Dataset Information

Longitudinal proteomic profiling discovered early prognostic and surrogate markers in COVID-19

ABSTRACT: In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify early prognostic protein markers and to discover surrogate protein markers that effectively reflect the clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients who progressed to severe COVID-19, n = 12). We identified 11 potential biomarkers, including the novel markers IGLV3-19 and BNC2, as early prognostic indicators of severe COVID-19. These potential biomarkers are mainly involved in biological processes associated with humoral immune response, interferon signalling, acute phase response, lipid metabolism, and platelet degranulation. We further revealed that the longitudinal changes of 40 proteins persistently increased or decreased as the disease progressed to severe COVID-19. These 40 potential biomarkers could effectively reflect the clinical progression of the disease. This study supports the development of protein biomarkers, which might enable better predicting and monitoring progression to severe COVID-19.

INSTRUMENT(S): Q Exactive Plus

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Cell, Blood Serum

DISEASE(S): Covid-19

SUBMITTER: Dohyun Han

LAB HEAD: Dohyun Han

PROVIDER: PXD023686 | Pride | 2021-09-10

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	20200805_113411_COVID_serum_total_1.sne	Other
	2020_COVID.zip	Other
	ConditionSetup.tsv	Tabular
	ExperimentSetupOverview_BGS_Factory_Settings.txt	Txt

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Publications

Longitudinal proteomic profiling provides insights into host response and proteome dynamics in COVID-19 progression.

Lee Jee-Soo JS Han Dohyun D Kim So Yeon SY Hong Ki Ho KH Jang Myoung-Jin MJ Kim Man Jin MJ Kim Young-Gon YG Park Jae Hyeon JH Cho Sung Im SI Park Wan Beom WB Lee Kyung Bok KB Shin Ho Seob HS Oh Hyeon Sae HS Kim Taek Soo TS Park Sung Sup SS Seong Moon-Woo MW

Proteomics 20210514 11-12

In managing patients with coronavirus disease 2019 (COVID-19), early identification of those at high risk and real-time monitoring of disease progression to severe COVID-19 is a major challenge. We aimed to identify potential early prognostic protein markers and to expand understanding of proteome dynamics during clinical progression of the disease. We performed in-depth proteome profiling on 137 sera, longitudinally collected from 25 patients with COVID-19 (non-severe patients, n = 13; patients ...[more]

PMID: 33945677

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Project description:Background. COVID-19-induced neurological disease is a growing concern. Here we provide a comprehensive clinical, molecular, and neuroimaging investigation of patients presenting neurological symptoms to investigate underlying processes. Methods. We performed a detailed systematized clinical, laboratory, and neuroimaging (CT/MRI) data analysis from 35 mild to severe Brazilian COVID-19 hospitalised patients with clinical indications for cerebrospinal fluid (CSF) exam. In patients' CSF, we measured interleukin-6 (IL-6), tumour necrosis factor-alpha (TNF-α) and the Alzheimer's disease-associated biomarkers amyloid-beta (Aβ)1-40, Aβ1-42, Tau and pTau181 levels (n=31-35). In addition, CSF proteomics and the search for SARS-CoV-2 spike protein presence using shotgun and targeted multiple reaction monitoring liquid-chromatography/mass-spectrometry were performed (n=16). We further evaluated a 29-cytokine panel in patients’ blood (n=16). An electronic questionnaire was conducted one-year post-hospitalisation (n=19, 63.3%). Findings. COVID-19 patients presented heterogeneous clinical and neurological features, including encephalopathy, encephalitis, and neuromuscular syndromes, despite low pulmonary burden. Patients showed increased circulating cytokines and CSF IL-6 and TNF-α levels compared to controls. Alzheimer’s disease-related biomarkers were unaltered compared to controls. COVID-19 altered CSF proteomic pathways associated to complement and coagulation cascades, immune-inflammatory, metabolism and amyloidosis. We found no traces of spike protein in patients’ CSF. Severe patients presented more pronounced neuroimaging alterations, altered CSF levels of IL-6, Tau, and Aβ-species compared to mild patients. Peripheral inflammation markers correlated with CSF IL-6 and Tau-species levels. Finally, in a one-year post-COVID survey, survivors were not recovered entirely (12/19) and reported confusion or memory/attention deficits (13/19). Interpretation. COVID-19 induces a broad spectrum of neurological presentations associated with changes in central nervous system (CNS) inflammatory and neurodegenerative molecular and structural biomarkers that correlate with systemic inflammation and disease severity. Given that neurological symptoms persist up to one-year post-COVID, our results urge us to investigate whether systemic, and CNS molecular changes are permanent or alleviated so that COVID-19 patients with lingering symptoms are adequately treated.