Metabolomic studies as a tool for determining the post-mortem interval (PMI) in stillborn calves

Jawor, Paulina; Ząbek, Adam; Wojtowicz, Wojciech; Król, Dawid; Stefaniak, Tadeusz; Młynarz, Piotr

doi:10.1186/s12917-019-1935-4

Cited by 17 publications

(14 citation statements)

References 36 publications

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“…Despite the authors introduced the new term "thanatometabolomics" to indicate the proper identification of biomarkers of time since death, they did not propose a model for PMI estimation, and they concluded their discussion highlighting the need of further investigations to accurately determine the time elapsed since death. 1 H NMR metabolomics was also recently used in a veterinary context to distinguish stillborn calves according to the PMI (Jawor et al 2019). Although this paper did not directly focus on the determination of time since death, some data may have a relevant interest for forensic purposes.…”

Section: Metabolome Modifications After Deathmentioning

confidence: 99%

“…1 H NMR metabolomics was also recently used in a veterinary context to distinguish stillborn calves according to the PMI (Jawor et al 2019 ). Although this paper did not directly focus on the determination of time since death, some data may have a relevant interest for forensic purposes.…”

Section: Metabolome Modifications After Deathmentioning

confidence: 99%

“…, Heart, Kidney, Liver, Serum, Skin, Spleen, Plasma, Urine, VH, WAT Human, Calf, Goat, Mice, SheepLocci et al (2014Locci et al ( , 2019,Snytnikova et al (2017a, b),Jawor et al 2019, andMora-Ortiz et al 2019 Alanine Cornea, Kidney, Plasma, Spleen, Serum, Skin, Urine, VH, WAT Human, Calf, Goat, MiceLocci et al (2014),Rosa et al (2015),Snytnikova et al (2017aSnytnikova et al ( , 2017b, Jawor et al(2019), and Mora-Ortiz et al (2019) Ascorbate AH, Cornea, Kidney, Serum, Spleen, Urine, VH Human, Calf, Goat, Mice, Sheep Locci et al (2014, 2019), Snytnikova et al (2017a, b), Jawor et al (2019), and Mora-Ortiz et al (2019) BCAA AH, Cornea, Heart, Kidney, Liver, Plasma, Serum, Spleen, Urine, VH, WAT Human, Calf, Goat, Mice, Sheep Locci et al (2014, 2019), Snytnikova et al (2017a, 2017b), Jawor et al (2019), Mora-Ortiz et al (2019) Betaine Kidney, AH, VH, Serum, Urine Human, Calf, Goat, Mice, Sheep Locci et al (2014, 2019) Snytnikova et al (2017a), Jawor et al (2019), and Mora-Ortiz et al (2019) Carnitine Cornea, Heart, Serum Human, Mice Snytnikova et al (2017a, b) and Mora-Ortiz et al (2019) Creatine AH, Cornea, Heart, Kidney, Liver, Plasma, Skin, Serum, Spleen, Urine, WAT, VH Human, Calf, Goat, Mice, Sheep Locci et al (2014, 2019), Rosa et al (2015), Snytnikova et al (2017b), Jawor et al (2019), and Mora-Ortiz et al (2019) Creatinine Cornea, AH, Plasma, Serum, Urine Human, Calf, Sheep, Snytnikova et al (2017a, 2017b), Jawor et al (2019), and Locci et al (2019) Choline AH, Cornea, Heart, Kidney, Plasma, Serum, Spleen, Urine, VH Human, Calf, Goat, Mice, Rabbit, Sheep Locci et al (2014, 2019), Rosa et al (2015), Zelentsova et al (2016), Snytnikova et al (2017a, b), Jawor et al (2019), and Mora-Ortiz et al (2019) Formate Cornea, Spleen, AH, Plasma, Urine Human, Calf, Mice, Sheep Snytnikova et al (2017a, b), Jawor et al (2019), Locci et al (2019), and Mora-Ortiz et al (2019) Glucose Heart, Kidney, Liver, Plasma, Skin, Spleen, Urine, VH, WAT Calf, Goat, Mice Locci et al (2014), Rosa et al (2015), Jawor et al (2019), and Mora-Ortiz et al (2019) Glutamate AH, Heart, Kidney, Liver, Plasma, Serum, Skin, Spleen, VH, WAT Human, Calf, Mice, Rabbit, Sheep Zelentsova et al (2016), Snytnikova et al (2017a), Jawor et al (2019), Locci et al 2019, and Mora-Ortiz et al (2019) Glutamine Heart, Plasma, Serum, Spleen, Urine, VH Human, Calf, Goat, Mice Locci et al (2014), Snytnikova et al (2017a), Mora-Ortiz et al (2019), and Jawor et al (2019) Glycerol AH, Cornea, Heart, Serum, Spleen, VH Human, Goat, Mice, Rabbit Locci et al (2014), Zelentsova et al (2016), Snytnikova et al (2017a, b), and Mora-Ortiz et al (2019) Glycine AH, Cornea, Serum, VH Human, Rabbit Zelentsova et al (2016), and Snytnikova et al (2017a, b) 3-OH-butyrate AH, Urine, VH Calf, Goat, Sheep Rosa et al (2015), Jawor et al (2019), and Locci et al (2019) Histidine Kidney, Serum, Urine Human, Calf, Mice Snytnikova et al (2017a), Mora-Ortiz et al (2019), and Jawor et al (2019) Hypoxanthine AH, Cornea, Heart, Serum, Urine, VH Human, Calf, Goat, Mice, Rabbit, Sheep Rosa et al (2015), Zelentsova et al (2016), Snytnikova et al (2017a, b), Jawor et al (2019), Mora-Ortiz et al (2019), and Locci et al (2019) Lactate AH, Cornea, Heart, Kidney, Plasma, Serum,...…”

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confidence: 99%

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Forensic NMR metabolomics: one more arrow in the quiver

et al. 2020

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Introduction NMR metabolomics is increasingly used in forensics, due to the possibility of investigating both endogenous metabolic profiles and exogenous molecules that may help to describe metabolic patterns and their modifications associated to specific conditions of forensic interest. Objectives The aim of this work was to review the recent literature and depict the information provided by NMR metabolomics. Attention has been devoted to the identification of peculiar metabolic signatures and specific ante-mortem and post-mortem profiles or biomarkers related to different conditions of forensic concern, such as the identification of biological traces, the estimation of the time since death, and the exposure to drugs of abuse. Results and Conclusion The results of the described studies highlight how forensics can benefit from NMR metabolomics by gaining additional information that may help to shed light in several forensic issues that still deserve to be further elucidated.

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Section: Metabolome Modifications After Deathmentioning

confidence: 99%

Section: Metabolome Modifications After Deathmentioning

confidence: 99%

mentioning

confidence: 99%

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Forensic NMR metabolomics: one more arrow in the quiver

et al. 2020

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“…Recently, metabolomics has become a powerful high-throughput bioanalytical method for detecting important metabolite biomarkers in ruminants in response to different diets or environmental stresses [5][6][7]. In a previous metabolomics study, analysis of serum and urine samples collected from sheep after 12 h and 48 h of road transport by nuclear magnetic resonance (NMR) spectroscopy revealed peroxisomal fatty acid oxidation as a metabolic response to transport-induced stress [8].…”

Section: Introductionmentioning

confidence: 99%

Comparative metabolome analysis of serum changes in sheep under overgrazing or light grazing conditions

Zhang

Gao

Guo

et al. 2019

Preprint

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Background Overgrazing is a primary contributor to severe reduction in forage quality and production in Inner Mongolia, leading to extensive ecosystem degradation, sheep health impairment and growth performance reduction. However, no clear information about the effect of overgrazing on sheep health and nutritional metabolism is available because no objective biomarkers are currently evident. We hereby hypothesize that reduced sheep growth performance under overgrazing conditions would be associated with metabolic and immune alterations. This study used an untargeted metabolomics analysis by conducting ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) of sheep serum under overgrazing and light grazing conditions to identify metabolic disruptions in response to overgrazing.Results The sheep daily body weight gain as well as serum biochemical parameters associated with immune responses, protein synthesis and energy production (immunoglobulin G, albumin, glucose, and nonesterified fatty acids) were significantly decreased with overgrazing than under the light grazing condition. In contrast, other serum parameters such as alanine and aspartate aminotransferase, alkaline phosphatase, total bilirubin, blood urea nitrogen, and interleukin-8 were markedly higher in the overgrazing group. Principal component analysis discriminated the metabolomes of the light grazing from the overgrazing group. Multivariate and univariate analyses revealed alternations in the serum concentrations of 15 metabolites (9 metabolites exhibited a marked increase, whereas 6 metabolites showed a significant decrease) in the overgrazing group. Major alterations of fatty acid oxidation, bile acid biosynthesis, and purine and protein metabolism were observed.Conclusions These findings offer metabolic evidence for putative biomarkers for overgrazing-induced changes in serum metabolism. Target-identification of these particular metabolites may potentially increase our knowledge of the molecular mechanisms of impaired sheep health and reduced sheep growth performance under overgrazing conditions.

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“…Recently, metabolomics has become a powerful high-throughput bioanalytical method for detecting important metabolite biomarkers in ruminants in response to different diets or environmental stresses [5–7]. In a previous metabolomics study, analysis of serum and urine samples collected from sheep after 12 h and 48 h of road transport by nuclear magnetic resonance (NMR) spectroscopy revealed peroxisomal fatty acid oxidation as a metabolic response to transport-induced stress [8].…”

Section: Introductionmentioning

confidence: 99%

Comparative metabolome analysis of serum changes in sheep under overgrazing or light grazing conditions

Zhang

Gao

et al. 2019

BMC Vet Res

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Background:Overgrazing is a primary contributor to severe reduction in forage quality and production in Inner Mongolia, leading to extensive ecosystem degradation, sheep health impairment and growth performance reduction. Further studies to identify serum biomarkers that reflect changes in sheep health and nutritional status following overgrazing would be beneficial. We hereby hypothesize that reduced sheep growth performance under overgrazing conditions would be associated with metabolic and immune response alterations. This study used an untargeted metabolomics analysis by conducting ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) of sheep serum under overgrazing and light grazing conditions to identify metabolic disruptions in response to overgrazing. Results: The sheep body weight gains as well as serum biochemical variables associated with immune responses and nutritional metabolism (immunoglobulin G, albumin, glucose, and nonesterified fatty acids) were significantly decreased with overgrazing compared with light grazing condition. In contrast, other serum parameters such as alanine and aspartate aminotransferase, alkaline phosphatase, total bilirubin, blood urea nitrogen, and interleukin-8 were markedly higher in the overgrazing group. Principal component analysis discriminated the metabolomes of the light grazing from the overgrazing group. Multivariate and univariate analyses revealed changes in the serum concentrations of 15 metabolites (9 metabolites exhibited a marked increase, whereas 6 metabolites showed a significant decrease) in the overgrazing group. Major changes of fatty acid oxidation, bile acid biosynthesis, and purine and protein metabolism were observed. Conclusions: These findings offer metabolic evidence for putative biomarkers for overgrazing-induced changes in serum metabolism. Target-identification of these particular metabolites may potentially increase our knowledge of the molecular mechanisms of altered immune responses, nutritional metabolism, and reduced sheep growth performance under overgrazing conditions.

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Metabolomic studies as a tool for determining the post-mortem interval (PMI) in stillborn calves

Cited by 17 publications

References 36 publications

Forensic NMR metabolomics: one more arrow in the quiver

Forensic NMR metabolomics: one more arrow in the quiver

Comparative metabolome analysis of serum changes in sheep under overgrazing or light grazing conditions

Comparative metabolome analysis of serum changes in sheep under overgrazing or light grazing conditions

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