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Dysbiosis in the Dead: Human Postmortem Microbiome Beta-Dispersion as an Indicator of Manner and Cause of Death

NCJ Number
302540
Journal
Frontiers in Microbiology Volume: 11 Dated: 2020
Author(s)
S. F. Kaszubinski; et al
Date Published
2020
Annotation

Since the postmortem microbiome has the potential to aid in manner of death (MOD) and cause of death (COD) determination as a reflection of antemortem health status, the current study further explored this association by testing beta-dispersion, or the variability of microbiomes within the context of the “Anna Karenina Principle” (AKP).

Abstract

The foundational principle of AKP is that stressors affect microbiomes in unpredictable ways, which increases community beta-dispersion. The current study hypothesized that cases with identified M/CODs would have differential community beta-dispersion that reflected antemortem conditions, specifically that cardiovascular disease and/or natural deaths would have higher beta-dispersion compared to other deaths (e.g., accidents, drug-related deaths). Using a published microbiome data set of 188 postmortem cases (five body sites per case) collected during routine autopsy in Wayne County (Detroit), MI, the current study modeled beta-dispersion to test for M/COD associations a priori. Logistic regression models of beta-dispersion and case demographic data were used to classify M/COD. It was demonstrated that beta-dispersion, along with case demographic data, could distinguish among M/COD – especially cardiovascular disease and drug related deaths, which were correctly classified in 79 percent of cases. Binary logistic regression models had higher correct classifications than multinomial logistic regression models, but changing the defined microbial community (e.g., full vs. non-core communities) used to calculate beta-dispersion overall did not improve model classification or M/COD. The study tested its analytical approach on a case study that predicted suicides from other deaths, as well as distinguishing MOD (e.g., homicides vs. suicides) within COD (e.g., gunshot wound). The study proposes an analytical workflow that combines postmortem microbiome indicator taxa, beta-dispersion, and case demographic data for predicting MOD and COD classifications. Overall, this study provides further evidence that the postmortem microbiome is linked to the host’s antemortem health condition(s), while also demonstrating the potential utility of including beta-dispersion (a non-taxon dependent approach) coupled with case demographic data for death determination. (publisher abstract modified)

Date Published: January 1, 2020