Multiplex sensing of IL-10 and CRP towards predicting critical illness in COVID-19 infections

Madhurantakam, Sasya; Lee, Zachary J.; Naqvi, Aliya; Karnam, Jayanth Babu; Muthukumar, Sriram; Prasad, Shalini

doi:10.1016/j.biosx.2023.100307

Cited by 8 publications

(11 citation statements)

References 38 publications

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“…Concordantly, several studies have reported elevated levels of these features in COVID-19 patients, particularly those with severe disease (48–50). Also, some of the biosignatures including but not limited to TNF, IL-10 , have been verified using multiplex biosensor techniques to be associated with COVID-19, and as such these biosignatures could serve as markers to monitor disease development (43, 51).…”

Section: Resultsmentioning

confidence: 98%

Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases

Agamah,

Ederveen,

Skelton

et al. 2023

Preprint

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BackgroundCOVID-19 disease is characterized by a spectrum of disease phases (mild, moderate, and severe). Each disease phase is marked by changes in omics profiles with corresponding changes in the expression of features (biosignatures). However, integrative analysis of multiple omics data from different experiments across studies to investigate biosignatures at various disease phases is limited. Exploring an integrative multi-omics profile analysis through a network approach could be used to determine biosignatures associated with specific disease phases and enable the examination of the relationships between the biosignatures.AimTo identify and characterize biosignatures underlying various COVID-19 disease phases in an integrative multi-omics data analysis.MethodWe leveraged the correlation network approach to integrate transcriptomics, metabolomics, proteomics, and lipidomics data. The World Health Organization (WHO) Ordinal Scale (WOS) was used as a disease severity reference to harmonize COVID-19 patient metadata across two studies with independent data. A unified COVID-19 knowledge graph was constructed by assembling a disease-specific interactome from the literature and databases. Disease-state omics-specific graphs were constructed by integrating multi-omics data with the unified COVID-19 knowledge graph. We expanded on the network layers of multiXrank, a random walk with restart on multilayer network algorithm, to explore disease state omics-specific graphs and perform enrichment analysis.ResultsNetwork analysis revealed the biosignatures involved in inducing chemokines and inflammatory responses as hubs in the severe and moderate disease phases. We observed more shared biosignatures between severe and moderate disease phases as compared to mild-moderate and mild-severe disease phases. We further identified both biosignatures that discriminate between the disease states and interactions between biosignatures that are either common between or associated with COVID-19 disease phases. Interestingly, cross-layer interactions between different omics profiles increased with disease severity.ConclusionThis study identified both biosignatures of different omics types enriched in disease-related pathways and their associated interactions that are either common between or unique to mild, moderate, and severe COVID-19. These biosignatures include molecular features that underlie the observed clinical heterogeneity of COVID-19 and emphasize the need for disease-phase-specific treatment strategies. In addition, the approach implemented here can be used for other diseases.Key findings⍰Integrative multi-omics analysis revealed biosignatures and biosignature interactions associated with COVID-19 disease states.⍰Disease severity increases with biosignature interactions across different multi-omics data.⍰The harmonization approach proposed and implemented here can be applied to other diseases

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Section: Resultsmentioning

confidence: 98%

Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases

Agamah,

Ederveen,

Skelton

et al. 2023

Preprint

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“…We have also reported the severity prediction of COVID-19 based on IL-10 and CRP levels in serum and urine using the READ platform. 37 Detection of COVID-19 in plasma samples based on the presence of spike and nucleocapsid proteins and estimating its severity based on D-dimer and IL-2R was reported by our group. 30 This confirms that the READ platform could be used as a diagnostic platform to identify infections in body fluids.…”

mentioning

confidence: 86%

“…Quantification of these cytokines and chemokines in subpico molar levels proves the READ sensor’s efficiency in tracking the target analytes. We have also reported the severity prediction of COVID-19 based on IL-10 and CRP levels in serum and urine using the READ platform . Detection of COVID-19 in plasma samples based on the presence of spike and nucleocapsid proteins and estimating its severity based on D-dimer and IL-2R was reported by our group .…”

mentioning

confidence: 87%

Electrochemical Immunoassay for Capturing Capsular Polysaccharide of Burkholderia pseudomallei: Early Onsite Detection of Melioidosis

Madhurantakam,

Karnam,

Dhamu

et al. 2024

ACS Infect. Dis.

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This study presented the detection and quantification of capsular polysaccharide (CPS) as a biomarker for the diagnosis of melioidosis. After successfully screening four monoclonal antibodies (mAbs) previously determined to bind CPS molecules, the team developed a portable electrochemical immunosensor based on antibody−antigen interactions. The biosensor was able to detect CPS with a wide detection range from 0.1pg/mL to 1 μg/mL. The developed biosensor achieved high sensitivity for the detection of CPS spiked into both urine and serum. The developed assay platform was successfully programmed into a Windows app, and the sensor performance was evaluated with different spiked concentrations. The rapid electro-analytical device (READ) sensor showed great unprecedented sensitivity for the detection of CPS molecules in both serum and urine, and results were cross-validated with ELISA methods.

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“…The functionalised EC sensor was covalently bonded with certain ligands to recognise antibodies against particular viral proteins. Moreover, a sensitive approach for the identification and measurement of two C-reactive protein (CRP) and Interleukin-10 (IL-10) immunoresponsive indicators in different biofluids was described by Madhurantakam et al [72]. These immune response indicators are significant because SARS-CoV-2 patients who are severely unwell have increased levels of them.…”

Section: Electrochemical-based Systems Relying On Nanomaterials and P...mentioning

confidence: 99%

Electrochemical and optical-based systems for SARS-COV-2 and various pathogens assessment

Ahmed,

Ansari,

Siddiqui

et al. 2023

Adv. Nat. Sci: Nanosci. Nanotechnol.

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A critical step in the process for preventing and identifying emergencies relating to health, safety, and welfare is the testing and quick diagnosis of microbial pathogens. Due to the fast spread of waterborne and food borne infections in society and the high costs associated with them, pathogen identification has emerged as one of the most difficult parts of the water and food sectors. Since the turn of the century, pathogens have demonstrated enormous epidemiological and pandemic potential. The emergence and dissemination of a novel virus with pandemic potential endanger the livelihoods and well-being of individuals worldwide. The severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2) coronavirus pandemic has propagated to almost every country on Earth and has had a considerable negative influence on economies and communities. Despite improvements in identification techniques for viral diseases, all nations must now execute biosensing in a speedy, sensitive, focused, and consistent manner in order to address pressing global issues. Hence, in this review, we have critically summarised the recent advancement of electrochemical as well as optical biosensors for the monitoring of SARS-COV-2 and various pathogens. Then, we began by providing a technical overview of cutting-edge strategies utilised to combat diseases and emergencies for it, including the utilisation of point-of-care technology (POCT), artificial intelligence (AI), and the internet of medical things (IoMT). This review article explores the integration of POC, IoMT, and AI technologies in the context of personal healthcare, focusing on their potential to expedite the diagnosis and treatment of medical conditions, ultimately leading to improved patient outcomes. Subsequently, the notion and execution of multiplex testing are presented to enhance the comprehension of detecting multiple analytes. Finally, conclusions and future directions have been presented.

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Multiplex sensing of IL-10 and CRP towards predicting critical illness in COVID-19 infections

Cited by 8 publications

References 38 publications

Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases

Network-based integrative multi-omics approach reveals biosignatures specific to COVID-19 disease phases

Electrochemical Immunoassay for Capturing Capsular Polysaccharide of Burkholderia pseudomallei: Early Onsite Detection of Melioidosis

Electrochemical and optical-based systems for SARS-COV-2 and various pathogens assessment

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