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Quantitative association between lead exposure and amyotrophic lateral sclerosis: a Bayesian network-based predictive

Wenxiu Yu1,2, Fangfang Yu3, Mao Li2

  • 1Medical School of Chinese PLA, Beijing, 100853, China.

Environmental Health : a Global Access Science Source
|January 3, 2024
PubMed
Summary

Environmental lead (Pb) exposure is linked to amyotrophic lateral sclerosis (ALS). This study found significantly higher blood lead levels in ALS patients, suggesting Pb exposure may contribute to ALS development.

Keywords:
Amyotrophic Lateral SclerosisBayesian networkPb exposure

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Area of Science:

  • Neuroscience
  • Environmental Health
  • Biostatistics

Background:

  • Environmental lead (Pb) exposure is a suspected factor in amyotrophic lateral sclerosis (ALS) development.
  • The precise impact of body lead content on ALS outcomes remains unclear.
  • Quantifying the risk of Pb exposure in ALS occurrence is crucial.

Purpose of the Study:

  • To investigate the association between blood lead levels and amyotrophic lateral sclerosis (ALS).
  • To utilize Bayesian networks for predicting ALS risk based on lead exposure.
  • To provide quantitative evidence for lead's role in ALS pathogenesis.

Main Methods:

  • Retrospective analysis of medical records from 140 ALS inpatients and 9-to-1 matched controls.
  • Blood lead (Pb) level testing was performed on all participants.
  • Tree Augmented Naïve Bayes (TAN) classifier was employed to predict ALS probability.

Main Results:

  • ALS patients exhibited mean whole blood lead levels (57.00 μg/L) more than double that of controls (27.71 μg/L).
  • The TAN model achieved a 90.00% overall coincidence rate in predicting ALS based on blood lead concentrations.
  • Lead (Pb) demonstrated a prediction specificity of 0.79 and sensitivity of 0.74 for ALS.

Conclusions:

  • Findings provide quantitative evidence supporting lead (Pb) exposure as a contributing factor to ALS development.
  • Bayesian networks show promise for early ALS detection using blood lead level measurements.