Dataset Information

Quantitative proteomic analysis of serum samples from OAPS patients and healthy controls

ABSTRACT: Early identification of potential risk factors and timely intervention, are crucial for reducing the rates of severe illness and mortality. As such, there is a pressing need to focus more on the care of severe patients and reduce the mortality rate associated with SARS-CoV-2. Given that older patients are a vulnerable demographic, comprehensive data is required to enhance their healthcare provision in the context of the COVID-19 pandemic. The unprecedented pandemic from November 2022 to January 2023 provided us with valuable clinical resources on older patients, a demographic that has been underrepresented in past studies. Mass spectrometry (MS)-based proteomics enables the systematic investigation of circulating proteins which sheds light on host responses to SARS-COV-2 infection. Here, we report the characteristic proteome profile of plasma samples from elderly patients with Omicron infection, with a primary focus on features associated with mortality.

ORGANISM(S): Homo Sapiens

SUBMITTER: Yang Chen

PROVIDER: PXD047086 | iProX | Mon Nov 20 00:00:00 GMT 2023

REPOSITORIES: iProX

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Publications

Proteomics of Serum Samples for the Exploration of the Pathological Mechanism of Obstetric Antiphospholipid Syndrome.

Zhang Yinmei Y Jin Shangjia S Tian Wenmin W Shi Dongxue D Chen Yang Y Cui Liyan L Zheng Jiajia J

Journal of proteome research 20231204 1

Obstetric antiphospholipid syndrome (OAPS) is a multisystem disorder characterized by thrombosis or recurrent fetal loss. In this study, we aim to explore the pathological mechanism of OAPS. Herein, we carried out data-independent acquisition (DIA) mass spectrometry quantitative proteomic analysis of serum samples from OAPS patients and healthy controls. A set of 93 differentially expressed proteins was identified, including 75 upregulated and 18 downregulated proteins compared with the levels i ...[more]

PMID: 38048430

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Project description:Objectives: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes the worldwide COVID-19 pandemic. While SARS-CoV-2 can infect people of all ages and both sexes, senior populations are at greatest risk of severe disease and worse outcomes, and sexual dimorphism has been reported in COVID-19. COVID-19 causes damage to multiple organ systems, including the brain. Neurological symptoms are widely observed in patients with Covid-19, with many survivors suffering from persistent neurological impairment, potentially accelerating Alzheimer’s disease (AD). This study aims to investigate the mechanisms underlying the impact of age, and sex on neuroinflammation due to SARS-CoV-2 infection using mouse models. Methods: Wild-type C57BL/6 mice were subjected to intranasal inoculation of SARS-CoV-2 lineage B.1.351, followed by daily body weight monitoring. At 7 dpi, viral burden and inflammatory cytokine/chemokine responses in the lung and brain were determined by quantitative RT-PCR, followed by immunohistochemical and transcriptomic analyses. Results: Older age, male sex, showed increased lung viral loads and severity of SARS-CoV-2 infection in mice. No viral RNA was detected in the brains of infected mice; however, IL-6 and CCL2 mRNA increased significantly, particularly in brains of old and APOE4 mice. Unbiased brain RNA-seq/transcriptomic analysis showed that SARS-CoV-2 infection caused significant changes in gene expression profiles, and pathway analysis identified innate immunity and defense response to virus and other organisms as the major molecular networks affected in the brain by SARS-CoV-2 infection. Conclusions: Our findings demonstrate that age, and sex, modify the progression and outcome of SARS-CoV-2 infection. SARS-CoV-2 infection triggers neuroinflammatory responses despite the lack of detectable virus in the brain. Changes in molecular networks of innate immunity and defense response to microorganisms underlie the impact of SARS-CoV-2 infection in the brain. These findings in mice mimic epidemiological and clinical observations in humans with Covid-19.

Dataset Information

Quantitative proteomic analysis of serum samples from OAPS patients and healthy controls

Publications

Proteomics of Serum Samples for the Exploration of the Pathological Mechanism of Obstetric Antiphospholipid Syndrome.

Similar Datasets

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