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High-throughput approaches of diagnosis and therapies for COVID-19: antibody panels, proteomics and metabolomics

ABSTRACT: The urgent need for diagnostics and therapeutics against the COVID-19 pandemic has shown the great potential of antibodies, proteomics and metabolomics in this direction. Several clinical trials are underway using antibodies from COVID-19 patients that show very specific and strong binding to viral proteins leading to neutralization. On the other hand, proteomic and metabolomic profiles of COVID-19 patients present novel diagnostic biomarkers to predict patient outcomes and enable the development of personalized therapeutics to target the dysregulated pathways, as revealed by those profiles. Here, we discuss how studies based on antibodies, proteomics and metabolomics contribute to the development of diagnostics and therapeutics against COVID-19. The elegant technology can extend to high-throughput, rapid and reliable drug discovery strategies of the future. Lay abstract In order to prevent and treat the ongoing COVID-19 pandemic, several groups around the world are focused on a detailed understanding of the biology of SARS-CoV-2 infection, the biological events occurring inside the patients and the response of the patients to the infection. SARS-CoV-2 is the coronavirus that causes COVID-19. Some of the approaches to combat the pandemic have provided important results that can help toward therapeutic developments against COVID-19. This review discusses three such areas – antibody treatment to prevent COVID-19 infection, analysis of changes in protein profiles of COVID-19 patients, and analysis of metabolism or energy-related changes in COVID-19 patients. Antibodies are molecules produced in the host’s body as a defense response to infection. Antibodies extracted from patients who recovered from COVID-19 have been used to successfully manufacture large amounts of antibodies to treat COVID-19 patients. The analysis of protein and metabolism profiles of COVID-19 patients has shown that several proteins and metabolism-related entities in the body are either upregulated or downregulated in COVID-19. These abnormal levels can either be attenuated by medical intervention or can be monitored as indicators of COVID-19 diagnosis. Overall, antibodies, protein and metabolism profiles are three important tools, among several others, that are helpful in combating the COVID-19 pandemic.

SUBMITTER: Sen R

PROVIDER: S-EPMC7714045 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe diagnosis of asthma in children is challenging and relies on a combination of clinical factors and biomarkers including methacholine challenge, lung function, bronchodilator responsiveness, and presence of airway inflammation. No single test is diagnostic. We sought to identify a pattern of inflammatory biomarkers that was unique to asthma using a targeted metabolomics approach combined with data science methods.MethodsWe conducted a nested case-control study of 100 children living in a peri-urban community in Lima, Peru. We defined cases as children with current asthma, and controls as children with no prior history of asthma and normal lung function. We further categorized enrollment following a factorial design to enroll equal numbers of children as either overweight or not. We obtained a fasting venous blood sample to characterize a comprehensive panel of targeted markers using a metabolomics approach based on high performance liquid chromatography-mass spectrometry.ResultsA statistical comparison of targeted metabolites between children with asthma (n = 50) and healthy controls (n = 49) revealed distinct patterns in relative concentrations of several metabolites: children with asthma had approximately 40-50% lower relative concentrations of ascorbic acid, 2-isopropylmalic acid, shikimate-3-phosphate, and 6-phospho-d-gluconate when compared to children without asthma, and 70% lower relative concentrations of reduced glutathione (all p < 0.001 after Bonferroni correction). Moreover, a combination of 2-isopropylmalic acid and betaine strongly discriminated between children with asthma (2-isopropylmalic acid ≤ 13 077 normalized counts/second) and controls (2-isopropylmalic acid > 13 077 normalized counts/second and betaine ≤ 16 47 121 normalized counts/second).ConclusionsBy using a metabolomics approach applied to serum, we were able to discriminate between children with and without asthma by revealing different metabolic patterns. These results suggest that serum metabolomics may represent a diagnostic tool for asthma and may be helpful for distinguishing asthma phenotypes.

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High-throughput approaches of diagnosis and therapies for COVID-19: antibody panels, proteomics and metabolomics

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