PhD Scientific Days 2018

Poster presentations: Pharmaceutical

Metabolic profiling of human melanoma cells with high and low metastatic capacity

Előadó neve

Rezvani, Nima Kakhki

Előadó munkahelye

Department of pharmaceutical sciences

Előadó telefonszáma

06709787212

Előadó e-mail címe

nima.rezvani@pharma.semmelweis-univ.hu

Az előadás címe

Metabolic profiling of human melanoma cells with high and low metastatic capacity

Szerző(k) neve és munkahelye

1 Nima Rezvani Kakhki, Department of pharmaceutical sciences, Budapest
2 Marta Kraszni Mazakne, Department of pharmaceutical sciences, Budapest
3 Bela Noszal, Department of pharmaceutical sciences, Budapest

Bemutatás módja

Poszter

Szekció

Poster presentations: Pharmaceutical

Language of the presentation

English

Témacsoport

pharmaceutical sciences

Összefoglaló szövege

90% of skin cancer mortality is caused by melanoma, a malignant symptom, infamous for its ability to metastasize. Changes in the metabolome are molecular consequences from perturbations in cellular activity. Metabolic profiling is therefore a promising tool for early recognition, and the development of its specific therapy, an unmet medical need.

The aim of our research was to find distinctive metabolic properties between melanoma cell lines with low (WM983B) and high (HT168M1) metastatic potential using high field Nuclear Magnetic Resonance (NMR) spectroscopy combined with chemometric statistical analysis to assign the hundreds of 1H NMR peaks.

Extraction of the polar metabolites from the cultured cells was performed with a methanol/chloroform/water 10/10/9 mixture. The aqueous/methanolic phase was separated and dried under a nitrogen gas stream. All dried extracts were re-dissolved in D2O containing TSP reference, and the pH was set to 7.00 +/-0.02. 600 MHz NMR spectra of the solutions were recorded and uniformly processed. Data matrices were built from the integrals of the NMR spectra using 0.02 ppm bins and introduced to the Metaboanalyst program for statistical analysis.

Partial least squares projection to latent structure discriminant analysis (PLS-DA) of the data showed clear differences among the cell lines investigated. The most important, distinctive metabolites were glycerophosphocholine (GPC), gluthathione, lactic acid and myoinositol showing highest level in the highly metastatic cell line and lowest level in the healthy one. In addition there is less, but still significant difference in the alanine, taurine and leucine levels. These changes in the small molecule metabolic profile facilitate the proliferation of cancerous cells and provide potential biomarkers to differentiate between melanoma cells with different metastatic potential.

Data of the presenter

Doctoral School: Pharmaceutical Sciences
Program: Modern Trends in Pharmaceutical Scientific Research
Supervisor: Bela Noszal, Marta Kraszni Mazakne
E-mail address: nima.rezvani@pharma.semmelweis-univ.hu

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

2881

Presentation file URL

//docs.kmcongress.com/phd2018/eposter_4457.jpeg

Authors (legacy)

1 Nima Rezvani Kakhki, Department of pharmaceutical sciences, Budapest
2 Marta Kraszni Mazakne, Department of pharmaceutical sciences, Budapest
3 Bela Noszal, Department of pharmaceutical sciences, Budapest