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March 21, 2026Cardiovascular Diabetology2 citationsOpen Access

Tryptophan metabolites and stroke risk after acute myocardial infarction in patients with and without metabolic syndrome: insights from a MACCE-based cohort

LXLili XiuYLYan LiuPWPengyan Wu

Key Result

Elevated levels of kynurenine, tryptophan, and indole-3-lactic acid increased stroke risk by HR 1.47, 1.46, and 1.34 per 2-fold increase in AMI patients with metabolic syndrome.

Key Points

  • This research aims to clarify how tryptophan metabolism influences stroke risk in patients with and without metabolic syndrome post-myocardial infarction.
  • Analyzed 3223 acute myocardial infarction patients undergoing percutaneous coronary intervention.
  • Conducted untargeted metabolomics to identify metabolic syndrome-related metabolites.
  • Performed cox regression to analyze associations of tryptophan levels with stroke risk for metabolic syndrome and non-metabolic syndrome groups.
  • Developed a random forest model for MACCE prediction using metabolic and clinical data.
  • Significant tryptophan metabolism disturbances found in metabolic syndrome patients.
  • Elevated indole-3-lactic acid, tryptophan, and kynurenine levels correlated with increased stroke risk in metabolic syndrome patients.
  • Random forest model showed good predictive performance with an AUC of 0.715.
  • Kynurenine and indole-3-lactic acid were identified as major predictive features.

Study Design

Type

Cohort (n=3,190)

Multicenter

No

Structured PICO

Are elevated levels of tryptophan metabolites associated with an increased risk of stroke in AMI patients with metabolic syndrome?

P
Population
Adult patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI), with and without metabolic syndrome (MetS).
I
Intervention
Elevated levels of tryptophan metabolites (indole-3-lactic acid [ILA], tryptophan [TRP], kynurenine [KYN])
C
Comparator
Low levels of tryptophan metabolites
O
Outcome
Incident stroke during follow-uphard clinical

Elevated tryptophan metabolites, particularly kynurenine, are independently associated with an increased risk of stroke in AMI patients with metabolic syndrome, highlighting their potential as biomarkers for personalized secondary prevention.

Main Result

Effect estimate: HR 1.47

p-value: p=<0.05

Limitations

  • Medication variables (e.g., antiplatelet agents and statins) were not included as confounders to avoid overadjustment or collider bias
  • Limited variability of renal dysfunction in the cohort
  • Narrow distribution of metabolite levels and sparse observations at extreme values limiting detection of nonlinearity

Abstract

Metabolic syndrome (MetS) obviously increases the risk of major adverse cardiac and cerebrovascular events (MACCE) in patients with acute myocardial infarction (AMI). However, the metabolic mechanisms underlying this heightened vulnerability remain unclear, and individualized predictive models are limited. To elucidate the role of tryptophan metabolism in MetS-related MACCE risk after AMI and to establish a machine learning model (random forest) for MACCE prediction. A total of 3223 AMI patients undergoing percutaneous coronary intervention were enrolled between 2017 and 2021. Through untargeted metabolomics analysis, potential MetS-related metabolites were screened and identified, followed by internal validation of tryptophan metabolites—indole-3-lactic acid (ILA), tryptophan (TRP), kynurenine (KYN), and indole-3-propionic acid (IPA)—in 3190 patients. Cox regression was performed separately for Mets and no-Mets participants to assess the associations of Tryptophan Levels and with a primary focus on stroke risk, and secondary analyses of other MACCE components. A random forest model was constructed to predict MACCE over a 72-month follow-up by integrating metabolic and clinical variables. Patients with MetS exhibited significant disturbances in tryptophan metabolism. Elevated levels of indole-3-lactic acid (ILA), tryptophan (TRP), and kynurenine (KYN) were independently associated with higher stroke risk in MetS patients (adjusted HR per twofold increase: ILA 1.34, TRP 1.46, KYN 1.47; all P < 0.05), but not in non-MetS individuals. The random forest model exhibited good prediction performance (AUC 0.715; 95% CI 0.683–0.747), identifying KYN, indole-3-lactic acid (ILA) as major predictive features. Tryptophan metabolic dysregulation, particularly elevated KYN, was associated with a higher risk of stroke in AMI-MetS patients. By integrating untargeted discovery, targeted validation, and machine learning–based modeling, our study provides a novel framework for individualized risk stratification and supports further investigation into the translational potential of metabolic biomarkers in this high-risk cardiometabolic population.

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Cite This Study

Xiu et al. (2026) conducted a cohort in Acute myocardial infarction with metabolic syndrome (n=3,190). Elevated tryptophan metabolites (KYN, TRP, ILA) vs. Lower metabolite levels was evaluated on Incident stroke (HR 1.47, p=<0.05). Elevated levels of kynurenine, tryptophan, and indole-3-lactic acid increased stroke risk by HR 1.47, 1.46, and 1.34 per 2-fold increase in AMI patients with metabolic syndrome.

synapsesocial.com/papers/69be37dd6e48c4981c677d37https://doi.org/10.1186/s12933-026-03138-8
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