Individual COVID-19 disease trajectories revealed by plasma proteomics

Review Genetics & Heredity

Genetics meets proteomics: perspectives for large population-based studies

Karsten Suhre et al.

Summary: The integration of genetics and plasma proteomics provides insights into human disease, revealing connections between genetic and non-genetic risk factors with clinical outcomes. Proteomic analysis offers valuable information on disease mechanisms, clinical biomarkers, and therapeutic opportunities, highlighting the potential for discovering novel drug targets and translational biomarkers through association studies.

NATURE REVIEWS GENETICS (2021)

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Article Biochemical Research Methods

Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future

Nuno Bandeira et al.

Summary: The increase in clinical proteomics studies has raised concerns about managing and disseminating potentially sensitive human proteomics data. Balancing data privacy with efficient use and reuse of research efforts through sharing clinical proteomics data will require development efforts at different levels including bioinformatics infrastructure, policymaking, and mechanisms of oversight.

MOLECULAR & CELLULAR PROTEOMICS (2021)

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Article Biochemistry & Molecular Biology

SARS-CoV-2 infection remodels the host protein thermal stability landscape

Joel Selkrig et al.

Summary: Understanding how SARS-CoV-2 manipulates host cellular machinery on a system-wide scale is crucial for developing host-directed therapies. In this study, temporal alterations in host protein thermostability during infection were observed, converging on cellular processes such as cell cycle regulation. Pharmacological inhibition of host proteins with altered thermal stability or abundance could suppress SARS-CoV-2 replication.

MOLECULAR SYSTEMS BIOLOGY (2021)

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Article Medicine, Research & Experimental

High-resolution serum proteome trajectories in COVID-19 reveal patient-specific seroconversion

Philipp E. Geyer et al.

Summary: The study utilized proteomics to analyze serum proteomes of COVID-19 patients and controls, finding significant changes in 26% of proteins in COVID-19 patients, including proteins related to the immune system and coagulation mechanisms. The research also revealed correlations between SARS-CoV-2 antibodies and immunoglobulin regions through mass spectrometry-based proteomics, showing potential pathophysiological relevance.

EMBO MOLECULAR MEDICINE (2021)

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Article Multidisciplinary Sciences

Analyzing the vast coronavirus literature with CoronaCentral

Jake Lever et al.

Summary: CoronaCentral resource utilizes machine learning to process research literature related to SARS-CoV-2, providing researchers with categorized analysis of content, pace, and focus. The resource, updated daily, covers topics such as therapeutics, disease forecasting, and long COVID.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)

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Article Biochemistry & Molecular Biology

A time-resolved proteomic and prognostic map of COVID-19

Vadim Demichev et al.

Summary: This study investigates the time-dependent progression of COIVD-19 inpatients by measuring diagnostic parameters and plasma proteomes, revealing an initial spike in inflammatory response followed by tissue repair and immunomodulation. Prognostic marker signatures for treatment strategies were identified and machine learning models based on proteome show transferability to independent cohorts.

CELL SYSTEMS (2021)

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Article Biochemistry & Molecular Biology