RESUMO
We aim to establish a noninvasive diagnostic platform to capture early phenotypic transformation for metastasis using 18F-FDG PET and 1H-NMR-based serum metabolomics. Mice with implantation of NCI-H460 cells grew only primary lung tumors in the localized group and had both primary and metastatic lung tumors in the metastatic group. The serum metabolites were analyzed using 1H-NMR at the time of PET/CT scan. The glycolysis status and cell proliferation were validated by Western blotting and staining. A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of SUVmean and serum metabolites in metastasis. In the metastatic mice, the SUVmean of metastatic tumors was significantly higher than that of primary lung tumors in PET images, which was supported by elevated glycolytic protein expression of HK2 and PKM2. The serum pyruvate level in the metastatic group was significantly lower than that in the localized group, corresponding to increased pyruvate-catalyzed enzyme and proliferation rates in metastatic tumors. In diagnosing localized or metastatic tumors, the areas under the ROC curves of SUVmean and pyruvate were 0.92 and 0.91, respectively, with p < 0.05. In conclusion, the combination of 18F-FDG PET and 1H-NMR-based serum metabolomics demonstrated the feasibility of a glycolytic platform for diagnosing metastatic lung cancers.
RESUMO
Phycoerythrin (PE) is a compound with strong potential for both basic research and industrial applications, but short supply and high prices have so far hindered its development. One common problem is a shortage of biomass for extraction. The aim of the present study was to determine a cultivation strategy (optimizing temperature, irradiance, photoperiod, and light quality) to produce greater biomass and higher PE concentrations in the alga Colaconema sp. We found that an optimized culture process could increase algae growth 7-9 fold while allowing extraction of 9-10 mg g-1 total phycobiliproteins, containing 60%-65% PE. Low energy costs make this approach economically feasible and competitive when compared with existing methods. Our results suggest an improved strategy for the large-scale production of PE and offer valuable applications in the algae industry.
Assuntos
Ficoeritrina , Rodófitas , Biomassa , Luz , FicobiliproteínasRESUMO
Temperature, light intensity (LI), adsorbent source and concentrations are key external factors affecting algal metabolism and thus metal-accumulation mechanisms. In this study, the alga Sarcodia suiae was exposed individually to a range of temperature (15, 20, and 25 °C), and LI (30, 55, and 80 µmol photons m-2 s-1) at initial arsenate [As(V)] concentration (iconc: 0, 62.5, 125, 250, and 500 µg L-1) conditions, to investigate the variations of total arsenic (TAs) and inorganic arsenic (iAs) accumulation mechanisms in the algal body. Temperature significantly affected TAs and arsenite [As(III)] production and maximum absorption were obtained at 15 °C, which was significantly stimulated by increasing iconc. However, the temperature did not affect As(V) production. LI had no significant effect on TAs or iAs production, although maximum absorption was estimated in 80 µmol photons m-2 s-1. The iAs component of TAs was much greater in the temperature experiment particularly under 250-500 µg L-1iconc than in the LI experiment, is witnessed. Overall, temperature and iconc strongly affected As accumulation. The predominant iAs produced was As(III), regardless of temperature or LI, suggesting that the alga favored As(III) biosorption. Also, visible effects on the morphology of this alga were adverse with increased concentration and environmental factors did affect the difference somewhat. Our results contribute to improving our understanding of the effects of the tested factors on As cycling, which is necessary for maximizing biosorption of algae if utilized for bioremediation studies as well as in the wastewater treatment implementation approach in the environment.
