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Microbiology and postmortem interval: a systematic review
Bruna Moitas1, Inês Morais Caldas2,3,4, Benedita Sampaio-Maia5,6,7
1Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
Abstract:
This systematic review aims to learn if and how it is possible to use the human microbiome to indicate the time elapsed after death. Articles were searched on the PubMed database using predefined data fields and keywords; reviews, systematic reviews, and meta-analyses were excluded. The final selection included 14 papers (out of 144). The results indicated that the microorganisms present in the cadaveric island succeed predictably over time, with markers between the stages of decomposition constituting a potential innovative tool for postmortem interval (PMI) estimation. The human microbiome has the potential to be used for PMI estimation and may present advantages as microbes are present in all seasons, in all habitats, including the most extreme ones, and because microbial communities respond predictably to environmental changes.
Insights
The human microbiome can help estimate the time after death. Microbial changes on a body offer predictable markers for determining the postmortem interval (PMI).
Area of Science:
- Forensic Science
- Microbiology
- Postmortem Interval Estimation
Background:
- Accurate postmortem interval (PMI) estimation is crucial in forensic investigations.
- Current PMI methods have limitations, necessitating novel approaches.
- The human microbiome represents a dynamic biological system influenced by environmental factors.
Purpose of the Study:
- To systematically review the scientific literature on the utility of the human microbiome for estimating the postmortem interval (PMI).
- To explore the potential of microbial community dynamics in predicting the time elapsed since death.
Main Methods:
- A systematic literature search was conducted on the PubMed database.
- Predefined data fields and keywords were utilized for article selection.
- Exclusion criteria included reviews, systematic reviews, and meta-analyses, resulting in 14 selected papers.
Main Results:
- Microorganisms in the cadaveric island exhibit predictable successional patterns over time.
- Specific microbial markers correlate with different decomposition stages.
- These microbial shifts show potential as innovative tools for PMI estimation.
Conclusions:
- The human microbiome holds significant potential for PMI estimation.
- Microbial communities offer advantages due to their presence in diverse environments and predictable responses to changes.
- This approach could provide a reliable and versatile method for determining time since death.
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