Thanatometabolomics: introducing NMR-based metabolomics to identify metabolic biomarkers of the time of death

被引:25
|
作者
Mora-Ortiz, Marina [1 ,2 ]
Trichard, Marianne [3 ]
Oregioni, Alain [4 ]
Claus, Sandrine P. [1 ]
机构
[1] Univ Reading, Dept Food & Nutr Sci, Whiteknights Campus, Reading RG6 6AP, Berks, England
[2] Kings Coll London, Dept Twin Res, St Thomas Hosp Campus,3rd Floor South Wing, London SE1 7EH, England
[3] Ecole Natl Super Chim Biol & Phys Bordeaux ENSCBP, Dept Biol Alimentaire, F-33600 Pessac, France
[4] MRC, Biomed NMR Ctr, Francis Crick Inst, 1 Midland Rd, London NW1 1AT, England
基金
英国医学研究理事会;
关键词
Post-mortem metabolome; Nuclear magnetic resonance spectroscopy (NMR); Biomarkers; Forensic research; LIVER-TRANSPLANTATION; POSTMORTEM CHANGES; LACTATE METABOLISM; ADIPOSE-TISSUE; COMPLEX; SPECTROSCOPY; BLOOD; HOST; RISK;
D O I
10.1007/s11306-019-1498-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionDeath is the permanent cessation of the critical functions of the organism as a whole. However, the shutdown of a complex biological organism does not abruptly terminate at time of death. New high-throughput technologies allow the systematic investigation of the biochemical modulations occurring after death. Recent genomics studies have demonstrated that genes remain active after death, triggering upregulation of some genes and initiating feedback loops. These genes were mostly involved in pathways related to immunity, inflammation and cancer. These genetic modulations suggest many biochemical events persist after death, which can be captured using a metabolomics approach.ObjectivesThis proof of concept work aimed to determine whether NMR spectroscopy could identify metabolomics changes occurring after death, and characterise the nature of these metabolomics modulations.MethodsHigh-resolution H-1-NMR spectroscopy was applied to six biological matrices: heart, kidney, liver, spleen, skin and white adipose tissue of ten adult mice at three different type points.ResultsForty-three metabolites were associated with post mortem metabolomics modulations. Kidney, heart and spleen showed the highest metabolic perturbations. Conversely, skin and white adipose tissue were the least altered matrices. Early metabolic modulations were associated with energy metabolism and DNA synthesis, by contrast, late metabolomics modulations were associated with microbial metabolism.ConclusionsNMR has proven potential to determine the time of death based on post-mortem metabolomics modulations. This could be useful in the context of transplants, forensic studies and as internal quality control in metabolomics studies. Further investigations are required to validate these findings in humans in order to determine which compounds robustly reflect post-mortem metabolic fluctuations to accurately determine the time of death.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] NMR-based metabolomics as a significant tool for human nutritional research and health applications
    Chowdhury, Chandrama Roy
    Kavitake, Digambar
    Jaiswal, Krishna Kumar
    Jaiswal, Km Smriti
    Reddy, G. Bhanuprakash
    Agarwal, Vishal
    Shetty, Prathapkumar Halady
    FOOD BIOSCIENCE, 2023, 53
  • [22] Metabolic responses in gills of Manila clam Ruditapes philippinarum exposed to copper using NMR-based metabolomics
    Zhang, Linbao
    Liu, Xiaoli
    You, Liping
    Zhou, Di
    Wu, Huifeng
    Li, Lianzhen
    Zhao, Jianmin
    Feng, Jianghua
    Yu, Junbao
    MARINE ENVIRONMENTAL RESEARCH, 2011, 72 (1-2) : 33 - 39
  • [23] NMR-Based Metabolic Snapshot from Minibronchoalveolar Lavage Fluid: An Approach To Unfold Human Respiratory Metabolomics
    Viswan, Akhila
    Sharma, Raj Kumar
    Azim, Afzal
    Sinha, Neeraj
    JOURNAL OF PROTEOME RESEARCH, 2016, 15 (01) : 302 - 310
  • [24] NMR-Based Serum Metabolomics Revealed Distinctive Metabolic Patterns in Reactive Arthritis Compared with Rheumatoid Arthritis
    Dubey, Durgesh
    Kumar, Sandeep
    Chaurasia, Smriti
    Guleria, Anupam
    Ahmed, Sakir
    Singh, Rajeev
    Kumari, Reena
    Modi, Dinesh Raj
    Misra, Ramnath
    Kumarr, Dinesh
    JOURNAL OF PROTEOME RESEARCH, 2019, 18 (01) : 130 - 146
  • [25] Characterization of the metabolic actions of crude versus dispersed oil in salmon smolts via NMR-based metabolomics
    Lin, Ching Yu
    Anderson, Brian S.
    Phillips, Bryn M.
    Peng, Andrew C.
    Clark, Sara
    Voorhees, Jennifer
    Wu, Hong-Dar I.
    Martin, Marida J.
    McCall, James
    Todd, Charles R.
    Hsieh, Fushing
    Crane, David
    Viant, Mark R.
    Sowby, Michael L.
    Tjeerdema, Ronald S.
    AQUATIC TOXICOLOGY, 2009, 95 (03) : 230 - 238
  • [26] Serum Metabolic Disturbances in Lung Cancer Investigated through an Elaborative NMR-Based Serum Metabolomics Approach
    Singh, Anjana
    Prakash, Ved
    Gupta, Nikhil
    Kumar, Ashish
    Kant, Ravi
    Kumar, Dinesh
    ACS OMEGA, 2022, 7 (06): : 5510 - 5520
  • [27] NMR-Based Metabolomics for Organic Farming Traceability of Early Potatoes
    Pacifico, Daniela
    Casciani, Lorena
    Ritota, Mena
    Mandolino, Giuseppe
    Onofri, Chiara
    Moschella, Anna
    Parisi, Bruno
    Cafiero, Caterina
    Valentin, Massimiliano
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2013, 61 (46) : 11201 - 11211
  • [28] A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments
    Dona, Anthony C.
    Kyriakides, Michael
    Scott, Flora
    Shephard, Elizabeth A.
    Varshavi, Dorsa
    Veselkov, Kirill
    Everett, Jeremy R.
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2016, 14 : 135 - 153
  • [29] Quantitative NMR-Based Biomedical Metabolomics: Current Status and Applications
    Crook, Alexandra A.
    Powers, Robert
    MOLECULES, 2020, 25 (21):
  • [30] NMR-Based Metabolic Profiling Identifies Biomarkers of Liver Regeneration Following Partial Hepatectomy in the Rat
    Bollard, Mary E.
    Contel, Nancy R.
    Ebbels, Timothy M. D.
    Smith, Leon
    Beckonert, Olaf
    Cantor, Glenn H.
    Lehman-McKeeman, Lois
    Holmes, Elaine C.
    Lindon, John C.
    Nicholson, Jeremy K.
    Keun, Hector C.
    JOURNAL OF PROTEOME RESEARCH, 2010, 9 (01) : 59 - 69