122 research outputs found

    Anemia of Inflammation Is Related to Cognitive Impairment among Children in Leyte, The Philippines

    Get PDF
    Past studies have demonstrated that iron deficiency anemia is related to deficits in cognitive fucntioning in children, and treating iron deficiency anemia with iron supplementation can improve cognition. Anemia of inflammation is another type of anemia caused by many diseases of lesser-developed countries including bacterial and parasitic infections. Anemia of inflammation is characterized by disordered iron metabolism, such that iron is sequestered in storage forms, preventing its use from tissues that require it. We hypothesized that decreased iron delivery to the brain in the context of anemia of inflammation might lead to decreased cognitive performance. This study found that children with anemia of inflammation had decreased cognitive performance in specific domains, compared to subjects with no anemia. True total body iron deficiency anemia was related to lower performance in the same domains. The only treatment option for anemia of inflammation is treatment of the underlying disease. Iron supplementation will not prevent cognitive deficits in children with anemia of inflammation. Interventions aimed towards maximizing the cognitive development of children in lesser-developed countries will need to focus on the prevention and treatment of bacterial and parasitic infections

    Randomised controlled trial of a home-based physical activity intervention in breast cancer survivors

    Get PDF
    Background: To improve adherence to physical activity (PA), behavioural support in the form of behavioural change counselling may be necessary. However, limited evidence of the effectiveness of home-based PA combined with counselling in breast cancer patients exists. The aim of this current randomised controlled trial with a parallel group design was to evaluate the effectiveness of a home-based PA intervention on PA levels, anthropometric measures, health-related quality of life (HRQoL), and blood biomarkers in breast cancer survivors. Methods: Eighty post-adjuvant therapy invasive breast cancer patients (age = 53.6 ± 9.4 years; height = 161.2 ± 6.8 cm; mass = 68.7 ± 10.5 kg) were randomly allocated to a 6-month home-based PA intervention or usual care. The intervention group received face-to-face and telephone PA counselling aimed at encouraging the achievement of current recommended PA guidelines. All patients were evaluated for our primary outcome, PA (International PA Questionnaire) and secondary outcomes, mass, BMI, body fat %, HRQoL (Functional assessment of Cancer Therapy-Breast), insulin resistance, triglycerides (TG) and total (TC), high-density lipoprotein (HDL-C) and low-density lipoprotein (LDL-C) cholesterol were assessed at baseline and at 6-months. Results: On the basis of linear mixed-model analyses adjusted for baseline values performed on 40 patients in each group, total, leisure and vigorous PA significantly increased from baseline to post-intervention in the intervention compared to usual care (between-group differences, 578.5 MET-min∙wk−1, p = .024, 382.2 MET-min∙wk−1, p = .010, and 264.1 MET-min∙wk−1, p = .007, respectively). Both body mass and BMI decreased significantly in the intervention compared to usual care (between-group differences, −1.6 kg, p = .040, and −.6 kg/m2, p = .020, respectively). Of the HRQoL variables, FACT-Breast, Trial Outcome Index, functional wellbeing, and breast cancer subscale improved significantly in the PA group compared to the usual care group (between-group differences, 5.1, p= .024; 5.6, p = .001; 1.9 p = .025; and 2.8, p=.007, respectively). Finally, TC and LDL-C was significantly reduced in the PA group compared to the usual care group (between-group differences, −.38 mmol∙L−1, p=.001; and −.3 mmol∙L−1, p=.023, respectively). Conclusions: We found that home-based PA resulted in significant albeit small to moderate improvements in selfreported PA, mass, BMI, breast cancer specific HRQoL, and TC and LDL-C compared with usual care

    Dedifferentiation of Foetal CNS Stem Cells to Mesendoderm-Like Cells through an EMT Process

    Get PDF
    Tissue-specific stem cells are considered to have a limited differentiation potential. Recently, this notion was challenged by reports that showed a broader differentiation potential of neural stem cells, in vitro and in vivo, although the molecular mechanisms that regulate plasticity of neural stem cells are unknown. Here, we report that neural stem cells derived from mouse embryonic cortex respond to Lif and serum in vitro and undergo epithelial to mesenchymal transition (EMT)-mediated dedifferentiation process within 48 h, together with transient upregulation of pluripotency markers and, more notably, upregulation of mesendoderm genes, Brachyury (T) and Sox17. These induced putative mesendoderm cells were injected into early gastrulating chick embryos, which revealed that they integrated more efficiently into mesoderm and endoderm lineages compared to non-induced cells. We also found that TGFβ and Jak/Stat pathways are necessary but not sufficient for the induction of mesendodermal phenotype in neural stem cells. These results provide insights into the regulation of plasticity of neural stem cells through EMT. Dissecting the regulatory pathways involved in these processes may help to gain control over cell fate decisions

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

    Full text link
    [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.

    Dose-response relationship between arsenic exposure and the serum enzymes for liver function tests in the individuals exposed to arsenic: a cross sectional study in Bangladesh

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Chronic arsenic exposure has been shown to cause liver damage. However, serum hepatic enzyme activity as recognized on liver function tests (LFTs) showing a dose-response relationship with arsenic exposure has not yet been clearly documented. The aim of our study was to investigate the dose-response relationship between arsenic exposure and major serum enzyme marker activity associated with LFTs in the population living in arsenic-endemic areas in Bangladesh.</p> <p>Methods</p> <p>A total of 200 residents living in arsenic-endemic areas in Bangladesh were selected as study subjects. Arsenic concentrations in the drinking water, hair and nails were measured by Inductively Coupled Plasma Mass Spectroscopy (ICP-MS). The study subjects were stratified into quartile groups as follows, based on concentrations of arsenic in the drinking water, as well as in subjects' hair and nails: lowest, low, medium and high. The serum hepatic enzyme activities of alkaline phosphatase (ALP), aspartate transaminase (AST) and alanine transaminase (ALT) were then assayed.</p> <p>Results</p> <p>Arsenic concentrations in the subjects' hair and nails were positively correlated with arsenic levels in the drinking water. As regards the exposure-response relationship with arsenic in the drinking water, the respective activities of ALP, AST and ALT were found to be significantly increased in the high-exposure groups compared to the lowest-exposure groups before and after adjustments were made for different covariates. With internal exposure markers (arsenic in hair and nails), the ALP, AST and ALT activity profiles assumed a similar shape of dose-response relationship, with very few differences seen in the higher groups compared to the lowest group, most likely due to the temporalities of exposure metrics.</p> <p>Conclusions</p> <p>The present study demonstrated that arsenic concentrations in the drinking water were strongly correlated with arsenic concentrations in the subjects' hair and nails. Further, this study revealed a novel exposure- and dose- response relationship between arsenic exposure metrics and serum hepatic enzyme activity. Elevated serum hepatic enzyme activities in the higher exposure gradients provided new insights into arsenic-induced liver toxicity that might be helpful for the early prognosis of arsenic-induced liver diseases.</p

    The Synergistic Effect of Concomitant Schistosomiasis, Hookworm, and Trichuris Infections on Children's Anemia Burden

    Get PDF
    Polyparasitic infections have been recognized as the norm in many tropical developing countries, but the significance of this phenomenon for helminth-associated morbidities is largely unexplored. Earlier studies have suggested that multi-species, low-intensity parasitic infections were associated with higher odds of anemia among school-age children relative to their uninfected counterparts or those with one low-intensity infection. However, specific studies of the nature of interactions between helminth species in the mediation of helminth-associated morbidities are lacking. This study quantifies the extent to which polyparasitic infections have more than the sum of adverse effects associated with individual infections in the context of childhood anemia. This study found that the risk of anemia is amplified beyond the sum of risks for individual infections in children simultaneously exposed to 1) hookworm and schistosomiasis, and 2) hookworm and trichuris, and suggests that combined treatment for some geohelminth species and schistosomiasis could yield greater than additive benefits for the reduction of childhood anemia in helminth-endemic areas. However, more studies to understand the full range of interactions between parasitic species in their joint effects on helminth-associated morbidities will be necessary to better predict the impact of any future public health intervention

    Depressive symptoms associated with COVID-19 preventive practice measures, daily activities in home quarantine and suicidal behaviors: findings from a large-scale online survey in Bangladesh

    Get PDF
    Background: The world is facing a public health emergency situation caused by the COVID-19 pandemic. Psychological wellbeing among individuals worldwide has been negatively affected by the pandemic especially in low- and middle-income countries such as Bangladesh. The present study aimed to assess the estimate of depressive symptoms and investigated its associations with COVID-19 preventive practice measures, daily activities in home quarantine, and suicidal behaviors in a large-scale Bangladeshi online survey. Methods: An online-based cross-sectional survey was widely distributed to Bangladeshi citizens. A total of 13,654 participants (61.0% male; mean age = 24.0 years [SD = 6.0]; age range 18–65 years) completed the survey between May and June (2020). The survey included socio-demographics and COVID-19-related questions, along with lifestyle, suicidal, and psychometric measures. Hierarchical regression was performed to determine significant associations between depression and examined variables. Results: The estimate of depressive symptoms during the COVID-19 pandemic was 43.5%. Based on hierarchical regression analysis, depression was significantly associated with not engaging in COVID-19 preventive measures, daily activities in home quarantine (e.g., playing videogames), and suicidal behaviors. Conclusions: Depressive symptoms appeared to be high during the COVID-19 pandemic in Bangladesh. To fight against the pandemic, mental health issues as well as physical health issues need to be taken into consideration

    Xist-dependent imprinted X inactivation and the early developmental consequences of its failure

    Get PDF
    The long noncoding RNA Xist is expressed from only the paternal X chromosome in mouse preimplantation female embryos and mediates transcriptional silencing of that chromosome. In females, absence of Xist leads to postimplantation lethality. Here, through single-cell RNA sequencing of early preimplantation mouse embryos, we found that the initiation of imprinted X-chromosome inactivation absolutely requires Xist. Lack of paternal Xist leads to genome-wide transcriptional misregulation in the early blastocyst and to failure to activate the extraembryonic pathway that is essential for postimplantation development. We also demonstrate that the expression dynamics of X-linked genes depends on the strain and parent of origin as well as on the location along the X chromosome, particularly at the first 'entry' sites of Xist. This study demonstrates that dosage-compensation failure has an effect as early as the blastocyst stage and reveals genetic and epigenetic contributions to orchestrating transcriptional silencing of the X chromosome during early embryogenesis.This work was funded by a fellowship of Région Ile-de-France (DIM STEMP OLE) to M.B., the Paris Alliance of Cancer Research Institutes (PACRI-ANR) to LS and ERC Advanced Investigator award (ERC-2010-AdG–No.250367), EU FP7 grants SYBOSS (EU 7th Framework G.A. no. 242129) and MODHEP (EU 7th Framework G.A. no. 259743), La Ligue, Fondation de France, Labex DEEP (ANR-11-LBX-0044) part of the IDEX Idex PSL (ANR-10-IDEX-0001-02 PSL) and ABS4NGS (ANR-11-BINF-0001) to E.H and France Genomique National infrastructure (ANR-10-INBS09) to EH, NS, EB

    Incarceration history and risk of HIV and hepatitis C virus acquisition among people who inject drugs: a systematic review and meta-analysis

    Get PDF
    Background: People who inject drugs (PWID) experience high rates of incarceration and may be at high risk of HIV and hepatitis C (HCV) virus infection during or after incarceration. We conducted a systematic review and meta-analysis to assess whether incarceration history elevates HIV or HCV acquisition risk among PWID.Methods: MEDLINE, Embase and PsycINFO databases were searched for studies in any language published since 2000 assessing HIV or HCV incidence among PWID. Studies were included if they reported the association between recent (in last 3, 6 or 12 months or since last follow-up) or past incarceration and HIV or HCV (primary or reinfection) incidence. Authors of incidence studies not reporting these outcomes were contacted for data. Data were extracted and pooled using random-effects meta-analyses. Findings: Twenty published and 21 unpublished studies were included, originating from Australasia, Western and Eastern Europe, North and Latin America and East and Southeast Asia. Recent incarceration was associated with an 81% (rate ratio (RR):1.81, 95%CI: 1.40-2.34) and 62% (RR:1.62, 95%CI:1.28-2.05) increase in HIV and HCV acquisition risk, respectively. Past incarceration was associated with a 25% and 21% increase in HIV (RR:1.25, 95%CI:0.94-1.66) and HCV (RR:1.21, 95%CI:1.02-1.43) and acquisition risk, respectively.Interpretation: Incarceration is associated with substantial short-term HIV and HCV acquisition risk among PWID and could be a significant driver for HCV and HIV transmission among PWID. These findings support the need for developing novel interventions to minimise the risk of HCV acquisition – including addressing structural risks associated with drug laws and excessive incarceration of PWID
    corecore