Evidence map›Paper›PMID 41184328›Full record

ArticleScientific reports2025

Targeting asparagine and cysteine in SARS-CoV-2 variants and human pro-inflammatory mediators to alleviate COVID-19 severity; a cross-section and in-silico study.

Hewida H Fadel, Hadeer Adel El-Esseily, Mohammed Abd El-Rahman Ahmed, Mohammed Ahmed Khamis Mohamed, Mohamed Nabil Roushdy, Amr ElSherif, Kareem Mahamoud Gharbeya, Hadeel Said Abdelsalam

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. In Silico Investigation RevealsMedical sciences (Basel, Switzerland) · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hewida H FadelDepartment of Medical Laboratory Technology, Faculty of Applied Health Sciences Technology, Pharos University, Alexandria, Egypt. hewida.fadel@pua.edu.eg.ORCID http://orcid.org/0000-0002-6696-0405
Hadeer Adel El-EsseilyDepartment of Health Care, Faculty of Computer and Data Science, Alexandria University, Alexandria, Egypt.ORCID http://orcid.org/0000-0003-3145-2416
Mohammed Abd El-Rahman AhmedDepartment of Clinical Pathology, Alexandria Armed Forces Hospital, Military Medical Academy, Alexandria, Egypt.ORCID http://orcid.org/0000-0001-6079-2984
Mohammed Ahmed Khamis MohamedPulmonary Consultant at Alexandria Armed Forces Hospital, Alexandria, Egypt.
Mohamed Nabil RoushdyDepartment of Molecular and diagnostic microbiology, Alexandria Armed Forces Hospital, Alexandria, Egypt.ORCID http://orcid.org/0000-0002-3659-3616
Amr ElSherifDepartment of Hematopathology, Military Medical Academy, Alexandria Armed Forces Hospital Alexandria, Alexandria, Egypt.ORCID http://orcid.org/0000-0001-8087-0898
Kareem Mahamoud GharbeyaDepartment of Critical Care Consultant, Alexandria Armed Forces Hospital, Alexandria, Egypt.ORCID http://orcid.org/0000-0001-5553-8842
Hadeel Said AbdelsalamDepartment of Medical Laboratory Technology, Faculty of Applied Health Sciences Technology, Pharos University, Alexandria, Egypt.ORCID http://orcid.org/0000-0002-8107-9384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, COVID-19 continues to pose a global health challenge, with substantial morbidity, mortality, and long-term post-COVID-19 complications threatening public health resilience. During the early pandemic, the IL-6 inhibitor (tocilizumab) was the widely used approved immunotherapy for critically ill patients; however, a subset of ICU cases exhibited normal interleukin-6 (IL-6) levels and failed to respond. We hypothesized that interleukin-17 (IL-17), which acts synergistically with IL-6, contributes to cytokine storm progression and severe inflammation. Our study uniquely integrates a clinical cross-sectional analysis with advanced in-silico modelling, directly linking patient-derived biomarker, radiological, and statistical data to molecular-level mechanisms of COVID-19 severity. Serum IL-17 was significantly elevated in critical versus moderate COVID-19 cases, with a threshold of 187.9 ng/mL predicting poor outcomes by ROC analysis. Logistic regression identified age and monocytes as independent predictors of severity, supporting a combined biomarker approach for improving the prognosis and clinical outcomes. Radiological findings, including ground-glass opacities and consolidations, alongside hematological abnormalities, were more frequent in critical cases. Computational docking revealed key amino acid residues-particularly asparagine (Asn) and cysteine (Cys)-as structural determinants shared by SARS-CoV-2 spike protein and human inflammatory mediators (IL-17R, IL-6R, CD41/CD61, CD47/SIRP). Asparaginase (ASNase) targeted critical residues such as the invariant gate residue "Asn343" and Cys213 of spike protein, Asn240 of IL-17R, and Asn136 of IL-6R. Several phytochemicals, including phytic acid and amygdalin, as well as synthetic agents such as candesartan, remdesivir, and enalapril, were found to preferentially bind to cysteine (Cys) residues-and, to a lesser extent, asparagine (Asn) residues-within key binding interfaces, in addition to targeting B-cell epitopes. This conserved residue preference supports the rationale for a dual-action therapeutic strategy in which asparaginase (ASNase) is combined with selected plant-derived ligands to simultaneously disrupt viral entry mechanisms and attenuate the inflammatory signalling. This dual-perspective approach not only identified IL-17 and IL-6 as independent severity predictors but also revealed conserved Asn and Cys motifs as critical therapeutic targets, leading to novel strategies-such as ASNase, synthetic agents and phytochemical combinations-for simultaneously blocking viral entry and modulating hyperinflammatory pathways. These findings warrant rigorous experimental and clinical validation to facilitate translation into effective therapeutic interventions.

Indexed as

AsparagineCOVID-19COVID-19 Drug TreatmentCysteineSARS-CoV-2AdultAgedAntibodies, Monoclonal, HumanizedBiomarkersComputer SimulationCross-Sectional StudiesFemaleHumansInterleukin-17Interleukin-6MaleAntibodies, Monoclonal, HumanizedAsparagineBiomarkersCysteineInterleukin-17Interleukin-6Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2AsparaginaseCOVID-19CysteineInterleukin-17Natural medicinePhytotherapiesSARS-CoV-2Vaccine-adjuvants

Identifiers

PMID41184328
PMCPMC12583749

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.