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1.
Nat Struct Mol Biol ; 29(3): 194-202, 2022 03.
Artigo em Inglês | MEDLINE | ID: mdl-35210614

RESUMO

Lipid droplets (LDs) form in the endoplasmic reticulum by phase separation of neutral lipids. This process is facilitated by the seipin protein complex, which consists of a ring of seipin monomers, with a yet unclear function. Here, we report a structure of S. cerevisiae seipin based on cryogenic-electron microscopy and structural modeling data. Seipin forms a decameric, cage-like structure with the lumenal domains forming a stable ring at the cage floor and transmembrane segments forming the cage sides and top. The transmembrane segments interact with adjacent monomers in two distinct, alternating conformations. These conformations result from changes in switch regions, located between the lumenal domains and the transmembrane segments, that are required for seipin function. Our data indicate a model for LD formation in which a closed seipin cage enables triacylglycerol phase separation and subsequently switches to an open conformation to allow LD growth and budding.


Assuntos
Subunidades gama da Proteína de Ligação ao GTP , Gotículas Lipídicas , Retículo Endoplasmático/metabolismo , Subunidades gama da Proteína de Ligação ao GTP/química , Gotículas Lipídicas/química , Gotículas Lipídicas/metabolismo , Metabolismo dos Lipídeos , Proteínas de Membrana/metabolismo , Saccharomyces cerevisiae/metabolismo
2.
JAMA Pediatr ; 175(6): 586-593, 2021 06 01.
Artigo em Inglês | MEDLINE | ID: mdl-33480966

RESUMO

Importance: School and daycare closures were enforced as measures to confine the novel coronavirus disease 2019 (COVID-19) pandemic, based on the assumption that young children may play a key role in severe acute respiratory coronavirus 2 (SARS-CoV-2) spread. Given the grave consequences of contact restrictions for children, a better understanding of their contribution to the COVID-19 pandemic is of great importance. Objective: To describe the rate of SARS-CoV-2 infections and the seroprevalence of SARS-CoV-2 antibodies in children aged 1 to 10 years, compared with a corresponding parent of each child, in a population-based sample. Design, Setting, and Participants: This large-scale, multicenter, cross-sectional investigation (the COVID-19 BaWü study) enrolled children aged 1 to 10 years and a corresponding parent between April 22 and May 15, 2020, in southwest Germany. Exposures: Potential exposure to SARS-CoV-2. Main Outcomes and Measures: The main outcomes were infection and seroprevalence of SARS-CoV-2. Participants were tested for SARS-CoV-2 RNA from nasopharyngeal swabs by reverse transcription-polymerase chain reaction and SARS-CoV-2 specific IgG antibodies in serum by enzyme-linked immunosorbent assays and immunofluorescence tests. Discordant results were clarified by electrochemiluminescence immunoassays, a second enzyme-linked immunosorbent assay, or an in-house Luminex-based assay. Results: This study included 4964 participants: 2482 children (median age, 6 [range, 1-10] years; 1265 boys [51.0%]) and 2482 parents (median age, 40 [range, 23-66] years; 615 men [24.8%]). Two participants (0.04%) tested positive for SARS-CoV-2 RNA. The estimated SARS-CoV-2 seroprevalence was low in parents (1.8% [95% CI, 1.2-2.4%]) and 3-fold lower in children (0.6% [95% CI, 0.3-1.0%]). Among 56 families with at least 1 child or parent with seropositivity, the combination of a parent with seropositivity and a corresponding child with seronegativity was 4.3 (95% CI, 1.19-15.52) times higher than the combination of a parent who was seronegative and a corresponding child with seropositivity. We observed virus-neutralizing activity for 66 of 70 IgG-positive serum samples (94.3%). Conclusions and Relevance: In this cross-sectional study, the spread of SARS-CoV-2 infection during a period of lockdown in southwest Germany was particularly low in children aged 1 to 10 years. Accordingly, it is unlikely that children have boosted the pandemic. This SARS-CoV-2 prevalence study, which appears to be the largest focusing on children, is instructive for how ad hoc mass testing provides the basis for rational political decision-making in a pandemic.


Assuntos
Anticorpos Antivirais/sangue , COVID-19/diagnóstico , COVID-19/epidemiologia , SARS-CoV-2/isolamento & purificação , Adulto , Distribuição por Idade , Fatores Etários , Idoso , COVID-19/sangue , Teste Sorológico para COVID-19 , Criança , Pré-Escolar , Estudos Transversais , Alemanha/epidemiologia , Humanos , Imunoglobulina A/sangue , Imunoglobulina G/sangue , Imunoglobulina M/sangue , Masculino , Pessoa de Meia-Idade , Pais , Prevalência , Estudos Soroepidemiológicos
3.
Bioessays ; 43(3): e2000257, 2021 03.
Artigo em Inglês | MEDLINE | ID: mdl-33377226

RESUMO

Emergence of the novel pathogenic coronavirus SARS-CoV-2 and its rapid pandemic spread presents challenges that demand immediate attention. Here, we describe the development of a semi-quantitative high-content microscopy-based assay for detection of three major classes (IgG, IgA, and IgM) of SARS-CoV-2 specific antibodies in human samples. The possibility to detect antibodies against the entire viral proteome together with a robust semi-automated image analysis workflow resulted in specific, sensitive and unbiased assay that complements the portfolio of SARS-CoV-2 serological assays. Sensitive, specific and quantitative serological assays are urgently needed for a better understanding of humoral immune response against the virus as a basis for developing public health strategies to control viral spread. The procedure described here has been used for clinical studies and provides a general framework for the application of quantitative high-throughput microscopy to rapidly develop serological assays for emerging virus infections.


Assuntos
Anticorpos Antivirais/sangue , COVID-19/diagnóstico , Imunoensaio , Imunoglobulina A/sangue , Imunoglobulina G/sangue , Imunoglobulina M/sangue , Microscopia/métodos , SARS-CoV-2/imunologia , COVID-19/imunologia , COVID-19/virologia , Teste para COVID-19/métodos , Imunofluorescência , Ensaios de Triagem em Larga Escala , Humanos , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Soros Imunes/química , Aprendizado de Máquina , Sensibilidade e Especificidade
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