An overview of lipidomics utilizing cadaver derived biological samples

Lyu, Luheng; Sonik, Neel; Bhattacharya, Sanjoy K.

doi:10.1080/14789450.2021.1941894

Cited by 6 publications

(4 citation statements)

References 58 publications

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“…Furthermore, tissue-specific biomarker experiments in CVD patients are limited due to challenges in accessing surgically obtained valve biopsies from patients [ 31 ], but a greater challenge is obtaining nondiseased tissue biopsies as controls [ 40 ]. A handful of studies have used cadaveric samples as controls, and even fewer have used this strategy in the context of CVD [ 71 – 73 ]. None of these studies have discussed their approach to an acceptable PMI for use in their experiments.…”

Section: Discussionmentioning

confidence: 99%

A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques

Mutithu,

Aremu,

Mokaila

et al. 2024

PLoS ONE

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Introduction Rheumatic heart disease (RHD), degenerative aortic stenosis (AS), and congenital valve diseases are prevalent in sub-Saharan Africa. Many knowledge gaps remain in understanding disease mechanisms, stratifying phenotypes, and prognostication. Therefore, we aimed to characterise patients through clinical profiling, imaging, histology, and molecular biomarkers to improve our understanding of the pathophysiology, diagnosis, and prognosis of RHD and AS. Methods In this cross-sectional, case–controlled study, we plan to recruit RHD and AS patients and compare them to matched controls. Living participants will undergo clinical assessment, echocardiography, CMR and blood sampling for circulatory biomarker analyses. Tissue samples will be obtained from patients undergoing valve replacement, while healthy tissues will be obtained from cadavers. Immunohistology, proteomics, metabolomics, and transcriptome analyses will be used to analyse circulatory- and tissue-specific biomarkers. Univariate and multivariate statistical analyses will be used for hypothesis testing and identification of important biomarkers. In summary, this study aims to delineate the pathophysiology of RHD and degenerative AS using multiparametric CMR imaging. In addition to discover novel biomarkers and explore the pathomechanisms associated with RHD and AS through high-throughput profiling of the tissue and blood proteome and metabolome and provide a proof of concept of the suitability of using cadaveric tissues as controls for cardiovascular disease studies.

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Section: Discussionmentioning

confidence: 99%

A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques

Mutithu,

Aremu,

Mokaila

et al. 2024

PLoS ONE

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“…Omics sciences, following their large application in clinical medicine [16] are increasingly used in the forensic setting [17][18][19]. Recently, our research group reviewed previous, current and future potential applications of NMR metabolomics in the forensic field [20], while several works deal with metabolomics in perinatal asphyxia, in human and animal models [21][22][23].…”

Section: Discussionmentioning

confidence: 99%

Infant urinary metabolomic profile in a fatal acute methadone intoxication

et al. 2022

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A case report suspicious for a Sudden Infant Death Syndrome is here described. Pathological findings were consistent with an acute respiratory failure while toxicological analysis revealed an elevated blood methadone concentration. Death was then ascribed to an acute methadone intoxication. In addition to the routinary approach, the urinary sample collected at autopsy was investigated with a 1H NMR metabolomic approach and the identified metabolomic profile was challenged with the urinary metabolomic profiles previously obtained from 10 newborns who experienced perinatal asphyxia and 16 healthy control newborns. Intriguingly, the urinary profile of the methadone intoxicated infant was very similar to those belonging to the perinatal asphyxia newborns, especially to those belonging to the newborns characterised by the worst outcome. The results offer several hints on a shared metabolic derangement between different mechanisms of asphyxia/hypoxia. To the best of the authors’ knowledge, this is the first report of the use of a metabolomic approach in a pathological case, in which metabolomics offers useful additional information regarding the mechanism and the cause of death.

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“…Controlled analyses were performed to ensure no significant alteration of lipid profiles due to these steps. 34 Ultra-high performance liquid chromatography mass spectrometry (UHPLC-MS) using a Thermo Scientific Vanquish Horizon system and a Q Exactive mass spectrometer was used to analyze the AH samples. The LC-MS grade chemicals used for lipid extractions and mass spec analysis included chloroform, methanol, water, acetonitrile, and isopropyl alcohol.…”

Section: Human Donors and Chemicalsmentioning

confidence: 99%