Summary of Study ST002248
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001436. The data can be accessed directly via it's Project DOI: 10.21228/M83Q6B This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST002248 |
| Study Title | Quantitative multi-Omics analysis of paclitaxel-loaded Poly(lactide-co-glycolide) nanoparticles for identification of potential biomarkers for head and neck cancer |
| Study Summary | The narrow therapeutic index and significant potential for toxicity of chemotherapeutic drugs are two of the factors that restrict their use. Because of the usage of nanoparticles (NPs) as carriers for chemotherapeutic agents, the therapeutic efficacy of these treatments has been significantly boosted. This was accomplished by increasing the bioavailability of the pharmaceuticals and changing the bio-distribution profile of the drugs. Untargeted metabolomics has recently risen to the forefront as a potentially useful method for better comprehending the growth of tumours and the treatment outcomes of many kinds of cancer cells. In the current study, we used LCMS/MS-based untargeted metabolomics to identify differences in the metabolic profile of head and neck squamous cell carcinomas FaDu that were treated with the anticancer drug paclitaxel (PTX) delivered as free drug versus paclitaxel-loaded poly(lactide-co-glycolide) nanoparticles (PXT-PLGA-NPs). The experimental design consisted of four groups: those treated with DMSO (serving as a control), those treated with drug-free PXT, those treated with PXT-PLGA-NPs, and those treated with PLGA-NPs that lacked PTX. MetaboScape (V4, Bruker Daltonics) was used as the platform for the data analysis, and the results were compared to the Bruker Human Metabolome Data Base (HMDB) spectrum library 2.0. We found a total of 162 metabolites with a high level of confidence ascribed to them. The principal component analysis of the metabolites showed that PTX-free drugs grouped along with PXT-PLGA-NPs, but the control and PLGA-NPs without PXT clustered apart from drug-treated cells but together with each other. In further group pairwise comparisons, it was shown that 37 metabolites were substantially dysregulated (p 0.05) between the PTX-free medication and the PXT-PLGA-NPs. Out of these, it is important to call attention to the metabolites that became more abundant as a result of treatment with PXT-PLGA-NPs. These include 5-Thymidyclic acid with a 7.8-fold change (FC) and 3,4,5-Trimethoxycinnamic acid, both of which have been linked in the past to effective anticancer drug treatment (Quinn et al. 2015; Anantharaju et al. 2017). The findings suggest a more successful anti-drug therapy that makes use of NP, and also indicate a number of metabolites that have the potential to serve as indicators for determining how well an antidrug treatment is working. Our previous findings are consistent with these findings. |
| Institute | University of Sharjah |
| Department | Sharjah institute of medical research |
| Laboratory | Drug Delivery |
| Last Name | Jagal |
| First Name | Jayalakshmi |
| Address | Sharjah |
| jjagal@sharjh.ac.ae | |
| Phone | 0552863009 |
| Submit Date | 2022-07-14 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | LC-MS |
| Release Date | 2023-07-14 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003674 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Bruker Elute |
| Column | Hamilton Intensity Solo 2 C18 |
| MS Type | ESI |
| MS instrument type | QTOF |
| MS instrument name | Bruker timsTOF |
| Ion Mode | POSITIVE |
| Units | AU |
MS:
| MS ID: | MS003425 |
| Analysis ID: | AN003674 |
| Instrument Name: | Bruker timsTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Processing and statistical analysis were performed using MetaboScape® 4.0 (Bruker Daltonics). Analyte bucketing and identification were done using the software provided available T-ReX 2D/3D workflow with the following parameters: intensity threshold greater than 1000 counts and peak length equal to 7 spectra or greater. Feature quantitation was, performed using peak area and , for features present in at least 3 (of 12) samples (per cell type) were considered for statistical analysis. Analyte MS2 spectra were averaged on import and only features eluting between 0.3 and 25 min with mz between 50 and 1000 were considered further. |
| Ion Mode: | POSITIVE |
