was observed in patients under every DMTs analyzed, including those treated with fingolimod and anti-CD20 therapies. Although patients taking these latter therapies had a higher rate of COVID-19 infection five months after the first booster, only mild symptoms that did not require hospitalization were reported for all the DMTs analyzed here. Based on these findings we anticipate that additional vaccine booster shots will likely further improve immune responses and COVID-19 protection in MS patients treated with any DMT.


Subject(s)
COVID-19 , Multiple Sclerosis , BNT162 Vaccine , COVID-19/prevention & control , COVID-19 Vaccines , Cross-Sectional Studies , Fingolimod Hydrochloride/therapeutic use , Follow-Up Studies , Humans , Multiple Sclerosis/drug therapy , SARS-CoV-2 , Vaccination
2.
Microbiol Spectr ; 10(4): e0128022, 2022 08 31.
Article in English | MEDLINE | ID: covidwho-1950019

ABSTRACT

In this work, we observed an increased presence of antibodies (Abs) against type I interferon (IFN-I) in coronavirus disease 2019 (COVID-19) patients admitted to the intensive care unit (ICU) compared to non-ICU COVID-19 patients and healthy control (HC) subjects. Human endogenous retrovirus W (HERV-W) can reactivate after viral infection; therefore, we also investigated the presence of antibodies against HERV-W envelope (HERV-W-env)-derived epitopes. A total of 113 subjects (41 female and 72 male subjects) were analyzed. A significant difference in autoantibodies against IFN-α, IFN-ω, and HERV-W was observed between HCs and ICU patients; indeed, the latter have higher levels of autoantibodies against IFN-α, IFN-ω, and HERV-W than subjects with mild COVID-19 and HCs. Neutralizing anti-IFN-I autoantibodies may affect the ability of IFN-I to bind to the type I interferon receptor (IFNAR), blocking the activation of the antiviral response. IMPORTANCE In this work, we report the increased presence of IFN autoantibodies in correlation with HERV-W-env autoantibodies in ICU COVID-19 patients. The novelty of the results is in the association of these IFN autoantibodies with autoantibodies against HERV-W-env, a protein recently discovered to be overexpressed in lymphocytes of COVID-19 patients and correlated with severe disease and pneumonia. Type I IFNs are part of a complex cross-regulatory network; however, in a small percentage of cases, the increase in autoantibodies against these proteins may lead to damage to the host instead of protection against infectious diseases.


Subject(s)
COVID-19 , Endogenous Retroviruses , Interferon Type I , Autoantibodies , Female , Humans , Intensive Care Units , Male
3.
Sci Rep ; 12(1): 364, 2022 01 10.
Article in English | MEDLINE | ID: covidwho-1617003

ABSTRACT

RNA-binding proteins (RBPs) interact with and determine the fate of many cellular RNAs directing numerous essential roles in cellular physiology. Nuclear Factor 90 (NF90) is an RBP encoded by the interleukin enhancer-binding factor 3 (ILF3) gene that has been found to influence RNA metabolism at several levels, including pre-RNA splicing, mRNA turnover, and translation. To systematically identify the RNAs that interact with NF90, we carried out iCLIP (individual-nucleotide resolution UV crosslinking and immunoprecipitation) analysis in the human embryonic fibroblast cell line HEK-293. Interestingly, many of the identified RNAs encoded proteins involved in the response to viral infection and RNA metabolism. We validated a subset of targets and investigated the impact of NF90 on their expression levels. Two of the top targets, IRF3 and IRF9 mRNAs, encode the proteins IRF3 and IRF9, crucial regulators of the interferon pathway involved in the SARS-CoV-2 immune response. Our results support a role for NF90 in modulating key genes implicated in the immune response and offer insight into the immunological response to the SARS-CoV-2 infection.


Subject(s)
COVID-19/metabolism , Immunoprecipitation/methods , Nuclear Factor 90 Proteins/metabolism , RNA-Binding Proteins/metabolism , RNA/metabolism , SARS-CoV-2/metabolism , COVID-19/virology , Cells, Cultured , HEK293 Cells , Humans , Interferon Regulatory Factor-3/genetics , Interferon Regulatory Factor-3/metabolism , Interferon-Stimulated Gene Factor 3, gamma Subunit/genetics , Interferon-Stimulated Gene Factor 3, gamma Subunit/metabolism , Nuclear Factor 90 Proteins/genetics , Protein Binding , RNA/genetics , RNA Interference , RNA Stability , RNA, Messenger/genetics , RNA, Messenger/metabolism , RNA-Binding Proteins/genetics , RNA-Seq/methods , SARS-CoV-2/genetics , SARS-CoV-2/physiology
4.
Front Immunol ; 12: 781843, 2021.
Article in English | MEDLINE | ID: covidwho-1581326

ABSTRACT

Objectives: Vaccination against COVID-19 is highly recommended to patients affected by multiple sclerosis (MS); however, the impact of MS disease-modifying therapies (DMTs) on the immune response following vaccination has been only partially investigated. Here, we aimed to elucidate the effect of DMTs on the humoral immune response to mRNA-based anti-SARS-CoV-2 vaccines in MS patients. Methods: We obtained sera from 912 Sardinian MS patients and 63 healthy controls 30 days after the second dose of BNT162b2 vaccine and tested them for SARS-CoV-2 response using anti-Spike (S) protein-based serology. Previous SARS-CoV-2 infection was assessed by anti-Nucleocapsid (N) serology. Patients were either untreated or undergoing treatment with a total of 13 different DMTs. Differences between treatment groups comprised of at least 10 patients were assessed by generalized linear mixed-effects model. Demographic and clinical data and smoking status were analyzed as additional factors potentially influencing humoral immunity from COVID-19 vaccine. Results: MS patients treated with natalizumab, teriflunomide, azathioprine, fingolimod, ocrelizumab, and rituximab showed significantly lower humoral responses compared to untreated patients. We did not observe a statistically significant difference in response between patients treated with the other drugs (dimethyl fumarate, interferon, alemtuzumab and glatiramer acetate) and untreated patients. In addition, older age, male sex and active smoking were significantly associated with lower antibody titers against SARS-CoV-2. MS patients previously infected with SARS-CoV-2 had significantly higher humoral responses to vaccine than uninfected patients. Conclusion: Humoral response to BNT162b2 is significantly influenced by the specific DMTs followed by patients, as well as by other factors such as previous SARS-CoV-2 infection, age, sex, and smoking status. These results are important to inform targeted strategies to prevent clinically relevant COVID-19 in MS patients.


Subject(s)
Antirheumatic Agents/therapeutic use , BNT162 Vaccine/immunology , COVID-19/prevention & control , Immunogenicity, Vaccine/drug effects , Multiple Sclerosis/drug therapy , Adult , Antibodies, Viral/immunology , Female , Humans , Italy , Male , Middle Aged , SARS-CoV-2 , Seroconversion/drug effects
5.
J Infect Dev Ctries ; 15(11): 1640-1645, 2021 11 30.
Article in English | MEDLINE | ID: covidwho-1572709

ABSTRACT

INTRODUCTION: To analyze the virus spread among Sassari Hospital staff in the first Covid-19 wave and the impact of the Swab Team, a multidisciplinary task force entitled of nasopharyngeal swab collection and testing. METHODOLOGY: Nasopharyngeal swabs from HCWs between March 6 and May 28 2020 are evaluated. RESULTS: 4919 SARS-CoV-2 tests were performed on 3521 operators. Nurses and doctors are the categories at highest risk. After the Swab Team institution, the average number of swabs raised from 47/day to 86/day (p = 0.007). Positive samples decreased from 18.6% to 1.7% (p < 0.0001). CONCLUSIONS: The Swab Team is effective in increasing the cases tested and in reducing the reporting time. Procedure standardization reduces the risk for all the subjects involved (no transmission among swab team members, nor during the sample collection).


Subject(s)
COVID-19/prevention & control , Medical Staff, Hospital , Occupational Diseases/prevention & control , Patient Care Team , SARS-CoV-2 , Specimen Handling , Adult , COVID-19/diagnosis , COVID-19/epidemiology , Female , Humans , Italy/epidemiology , Male , Middle Aged , Pandemics , Retrospective Studies
6.
Pediatr Neurol ; 121: 1-2, 2021 08.
Article in English | MEDLINE | ID: covidwho-1230710

Subject(s)
COVID-19 , SARS-CoV-2 , Humans
7.
J Infect Dev Ctries ; 15(2): 242-246, 2021 03 07.
Article in English | MEDLINE | ID: covidwho-1125809

ABSTRACT

The spread of new SARS-CoV-2 variants represents a serious threat worldwide, thus rapid and cost-effective methods are required for their identification. Since November 2020, the TaqPath COVID-19 assay (Thermo Fisher Scientific) has been used to identify viral strains of the new lineage B.1.1.7, since it fails to detect the S-gene with the ∆69/70 deletion. Here, we proposed S-gene mutations screening with the Allplex SARS-CoV-2 assay (Seegene), another widely used RT-PCR test that targets Sarbecovirus E, SARS-CoV-2 N, and RdRp/S genes. Accordingly, we evaluated the S gene amplification curve pattern compared to those of the other genes. Exploiting an Allplex assay-generated dataset, we screened 663 RT-PCR digital records, including all SARS-CoV-2 respiratory samples tested in our laboratory with the Allplex assay between January 1st and February 25th, 2021. This approach enabled us to detect 64 samples with peculiar non-sigmoidal amplification curves. Sequencing a selected group of 4 RNA viral genomes demonstrated that those curves were associated with B.1.1.7 variant strains. Our results strongly suggest that B.1.1.7 variant spread has begun in this area at least since January and imply the potential of these analytical methods to track and characterize the spread of B.1.1.7 strains in those areas where Allplex SARS-CoV-2 datasets have been previously recorded.


Subject(s)
COVID-19/epidemiology , COVID-19/virology , Mutation , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/genetics , Gene Amplification , High-Throughput Nucleotide Sequencing , Humans , Italy/epidemiology , Retrospective Studies , Reverse Transcriptase Polymerase Chain Reaction/methods , SARS-CoV-2/isolation & purification
8.
Microorganisms ; 8(12)2020 Dec 14.
Article in English | MEDLINE | ID: covidwho-1024611

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can cause serious illness in older adults and people with chronic underlying medical conditions; however, children and young people are often asymptomatic or with mild symptoms. We evaluated the presence of specific antibodies (Abs) response against Human coronavirus NL63 (HCoV-NL63) S protein epitopes (NL63-RBM1, NL63-RBM2_1, NL63-RBM2_2, NL63-RBM3, NL63-SPIKE541-554, and NL63-DISC-like) and SARS-CoV-2 epitopes (COV2-SPIKE421-434 and COV2-SPIKE742-759) in plasma samples of pre-pandemic, mid-pandemic, and COVID-19 cohorts by indirect ELISA. Moreover, a competitive assay was performed to check for cross reactivity response between COV2-SPIKE421-434 and NL63-RBM3 among patients with a definitive diagnosis of SARS-CoV-2. Immune reaction against all SARS-CoV-2 and HCoV-NL63 epitopes showed a significantly higher response in pre-pandemic patients compared to mid-pandemic patients. The results indicate that probably antibodies against HCoV-NL63 may be able to cross react with SARS-CoV-2 epitopes and the higher incidence in pre-pandemic was probably due to the timing of collection when a high incidence of HCoV-NL63 is reported. In addition, the competitive assay showed cross-reactivity between antibodies directed against COV2-SPIKE421-434 and NL63-RBM3 peptides. Pre-existing HCoV-NL63 antibody response cross reacting with SARS-CoV-2 has been detected in both pre- and mid-pandemic individual, suggesting that previous exposure to HCoV-NL63 epitopes may produce antibodies which could confer a protective immunity against SARS-CoV-2 and probably reduce the severity of the disease.

9.
Otolaryngol Head Neck Surg ; 163(3): 459-461, 2020 09.
Article in English | MEDLINE | ID: covidwho-378045

ABSTRACT

Reverse transcriptase polymerase chain reaction (RT-PCR) detection of SARS-CoV-2 mRNA on nasopharyngeal swab is the standard for diagnosing active COVID-19 disease in asymptomatic cases and in symptomatic patients without the typical radiologic findings. For the present COVID-19 outbreak in Italy, we describe 4 symptomatic patients with negative RT-PCR results at the first nasopharyngeal swab, which became positive when collected a few hours later by an otolaryngologist. All the patients showed nasal obstruction. The present report suggests that inadequate nasopharyngeal sampling performed by untrained operators in the presence of nasal obstruction can be a relevant case of false-negative findings at RT-PCR, with a clear negative impact on the efforts to contain the current outbreak.


Subject(s)
Clinical Competence , Coronavirus Infections/diagnosis , Nasopharynx/virology , Pneumonia, Viral/diagnosis , Specimen Handling/methods , Aged , Betacoronavirus , COVID-19 , False Negative Reactions , Female , Humans , Italy , Male , Middle Aged , Nasal Obstruction/complications , Pandemics , Reverse Transcriptase Polymerase Chain Reaction , SARS-CoV-2
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