TEM study of chronic alcoholism effects on early carcinogenesis by probing the nanoscale structural alterations of cell nuclei.

Nanoscale structural alteration in the nuclei of cells with the progression of carcinogenesis is due to the rearrangements of the basic building blocks in the cell such as DNA, RNA, lipids, etc. Although epigenetic modifications underlie the development of cancer, exposure to carcinogenic chemicals such as alcohol also enhances the development of cancer. We report the effects of chronic alcoholism on early-carcinogenesis based on changes in the degree of nanoscale structural alterations (L d) in nuclei. For this, transmission electron microscopy (TEM) imaging of the nuclei of colonic cells is performed for the following four mouse models: control mice; chronic alcoholic mice treated with ethanol (i.e., EtOH mice); mice treated with colonic carcinogen azoxymethane (AOM) and dextran sulfate sodium (DSS) that induced colitis (i.e., AOM + DSS mice); and chronic alcoholic or EtOH treated mice, together with AOM and DSS treatment (i.e., AOM + DSS + EtOH mice). The disordered optical lattices are constructed from their respective TEM images of thin colonic cell nuclei and the L d values are calculated using the inverse participation ratio (IPR) technique from the spatially localized eigenfunctions of these lattices. Results show no significant difference in the average L d value of the colon cell nuclei of alcohol treated mice relative to its control [i.e., L d(C) ∼ L d(EtOH)]; however, an increase in the L d value of alcohol treated precancerous cells [i.e., L d(AOM + DSS + EtOH) > L d(AOM + DSS)], indicating that alcohol accelerates the early carcinogenic process.

Optical study of stress hormone-induced nanoscale structural alteration in brain using partial wave spectroscopic microscopy.

Chronic stress affects nano to microscale structures of the brain cells/tissues due to suppression of neural growths and reconnections, hence the neuronal activities. This results in depression, memory loss and even death of the brain cells. Our recently developed novel optical technique, partial wave spectroscopic microscopy has nanoscale sensitivity, and hence, can detect nanoscale changes in brain tissues due to stress. In this study, we applied this technique to quantify the stress related structural changes in the corticosterone-treated mouse model of stress. Our results show that brains from corticosterone-treated mice showed higher nanoscale structural disorder in the hippocampal region as compared to the brain from normal (vehicle) mice. The increase in structural alteration correlates with the duration of the stress. We further quantified the relative changes and the spatial localization of these changes in this mouse model and found out that the maximum changes occurred nearly symmetrically in both regions of the hippocampus. The mRNA for stress-related genes, brain-derived neurotrophic factor and tyrosine kinase-coupled receptor were also significantly reduced in the hippocampus of corticosterone-treated mice compared to that in control mice. These results indicate that chronic corticosterone treatment induces nanoscale structural alterations in mouse brain that corresponds to changes in stress-related gene expression.

Optical study of chemotherapy efficiency in cancer treatment via intracellular structural disorder analysis using partial wave spectroscopy.

As cancer progresses, macromolecules, such as DNA, RNA or lipids, inside cells undergo spatial structural rearrangements and alterations. Mesoscopic light transport-based optical partial wave spectroscopy (PWS) was recently introduced to quantify changes in the nanoscale structural disorder in biological cells. The PWS measurement is performed using a parameter termed as "disorder strength" (L d ), which represents the degree of nanoscale structural disorder inside the cells. It was shown that cancerous cells have higher disorder strength than normal cells. In this work, we first used the PWS to analyze the hierarchy of different types of prostate cancer cells, namely, C4-2, DU-145 and PC-3, by quantifying their average disorder strengths. Results expectedly showed that L d values increases in accordance with the increasing aggressiveness/tumorigenicity levels of these cells. Using the L d parameter, we then analyzed the chemoresistance properties of these prostate cancer cells to docetaxel drug compared to their chemosensitivity. Results show that chemoresistant cancer cells have increased L d values, that is, higher disorder strength, relative to chemosensitive cancer cells. Thus, use of the L d metric can be effective in determining the efficacy of particular chemotherapy.

Clinical significance of MUC13 in pancreatic ductal adenocarcinoma.

BACKGROUND: Poor prognosis of pancreatic cancer (PanCa) is associated with lack of an effective early diagnostic biomarker. This study elucidates significance of MUC13, as a diagnostic/prognostic marker of PanCa. METHODS: MUC13 was assessed in tissues using our in-house generated anti-MUC13 mouse monoclonal antibody and analyzed for clinical correlation by immunohistochemistry, immunoblotting, RT-PCR, computational and submicron scale mass-density fluctuation analyses, ROC and Kaplan Meir curve analyses. RESULTS: MUC13 expression was detected in 100% pancreatic intraepithelial neoplasia (PanIN) lesions (Mean composite score: MCS = 5.8; AUC >0.8, P < 0.0001), 94.6% of pancreatic ductal adenocarcinoma (PDAC) samples (MCS = 9.7, P < 0.0001) as compared to low expression in tumor adjacent tissues (MCS = 4, P < 0.001) along with faint or no expression in normal pancreatic tissues (MCS = 0.8; AUC >0.8; P < 0.0001). Nuclear MUC13 expression positively correlated with nodal metastasis (P < 0.05), invasion of cancer to peripheral tissues (P < 0.5) and poor patient survival (P < 0.05; prognostic AUC = 0.9). Submicron scale mass density and artificial intelligence based algorithm analyses also elucidated association of MUC13 with greater morphological disorder (P < 0.001) and nuclear MUC13 as strong predictor for cancer aggressiveness and poor patient survival. CONCLUSION: This study provides significant information regarding MUC13 expression/subcellular localization in PanCa samples and supporting the use anti-MUC13 MAb for the development of PanCa diagnostic/prognostic test.

Quantification of photonic localization properties of targeted nuclear mass density variations: Application in cancer-stage detection.

Light localization is a phenomenon which arises due to the interference effects of light waves inside a disordered optical medium. Quantification of degree light localization in optical media is widely used for characterizing degree of structural disorder in that media. Recently, this light localization approach was extended to analyze structural changes in biological cell like heterogeneous optical media, with potential application in cancer diagnostics. Confocal fluorescence microscopy was used to construct "optical lattices," which represents 2-dimensional refractive index map corresponding to the spatial mass density distribution of a selected molecule inside the cell. The structural disorder properties of the selected molecules were evaluated numerically using light localization strength in these optical lattices, in a single parameter called "disorder strength." The method showed a promising potential in differentiating cancerous and non-cancerous cells. In this paper, we show that by quantifying submicron scale disorder strength in the nuclear DNA mass density distribution, a wide range of control and cancerous breast and prostate cells at different hierarchy levels of tumorigenicity were correctly distinguished. We also discuss how this photonic technique can be used in examining tumorigenicity level in unknown prostate cancer cells, and potential to generalize the method to other cancer cells.

Light localization properties of weakly disordered optical media using confocal microscopy: application to cancer detection.

We have developed a novel technique to quantify submicron scale mass density fluctuations in weakly disordered heterogeneous optical media using confocal fluorescence microscopy. Our method is based on the numerical evaluation of the light localization properties of an 'optical lattice' constructed from the pixel intensity distributions of images obtained with confocal fluorescence microscopy. Here we demonstrate that the technique reveals differences in the mass density fluctuations of the fluorescently labeled molecules between normal and cancer cells, and that it has the potential to quantify the degree of malignancy of cancer cells. Potential applications of the technique to other disease situations or characterizing disordered samples are also discussed.

Quantitative analysis of nanoscale intranuclear structural alterations in hippocampal cells in chronic alcoholism via transmission electron microscopy imaging.

Chronic alcoholism is known to alter the morphology of the hippocampus, an important region of cognitive function in the brain. Therefore, to understand the effect of chronic alcoholism on hippocampal neural cells, we employed a mouse model of chronic alcoholism and quantified intranuclear nanoscale structural alterations in these cells. Transmission electron microscopy (TEM) images of hippocampal neurons were obtained, and the degree of structural alteration in terms of mass density fluctuation was determined using the light-localization properties of optical media generated from TEM imaging. The results, which were obtained at length scales ranging from ~30 to 200 nm, show that 10-12 week-old mice fed a Lieber-DeCarli liquid (alcoholic) diet had a higher degree of structural alteration than control mice fed a normal diet without alcohol. The degree of structural alteration became significantly distinguishable at a sample length of ~100 nm, which is the typical length scale of the building blocks of cells, such as DNA, RNA, proteins and lipids. Interestingly, different degrees of structural alteration at such length scales suggest possible structural rearrangement of chromatin inside the nuclei in chronic alcoholism.

Measurements of the weak UV absorptions of isoprene and acetone at 261-275 nm using cavity ringdown spectroscopy for evaluation of a potential portable ringdown breath analyzer.

The weak absorption spectra of isoprene and acetone have been measured in the wavelength range of 261-275 nm using cavity ringdown spectroscopy. The measured absorption cross-sections of isoprene in the wavelength region of 261-266 nm range from 3.65 × 10⁻²¹ cm².molecule⁻¹ at 261 nm to 1.42 × 10⁻²¹ cm².molecule⁻¹ at 266 nm; these numbers are in good agreement with the values reported in the literature. In the longer wavelength range of 270-275 nm, however, where attractive applications using a single wavelength compact diode laser operating at 274 nm is located, isoprene has been reported in the literature to have no absorption (too weak to be detected). Small absorption cross-sections of isoprene in this longer wavelength region are measured using cavity ringdown spectroscopy for the first time in this work, i.e., 6.20 × 10⁻²³ cm².molecule⁻¹ at 275 nm. With the same experimental system, wavelength-dependent absorption cross-sections of acetone have also been measured. Theoretical detection limits of isoprene and comparisons of absorbance of isoprene, acetone, and healthy breath gas in this wavelength region are also discussed.

A portable optical emission spectroscopy-cavity ringdown spectroscopy dual-mode plasma spectrometer for measurements of environmentally important trace heavy metals: initial test with elemental Hg.

A portable optical emission spectroscopy-cavity ringdown spectroscopy (OES-CRDS) dual-mode plasma spectrometer is described. A compact, low-power, atmospheric argon microwave plasma torch (MPT) is utilized as the emission source when the spectrometer is operating in the OES mode. The same MPT serves as the atomization source for ringdown measurements in the CRDS mode. Initial demonstration of the instrument is carried out by observing OES of multiple elements including mercury (Hg) in the OES mode and by measuring absolute concentrations of Hg in the metastable state 6s6p (3)P(0) in the CRDS mode, in which a palm-size diode laser operating at a single wavelength 405 nm is incorporated in the spectrometer as the light source. In the OES mode, the detection limit for Hg is determined to be 44 parts per 10(9) (ppb). A strong radiation trapping effect on emission measurements of Hg at 254 nm is observed when the Hg solution concentration is higher than 50 parts per 10(6) (ppm). The radiation trapping effect suggests that two different transition lines of Hg at 253.65 nm and 365.01 nm be selected for emission measurements in lower (<50 ppm) and higher concentration ranges (>50 ppm), respectively. In the CRDS mode, the detection limit of Hg in the metastable state 6s6p (3)P(0) is achieved to be 2.24 parts per 10(12) (ppt) when the plasma is operating at 150 W with sample gas flow rate of 480 mL min(-1); the detection limit corresponds to 50 ppm in Hg sample solution. Advantage of this novel spectrometer has two-fold, it has a large measurement dynamic range, from a few ppt to hundreds ppm and the CRDS mode can serve as calibration for the OES mode as well as high sensitivity measurements. Measurements of seven other elements, As, Cd, Mn, Ni, P, Pb, and Sr, using the OES mode are also carried out with detection limits of 1100, 33, 30, 144, 576, 94, and 2 ppb, respectively. Matrix effect in the presence of other elements on Hg measurements has been found to increase the detection limit to 131 ppb. These elements in lower concentrations can also be measured in the CRDS mode when a compact laser source is available to be integrated into the spectrometer in the future. This exploratory study demonstrates a new instrument platform using an OES-CRDS dual-mode technique for potential field applications.

Fiber loop ringdown sensor for potential real-time monitoring of cracks in concrete structures: an exploratory study.

A fiber loop ringdown (FLRD) concrete crack sensor is described for the first time. A bare single mode fiber (SMF), without using other optical components or chemical coatings, etc., was utilized to construct the sensor head, which was driven by a FLRD sensor system. The performance of the sensor was evaluated on concrete bars with dimensions 20 cm × 5 cm × 5 cm, made in our laboratory. Cracks were produced manually and the responses of the sensor were recorded in terms of ringdown times. The sensor demonstrated detection of the surface crack width (SCW) of 0.5 mm, which leads to a theoretical SCW detection limit of 31 µm. The sensor's response to a cracking event is near real-time (1.5 s). A large dynamic range of crack detection ranging from a few microns (µm) to a few millimeters is expected from this sensor. With the distinct features, such as simplicity, temperature independence, near real-time response, high SCW detection sensitivity, and a large dynamic range, this FLRD crack sensor appears promising for detections of cracks when embedded in concrete.

Breath analysis using laser spectroscopic techniques: breath biomarkers, spectral fingerprints, and detection limits.

Breath analysis, a promising new field of medicine and medical instrumentation, potentially offers noninvasive, real-time, and point-of-care (POC) disease diagnostics and metabolic status monitoring. Numerous breath biomarkers have been detected and quantified so far by using the GC-MS technique. Recent advances in laser spectroscopic techniques and laser sources have driven breath analysis to new heights, moving from laboratory research to commercial reality. Laser spectroscopic detection techniques not only have high-sensitivity and high-selectivity, as equivalently offered by the MS-based techniques, but also have the advantageous features of near real-time response, low instrument costs, and POC function. Of the approximately 35 established breath biomarkers, such as acetone, ammonia, carbon dioxide, ethane, methane, and nitric oxide, 14 species in exhaled human breath have been analyzed by high-sensitivity laser spectroscopic techniques, namely, tunable diode laser absorption spectroscopy (TDLAS), cavity ringdown spectroscopy (CRDS), integrated cavity output spectroscopy (ICOS), cavity enhanced absorption spectroscopy (CEAS), cavity leak-out spectroscopy (CALOS), photoacoustic spectroscopy (PAS), quartz-enhanced photoacoustic spectroscopy (QEPAS), and optical frequency comb cavity-enhanced absorption spectroscopy (OFC-CEAS). Spectral fingerprints of the measured biomarkers span from the UV to the mid-IR spectral regions and the detection limits achieved by the laser techniques range from parts per million to parts per billion levels. Sensors using the laser spectroscopic techniques for a few breath biomarkers, e.g., carbon dioxide, nitric oxide, etc. are commercially available. This review presents an update on the latest developments in laser-based breath analysis.