Suppression of immune function and susceptibility to infections in humans: association of immune function with

Robert W Luebke1, Christine Parks, Michael I Luster

  • 1Immunotoxicology Branch, Experimental Toxicology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, North Carolina, USA.

Insights

This review examines clinical data to correlate immune function changes with disease risk in humans. It focuses on mild to moderate immunosuppression, excluding extreme cases like AIDS.

Area of Science:

  • Immunology
  • Toxicology
  • Clinical Medicine

Background:

  • Regulatory agencies in Europe, Japan, and the US mandate immunotoxicity testing for chemicals and drugs.
  • Current testing guidelines utilize animal models to assess immune function changes and predict susceptibility to infection or cancer.
  • Predicting human disease risk requires correlating immune function alterations with clinical outcomes.

Purpose of the Study:

  • To review clinical evidence linking immune function alterations to disease risk in humans.
  • To identify specific immune defects associated with increased infection rates.
  • To examine factors influencing the interpretation of clinical data on immunosuppression.

Main Methods:

  • Literature review of clinical studies.
  • Focus on mild to moderate immunosuppression in humans.
  • Exclusion of extreme immunodeficiency cases (e.g., primary immunodeficiency, AIDS).

Main Results:

  • Clinical data demonstrates correlations between altered immune function and increased disease risk in humans.
  • Specific immune system defects are identified as contributors to higher infection rates.
  • Factors affecting the interpretation of clinical data in immunosuppression are discussed.

Conclusions:

  • Understanding human immune responses to mild-to-moderate immunosuppression is crucial for accurate risk assessment.
  • Clinical evidence supports the link between immune function and disease susceptibility.
  • Further research is needed to refine the interpretation of clinical data for predicting disease risk.

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