ArticleMicrobial cell factories2022
Assess the diversity of gut microbiota among healthy adults for forensic application.
Article in Microbial cell factories, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Advances in the Application of Forensic Microbiome Analysis in Tissue Source Inference].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Pooled it
- Del immune V and microbiome restructuring in colorectal cancer surgery: a randomized double blind placebo controlled trial.Frontiers in cellular and infection microbiology · 2026Trial
- Article
- Microbial genomics: a potential toolkit for forensic investigations.Forensic science, medicine, and pathology · 2025Review
- Machine learning integrates region-specific microbial signatures to distinguish geographically adjacent populations within a province.Frontiers in microbiology · 2025Article
- Non-invasive treatment ofFrontiers in microbiology · 2025Article
- Review
- Effects of Feather Hydrolysates Generated by Probiotic Bacillus licheniformis WHU on Gut Microbiota of Broiler and Common carp.Journal of microbiology (Seoul, Korea) · 2024Article
- Research progress on the application of 16S rRNA gene sequencing and machine learning in forensic microbiome individual identification.Frontiers in microbiology · 2024Review
- Prediction of BMI traits in the Chinese population based on the gut metagenome.Microbial cell factories · 2023Article
- Metabolic-Dysfunction-Associated Fatty Liver Disease and Gut Microbiota: From Fatty Liver to Dysmetabolic Syndrome.Medicina (Kaunas, Lithuania) · 2023Review
- A bibliometric analysis of microbial forensics from 1984 to 2022: progress and research trends.Frontiers in microbiology · 2023Review
- Dietary EVOO Polyphenols and Gut Microbiota Interaction: Are There Any Sex/Gender Influences?Antioxidants (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundHuman gut microbiota is individually unique that hints the microbiota in fecal traces left in the crime scene could act as a potential biomarker for forensic personal identification. Next-generation DNA sequencing and bioinformatic analysis of fecal samples are revolutionizing our insights into gut microbial communities. While the formation of the gut microbiota is known to be multifactorial, it is unclear whether these characteristics can be applied to forensic applications. Therefore, the gut microbiota of healthy adults with different traits was investigated in this study.
resultsBased on the STAMP analysis of each study group, the difference in gut microbiota composition of male and female subjects was observed. The male group was characterized by taxa in the phylum Proteobacteria, while the female group was described by Synergistetes phylum. The gut bacterial community assembly mechanism was mainly affected by the deterministic process. In addition, gut microbiota composition showed meaningful discrimination in each of the BMI groups. At the phylum level, in male subjects, increased representative phyla were Patescibacteria (p < 0.05) in the underweight group and Bacteroidetes (p < 0.05) in the normal-weight group, while in the female group, the significantly different phyla were Bacteroidetes, Firmicutes, and Actinobacteria. At the genus level, 44 unique genera were found to be significantly distinct across BMI study groups. By Fisher's Linear Discriminant Analysis, ninety-four point four percent (94.4%) of original BMI grouped subjects were correctly classified. The linear regression analysis model showed an accuracy of seventy-four percent (74%) in predicting body type.
conclusionIn conclusion, subjects with different individual characters have specific gut microbiota, and can be discriminated by bioinformatics methods, suggesting it is promising to apply gut microbiota to forensic personal identification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.