Elimination of Colon Cancer Stem-Like Cells by the Combination of Curcumin and FOLFOX

5-Fluorouracil (5-FU) or 5-FU plus oxaliplatin (FOLFOX) remains the backbone of colorectal cancer chemotherapeutics but with limited success. This could partly be due to the enrichment of cancer stem cells (CSCs) that are resistant to conventional chemotherapy. Therefore, validation of a nontoxic agent that can either cause reversal of chemoresistance or promote the killing of CSCs would be highly desirable. The current study examines whether curcumin, the major active ingredient of turmeric, either alone or together with FOLFOX, would be an effective strategy to eliminate colon CSCs. Exposure of colon cancer HCT-116 or HT-29 cells to FOLFOX that inhibited their growth led to the enrichment of CSC phenotype as evidenced by increased proportion of CD133-, CD44-, and/or CD166-positive cells and epidermal growth factor receptor (EGFR) levels. Treatment of FOLFOX-surviving colon cancer cells with either curcumin alone or together with FOLFOX resulted in a marked reduction in CSCs, as evidenced by the decreased expression of CD44 and CD166 as well as EGFR and by their ability to form anchorage-dependent colonies. They also caused disintegration of colonospheres. Increased expression of EGFR in FOLFOX-surviving cells could be attributed to hypomethylation of the EGFR promoter, whereas an opposite phenomenon was observed when the FOLFOX-surviving cells were treated with curcumin and/or FOLFOX. These changes were accompanied by parallel alterations in the levels of DNA methyltransferase 1. In conclusion, our data suggest that curcumin by itself or together with the conventional chemotherapeutic could be an effective treatment strategy for preventing the emergence of chemoresistant colon cancer cells by reducing/eliminating CSCs.     

Altered expression of P2X3 in vagal and spinal afferents following esophagitis in rats

Purinergic P2X₃ receptors are predominantly expressed in small diameter primary afferent neurons and activation of these receptors by adenosine triphosphate is reported to play an important role in nociceptive signaling. The objective of this study was to investigate the expression of P2X₃ receptors in spinal and vagal sensory neurons and esophageal tissues following esophagitis in rats. Two groups of rats were used including 7 days fundus-ligated (7D-ligated) esophagitis and sham-operated controls. Esophagitis was produced by ligating the fundus and partial obstruction of pylorus that initiated reflux of gastric contents. The sham-operated rats underwent midline incision without surgical manipulation of the stomach. Expressions of P2X₃ receptors in thoracic dorsal root ganglia (DRGs), nodose ganglia (NGs), and esophageal tissues were evaluated by RT–PCR, western blot and immunohistochemistry. Esophageal neurons were identified by retrograde transport of Fast Blue from the esophagus. There were no significant differences in P2X₃ mRNA expressions in DRGs (T1–T3) and NGs between 7D-ligated and sham-operated rats. However, there was an upregulation of P2X₃ mRNA in DRGs (T6–T12) and in the esophageal muscle. At protein level, P2X₃ exhibited significant upregulation both in DRGs and in NGs of rats having chronic esophagitis. Immunohistochemical analysis exhibited a significant increase in P2X₃ and TRPV1 co-expression in DRGs and NGs in 7D-ligated rats compared to sham-operated rats. The present findings suggest that chronic esophagitis results in upregulation of P2X₃ and its co-localization with TRPV1 receptor in vagal and spinal afferents. Changes in P2X₃ expression in vagal and spinal sensory neurons may contribute to esophageal hypersensitivity following acid reflux-induced esophagitis.     

POTENTIAL OF BRASSICA JUNCEA IN ORDER TO TREAT TEXTILE—EFFLUENT—CONTAMINATED SITES

Three plant species (Brassica juncea, Sorghum vulgare, and Phaseolus mungo) of different agronomic consequence were evaluated for the decolorization of the dyes from textile effluent. B. juncea, S. vulgare, and P. mungo showed textile effluent decolorization up to 79, 57, and 53%, respectively. A significant decrease in shoot and root height, but no significant injury, was observed in the case of P. mungo and S. vulgare. B. juncea (Indian mustard), the most tolerant and more effective metals accumulator than other tested agricultural plant species, showed enhanced growth with respect to the height of the shoot and root, 129 and 178%, respectively, when grown using original textile effluent. Textile effluent induced intracellular nicotinamide adenine dinucleotide reduced (NADH)–dichlorophenol indophenol reductase significantly in the case of S. vulgare and B. juncea with 209 and 194%, respectively. The extracellular riboflavin reductase activity was induced by 223% in the case of P. mungo as compared to control plants. Significant induction of intracellular laccase (266%) was observed in the case of B. juncea, indicating their crucial role for a potential metabolism and further degradation of the textile effluent. The metabolites were identified as napthalenesufamide (m/z 372) and 2-amino-4, 6-dichlorotriazine (m/z 167), when B. juncea was used to degrade a model dye, Reactive red 2.     

An inverse metabolic engineering approach for the design of an improved host platform for over-expression of recombinant proteins in Escherichia coli

ABSTRACT: BACKGROUND: A useful goal for metabolic engineering would be to generate non-growing but metabolically active quiescent cells which would divert the metabolic fluxes towards product formation rather than growth. However, for products like recombinant proteins which are intricately coupled to the growth process it is difficult to identify the genes that need to be knocked-out/knocked-in to get this desired phenotype. To circumvent this we adopted an inverse metabolic engineering strategy which would screen for the desired phenotype and thus help in the identification of genetic targets which need to be modified to get overproducers of recombinant protein. Such quiescent cells would obviate the need for high cell density cultures and increase the operational life span of bioprocesses. RESULTS: A novel strategy for generating a library consisting of randomly down regulated metabolic pathways in E. coli was designed by cloning small genomic DNA fragments in expression vectors. Some of these DNA fragments got inserted in the reverse orientation thereby generating anti-sense RNA upon induction. These anti-sense fragments would hybridize to the sense mRNA of specific genes leading to gene 'silencing'. This library was first screened for slow growth phenotype and subsequently for enhanced over-expression ability. Using Green Fluorescent Protein (GFP) as a reporter protein on second plasmid, we were able to identify metabolic blocks which led to significant increase in expression levels. Thus down-regulating the ribB gene (3, 4 dihydroxy-2-butanone-4-phosphate synthase) led to a 7 fold increase in specific product yields while down regulating the gene kdpD (histidine kinase) led to 3.2 fold increase in specific yields. CONCLUSION: We have designed a high throughput screening approach which is a useful tool in the repertoire of reverse metabolic engineering strategies for the generation of improved hosts for recombinant protein expression.     

Unique corneal tomography features of allergic eye disease identified by OCT imaging and artificial intelligence

The purpose of this study was to assess unique corneal tomographic parameters of allergic eye disease (AED) using optical coherence tomography (OCT) and artificial intelligence (AI). A total of 57 eyes diagnosed with AED were included. The curvature and aberrations of the air‐epithelium (A‐E) and epithelium‐Bowman's layer (E‐B) interfaces were calculated. Random forest AI models were built combing this data with the parameters of healthy, forme fruste keratoconus (FFKC) and KC eyes. The AI models were cross‐validated with 3‐fold random sampling. Each model was limited to 10 trees. The AI model incorporating both A‐E and E‐B parameters provided the best classification of AED eyes (area under the curve = 0.958, sensitivity = 80.7%, specificity = 98.5%, precision = 88.2%). Further, the E‐B interface parameters provided the highest information gain in the AI model. A few AED eyes (n = 9) had tomography parameters similar to FFKC and KC eyes and may be at risk of progression to KC.