{"database":"iProX","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Yang Chen"],"species":["Homo Sapiens"],"full_dataset_link":["http://www.iprox.org/page/project.html?id=IPX0007498000"],"submitter_email":["chenyang1816185048@bjmu.edu.cn"],"submitter_affiliation":["Peking University Health Science Center"],"sample_protocol":[""],"repository":["iProX"],"data_protocol":[""],"pubmed_abstract":["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 in controls. Those proteins are enriched in KEGG pathways related to autoimmune diseases, allergic diseases, and pathogen infection. Interestingly, metabolic pathways such as fatty acid degradation and type I diabetes were enriched, indicating that OAPS is metabolic disease related. The significantly increased triglyceride also supported this idea. The differentially expressed proteins insulin-like growth factor-binding protein-1 (IGFBP-1), C-reactive protein (CRP), and ferritin light chain (FTL) were validated by ELISA. Our study presented a deep serum proteomics of OAPS and advanced our understanding of OAPS pathogenesis."],"pubmed_title":["Proteomics of Serum Samples for the Exploration of the Pathological Mechanism of Obstetric Antiphospholipid Syndrome."],"pubmed_authors":["Zhang Yinmei Y, Jin Shangjia S, Tian Wenmin W, Shi Dongxue D, Chen Yang Y, Cui Liyan L, Zheng Jiajia J"],"additional_accession":[]},"is_claimable":false,"name":"quantitative proteomic analysis of serum samples from OAPS patients and healthy controls","description":"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.","dates":{"publication":"Mon Nov 20 00:00:00 GMT 2023"},"accession":"PXD047086","cross_references":{"TAXONOMY":["9606"],"pubmed":["38048430"]}}