Impact of myocardial reperfusion on human plasma lipidome

Surendran, Arun; Atefi, Negar; Ismail, Umar; Shah, Ashish; Ravandi, Amir

doi:10.1016/j.isci.2022.103828

Cited by 8 publications

(8 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Frozen plasma samples were thawed for nearly 20 min. Lipids were extracted using chloroform and methanol as previously described [ 18 , 19 ]. Briefly, 10 μL of plasma was added to 200 μL of chloroform/methanol (2:1, v / v ) along with 30 μL of internal lipid standards (ISTD) in Eppendorf tubes, vortexed for 10 min, and sonicated in a water bath at room temperature (RT) for 30 min.…”

Section: Methodsmentioning

confidence: 99%

“…The lipidomic profiling was performed using a Prominence chromatographic system (Shimadzu Corporation, Canby, OR, USA) coupled with an AbSciex 4000 QTRAP triple quadrupole mass spectrometer (AB Sciex, Framingham, MA, USA). The entire LC/MS methodology for this work, including details of ISTD, quality control, and data processing, are described in detail in our previously published work [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

“…In addition, we showed that selected lipid species could serve as markers of myocardial infarct size. More recently, in lipidomics on the plasma of STEMI patients, we showed that human plasma lipidome rapidly shifts during myocardial ischemia and reperfusion, and specific lipids could predict future cardiovascular events [ 18 ]. These studies show that lipid metabolism is perturbed in STEMI patients following PCI.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lipidomic Predictors of Coronary No-Reflow

Surendran

Ismail²,

Atefi³

et al. 2023

Metabolites

Self Cite

View full text Add to dashboard Cite

The ‘no-reflow’ phenomenon (NRP) after primary percutaneous coronary intervention (PCI) is a serious complication among acute ST-segment elevation myocardial infarction (STEMI) patients. Herein, a comprehensive lipidomics approach was used to quantify over 300 distinct molecular species in circulating plasma from 126 patients with STEMI before and after primary PCI. Our analysis showed that three lipid classes: phosphatidylcholine (PC), alkylphosphatidylcholine (PC(O)), and sphingomyelin (SM), were significantly elevated (p < 0.05) in no-reflow patients before primary PCI. The levels of individual fatty acids and total fatty acid levels were significantly lower (p < 0.05) in no-reflow subjects after PCI. The grouping of patients based on ECG ST-segment resolution (STR) also demonstrated the same trend, confirming the possible role of these differential lipids in the setting of no-reflow. Sphingomyelin species, SM 41:1 and SM 41:2, was invariably positively correlated with corrected TIMI frame count (CTFC) at pre-PCI and post-PCI. The plasma levels of SM 42:1 exhibited an inverse association (p < 0.05) consistently with tumor necrosis factor-alpha (TNF-α) at pre-PCI and post-PCI. In conclusion, we identified plasma lipid profiles that distinguish individuals at risk of no-reflow and provided novel insights into how dyslipidemia may contribute to NRP after primary PCI.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lipidomic Predictors of Coronary No-Reflow

Surendran

Ismail²,

Atefi³

et al. 2023

Metabolites

Self Cite

View full text Add to dashboard Cite

show abstract

“…Lipid internal standards (ISTD) were either odd-chain or deuterated and were not present endogenously. Samples were transferred into the micro insert in sample vials for lipid analysis (for details on lipid abbreviations, chemical information, and LC-MS conditions for each lipid species, refer to Supplementary Table Lipids were separated on a reverse-phase liquid chromatography-electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) platform using a Prominence chromatographic system (Shimadzu Corporation, OR, USA) as previously described [156]. Instrument control and data processing were done with Analyst v1.…”

Section: Liquid Chromatography Tandem Mass Spectrometry Analysis Of L...mentioning

confidence: 99%

A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma

Shojaei

Amereh

Alizadeh

et al. 2022

Preprint

View full text Add to dashboard Cite

Chemoresistance is a major clinical challenge in management of glioblastoma (GBM). Temozolomide (TMZ) is the chemotherapeutic drug of choice for GBM; however, the therapeutic effect of TMZ is limited due to the development of resistance. Recapitulating GBM chemoresistance in a controlled environment is thus essential in understanding the mechanism of chemoresistance. Herein, we present a hybrid microphysiological model of chemoresistant GBM-on-a-chip (HGoC) by directly co-culturing TMZ-resistant GBM spheroids with healthy neurons to mimic the microenvironment of both the tumor and the surrounding healthy tissue. We characterized the model with proteomics, lipidomics, and secretome assays. The results showed that our artificial model recapitulated the molecular signatures of recurrent GBM in humans. Both showed alterations in vesicular transport and cholesterol pathways, mitotic quiescence, and a switch in metabolism to oxidative phosphorylation associated with a transition from mesenchymal to amoeboid. This is the first report to unravel the interplay of all these molecular changes as a mechanism of chemoresistance in glioblastoma. Moreover, we have shown that acquisition of resistance increases invasiveness and the presence of neurons decreases this property.

show abstract

“…4).Lipids were separated on a reverse-phase liquid chromatography-electrospray ionization tandem mass spectrometry (LC/ESI-MS/MS) platform using a Prominence chromatographic system (Shimadzu Corporation, OR, USA) as previously described[156]. Instrument control and data processing were done with Analyst v1.6 and MultiQuant v2.1 software (AB Sciex, MA, USA).…”

mentioning

confidence: 99%

A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma

Shojaei

Amereh²,

Alizadeh

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Chemoresistance is a major clinical challenge in the management of glioblastoma (GBM) Temozolomide (TMZ) is the chemotherapeutic drug of choice for GBM; however, the therapeutic effect of TMZ is limited due to the development of resistance. Recapitulating GBM chemoresistance in a controlled environment is thus essential in understanding the mechanism of chemoresistance. Herein, we present a hybrid microphysiological model of chemoresistant GBM-on-a-chip (HGoC) by directly co-culturing TMZ-resistant GBM spheroids with healthy neurons to mimic the microenvironment of both the tumor and the surrounding healthy tissue. We characterized the model with proteomics, lipidomics, and secretome assays. The results showed that our artificial model recapitulated the molecular signatures of recurrent GBM in humans. Both showed alterations in vesicular transport and cholesterol pathways, mitotic quiescence, and a switch in metabolism to oxidative phosphorylation associated with a transition from mesenchymal to amoeboid. This is the first report to unravel the interplay of all these molecular changes as a mechanism of chemoresistance in glioblastoma. Moreover, we have shown that the acquisition of resistance increases invasiveness and the presence of neurons decreases this property.

show abstract

Impact of myocardial reperfusion on human plasma lipidome

Cited by 8 publications

References 45 publications

Lipidomic Predictors of Coronary No-Reflow

Lipidomic Predictors of Coronary No-Reflow

A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma

A multi-omics analysis of glioma chemoresistance using a hybrid microphysiological model of glioblastoma

Contact Info

Product

Resources

About