Recent Updates on the Phytochemistry and Pharmacological Properties of Phlomis viscosa Poiret.

Crude ethanolic extracts from Phlomis viscosa Poiret leaves from the Judea region (Israel) are renowned for their remarkable geroprotective properties: anti-inflammatory, anti-diabetic, and anti-cancer. A phytochemical investigation carried out in this study revealed that the tested plant might belong to a particular distinct chemotype because its phytochemicals are different from compounds that were mentioned in the literature. Among the compounds identified by us was diosmin, the synthetic derivatives of which were further obtained and investigated. In particular, activities of the isolated compounds and synthesized diosmin derivatives were assessed. Our results revealed that the following compounds significantly lessened secretion of some pro-inflammatory cytokines: diosmin, himachala-2-diene, and 5,7-dihydroxy-2-(3-hydroxy-4-methoxyphenyl) chromen-4-one. In addition, diosmin, synthesized diosmin derivatives, and some identified terpenes were found to have anti-diabetic activities. A significant anti-cancer effect of the whole extract on U-87 (human glioblastoma carcinoma cells line) and MCF7 (human breast carcinoma cell line) was also demonstrated, and it was better than that of DOX (doxorubicin). Collectively, the results obtained in the in vitro models suggest a wide spectrum of beneficial bioactivities of the extract and its active compounds.

A molecular signature of lung cancer: potential biomarkers for adenocarcinoma and squamous cell carcinoma.

Adenocarcinoma (AC) and squamous cell carcinoma (SCC), sub-types of non-small cell lung cancer (NSCLC), both present unique features at the genome, epigenome, transcriptome and proteome levels, as well as shared clinical and histopathological characteristics, but differ in terms of treatment. To ensure proper treatment, one must be able to distinguish between these sub-types. Here, we identify novel biomarker proteins in NSCLC, allowing for distinguishing between the AC and SCC sub-types. Proteomics analysis distinguished between healthy and tumor tissues, with the expression level of 1,494 proteins being altered, 378 of which showed a ≥|100|-fold change. Enrichment of proteins related to protein synthesis and degradation, and of proteins associated with mitochondria, metabolism, and apoptosis, was found. Network analysis defined groups of proteins, such as those associated with cell metabolic processes or with fatty acid/lipid metabolism and transport. Several biomarkers that enable for distinguishing between AC and SCC were identified here for the first time, and together with previous reports confirmed here, led us to propose a list of proteins differentially expressed in SCC and AC. Some of these biomarkers are clear signatures for AC or SCC and four of them are secreted proteins. The presence of the mitochondrial protein SMAC/Diablo in the nucleus was found to be a signature for SCC. Precise diagnosis of AC and SCC is essential for selecting appropriate treatment and thus, increasing patient life expectancy. Finally, the search for drugs that target some of these biomarkers may lead to new treatments for lung cancer.

Optical remote sensor for peanut kernel abortion classification.

In this paper, we propose a simple, inexpensive optical device for remote measurement of various agricultural parameters. The sensor is based on temporal tracking of backreflected secondary speckle patterns generated when illuminating a plant with a laser and while applying periodic acoustic-based pressure stimulation. By analyzing different parameters using a support-vector-machine-based algorithm, peanut kernel abortion can be detected remotely. This paper presents experimental tests which are the first step toward an implementation of a noncontact device for the detection of agricultural parameters such as kernel abortion.

Optical configuration of pigmented lesion detection by frequency analysis of skin speckle patterns.

In this paper we present a novel approach of realizing a safe, simple, and inexpensive sensor applicable to pigmented lesions detection. The approach is based on temporal tracking of back-reflected secondary speckle patterns generated while illuminating the affected area with a laser and applying periodic pressure to the surface via a controlled vibration source. When applied to pigmented lesions, the technique is superior to visual examination in avoiding many false positives and resultant unnecessary biopsies. Applying a series of different vibration frequencies at the examined tissue and analyzing the 2-D time varying speckle patterns in response to the applied periodic pressure creates a unique signature for each and different pigmented lesion. Analyzing these signatures is the first step toward detection of malignant melanoma. In this paper we present preliminary experiments that show the validity of the developed sensor for the classification of pigmented lesions.

Noncontact optical sensor for bone fracture diagnostics.

We present the first steps of a device suitable for detection of broken and cracked bones. The approach is based on temporal tracking of back reflected secondary speckle patterns generated when illuminating the limb with a laser and while applying periodic pressure stimulation via a loud speaker. Preliminary experiments are included showing the validity of the proposed device for detection of damaged bones.

Optical-mechanical signatures of cancer cells based on fluctuation profiles measured by interferometry.

We propose to establish a cancer biomarker based on the unique optical-mechanical signatures of cancer cells measured in a noncontact, label-free manner by optical interferometry. Using wide-field interferometric phase microscopy (IPM), implemented by a portable, off-axis, common-path and low-coherence interferometric module, we quantitatively measured the time-dependent, nanometer-scale optical thickness fluctuation maps of live cells in vitro. We found that cancer cells fluctuate significantly more than healthy cells, and that metastatic cancer cells fluctuate significantly more than primary cancer cells. Atomic force microscopy (AFM) measurements validated the results. Our study shows the potential of IPM as a simple clinical tool for aiding in diagnosis and monitoring of cancer.

A polymer microstructure array for the formation, culturing, and high throughput drug screening of breast cancer spheroids.

Multicellular spheroid models have been recognized as superior to monolayer cell cultures in antitumor drug screening, but their commercial adaptation in the pharmaceutical industry has been delayed, primarily due to technological limitations. The current study presents a new spheroid culture platform that addresses these technical restrictions. The new culturing device is based on a multiwell plate equipped with a glass bottom patterned with an array of UV adhesive microchambers. Each microchamber is designed to accommodate a single spheroid. The system facilitates the simultaneous creation and culturing of a large number of spheroids, as well as screening their response to antitumor drugs. The volume of the spheroids is easily controlled by seeding density. The location of each spheroid is preserved in the same microchamber throughout its growth, treatment with soluble agents, and imaging. The growth ratio parameter, a non-intrusive size analysis of the same spheroid before and after exposure to drugs, was found to be a sensitive indicator for the reaction of MCF7 breast cancer spheroids to cytotoxic drugs. This feature helps reveal the heterogeneity within the spheroid population during the formation process and their drug response, and provides an opportunity to detect specific, highly active or drug-resistant spheroid sub-groups. The advantages of this spheroid-based system make it an efficient drug-screening tool that may be valuable to related fields of research and clinical applications.