TY - JOUR
T1 - Towards identifying the mode of action of drugs using live-cell FTIR spectroscopy
AU - Altharawi, Ali
AU - Rahman, Khondaker Miraz
AU - Chan, K. L. Andrew
PY - 2019/4/21
Y1 - 2019/4/21
N2 - Fourier transform infrared spectroscopy (FTIR) has been shown to be a promising tool for identifying the mode of action of drugs. However, most previous studies have focused on the analysis of fixed or dried cells. The measurement of living cells has the advantage of obtaining time series data, and the in situ approach eliminates the need for fixing or drying the cells. In this study, the potential of live-cell FTIR method for the identification of the mode of action of drugs was demonstrated. Four different drugs were tested, with two of the drugs having the same mode of action (tamoxifen and toremifene) and the other two having different modes of action (imatinib and doxorubicin). Live cells were treated in the four drugs at and below the IC 50 level (i.e. the concentration of drug required to inhibit the growth of cells by 50%), and the changes to their spectra after the addition of drugs were monitored over a 24-hour period. Principal component analysis (PCA) of the spectral data shows that drugs with different modes of action are well-separated, while the drugs with the same mode of action are grouped together. The results also show that at IC 50 , the separation appears to be the clearest at 2 hours for imatinib and tamoxifen/toremifene and 6 hours for doxorubicin. However, at 50% of the IC 50 drug concentration, the separation appears to be the best at longer incubation time, i.e. 24 hours, for all four drugs. In conclusion, live-cell FTIR has shown to be able to distinguish and group spectral signatures of cells treated with drugs of known modes of action after a relatively short time of exposure. Further collection of live-cell data would enable an algorithm to be developed for the prediction of the modes of action of novel drugs, which can help in the preclinical drug screening process.
AB - Fourier transform infrared spectroscopy (FTIR) has been shown to be a promising tool for identifying the mode of action of drugs. However, most previous studies have focused on the analysis of fixed or dried cells. The measurement of living cells has the advantage of obtaining time series data, and the in situ approach eliminates the need for fixing or drying the cells. In this study, the potential of live-cell FTIR method for the identification of the mode of action of drugs was demonstrated. Four different drugs were tested, with two of the drugs having the same mode of action (tamoxifen and toremifene) and the other two having different modes of action (imatinib and doxorubicin). Live cells were treated in the four drugs at and below the IC 50 level (i.e. the concentration of drug required to inhibit the growth of cells by 50%), and the changes to their spectra after the addition of drugs were monitored over a 24-hour period. Principal component analysis (PCA) of the spectral data shows that drugs with different modes of action are well-separated, while the drugs with the same mode of action are grouped together. The results also show that at IC 50 , the separation appears to be the clearest at 2 hours for imatinib and tamoxifen/toremifene and 6 hours for doxorubicin. However, at 50% of the IC 50 drug concentration, the separation appears to be the best at longer incubation time, i.e. 24 hours, for all four drugs. In conclusion, live-cell FTIR has shown to be able to distinguish and group spectral signatures of cells treated with drugs of known modes of action after a relatively short time of exposure. Further collection of live-cell data would enable an algorithm to be developed for the prediction of the modes of action of novel drugs, which can help in the preclinical drug screening process.
UR - http://www.scopus.com/inward/record.url?scp=85064179735&partnerID=8YFLogxK
U2 - 10.1039/c8an02218f
DO - 10.1039/c8an02218f
M3 - Article
C2 - 30865733
AN - SCOPUS:85064179735
SN - 0003-2654
VL - 144
SP - 2725
EP - 2735
JO - Analyst
JF - Analyst
IS - 8
ER -