Evaluating the Diagnostic Potential of Gut Microbiota Analysis and Blood Biomarkers for Predicting Post-Stroke Infections in Acute Ischemic Stroke Patients - Scorecard - MDSpire

Evaluating the Diagnostic Potential of Gut Microbiota Analysis and Blood Biomarkers for Predicting Post-Stroke Infections in Acute Ischemic Stroke Patients

  • By

  • Weny Rinawati

  • Aryati Aryati

  • Abdulloh Machin

  • Stefan Kiechl

  • Gregor Broessner

  • April 28, 2026

  • 0 min

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Clinical Scorecard: Evaluating the Diagnostic Potential of Gut Microbiota Analysis and Blood Biomarkers for Predicting Post-Stroke Infections in Acute Ischemic Stroke Patients

At a Glance

CategoryDetail
ConditionPost-stroke infection (PSI) following acute ischemic stroke (AIS)
Key MechanismsGut–brain–immune axis involving neuroimmune activation, intestinal barrier disruption, bacterial translocation, microbial metabolites, and inflammatory signaling
Target PopulationAdult patients (≥18 years) with acute ischemic stroke admitted within 24 hours of symptom onset
Care SettingHospital setting, specifically stroke units or neurology wards managing AIS patients

Key Highlights

  • PSI occurred in 46.3% of AIS patients within 7 days post-admission, with pneumonia and urinary tract infections as common complications.
  • Circulating biomarkers NMDAR antibodies, iFABP, LPS, RANKL, butyrate, and TMAO showed high diagnostic accuracy individually (AUCs ranging from 0.865 to 0.911).
  • Combined multivariate models integrating gut microbiota profiles and circulating biomarkers significantly improved early prediction of PSI compared to single-domain approaches.

Guideline-Based Recommendations

Diagnosis

  • Use circulating biomarkers including NMDAR antibodies, iFABP, LPS, RANKL, butyrate, and TMAO to assess PSI risk in AIS patients.
  • Incorporate gut microbiota profiling focusing on abundance of pathogenic taxa (Escherichia coli, Salmonella enterica) and depletion of SCFA-producing commensals (Faecalibacterium prausnitzii, Roseburia intestinalis) for enhanced diagnostic accuracy.
  • Apply combined biomarker and microbiota models to improve sensitivity and specificity for early PSI detection.

Management

  • Implement early risk stratification for PSI using integrated biomarker–microbiota models to guide preventive and therapeutic interventions.
  • Monitor and potentially modulate gut microbiota composition to reduce PSI risk, considering the role of SCFA-producing bacteria in mucosal integrity and immune modulation.

Monitoring & Follow-up

  • Regularly assess circulating biomarker levels (NMDAR, iFABP, LPS, RANKL, butyrate, TMAO) during the acute post-stroke period to detect early signs of infection.
  • Monitor clinical signs of infection alongside biomarker and microbiota profiles to improve diagnostic confidence.

Risks

  • Recognize that traditional inflammatory markers (CRP, PCT, WBC) may lack specificity due to confounding post-stroke systemic inflammation.
  • Be aware of potential bacterial translocation and endotoxemia indicated by elevated LPS and iFABP levels, which may worsen neurological outcomes.

Patient & Prescribing Data

Acute ischemic stroke patients admitted within 24 hours of symptom onset without pre-existing infections or immunosuppressive conditions.

Early identification of PSI risk via combined biomarker and microbiota analysis may enable timely preventive strategies, potentially reducing infection-related morbidity and mortality.

Clinical Best Practices

  • Integrate gut microbiota profiling with circulating biomarker assessment for comprehensive PSI risk evaluation in AIS patients.
  • Focus on biomarkers reflecting distinct pathophysiological pathways: neuroimmune activation (NMDAR), intestinal barrier injury (iFABP), endotoxemia (LPS), inflammatory signaling (RANKL), and microbial metabolites (butyrate, TMAO).
  • Use multivariate logistic regression models combining microbiota and biomarker data to enhance diagnostic accuracy beyond single markers.
  • Exclude patients with recent antibiotic or probiotic use to avoid confounding microbiota analysis.
  • Consider the role of SCFA-producing commensals in maintaining mucosal integrity and immune homeostasis when interpreting microbiota data.

References

Original Source(s)

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