Spaceflight and Medical Microbiology: Possible Implications for Standard Infection Diagnostics and Therapy

Alessa Lalinka Boschert1, Stefan Leuko2, Carolin Luisa Krämer2,3

  • 1MVZ Laboratory Dr. Limbach & Colleagues eGbR, 69126 Heidelberg, Germany.

Life (Basel, Switzerland)
|November 27, 2025
PubMed

Insights

Urinary tract infections are a major risk in spaceflight. Developing new diagnostic and treatment strategies using AI and personalized medicine is crucial for long-term missions.

Area of Science:

  • Space microbiology
  • Infectious disease diagnostics
  • Antimicrobial resistance

Background:

  • Long-term spaceflight missions present significant health risks, particularly from infections.
  • Urinary tract infections (UTIs) are a common concern with unique challenges in microgravity.
  • Current medical microbiology procedures face limitations in the space environment.

Purpose of the Study:

  • To explore the practical challenges of diagnosing and treating UTIs during spaceflight.
  • To identify potential technological and data-related hurdles for infection management.
  • To propose innovative solutions for space-based infection diagnostics and treatment.

Main Methods:

  • Application of standard medical microbiology procedures to a hypothetical spaceflight UTI scenario.
  • Analysis of challenges including technological constraints, lack of breakpoints, and limited epidemiological data.
  • Exploratory approach to identify future diagnostic and therapeutic directions.

Main Results:

  • Standard diagnostic and treatment protocols are insufficient for spaceflight UTIs.
  • Technological limitations and data scarcity hinder effective infection management.
  • Novel approaches are required to address the unique demands of space medicine.

Conclusions:

  • A combination of data acquisition, artificial intelligence, and personalized medicine is a promising direction.
  • Development of novel diagnostic tools and antimicrobial strategies is essential.
  • Further research is needed to establish robust diagnostic strategies for long-duration space missions.

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