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  1. Article ; Online: New mechanistic insights of the pathogenicity of high-risk cytomegalovirus (CMV) strains derived from breast cancer: Hope for new cancer therapy options.

    Söderberg-Nauclér, Cecilia

    EBioMedicine

    2022  Volume 81, Page(s) 104103

    MeSH term(s) Breast Neoplasms/drug therapy ; Breast Neoplasms/etiology ; Cytomegalovirus ; Cytomegalovirus Infections ; Female ; Humans ; Infectious Disease Transmission, Vertical ; Virulence
    Language English
    Publishing date 2022-06-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2022.104103
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Does reactivation of cytomegalovirus contribute to severe COVID-19 disease?

    Söderberg-Nauclér, Cecilia

    Immunity & ageing : I & A

    2021  Volume 18, Issue 1, Page(s) 12

    Abstract: The majority of people infected with SARS-CoV-2 are asymptomatic or have mild to moderate symptoms. However, for unknown reasons, about 15 % have severe pneumonia requiring hospital care and oxygen support, and about 5 % develop acute respiratory ... ...

    Abstract The majority of people infected with SARS-CoV-2 are asymptomatic or have mild to moderate symptoms. However, for unknown reasons, about 15 % have severe pneumonia requiring hospital care and oxygen support, and about 5 % develop acute respiratory distress syndrome, septic shock, and multiorgan failure that result in a high mortality rate. The risk of severe COVID-19 is highest among those who are over 70 years of age. Why severe COVID-19 develops in some people but not others is not understood. Could some cases involve reactivation of latent cytomegalovirus (CMV)?
    Language English
    Publishing date 2021-03-12
    Publishing country England
    Document type Letter
    ISSN 1742-4933
    ISSN 1742-4933
    DOI 10.1186/s12979-021-00218-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: New mechanistic insights of the pathogenicity of high-risk cytomegalovirus (CMV) strains derived from breast cancer

    Cecilia Söderberg-Nauclér

    EBioMedicine, Vol 81, Iss , Pp 104103- (2022)

    Hope for new cancer therapy options

    2022  

    Keywords Medicine ; R ; Medicine (General) ; R5-920
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: COVID-19 Modeling Outcome versus Reality in Sweden.

    Carlsson, Marcus / Söderberg-Nauclér, Cecilia

    Viruses

    2022  Volume 14, Issue 8

    Abstract: It has been very difficult to predict the development of the COVID-19 pandemic based on mathematical models for the spread of infectious diseases, and due to major non-pharmacological interventions (NPIs), it is still unclear to what extent the models ... ...

    Abstract It has been very difficult to predict the development of the COVID-19 pandemic based on mathematical models for the spread of infectious diseases, and due to major non-pharmacological interventions (NPIs), it is still unclear to what extent the models would have fit reality in a "do nothing" scenario. To shed light on this question, the case of Sweden during the time frame from autumn 2020 to spring 2021 is particularly interesting, since the NPIs were relatively minor and only marginally updated. We found that state of the art models are significantly overestimating the spread, unless we assume that social interactions significantly decrease continuously throughout the time frame, in a way that does not correlate well with Google-mobility data nor updates to the NPIs or public holidays. This leads to the question of whether modern SEIR-type mathematical models are unsuitable for modeling the spread of SARS-CoV-2 in the human population, or whether some particular feature of SARS-CoV-2 dampened the spread. We show that, by assuming a certain level of pre-immunity to SARS-CoV-2, we obtain an almost perfect data-fit, and discuss what factors could cause pre-immunity in the mathematical models. In this scenario, a form of herd-immunity under the given restrictions was reached twice (first against the Wuhan-strain and then against the alpha-strain), and the ultimate decline in cases was due to depletion of susceptibles rather than the vaccination campaign.
    MeSH term(s) COVID-19/epidemiology ; Humans ; Immunity, Herd ; Pandemics/prevention & control ; SARS-CoV-2 ; Sweden/epidemiology
    Language English
    Publishing date 2022-08-22
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v14081840
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A note on variable susceptibility, the herd-immunity threshold and modeling of infectious diseases.

    Carlsson, Marcus / Wittsten, Jens / Söderberg-Nauclér, Cecilia

    PloS one

    2023  Volume 18, Issue 2, Page(s) e0279454

    Abstract: The unfolding of the COVID-19 pandemic has been very difficult to predict using mathematical models for infectious diseases. While it has been demonstrated that variations in susceptibility have a damping effect on key quantities such as the incidence ... ...

    Abstract The unfolding of the COVID-19 pandemic has been very difficult to predict using mathematical models for infectious diseases. While it has been demonstrated that variations in susceptibility have a damping effect on key quantities such as the incidence peak, the herd-immunity threshold and the final size of the pandemic, this complex phenomenon is almost impossible to measure or quantify, and it remains unclear how to incorporate it for modeling and prediction. In this work we show that, from a modeling perspective, variability in susceptibility on an individual level is equivalent with a fraction θ of the population having an "artificial" sterilizing immunity. We also derive novel formulas for the herd-immunity threshold and the final size of the pandemic, and show that these values are substantially lower than predicted by the classical formulas, in the presence of variable susceptibility. In the particular case of SARS-CoV-2, there is by now undoubtedly variable susceptibility due to waning immunity from both vaccines and previous infections, and our findings may be used to greatly simplify models. If such variations were also present prior to the first wave, as indicated by a number of studies, these findings can help explain why the magnitude of the initial waves of SARS-CoV-2 was relatively low, compared to what one may have expected based on standard models.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Pandemics/prevention & control ; Communicable Diseases/epidemiology ; Vaccines ; Immunity, Herd
    Chemical Substances Vaccines
    Language English
    Publishing date 2023-02-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0279454
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Cytomegalovirus infection among people living with HIV in Sweden: Case profiles, treatment strategies and patient outcomes at Karolinska University Hospital 2010-2020.

    Xu, Xinling / Andersson, Emmi / Rahbar, Afsar / Söderberg-Nauclér, Cecilia / Nowak, Piotr

    HIV medicine

    2024  

    Abstract: Objectives: In countries with access to early antiretroviral treatment (ART), opportunistic infections caused by cytomegalovirus (CMV) in people living with HIV (PLWH) are becoming increasingly rare. As potential complications are severe, it is critical ...

    Abstract Objectives: In countries with access to early antiretroviral treatment (ART), opportunistic infections caused by cytomegalovirus (CMV) in people living with HIV (PLWH) are becoming increasingly rare. As potential complications are severe, it is critical to remain aware of this important diagnosis. However, clinical characteristics and prognosis of CMV infection in PLWH in the era of modern ART have not been well described.
    Methods: Here, we compiled the clinical presentation, management and outcome of CMV infection in PLWH treated at the infectious diseases clinic of Karolinska University Hospital during 2010-2020.
    Results: We identified 51 cases of active CMV infection, based on detection of CMV-DNA, mainly diagnosed in patients with CD4 T-cell count <200 cells/μL (86%). Median time from HIV diagnosis to detection of CMV infection was 16 days. In 20 cases (39%), CMV infection was symptomatic with retinitis identified as a manifestation in 70% of cases. Symptomatic CMV infection was treated for 73 (20-313) days upon diagnosis, mostly using valganciclovir. One-year mortality was 22% and was associated with longer time to ART initiation from HIV diagnosis and with comorbidities, but not with CMV-DNA levels or CD4 count. Immune reconstitution was not significantly compromised in patients with symptomatic CMV, although CD4/8 ratio tended to be lower in patients with systemic CMV infection.
    Conclusions: Retinitis remains the most common manifestation of symptomatic CMV infection in PLWH. Recognizing CMV infection is important, especially in the management of 'late presenters'. Adequate duration of antiviral therapy and appropriate follow-up must be ensured to avoid complications.
    Language English
    Publishing date 2024-02-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 2001932-4
    ISSN 1468-1293 ; 1464-2662
    ISSN (online) 1468-1293
    ISSN 1464-2662
    DOI 10.1111/hiv.13618
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A note on variable susceptibility, the herd-immunity threshold and modeling of infectious diseases

    Marcus Carlsson / Jens Wittsten / Cecilia Söderberg-Nauclér

    PLoS ONE, Vol 18, Iss

    2023  Volume 2

    Abstract: The unfolding of the COVID-19 pandemic has been very difficult to predict using mathematical models for infectious diseases. While it has been demonstrated that variations in susceptibility have a damping effect on key quantities such as the incidence ... ...

    Abstract The unfolding of the COVID-19 pandemic has been very difficult to predict using mathematical models for infectious diseases. While it has been demonstrated that variations in susceptibility have a damping effect on key quantities such as the incidence peak, the herd-immunity threshold and the final size of the pandemic, this complex phenomenon is almost impossible to measure or quantify, and it remains unclear how to incorporate it for modeling and prediction. In this work we show that, from a modeling perspective, variability in susceptibility on an individual level is equivalent with a fraction θ of the population having an “artificial” sterilizing immunity. We also derive novel formulas for the herd-immunity threshold and the final size of the pandemic, and show that these values are substantially lower than predicted by the classical formulas, in the presence of variable susceptibility. In the particular case of SARS-CoV-2, there is by now undoubtedly variable susceptibility due to waning immunity from both vaccines and previous infections, and our findings may be used to greatly simplify models. If such variations were also present prior to the first wave, as indicated by a number of studies, these findings can help explain why the magnitude of the initial waves of SARS-CoV-2 was relatively low, compared to what one may have expected based on standard models.
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article: Presence of the Human Cytomegalovirus in Glioblastomas-A Systematic Review.

    Peredo-Harvey, Inti / Rahbar, Afsar / Söderberg-Nauclér, Cecilia

    Cancers

    2021  Volume 13, Issue 20

    Abstract: Glioblastoma is a malignant brain tumor with a dismal prognosis. The standard treatment has not changed in the past 15 years as clinical trials of new treatment protocols have failed. A high prevalence of the human cytomegalovirus (HCMV) in glioblastomas ...

    Abstract Glioblastoma is a malignant brain tumor with a dismal prognosis. The standard treatment has not changed in the past 15 years as clinical trials of new treatment protocols have failed. A high prevalence of the human cytomegalovirus (HCMV) in glioblastomas was first reported in 2002. The virus was found only in the tumor and not in the surrounding healthy brain tissue. Many groups have confirmed the presence of the HCMV in glioblastomas, but others could not. To resolve this discrepancy, we systematically reviewed 645 articles identified in different databases. Of these, 81 studies included results from 247 analyses of 9444 clinical samples (7024 tumor samples and 2420 blood samples) by different techniques, and 81 articles included 191 studies that identified the HCMV in 2529 tumor samples (36% of all tumor samples). HCMV proteins were often detected, whereas HCMV nucleic acids were not reliably detected by PCR methods. Optimized immunohistochemical techniques identified the virus in 1391 (84,2%) of 1653 samples. These data suggest that the HCMV is highly prevalent in glioblastomas and that optimized immunohistochemistry techniques are required to detect it.
    Language English
    Publishing date 2021-10-09
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers13205051
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: COVID-19 Modeling Outcome versus Reality in Sweden

    Carlsson, Marcus / Söderberg-Nauclér, Cecilia

    Viruses. 2022 Aug. 22, v. 14, no. 8

    2022  

    Abstract: It has been very difficult to predict the development of the COVID-19 pandemic based on mathematical models for the spread of infectious diseases, and due to major non-pharmacological interventions (NPIs), it is still unclear to what extent the models ... ...

    Abstract It has been very difficult to predict the development of the COVID-19 pandemic based on mathematical models for the spread of infectious diseases, and due to major non-pharmacological interventions (NPIs), it is still unclear to what extent the models would have fit reality in a “do nothing” scenario. To shed light on this question, the case of Sweden during the time frame from autumn 2020 to spring 2021 is particularly interesting, since the NPIs were relatively minor and only marginally updated. We found that state of the art models are significantly overestimating the spread, unless we assume that social interactions significantly decrease continuously throughout the time frame, in a way that does not correlate well with Google-mobility data nor updates to the NPIs or public holidays. This leads to the question of whether modern SEIR-type mathematical models are unsuitable for modeling the spread of SARS-CoV-2 in the human population, or whether some particular feature of SARS-CoV-2 dampened the spread. We show that, by assuming a certain level of pre-immunity to SARS-CoV-2, we obtain an almost perfect data-fit, and discuss what factors could cause pre-immunity in the mathematical models. In this scenario, a form of herd-immunity under the given restrictions was reached twice (first against the Wuhan-strain and then against the alpha-strain), and the ultimate decline in cases was due to depletion of susceptibles rather than the vaccination campaign.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; autumn ; decline ; herd immunity ; human population ; spring ; vaccination ; Sweden
    Language English
    Dates of publication 2022-0822
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2516098-9
    ISSN 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v14081840
    Database NAL-Catalogue (AGRICOLA)

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  10. Article ; Online: CMV and NK Cells: An Unhealthy Tryst?

    Söderberg-Nauclér, Cecilia

    Cell host & microbe

    2016  Volume 19, Issue 3, Page(s) 277–279

    Abstract: Cytomegalovirus (CMV) has been associated with autoimmune diseases, but linking this common virus to disease pathology has been difficult. In this issue of Cell Host & Microbe, Liu et al. (2016) identify a CMV-cross-reactive autoantibody that also ... ...

    Abstract Cytomegalovirus (CMV) has been associated with autoimmune diseases, but linking this common virus to disease pathology has been difficult. In this issue of Cell Host & Microbe, Liu et al. (2016) identify a CMV-cross-reactive autoantibody that also recognizes CIP2A on natural killer cells, possibly affecting their function in autoimmune patients.
    MeSH term(s) Cytomegalovirus ; Cytomegalovirus Infections/virology ; Humans ; Killer Cells, Natural/immunology
    Language English
    Publishing date 2016-02-26
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2278004-X
    ISSN 1934-6069 ; 1931-3128
    ISSN (online) 1934-6069
    ISSN 1931-3128
    DOI 10.1016/j.chom.2016.02.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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