ArticlePloS one2018
Metabolic profiling of femoral muscle from rats at different periods of time after death.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advances in postmortem interval estimation: A systematic review of machine learning and metabolomics across various tissue types.Forensic science, medicine, and pathology · 2025Pooled it
- "Omics" and Postmortem Interval Estimation: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Article
- Forensic Metabolomics: Enhancing PMI Estimation through Porcine Bone Tissue Profiling.Journal of proteome research · 2025Article
- Estimation of postmortem interval under different ambient temperatures based on multi-organ metabolomics and machine learning algorithm.International journal of legal medicine · 2025Article
- Current Understanding and Future Research Direction for Estimating the Postmortem Interval: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- UPLC/Q-TOF MS-based femoral muscle metabolomic analysis under high-temperature: a proof of concept for postmortem interval estimation.Frontiers in medicine · 2025Article
- A fundamental study on postmortem submersion interval estimation by metabolomics analyzing of gastrocnemius muscle from submersed rat models in freshwater.International journal of legal medicine · 2024Article
- Postmortem metabolomics: influence of time since death on the level of endogenous compounds in human femoral blood. Necessary to be considered in metabolome study planning?Metabolomics : Official journal of the Metabolomic Society · 2024Article
- The Role of Protein Degradation in Estimation Postmortem Interval and Confirmation of Cause of Death in Forensic Pathology: A Literature Review.International journal of molecular sciences · 2024Review
- A preliminary study on early postmortem submersion interval (PMSI) estimation and cause-of-death discrimination based on nontargeted metabolomics and machine learning algorithms.International journal of legal medicine · 2022Article
- Omics era in forensic medicine: towards a new ageTurkish journal of medical sciences · 2020Review
- Microbiota and metabolome responses in the cecum and serum of broiler chickens fed with plant essential oils or virginiamycin.Scientific reports · 2020Article
- AMetabolomics : Official journal of the Metabolomic Society · 2019Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
Clarification of postmortem metabolite changes can help characterize the process of biological degradation and facilitate investigations of forensic casework, especially in the estimation of postmortem interval (PMI). Metabolomics can provide information on the molecular profiles of tissues, which can aid in investigating postmortem metabolite changes. In this study, liquid chromatography-mass spectrometric (LC-MS) analysis was performed to identify the metabolic profiles of rat femoral muscle at ten periods of time after death within 168 h. The results obtained by reversed-phase liquid chromatography (RPLC)- and hydrophilic interaction liquid chromatography (HILIC)- electrospray ionization (ESI±) have revealed more than 16,000 features from all four datasets. Furthermore, 915 of these features were identified using an in-house database. Principal component analysis (PCA) demonstrated the time-specific features of molecular profiling at each period of time after death. Moreover, results from partial least squares projection to latent structures-discriminant analysis (PLS-DA) disclosed a strong association of metabolic alterations of at least 59 metabolites with the time since death, especially within 48 h after death, which expounds these metabolites as potential indicators in PMI estimation. Altogether, our results illustrate the potentiality of metabolic profiling in the evaluation of PMI and provide candidate metabolite markers with strong correlation with time since death for forensic purpose.
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