Diagnosis of Lung Cancer by FTIR Spectroscopy Combined With Raman Spectroscopy Based on Data Fusion and Wavelet Transform.

Lung cancer is a fatal tumor threatening human health. It is of great significance to explore a diagnostic method with wide application range, high specificity, and high sensitivity for the detection of lung cancer. In this study, data fusion and wavelet transform were used in combination with Fourier transform infrared (FTIR) spectroscopy and Raman spectroscopy to study the serum samples of patients with lung cancer and healthy people. The Raman spectra of serum samples can provide more biological information than the FTIR spectra of serum samples. After selecting the optimal wavelet parameters for wavelet threshold denoising (WTD) of spectral data, the partial least squares-discriminant analysis (PLS-DA) model showed 93.41% accuracy, 96.08% specificity, and 90% sensitivity for the fusion data processed by WTD in the prediction set. The results showed that the combination of FTIR spectroscopy and Raman spectroscopy based on data fusion and wavelet transform can effectively diagnose patients with lung cancer, and it is expected to be applied to clinical screening and diagnosis in the future.

Diagnosis of Lung Cancer by ATR-FTIR Spectroscopy and Chemometrics.

Lung cancer is the leading cause of cancer-related death in the world. Early diagnosis has great significance for the survival of patients with lung cancer. In this paper, attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy combined with chemometrics was used to study the serum samples from patients with lung cancer and healthy people. The results of spectral band area comparison showed that the concentrations of protein, lipid and nucleic acids molecules in serum of patients with lung cancer were increased compared with those in healthy people. The original spectra were preprocessed to improve the accuracy of principal component regression (PCR) and partial least squares-discriminant analysis (PLS-DA) models. PLS-DA results for first derivative spectral data in nucleic acids (1250-1000cm-1) band showed 80% sensitivity, 91.89% specificity and 87.10% accuracy with high R c 2 of 0.8949 and R v 2 of 0.8153, low RMSEC of 0.3136 and RMSEV of 0.4180. It is shown that ATR-FTIR spectroscopy combined with chemometrics might be developed as a simple method for clinical screening and diagnosis of lung cancer.

Diagnosis of liver cancer by FTIR spectra of serum.

Liver cancer is the most common fatal malignant tumor in the world. Early diagnosis of liver cancer can improve the survival rate of the patients with liver disease. In this paper, Fourier transform infrared (FTIR) spectroscopy combined with curve fitting and chemometrics was used to distinguish the serum from patients from that of healthy people. The curve fitting results in protein range of 1700-1600 cm-1 showed that there were differences in the secondary structure of protein in serum between the patients with liver cancer and healthy people. Principal component analysis (PCA) in lipid range of 2900-2800 cm-1 could distinguish the serum of patients with liver cancer from that of healthy people. The first two principal components PC1 and PC2 explained 95% of the total data variance. The sensitivity and specificity of partial least squares discriminant analysis (PLS-DA) in lipid range of 2900-2800 cm-1 reached 92.85% and 95.23% respectively. It is shown that FTIR spectroscopy might be developed as an effective method for the diagnosis of liver cancer.

[Effects of motilin agonists on intracellular calcium mobilization in cultured rat myenteric neurons].

OBJECTIVE: To investigate the effects of motilin agonists on intracellular Ca(2+) mobilization in primary cultured rat myenteric neurons. METHODS: Motilin-induced and erythromycin-induced intracellular Ca(2+) signaling was studied in primary cultures of rat myenteric neurons using the radiometric Ca(2+) indicator Furo3/AM with a laser confocal microscope. RESULTS: In Hank's solution, 10(-8), 10(-7), and 10(-6) mol/L motilin could elevate intracellular Ca(2+) concentration ([Ca(2+)]i) to the peak levels of 10.6-/+2.1, 15.9-/+1.2, and 30.6-/+3.7 respectively with their relative percentage change in fluorescent intensity of (40.1-/+6.3)%, (63.0-/+11.2)%, and (100.8-/+18.4)% respectively, indicating the dose-dependent effect of motilin on [Ca(2+)]i. In Hank's solution, 10 microg/ml erythromycin could induce the elevation of [Ca(2+)]i to the average peak of 23.2-/+5.6 with the relative percentage change in fluorescent intensity of (82.8-/+13.0)%. When pretreated with the antibody against motilin receptor in Hank's solution, the effect of 10 microg/ml erythromycin was almost inhibited completely. CONCLUSION: Motilin can increase [Ca(2+)]i, and erythromycin also has this effect by binding to motilin receptor.