Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza - Scorecard - MDSpire

Explainable AI multiomics analysis reveals shared and divergent host responses in COVID-19 and influenza

  • By

  • Yan Zhang

  • Lining Zhang

  • Zehong Zhang

  • Yuxi Lin

  • Zexu Jiang

  • Fulong Yu

  • January 27, 2026

  • 0 min

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Clinical Scorecard: Multiomics Analysis Using Explainable AI Uncovers Common and Distinct Host Responses in COVID-19 and Influenza

At a Glance

CategoryDetail
ConditionCOVID-19 and Influenza viral infections
Key MechanismsHost genetic susceptibility, innate antiviral defense, interferon signaling, inflammatory pathways, thrombo-inflammation, endotheliopathy
Target PopulationIndividuals infected with SARS-CoV-2 or influenza viruses
Care SettingAcute care and research settings focusing on viral respiratory infections

Key Highlights

  • COVID-19 severity is influenced by host genetics involving interferon and inflammatory pathways, distinct from influenza.
  • COVID-19 exhibits a thrombo-inflammatory phenotype with pulmonary microthrombosis and endotheliopathy more frequently than influenza.
  • Multi-omics and explainable AI reveal conserved early interferon responses across viruses but COVID-19-specific persistent AP-1/MAPK activation and coagulation involvement.

Guideline-Based Recommendations

Diagnosis

  • Utilize genetic and multi-omic profiling to distinguish COVID-19 from influenza based on host immune response signatures.
  • Consider differential activation of interferon-stimulated genes and inflammatory cytokines in diagnostic assessments.

Management

  • Target host-directed interventions focusing on timing of interferon augmentation in COVID-19.
  • Modulate IL-6 inflammatory axis and apply endothelial protective and antithrombotic strategies in severe COVID-19 cases.

Monitoring & Follow-up

  • Monitor inflammatory cytokines (IL-6, IL-1, TNF) and coagulation markers to assess disease progression and thrombo-inflammatory status.
  • Track lymphocyte counts and interferon response dynamics to evaluate immune dysregulation.

Risks

  • Recognize increased risk of pulmonary microthrombosis and endotheliopathy in COVID-19 compared to influenza.
  • Be aware of maladaptive myeloid responses and lymphopenia contributing to severe COVID-19 outcomes.

Patient & Prescribing Data

Patients with confirmed COVID-19 or influenza infection

Genetically anchored multi-omic data support prioritizing host-directed therapies targeting interferon pathways, IL-6 signaling, and coagulation/endothelial dysfunction in COVID-19 management.

Clinical Best Practices

  • Integrate genetic risk profiling with multi-omic immune signatures to personalize treatment strategies.
  • Employ explainable AI models to differentiate viral infection types and guide targeted interventions.
  • Focus on early modulation of interferon responses and control of hyperinflammation to improve COVID-19 outcomes.

References

Original Source(s)

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