Literature DB >> 33001249

Thanatomicrobiome and epinecrotic community signatures for estimation of post-mortem time interval in human cadaver.

Hirak Ranjan Dash1, Surajit Das2.   

Abstract

Estimation of post-mortem time interval (PMI) is a key parameter in the forensic investigation which poses a huge challenge to the medico-legal experts. The succession of microbes within different parts of the human body after death has shown huge potential in the determination of PMI. Human body harbors trillions of microorganisms as commensals. With the death of an individual when biological functions are stopped, these microorganisms behave contrarily along with the invasion of degrading microbes from the environment. Human cadaver becomes a rich source of nutrients due to autolysis of cells, which attracts various invading microorganisms as well as macroorganisms. At different stages of degradation, the succession of microorganisms differs significantly which can be explored for accurate PMI estimation. With the advent of microbial genomics technique and reduction in the cost of DNA sequencing, thanatomicrobiome and epinecrotic community analysis have gained huge attention in PMI estimation. The article summarizes different sources of microorganisms in a human cadaver, their succession pattern, and analytical techniques for application in the field of microbial forensics. KEY POINTS: • Thanatomicrobiome and epinecrotic microbiome develop in postmortem human body. • Lack of metabolic, immune, neuroendocrine systems facilitate microbial succession. • Analysis of postmortem microbial communities predicts accurate PMI.

Entities:  

Keywords:  Epinecrotic; Forensic microbiology; Human cadaver; Post-mortem time interval (PMI) estimation; Thanatomicrobiome

Mesh:

Year:  2020        PMID: 33001249     DOI: 10.1007/s00253-020-10922-3

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  6 in total

1.  A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques.

Authors:  Xiao-Jun Lu; Jian Li; Xue Wei; Na Li; Li-Hong Dang; Guo-Shuai An; Qiu-Xiang Du; Qian-Qian Jin; Jie Cao; Ying-Yuan Wang; Jun-Hong Sun
Journal:  Int J Legal Med       Date:  2022-06-03       Impact factor: 2.686

2.  Gastrointestinal (GI)-Tract Microbiome Derived Neurotoxins and their Potential Contribution to Inflammatory Neurodegeneration in Alzheimer's Disease (AD).

Authors:  Walter J Lukiw; Lisa Arceneaux; Wenhong Li; Taylor Bond; Yuhai Zhao
Journal:  J Alzheimers Dis Parkinsonism       Date:  2021-05-25

3.  Applications of massively parallel sequencing in forensic genetics.

Authors:  Thássia Mayra Telles Carratto; Vitor Matheus Soares Moraes; Tamara Soledad Frontanilla Recalde; Maria Luiza Guimarães de Oliveira; Celso Teixeira Mendes-Junior
Journal:  Genet Mol Biol       Date:  2022-09-19       Impact factor: 2.087

4.  Estimating the Time Since Deposition of Saliva Stains With a Targeted Bacterial DNA Approach: A Proof-of-Principle Study.

Authors:  Celia Díez López; Manfred Kayser; Athina Vidaki
Journal:  Front Microbiol       Date:  2021-06-02       Impact factor: 5.640

5.  Microbiome pattern of Lucilia sericata (Meigen) (Diptera: Calliphoridae) and feeding substrate in the presence of the foodborne pathogen Salmonella enterica.

Authors:  Lavinia Iancu; Iulia Roxana Angelescu; Victoria Ioana Paun; Carlos Henríquez-Castillo; Paris Lavin; Cristina Purcarea
Journal:  Sci Rep       Date:  2021-07-27       Impact factor: 4.379

6.  Postmortem interval assessment by MALDI-TOF mass spectrometry analysis in murine cadavers.

Authors:  Federica Dell'Annunziata; Francesca Martora; Maria Elena Della Pepa; Veronica Folliero; Livio Luongo; Serena Bocelli; Francesca Guida; Pasquale Mascolo; Carlo Pietro Campobasso; Sabatino Maione; Gianluigi Franci; Marilena Galdiero
Journal:  J Appl Microbiol       Date:  2021-08-08       Impact factor: 4.059

  6 in total

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