136 research outputs found

    Allellic variants in regulatory regions of cyclooxygenase-2: association with advanced colorectal adenoma

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    Cyclooxygenase 2 (Cox-2) is upregulated in colorectal adenomas and carcinomas. Polymorphisms in the Cox-2 gene may influence its function and/or its expression and may modify the protective effect of nonsteroidal anti-inflammatory drugs (NSAIDs), thereby impacting individuals' risk of developing colorectal cancer and response to prevention/intervention strategies. In a nested case–control study, four polymorphisms in the Cox-2 gene (two in the promoter, −663 insertion/deletion, GT/(GT) and −798 A/G; one in intron 5-5229, T/G; one in 3′untranslated region (UTR)-8494, T/C) were genotyped in 726 cases of colorectal adenomas and 729 age- and gender-matched controls in the prostate, lung, colorectal, and ovarian (PLCO) cancer screening trial. There was no significant association between the Cox-2 polymorphisms and adenoma development in the overall population. However, in males, the relatively rare heterozygous genotype GT/(GT) at −663 in the promoter and the variant homozygous genotype G/G at intron 5-5229 appeared to have inverse associations (odds ratio (OR)=0.59, confidence interval (CI): 0.34–1.02 and OR=0.48, CI: 0.24–0.99, respectively), whereas the heterozygous genotype T/C at 3′UTR-8494 had a positive association (OR=1.31, CI: 1.01–1.71) with adenoma development. Furthermore, the haplotype carrying the risk-conferring 3′UTR-8494 variant was associated with a 35% increase in the odds for adenoma incidence in males (OR=1.35, CI: 1.07–1.70), but the one with a risk allele at 3′UTR-8494 and a protective allele at intron 5-5229 had no effect on adenoma development (OR=0.85, CI: 0.66–1.09). Gender-related differences in adenoma risk were also noted with tobacco usage and protective effects of NSAIDs. Our analysis underscores the significance of the overall allelic architecture of Cox-2 as an important determinant for risk assessment

    Genetic polymorphisms in the cyclooxygenase-2 gene, use of nonsteroidal anti-inflammatory drugs, and breast cancer risk

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    INTRODUCTION: The association between use of nonsteroidal anti-inflammatory drugs (NSAIDs) and breast cancer risk remains unclear. Inconsistencies in previously reported findings may be partly due to differences in expression of cyclooxygenase (COX)-2. We hypothesized that genetic polymorphisms (COX-2 .926, COX-2 .5209, and COX-2 .8473) may reduce overall breast cancer risk or risk for subtypes of breast cancer by modulating the inflammatory response and may interact with aspirin or any NSAID use. METHODS: We conducted a population-based, case-control study in which we genotyped 1,067 breast cancer cases and 1,110 control individuals included in the Long Island Breast Cancer Study Project. RESULTS: No major effects of the three COX-2 variant alleles on breast cancer risk were found. A total of eight distinct haplotypes and 18 diplotypes were observed in the population. Overall, no significant associations between COX-2 haplotypes/diplotypes and breast cancer risk were observed. Among women who used aspirin or any NSAID there was little evidence for an interaction with the at-risk COX-2 genotypes, with one exception. Among women with hormone receptor positive breast cancer, the reduced risk for any NSAID use was only evident among those who had at least one variant C allele of COX-2 .8473 (odds ratio = 0.7, 95% confidence interval = 0.5 to 1.0; P for the interaction = 0.02). There was no corresponding interaction for aspirin use, possibly because of limited power. CONCLUSION: These data provide modest evidence that the C allele of COX-2 .8473 may interact with NSAIDs to reduce risk for hormone receptor positive breast cancer

    Characterization, high-resolution mapping and differential expression of three homologous PAL genes in Coffea canephora Pierre (Rubiaceae)

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    Phenylalanine ammonia lyase (PAL) is the first entry enzyme of the phenylpropanoid pathway producing phenolics, widespread constituents of plant foods and beverages, including chlorogenic acids, polyphenols found at remarkably high levels in the coffee bean and long recognized as powerful antioxidants. To date, whereas PAL is generally encoded by a small gene family, only one gene has been characterized in Coffea canephora (CcPAL1), an economically important species of cultivated coffee. In this study, a molecular- and bioinformatic-based search for CcPAL1 paralogues resulted successfully in identifying two additional genes, CcPAL2 and CcPAL3, presenting similar genomic structures and encoding proteins with close sequences. Genetic mapping helped position each gene in three different coffee linkage groups, CcPAL2 in particular, located in a coffee genome linkage group (F) which is syntenic to a region of Tomato Chromosome 9 containing a PAL gene. These results, combined with a phylogenetic study, strongly suggest that CcPAL2 may be the ancestral gene of C. canephora. A quantitative gene expression analysis was also conducted in coffee tissues, showing that all genes are transcriptionally active, but they present distinct expression levels and patterns. We discovered that CcPAL2 transcripts appeared predominantly in flower, fruit pericarp and vegetative/lignifying tissues like roots and branches, whereas CcPAL1 and CcPAL3 were highly expressed in immature fruit. This is the first comprehensive study dedicated to PAL gene family characterization in coffee, allowing us to advance functional studies which are indispensable to learning to decipher what role this family plays in channeling the metabolism of coffee phenylpropanoids

    Inhibitory effects of pharmacological doses of melatonin on aromatase activity and expression in rat glioma cells

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    Melatonin exerts oncostatic effects on different kinds of neoplasias, especially on oestrogen-dependent tumours. Recently, it has been described that melatonin, on the basis of its antioxidant properties, inhibits the growth of glioma cells. Glioma cells express oestrogen receptors and have the ability to synthesise oestrogens from androgens. In the present study, we demonstrate that pharmacological concentrations of melatonin decreases the growth of C6 glioma cells and reduces the local biosynthesis of oestrogens, through the inhibition of aromatase, the enzyme that catalyses the conversion of androgens into oestrogens. These results are supported by three types of evidence. Firstly, melatonin counteracts the growth stimulatory effects of testosterone on glioma cells, which is dependent on the local synthesis of oestrogens from testosterone. Secondly, we found that melatonin reduces the aromatase activity of C6 cells, measured by the tritiated water release assay. Finally, by (RT)–PCR, we found that melatonin downregulates aromatase mRNA steady-state levels in these glioma cells. We conclude that melatonin inhibits the local production of oestrogens decreasing aromatase activity and expression. By analogy to the implications of aromatase in other forms of oestrogen-sensitive tumours, it is conceivable that the modulation of the aromatase by pharmacological melatonin may play a role in the growth of glioblastomas

    Linoleic Acid-Induced Ultra-Weak Photon Emission from Chlamydomonas reinhardtii as a Tool for Monitoring of Lipid Peroxidation in the Cell Membranes

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    Reactive oxygen species formed as a response to various abiotic and biotic stresses cause an oxidative damage of cellular component such are lipids, proteins and nucleic acids. Lipid peroxidation is considered as one of the major processes responsible for the oxidative damage of the polyunsaturated fatty acid in the cell membranes. Various methods such as a loss of polyunsaturated fatty acids, amount of the primary and the secondary products are used to monitor the level of lipid peroxidation. To investigate the use of ultra-weak photon emission as a non-invasive tool for monitoring of lipid peroxidation, the involvement of lipid peroxidation in ultra-weak photon emission was studied in the unicellular green alga Chlamydomonas reinhardtii. Lipid peroxidation initiated by addition of exogenous linoleic acid to the cells was monitored by ultra-weak photon emission measured with the employment of highly sensitive charged couple device camera and photomultiplier tube. It was found that the addition of linoleic acid to the cells significantly increased the ultra-weak photon emission that correlates with the accumulation of lipid peroxidation product as measured using thiobarbituric acid assay. Scavenging of hydroxyl radical by mannitol, inhibition of intrinsic lipoxygenase by catechol and removal of molecular oxygen considerably suppressed ultra-weak photon emission measured after the addition of linoleic acid. The photon emission dominated at the red region of the spectrum with emission maximum at 680 nm. These observations reveal that the oxidation of linoleic acid by hydroxyl radical and intrinsic lipoxygenase results in the ultra-weak photon emission. Electronically excited species such as excited triplet carbonyls are the likely candidates for the primary excited species formed during the lipid peroxidation, whereas chlorophylls are the final emitters of photons. We propose here that the ultra-weak photon emission can be used as a non-invasive tool for the detection of lipid peroxidation in the cell membranes

    Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients

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    Canadian Institutes of Health Research, Grant/ Award Number: 81274; Huntsman Cancer Institute Pilot Funds; Leukemia Lymphoma Society, Grant/Award Number: 6067-09; the National Institute of Health/National Cancer Institute, Grant/Award Numbers: P30 CA016672, P30 CA042014, P30 CA13148, P50 CA186781, R01 CA107476, R01 CA134674, R01 CA168762, R01 CA186646, R01 CA235026, R21 CA155951, R25 CA092049, R25 CA47888, U54 CA118948; Utah Population Database, Utah Cancer Registry, Huntsman Cancer Center Support Grant, Utah State Department of Health, University of Utah; VicHealth, Cancer Council Victoria, Australian National Health and Medical Research Council, Grant/Award Numbers: 1074383, 209057, 396414; Victorian Cancer Registry, Australian Institute of Health and Welfare, Australian National Death Index, Australian Cancer Database; Mayo Clinic Cancer Center; University of Pisa and DKFZThe authors thank all site investigators that contributed to the studies within the Multiple Myeloma Working Group (Interlymph Consortium), staff involved at each site and, most importantly, the study participants for their contributions that made our study possible. This work was partially supported by intramural funds of University of Pisa and DKFZ. This work was supported in part by the National Institute of Health/National Cancer Institute (R25 CA092049, P30 CA016672, R01 CA134674, P30 CA042014, R01 CA186646, R21 CA155951, U54 CA118948, P30 CA13148, R25 CA47888, R01 CA235026, R01 CA107476, R01 CA168762, P50 CA186781 and the NCI Intramural Research Program), Leukemia Lymphoma Society (6067-09), Huntsman Cancer Institute Pilot Funds, Utah PopulationDatabase, Utah Cancer Registry, Huntsman Cancer Center Support Grant, Utah StateDepartment of Health, University of Utah, Canadian Institutes of Health Research (Grant number 81274), VicHealth, Cancer Council Victoria, Australian National Health and Medical Research Council (Grants 209057, 396414, 1074383), Victorian Cancer Registry, Australian Institute of Health and Welfare, Australian National Death Index, Australian Cancer Database and the Mayo Clinic Cancer Center.Open Access funding enabled and organized by ProjektDEAL.The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.Gene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype-tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with P < 10(-7) either in EBV-transformed B-lymphocytes or whole blood. We genotyped the resulting 22 SNPs in 1327 MM cases from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and examined their association with overall survival (OS) and progression-free survival (PFS), adjusting for age, sex, country of origin and disease stage. Three polymorphisms in two genes (TBRG4-rs1992292, TBRG4-rs2287535 and ENTPD1-rs2153913) showed associations with OS at P < .05, with the former two also associated with PFS. The associations of two polymorphisms in TBRG4 with OS were replicated in 1277 MM cases from the International Lymphoma Epidemiology (InterLymph) Consortium. A meta-analysis of the data from IMMEnSE and InterLymph (2579 cases) showed that TBRG4-rs1992292 is associated with OS (hazard ratio = 1.14, 95% confidence interval 1.04-1.26, P = .007). In conclusion, we found biologically a plausible association between a SNP in TBRG4 and OS of MM patients.Canadian Institutes of Health Research (CIHR) 81274Huntsman Cancer Institute Pilot FundsLeukemia and Lymphoma Society 6067-09United States Department of Health & Human Services National Institutes of Health (NIH) - USA NIH National Cancer Institute (NCI) P30 CA016672 P30 CA042014 P30 CA13148 P50 CA186781 R01 CA107476 R01 CA134674 R01 CA168762 R01 CA186646 R01 CA235026 R21 CA155951 R25 CA092049 R25 CA47888 U54 CA118948Utah Population Database, Utah Cancer Registry, Huntsman Cancer Center Support Grant, Utah State Department of Health, University of UtahVicHealth, Cancer Council Victoria, Australian National Health and Medical Research Council 1074383 209057 396414Victorian Cancer Registry, Australian Institute of Health and Welfare, Australian National Death Index, Australian Cancer DatabaseMayo Clinic Cancer CenterUniversity of PisaHelmholtz Associatio

    Suppression and Regression of Choroidal Neovascularization in Mice by a Novel CCR2 Antagonist, INCB3344

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    PURPOSE: To investigate the effect of an intravitreally administered CCR2 antagonist, INCB3344, on a mouse model of choroidal neovascularization (CNV). METHODS: CNV was induced by laser photocoagulation on Day 0 in wild type mice. INCB3344 or vehicle was administered intravitreally immediately after laser application. On Day 14, CNV areas were measured on retinal pigment epithelium (RPE)-choroid flat mounts and histopathologic examination was performed on 7 µm-thick sections. Macrophage infiltration was evaluated by immunohistochemistry on RPE-choroid flat mounts and quantified by flow cytometry on Day 3. Expression of vascular endothelial growth factor (VEGF) protein in RPE-choroid tissue was examined by immunohistochemistry and ELISA, VEGF mRNA in sorted macrophages in RPE-choroid tissue was examine by real-time PCR and expression of phosphorylated extracellular signal-regulated kinase (p-ERK 1/2) in RPE-choroid tissue was measured by Western blot analysis on Day 3. We also evaluated the efficacy of intravitreal INCB3344 to spontaneous CNV detected in Cu, Zn-superoxide dismutase (SOD1) deficient mice. Changes in CNV size were assessed between pre- and 1week post-INCB3344 or vehicle administration in fundus photography and fluorescence angiography (FA). RESULTS: The mean CNV area in INCB3344-treated mice decreased by 42.4% compared with the vehicle-treated control mice (p<0.001). INCB3344 treatment significantly inhibited macrophage infiltration into the laser-irradiated area (p<0.001), and suppressed the expression of VEGF protein (p = 0.012), VEGF mRNA in infiltrating macrophages (p<0.001) and the phosphorylation of ERK1/2 (p<0.001). The area of spontaneous CNV in Sod1⁻/⁻ mice regressed by 70.35% in INCB3344-treated animals while no change was detected in vehicle-treated control mice (p<0.001). CONCLUSIONS: INCB3344 both inhibits newly forming CNV and regresses established CNV. Controlling inflammation by suppressing macrophage infiltration and angiogenic ability via the CCR-2/MCP-1 signal may be a useful therapeutic strategy for treating CNV associated with age-related macular degeneration

    The insertion/deletion (I/D) polymorphism in the Angiotensin-converting enzyme gene and cancer risk: a meta-analysis

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    <p>Abstract</p> <p>Background</p> <p>The insertion/deletion (I/D) polymorphism in the <it>Angiotensin-converting enzyme </it>(<it>ACE</it>) gene has been implicated in susceptibility to cancer, but a large number of studies have reported inconclusive results. The aim of this study is to assess the association between the I/D polymorphism in the <it>ACE </it>gene and cancer risk by meta-analysis.</p> <p>Methods</p> <p>A search was performed in Pubmed database, Embase database, Chinese Biomedical (CBM) database, China National Knowledge Infrastructure (CNKI) database and Weipu database, covering all studies until August 31, 2010. Statistical analysis was performed by using Revman4.2 and STATA 10.0.</p> <p>Results</p> <p>A total of 25 case-control studies comprising 3914 cancer patients and 11391 controls were identified. No significant association was found between the I/D polymorphism and over all cancer risks (OR = 0.88, 95%CI = 0.73-1.06, P = 0.17 for DD+DI vs. II). In the subgroup analysis by ethnicity, no significant association was found among Asians and Europeans for the comparison of DD+DI vs. II. In the subgroup analysis by cancer types, no significant associations were found among lung cancer, breast cancer, prostate cancer, colorectal cancer, gastric cancer for the comparison of DD+DI vs. II. Results from other comparative genetic models also indicated the lack of associations between this polymorphism and cancer risks.</p> <p>Conclusions</p> <p>This meta-analysis suggested that the <it>ACE </it>D/I polymorphism might not contribute to the risk of cancer.</p

    Phytoplankton evolution during the creation of a biofloc system for shrimp culture

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    [EN] Microalgae play a key role in the dynamics of biofloc technology aquaculture systems. Some phytoplankton groups, such as diatoms, are desired for their high nutritional value and contribution to water quality. Other groups, such as cyanobacteria, are undesired because of their low nutritional value and capacity of producing toxins. So, monitoring the phytoplankton community structure and succession is key for managing biofloc systems. However, research on phytoplankton in these systems is scarce and mostly done by microscopy. The primary objective of this research was to estimate phytoplankton community structure in shrimp biofloc system water samples, using high-performance liquid chromatography methods and CHEMTAX software. The major groups present in our system were diatoms, euglenophytes, cyanobacteria and chlorophytes, while dinoflagellates were only remarkable at the initial period. We observed a clear dominance of diatoms all along the 5 months that comprised a complete biofloc system culture. The characteristic succession of autotrophic processes by heterotrophs of the biofloc systems, was observed by the reduction of net primary production. Light intensity played a key role in determining the phytoplankton composition and abundance. Algal pigment analyses using high-performance liquid chromatography and subsequent CHEMTAX analysis in water samples was useful for estimating the phytoplankton community structure in the biofloc systems. However, we found some limitations when the biofloc system was in heterotrophic mode. Under these conditions, some dinoflagellates and cyanobacteria behaved as heterotrophs and lost or decreased their biomarkers pigments. So, further research is needed to increase knowledge on the accuracy of high-performance liquid chromatography /CHEMTAX under these conditions.Financial support for this research was provided by Conselleria d’Educació, Investigació, Cultura i Esport of the Generalitat Valenciana, through the program VALi+D, fle number ACIF/2014/244. We would like to express our deepest thanks to Professor Luis Henrique da Silva Poersch of FURG (Universidade Federal do Rio Grande) and Ivan Vidal (Langostinos el Real) for his support. Finally, the authors wish to thank Le Gouessant and Michaël Metz for providing the commercial feed.Llario-Sempere, F.; Rodilla, M.; Escrivá-Perales, J.; Falco, S.; Sebastiá-Frasquet, M. (2018). Phytoplankton evolution during the creation of a biofloc system for shrimp culture. International Journal of Environmental Science and Technology. 1-12. https://doi.org/10.1007/s13762-018-1655-5S112Ahmed A, Kurian S, Gauns M, Chndrasekhararao AV, Mulla A, Naik B, Naik H, Naqvi SWA (2016) Spatial variability in phytoplankton community structure along the eastern Arabian Sea during the onset of south-west monsoon. Cont Shelf Res 119:30–39. https://doi.org/10.1016/j.csr.2016.03.005Avnimelech Y (1999) Carbon/nitrogen ratio as a control element in aquaculture systems. Aquaculture 176:227–235. https://doi.org/10.1016/S0044-8486(99)00085-XAvnimelech Y (2007) Feeding with microbial flocs by tilapia in minimal discharge bio-flocs technology ponds. Aquaculture 264:140–147. https://doi.org/10.1016/j.aquaculture.2006.11.025Avnimelech Y (2009) Biofloc technology. A practical guide book. The World Aquaculture Society, Baton RougeAzim ME, Little DC (2008) The biofloc technology (BFT) in indoor tanks: water quality, biofloc composition, and growth and welfare of Nile tilapia (Oreochromis niloticus). Aquaculture 283:29–35. https://doi.org/10.1016/j.aquaculture.2008.06.036Ballester ELC, Abreu PC, Cavalli RO, Emerenciano M, de Abreu L, Wasielesky WJ (2010) Effect of practical diets with different protein levels on the performance of Farfantepenaeus paulensis juveniles nursed in a zero exchange suspended microbial flocs intensive system. Aquac Nutr 16:163–172. https://doi.org/10.1111/j.1365-2095.2009.00648.xBaloi M, Arantes R, Schveitzer R, Magnotti C, Vinatea L (2013) Performance of Pacific white shrimp Litopenaeus vannamei raised in biofloc systems with varying levels of light exposure. Aquac Eng 52:39–44. https://doi.org/10.1016/j.aquaeng.2012.07.003Baumgarten MGZ, Wallner-Kersanach M, Niencheski LFH (2010) Manual de análises em oceanografia química. Furg, Rio GrandeBecerra-Dórame MJ, Martínez-Córdova LR, Martínez-Porchas M, Lopez-Elías JA (2011) Evaluation of autotrophic and heterotrophic microcosm- based systems on the production response of Litopenaeus vannamei intensively nursed without Artemia and with zero water exchange. Isr J Aquac Bamidgeh 63:7Brito LO, dos Santos IGS, de Abreu JL, de Araújo MT, Severi W, Gàlvez AO (2016) Effect of the addition of diatoms (Navicula spp.) and rotifers (Brachionus plicatilis) on water quality and growth of the Litopenaeus vannamei postlarvae reared in a biofloc system. Aquac Res 47:3990–3997. https://doi.org/10.1111/are.12849Campa-Córdova AI, Núñez-Vázquez EJ, Luna-González A, Romero-Geraldo MJ, Ascencio F (2009) Superoxide dismutase activity in juvenile Litopenaeus vannamei and Nodipecten subnodosus exposed to the toxic dinoflagellate Prorocentrum lima. Comp Biochem Physiol C Toxicol Pharmacol 149:317–322. https://doi.org/10.1016/j.cbpc.2008.08.006Casé M, Leça EE, Leitão SN, SantAnna EE, Schwamborn R, de Moraes Junior AT (2008) Plankton community as an indicator of water quality in tropical shrimp culture ponds. Mar Pollut Bull 56:1343–1352. https://doi.org/10.1016/j.marpolbul.2008.02.008Chen YC (2001) Immobilized microalga Scenedesmus quadricauda (Chlorophyta, Chlorococcales) for long-term storage and for application for water quality control in fish culture. Aquaculture 195:71–80. https://doi.org/10.1016/S0044-8486(00)00540-8Correia ES, Wilkenfeld JS, Morris TC, Wei L, Prangnell DI, Samocha TM (2014) Intensive nursery production of the Pacific white shrimp Litopenaeus vannamei using two commercial feeds with high and low protein content in a biofloc-dominated system. Aquac Eng 59:48–54. https://doi.org/10.1016/j.aquaeng.2014.02.002Duarte CM, Marrasé C, Vaqué D, Estrada M (1990) Counting error and the quantitative analysis of phytoplankton communities. J Plankton Res 12:295–304. https://doi.org/10.1093/plankt/12.2.295Ebeling J, Timmons M, Bisogni J (2006) Engineering analysis of the stoichiometry of photoautotrophic, autotrophic, and heterotrophic removal of ammonia–nitrogen in aquaculture systems. Aquaculture 257:346–358. https://doi.org/10.1016/j.aquaculture.2006.03.019El-Dahhar AA, Salama M, Elebiary EH (2015) Effect of energy to protein ratio in biofloc technology on water quality, survival and growth of mullet (Mugil cephalus). J Arab Aquac Soc 10:15–32. https://doi.org/10.12816/0026633Emerenciano MGC, Martínez-Córdova LR, Martínez-Porchas M, Miranda-Baeza A (2017) Biofloc technology (BFT): a tool for water quality management. In: Tutu H (ed) water quality. InTech, Rijeka. https://doi.org/10.5772/66416Figueroa F, Niell F, Figueiras F, Villarino M (1998) Diel migration of phytoplankton and spectral light field in the Ria de Vigo (NW Spain). Mar Biol 130:491–499Gaona CAP, Poersch LH, Krummenauer D, Foes GK, Wasielesky WJ (2011) The effect of solids removal on water quality, growth and survival of Litopenaeus vannamei in a biofloc technology culture system. Int J Recirc Aquac. https://doi.org/10.21061/ijra.v12i1.1354Garrido JL, Airs RL, Rodríguez F, Van Heukelem L, Zapata M (2011) New HPLC separation techniques. In: Roy S, Llewellyn CA, Egeland ES, Johnsen G (eds) Phytoplankton pigments: characterization, chemotaxonomy, and applications in oceanography. University Press, Cambridge, pp 165–194Ge H, Li J, Chang Z, Chen P, Shen M, Zhao F (2016) Effect of microalgae with semicontinuous harvesting on water quality and zootechnical performance of white shrimp reared in the zero water exchange system. Aquac Eng 72–73:70–76. https://doi.org/10.1016/j.aquaeng.2016.04.006Godoy LC, Odebrecht C, Ballester E, Martins TG, Wasielesky WJ (2012) Effect of diatom supplementation during the nursery rearing of Litopenaeus vannamei (Boone, 1931) in a heterotrophic culture system. Aquac Int 20:559–569. https://doi.org/10.1007/s10499-011-9485-1Grasshoff K (1976) Methods of seawater analysis. Verlag Chemie: Weinstei, New YorkGreen BW, Schrader KK, Perschbacher PW (2014) Effect of stocking biomass on solids, phytoplankton communities, common off-flavors, and production parameters in a channel catfish biofloc technology production system. Aquac Res 45:1442–1458. https://doi.org/10.1111/are.12096Gris B, Sforza E, Morosinotto T, Bertucco A, La Rocca N (2017) Influence of light and temperature on growth and high-value molecules productivity from Cyanobacterium aponinum. J Appl Phycol 29:1781–1790. https://doi.org/10.1007/s10811-017-1133-3Higgins HW, Wright SW, Schlüter L (2011) Quantitative interpretation of chemotaxonomic pigment data. In: Roy S, Llewellyn CA, Egeland ES, Johnsen G (eds) Phytoplankton pigments: characterization, chemotaxonomy, and applications in oceanography. Cambridge University Press, Cambridge, pp 257–313Hooker S, Firestone E, Claustre H, Ras J (2001) The first SeaWiFS HPLC analysis round-robin experiment (SeaHARRE-1). https://ntrs.nasa.gov/search.jsp?R=20010072242 . Accessed 19 July 2017Horabun T (1997) Relationships between water quality and phytoplankton in the Bangpakong river. http://agris.fao.org/agris-search/search.do?recordID=TH2000001898 . Accessed 19 July 2017Ismael AA (2003) Succession of heterotrophic and mixotrophic dinoflagellates as well as autotrophic microplankton in the harbour of Alexandria, Egypt. J Plankton Res 25:193–202. https://doi.org/10.1093/plankt/25.2.193Jeffrey SW, Sielicki M, Haxo FT (1975) Chloroplast pigment patterns in dinoflagellates. J Phycol 11:374–384. https://doi.org/10.1111/j.1529-8817.1975.tb02799.xJeong HJ, Yoo YD, Kim JS, Seong KA, Kang NS, Kim TH (2010) Growth, feeding and ecological roles of the mixotrophic and heterotrophic dinoflagellates in marine planktonic food webs. Ocean Sci J 45:65–91. https://doi.org/10.1007/s12601-010-0007-2Jory DE, Cabrera TR, Dugger DM, Fegan D, Lee PG, Lawrence L, Jackson C, Mcintosh R, Castañeda J, International B, Park H, Hwy N, Pierce F (2001) A global review of shrimp feed management: status and perspectives. Aquaculture 318:104–152Ju ZY, Forster I, Conquest L, Dominy W, Kuo WC, Horgen FD (2008) Determination of microbial community structures of shrimp floc cultures by biomarkers and analysis of floc amino acid profiles. Aquac Res 39:118–133. https://doi.org/10.1111/j.1365-2109.2007.01856.xKingston MB (1999) Effect of light on vertical migration and photosynthesis of Euglena proxima (euglenophyta). J Phycol 35:245–253. https://doi.org/10.1046/j.1529-8817.1999.3520245.xLatasa M, Scharek R, Vidal M, Vila-Reixach G (2010) Preferences of phytoplankton groups for waters of different trophic status in the northwestern Mediterranean Sea. Mar Ecol Prog Ser 40:27–42. https://doi.org/10.3354/meps08559Li Y, Swift E, Buskey EJ (1996) Photoinhibition of mechanically stimulable bioluminescence in the heterotrophic dinoflagellate Protoperidinium depressum (pyrrophyta). J Phycol 32:974–982. https://doi.org/10.1111/j.0022-3646.1996.00974.xLi A, Stoecker D, Adolf J (1999) Feeding, pigmentation, photosynthesis and growth of the mixotrophic dinoflagellate Gyrodinium galatheanum. Aquat Microb Ecol 19:163–176. https://doi.org/10.3354/ame019163Lin YC, Chen JC (2001) Acute toxicity of ammonia on Litopenaeus vannamei (Boone) juveniles at different salinity levels. J Exp Mar Biol Ecol 259:109–119. https://doi.org/10.1016/S0022-0981(01)00227-1Lin YC, Chen JC (2003) Acute toxicity of nitrite on Litopenaeus vannamei (Boone) juveniles at different salinity levels. Aquaculture 224:93–201. https://doi.org/10.1016/S0044-8486(03)00220-5Lohscheider JN, Strittmatter M, Küpper H, Adamska I, Heaney S, Cunningham C (2011) Vertical distribution of epibenthic freshwater cyanobacterial Synechococcus spp. Strains depends on their ability for photoprotection. PLoS ONE. https://doi.org/10.1371/journal.pone.0020134Lukwambe B, Qiuqian L, Wu J, Zhang D, Wang K, Zheng Z (2015) The effects of commercial microbial agents (probiotics) on phytoplankton community structure in intensive white shrimp (Litopenaeus vannamei) aquaculture ponds. Aquac Int 23:1443–1455. https://doi.org/10.1007/s10499-015-9895-6Mackey MD, Mackey DJ, Higgins HW, Wright SW (1996) CHEMTAX—a program for estimating class abundances from chemical markers: application to HPLC measurements of phytoplankton. Mar Ecol Prog Ser 144:265–283Maicá PF, de Borba MR, Wasielesky WJ (2012) Effect of low salinity on microbial floc composition and performance of Litopenaeus vannamei (Boone) juveniles reared in a zero-water-exchange super-intensive system. Aquac Res 43:361–370. https://doi.org/10.1111/j.1365-2109.2011.02838.xManan H, Moh JHZ, Kasan NA, Suratman S, Ikhwanuddin M (2016) Identification of biofloc microscopic composition as the natural bioremediation in zero water exchange of Pacific white shrimp, Penaeus vannamei, culture in closed hatchery system. Appl Water Sci. https://doi.org/10.1007/s13201-016-0421-4Marinho YF, Brito LO, Campos S, Severi W, Andrade HA, Galvez AO (2016) Effect of the addition of Chaetoceros calcitrans, Navicula sp. and Phaeodactylum tricornutum (diatoms) on phytoplankton composition and growth of Litopenaeus vannamei (Boone) postlarvae reared in a biofloc system. Aquac Res 48:4155–4164. https://doi.org/10.1111/are.13235Martins TG, Odebrecht C, Jensen LV, D’Oca MG, Wasielesky WJ (2016) The contribution of diatoms to bioflocs lipid content and the performance of juvenile Litopenaeus vannamei (Boone, 1931) in a BFT culture system. Aquac Res 47:1315–1326. https://doi.org/10.1111/are.12592Murphy J, Riley JP (1962) A modified single solution method for the determination of phosphate in natural waters. Anal Chim Acta 27:31–36. https://doi.org/10.1016/S0003-2670(00)88444-5Natrah FMI, Bossier P, Sorgeloos P, Yusoff FM, Defoirdt T (2014) Significance of microalgal-bacterial interactions for aquaculture. Rev Aquac 6:48–61. https://doi.org/10.1111/raq.12024Niemi G, Wardrop D, Brooks R, Anderson S, Brady V, Paerl H, Rakocinski C, Brouwer M, Levinson B, McDonald M (2004) Rationale for a new generation of indicators for coastal waters. Environ Health Perspect 112:979–986. https://doi.org/10.1289/ehp.6903Paerl H, Tucker C (1995) Ecology of blue-green algae in aquaculture ponds. J World Aquac 26:109–131. https://doi.org/10.1111/j.1749-7345.1995.tb00235.xPérez-Linares J, Ochoa JL, GagoMartínez A (2008) Effect of PSP toxins in white leg shrimp Litopenaeus vannamei Boone, 1931. J Food Sci 73:T69–T73. https://doi.org/10.1111/j.1750-3841.2008.00710.xPérez-Morales A, Band-Schmidt CJ, Martínez-Díaz SF (2017) Mortality on zoea stage of the Pacific white shrimp Litopenaeus vannamei caused by Cochlodinium polykrikoides (Dinophyceae) and Chattonella spp. (Raphidophyceae). Mar Biol 164:57. https://doi.org/10.1007/s00227-017-3083-3Ray AJ, Dillon KS, Lotz JM (2011) Water quality dynamics and shrimp (Litopenaeus vannamei) production in intensive, mesohaline culture systems with two levels of biofloc management. Aquac Eng 45:127–136. https://doi.org/10.1016/j.aquaeng.2011.09.001Schlüter L, Lauridsen T, Krogh G (2006) Identification and quantification of phytoplankton groups in lakes using new pigment ratios–a comparison between pigment analysis by HPLC and microscopy. Freshwater 51:1474–1485. https://doi.org/10.1111/j.1365-2427.2006.01582.x/fullSchlüter L, Behl S, Striebel M, Stibor H (2016) Comparing microscopic counts and pigment analyses in 46 phytoplankton communities from lakes of different trophic state. Freshw Biol 61:1627–1639. https://doi.org/10.1111/fwb.12803Schrader KK, Green BW, Perschbacher PW (2011) Development of phytoplankton communities and common off-flavors in a biofloc technology system used for the culture of channel catfish (Ictalurus punctatus). Aquac Eng 45:118–126. https://doi.org/10.1016/j.aquaeng.2011.08.004Sebastiá M, Rodilla M (2013) Nutrient and phytoplankton analysis of a Mediterranean Coastal area. Environ Manage 51:225–240. https://doi.org/10.1007/s00267-012-9986-3Sebastiá M, Rodilla M, Sanchis J, Altur V (2012) Influence of nutrient inputs from a wetland dominated by agriculture on the phytoplankton community in a shallow harbour at the Spanish Mediterranean coast. Agric Ecosyst Environ 152:10–20. https://doi.org/10.1016/j.agee.2012.02.006Seoane S, Garmendia M, Revilla M, Borja Á, Franco J, Orive E, Valencia V (2011) Phytoplankton pigments and epifluorescence microscopy as tools for ecological status assessment in coastal and estuarine waters, within the Water Framework. Mar Pollut 62:1484–1497. https://doi.org/10.1016/j.marpolbul.2011.04.010Sinden A, Sinang SC (2016) Cyanobacteria in aquaculture systems: linking the occurrence, abundance and toxicity with rising temperatures. Int J Environ Sci Technol 13:2855–2862. https://doi.org/10.1007/s13762-016-1112-2Sospedra J, Niencheski LFH, Falco S, Andrade CF, Attisano KK, Rodilla M (2017) Identifying the main sources of silicate in coastal waters of the Southern Gulf of Valencia (Western Mediterranean Sea). Oceanologia. https://doi.org/10.1016/j.oceano.2017.07.004Strickland J (1960) Measuring the production of marine phytoplankton. Bull Fish Res Bd Canada 122:172Ter Braak CJF (1994) Canonical community ordination. Part I: basic theory and linear methods. Écoscience 1:127–140. https://doi.org/10.1080/11956860.1994.11682237Ter Braak C, Smilauer P (2002) CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). http://library.wur.nl/WebQuery/wurpubs/wever/341885 . Accessed 19 July 2017Utermohl M (1985) Zur Vervollkommnung der quantitative Phytoplankton-Methodik. Limnologie 9:1–38Van Wyk P, Scarpa J (1999) Water quality requirements and management. In: Institution Harbor Branch Oceanographic (ed) Farming marine shrimp in recirculating freshwater systems. Florida Department of Agriculture and Consumer Services, Florida, pp 128–138Vinatea L, Gálvez AO, Browdy CL, Stokes A, Venero J, Haveman J, Lewis BL, Lawson A, Shuler A, Leffler JW (2010) Photosynthesis, water respiration and growth performance of Litopenaeus vannamei in a super-intensive raceway culture with zero water exchange: interaction of water quality variables. Aquac Eng 42:17–24. https://doi.org/10.1016/j.aquaeng.2009.09.001Wright S, Jeffrey S, Mantoura R (1991) Improved HPLC method for the analysis of chlorophylls and carotenoids from marine phytoplankton. Mar Ecol Prog Ser 77:186–196Yu H, Jia S, Dai Y (2009) Growth characteristics of the cyanobacterium Nostoc flagelliforme in photoautotrophic, mixotrophic and heterotrophic cultivation. J Appl Phycol 21:127–133. https://doi.org/10.1007/s10811-008-9341-5Yusoff FM, Zubaidah MS, Matias HB, Kwan TS (2002) Phytoplankton succession in intensive marine shrimp culture ponds treated with a commercial bacterial product. Aquac Res 33:269–278. https://doi.org/10.1046/j.1355-557x.2002.00671.

    The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

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    Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors
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