256 research outputs found
Hydrological Foundation as a Basis for a Holistic Environmental Flow Assessment of Tropical Highland Rivers in Ethiopia
The sustainable development of water resources includes retaining some amount of the natural flow regime in water bodies to protect and maintain aquatic ecosystem health and the human livelihoods and wellbeing dependent upon them. Although assessment of environmental flows is now occurring globally, limited studies have been carried out in the Ethiopian highlands, especially studies to understand flow-ecological response relationships. This paper establishes a hydrological foundation of Gumara River from an ecological perspective. The data analysis followed three steps: first, determination of the current flow regime flow indices and ecologically relevant flow regime; second, naturalization of the current flow regime looking at how flow regime is changing; and, finally, an initial exploration of flow linkages with ecological processes. Flow data of Gumara River from 1973 to 2018 are used for the analysis. Monthly low flow occurred from December to June; the lowest being in March, with a median flow of 4.0 m(3) s(-1). Monthly high flow occurred from July to November; the highest being in August, with a median flow of 236 m(3) s(-1). 1-Day low flows decreased from 1.55 m(3) s(-1) in 1973 to 0.16 m(3) s(-1) in 2018, and 90-Day (seasonal) low flow decreased from 4.9 m(3) s(-1) in 1973 to 2.04 m(3) s(-1) in 2018. The Mann-Kendall trend test indicated that the decrease in low flow was significant for both durations at alpha = 0.05. A similar trend is indicated for both durations of high flow. The decrease in both low flows and high flows is attributed to the expansion of pump irrigation by 29 km(2) and expansion of plantations, which resulted in an increase of NDVI from 0.25 in 2000 to 0.29 in 2019. In addition, an analysis of environmental flow components revealed that only four "large floods" appeared in the last 46 years; no "large flood" occurred after 1988. Lacking "large floods" which inundate floodplain wetlands has resulted in early disconnection of floodplain wetlands from the river and the lake; which has impacts on breeding and nursery habitat shrinkage for migratory fish species in Lake Tana. On the other hand, the extreme decrease in "low flow" components has impacts on pin smaller pools. These results serve as the hydrological foundation for continued studies in the Gumara catchment, with the eventual goal of quantifying environmental flow requirements.redators, reducing their mobility and ability to access prey concentrate
An Examination of Psychological Flexibility as a Mediator Between Mental Health Concerns and Satisfaction With Life Among Autistic Adults
Background: Experiencing mental health concerns (e.g., depression, anxiety, stress) can have negative effects on satisfaction with life (SWL) for autistic adults. Current mental health supports that may promote SWL do not effectively meet the needs of autistic adults, often due to deficits-based approaches. Methods: To begin addressing the gap in research surrounding mental health supports among autistic adults, we designed a preregistered longitudinal study that used structural equation modeling to assess 289 autistic adults from the Simons Powering Autism Research (SPARK) program to determine if progress toward ones values, a strengths-based component of psychological flexibility, is a potential mechanism through which mental health concerns (i.e., depression, anxiety, and stress) impact SWL. Results: Results suggested that depression (but not anxiety or stress) negatively affected participants’ SWL. However, when including components of psychological flexibility as a mediator, there was no longer a significant direct effect between depression and SWL, suggesting that influences on SWL was explained through participants levels of components of psychological flexibility. The influence of values progress on the association between depression and SWL was significantly stronger than that of value obstruction (a deficit-based construct). Associations did not differ across gender. Conclusion: These findings provide preliminary support for interventions targeting improvements in psychological flexibility as they may help address core issues of deficit-based mental health services while also being able to emphasize outcomes that matter most to the autism community
Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa)
[EN] Environmental flow assessment (EFA) involving microhabitat preference models is a common approach to set ecologically friendly flow regimes in territories with ongoing or planned projects to develop river basins, such as many rivers of Eastern Africa. However, habitat requirements of many African fish species are poorly studied, which may impair EFAs. This study investigated habitat preferences of fish assemblages, based on species presence-absence data from 300 microhabitats collected in two tributaries of the Kilombero River (Tanzania), aiming to disentangle differences in habitat preferences of African species at two levels: assemblage (i.e. between tributaries) and species (i.e. species-specific habitat preferences). Overall, flow velocity, which implies coarser substrates and shallower microhabitats, emerged as the most important driver responsible of the changes in stream-dwelling assemblages at the microhabitat scale. At the assemblage level, we identified two important groups of species according to habitat preferences: (a) cover-orientated and limnophilic species, including Barbus spp., Mormyridae and Chiloglanis deckenii, and (b) rheophilic species, including Labeo cylindricus, Amphilius uranoscopus and Parakneria spekii. Rheophilic species preferred boulders, fast flow velocity and deeper microhabitats. At the species level, we identified species-specific habitat preferences. For instance, Barbus spp. preferred low flow velocity shallow depth and fine-to-medium substratum, whereas L. cylindricus and P. spekii mainly selected shallow microhabitats with coarse substrata. Knowledge of habitat preferences of these assemblages and species should enhance the implementation of ongoing and future EFA studies of the region.We thank C. Alexander and an anonymous referee for constructive comments on the submitted manuscript. This study was financed by the United States Agency for International Development (USAID) as part of the Technical Assistance to Support the Development of Irrigation and Rural Roads Infrastructure Project (IRRIP2), implemented by CDM International Inc. We are particularly grateful to the local people who helped us during the data collection. We also gratefully acknowledge individuals from organisations that collaborated in this research and especially the scientific committee that shared their knowledge of the Kilombero River basin. These individuals include the following: J.J. Kashaigili (SUA), K.N. Njau (NM. AIST), P.M. Ndomba (UDSM), F. Mombo (SUA), S. Graas (UNESCO- IHE), C.M. Mengo (RUFIJI BASIN), J.H. O'keeffe (Rhodes Univ.), S.M. Andrew (SUA), P. Paron (UNESCO-IHE), W. Kasanga (CDM Smith), and R. Tharme (RIVER FUTURES). R. Muñoz-Mas benefitted from a postdoctoral Juan de la Cierva fellowship from the Spanish Ministry of Science, Innovation and Universities (ref. FJCI-2016-30829) and J. Sánchez-Hernández was supported by a postdoctoral grant from the Galician Plan for Research, Innovation and Growth (Plan I2C, Xunta de Galicia). Additional funding was provided by the Ministry of Science, Innovation and Universities (projects CGL2016-80820-R and PCIN-2016-168) and the Government of Catalonia (ref. 2017 SGR 548).Muñoz-Mas, R.; Sánchez-Hernández, J.; Martinez-Capel, F.; Tamatamah, R.; Mohamedi, S.; Massinde, R.; Mcclain, ME. (2019). Microhabitat preferences of fish assemblages in the Udzungwa Mountains (Eastern Africa). Ecology Of Freshwater Fish. 28(3):473-484. https://doi.org/10.1111/eff.12469S473484283Akbaripasand, A., & Closs, G. P. (2017). Effects of food supply and stream physical characteristics on habitat use of a stream-dwelling fish. Ecology of Freshwater Fish, 27(1), 270-279. doi:10.1111/eff.12345Alexander, C., Poulsen, F., Robinson, D. C. E., Ma, B. O., … Luster, R. A. (2018). Improving Multi-Objective Ecological Flow Management with Flexible Priorities and Turn-Taking: A Case Study from the Sacramento River and Sacramento–San Joaquin Delta. San Francisco Estuary and Watershed Science, 16(1). doi:10.15447/sfews.2018v16iss1/art2ALLOUCHE, S. (2002). NATURE AND FUNCTIONS OF COVER FOR RIVERINE FISH. Bulletin Français de la Pêche et de la Pisciculture, (365-366), 297-324. doi:10.1051/kmae:2002037Ardia, D., Boudt, K., Carl, P., Mullen, K., M., & Peterson, B., G. (2011). Differential Evolution with DEoptim. The R Journal, 3(1), 27. doi:10.32614/rj-2011-005Arthington, A. H., Bunn, S. E., Poff, N. L., & Naiman, R. J. (2006). THE CHALLENGE OF PROVIDING ENVIRONMENTAL FLOW RULES TO SUSTAIN RIVER ECOSYSTEMS. Ecological Applications, 16(4), 1311-1318. doi:10.1890/1051-0761(2006)016[1311:tcopef]2.0.co;2Austin, M. (2007). Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecological Modelling, 200(1-2), 1-19. doi:10.1016/j.ecolmodel.2006.07.005Bain, M. B., Finn, J. T., & Booke, H. E. (1985). A Quantitative Method for Sampling Riverine Microhabitats by Electrofishing. North American Journal of Fisheries Management, 5(3B), 489-493. doi:10.1577/1548-8659(1985)52.0.co;2Baselga, A., & Araújo, M. B. (2009). Individualistic vs community modelling of species distributions under climate change. Ecography, 32(1), 55-65. doi:10.1111/j.1600-0587.2009.05856.xCAMP, E. V., GWINN, D. C., PINE III, W. E., & FRAZER, T. K. (2011). Changes in submersed aquatic vegetation affect predation risk of a common prey fish Lucania parva (Cyprinodontiformes: Fundulidae) in a spring-fed coastal river. Fisheries Management and Ecology, 19(3), 245-251. doi:10.1111/j.1365-2400.2011.00827.xCheng, B., & Li, H. (2018). Agricultural economic losses caused by protection of the ecological basic flow of rivers. Journal of Hydrology, 564, 68-75. doi:10.1016/j.jhydrol.2018.06.065Cotula, L. (2012). The international political economy of the global land rush: A critical appraisal of trends, scale, geography and drivers. The Journal of Peasant Studies, 39(3-4), 649-680. doi:10.1080/03066150.2012.674940Dudgeon, D. (2000). The Ecology of Tropical Asian Rivers and Streams in Relation to Biodiversity Conservation. Annual Review of Ecology and Systematics, 31(1), 239-263. doi:10.1146/annurev.ecolsys.31.1.239Eccles D. H.(1992).Field guide to the freshwater fishes of Tanzania. FAO species identification sheets for fishery purposes.Rome Italy:FAO: Food & Agriculture Organization of the United Nations.Elisa, M., Gara, J. I., & Wolanski, E. (2010). A review of the water crisis in Tanzania’s protected areas, with emphasis on the Katuma River—Lake Rukwa ecosystem. Ecohydrology & Hydrobiology, 10(2-4), 153-165. doi:10.2478/v10104-011-0001-zFriedman, J. H. (2001). machine. The Annals of Statistics, 29(5), 1189-1232. doi:10.1214/aos/1013203451Fukuda, S., De Baets, B., Waegeman, W., Verwaeren, J., & Mouton, A. M. (2013). Habitat prediction and knowledge extraction for spawning European grayling (Thymallus thymallus L.) using a broad range of species distribution models. Environmental Modelling & Software, 47, 1-6. doi:10.1016/j.envsoft.2013.04.005Fukuda, S., Mouton, A. M., & De Baets, B. (2011). Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi–Sugeno fuzzy system. Environmental Monitoring and Assessment, 184(10), 6159-6171. doi:10.1007/s10661-011-2410-2Garbe, J., Beevers, L., & Pender, G. (2016). The interaction of low flow conditions and spawning brown trout ( Salmo trutta ) habitat availability. Ecological Engineering, 88, 53-63. doi:10.1016/j.ecoleng.2015.12.011Gibson, R. J. (1993). The Atlantic salmon in fresh water: spawning, rearing and production. Reviews in Fish Biology and Fisheries, 3(1), 39-73. doi:10.1007/bf00043297Ibanez, C., Oberdorff, T., Teugels, G., Mamononekene, V., Lavoué, S., Fermon, Y., … Toham, A. K. (2007). Fish assemblages structure and function along environmental gradients in rivers of Gabon (Africa). Ecology of Freshwater Fish, 16(3), 315-334. doi:10.1111/j.1600-0633.2006.00222.xJOHNSON, J. H., & DOUGLASS, K. A. (2009). Diurnal stream habitat use of juvenile Atlantic salmon, brown trout and rainbow trout in winter. Fisheries Management and Ecology, 16(5), 352-359. doi:10.1111/j.1365-2400.2009.00680.xKadye, W. T., & Chakona, A. (2012). Spatial and temporal variation of fish assemblage in two intermittent streams in north-western Zimbabwe. African Journal of Ecology, 50(4), 428-438. doi:10.1111/j.1365-2028.2012.01338.xKadye, W. T., & Moyo, N. A. G. (2008). Stream fish assemblage and habitat structure in a tropical African river basin (Nyagui River, Zimbabwe). African Journal of Ecology, 46(3), 333-340. doi:10.1111/j.1365-2028.2007.00843.xKouamé, K. A., Yao, S. S., Gooré Bi, G., Kouamélan, E. P., N’Douba, V., & Kouassi, N. J. (2007). Influential environmental gradients and patterns of fish assemblages in a West African basin. Hydrobiologia, 603(1), 159-169. doi:10.1007/s10750-007-9256-1Logez, M., Bady, P., & Pont, D. (2011). Modelling the habitat requirement of riverine fish species at the European scale: sensitivity to temperature and precipitation and associated uncertainty. Ecology of Freshwater Fish, 21(2), 266-282. doi:10.1111/j.1600-0633.2011.00545.xMaguire, K. C., Nieto-Lugilde, D., Blois, J. L., Fitzpatrick, M. C., Williams, J. W., Ferrier, S., & Lorenz, D. J. (2016). Controlled comparison of species- and community-level models across novel climates and communities. Proceedings of the Royal Society B: Biological Sciences, 283(1826), 20152817. doi:10.1098/rspb.2015.2817McClain, M. E., Kashaigili, J. J., & Ndomba, P. (2013). Environmental flow assessment as a tool for achieving environmental objectives of African water policy, with examples from East Africa. International Journal of Water Resources Development, 29(4), 650-665. doi:10.1080/07900627.2013.781913McClain, M. E., Subalusky, A. L., Anderson, E. P., Dessu, S. B., Melesse, A. M., Ndomba, P. M., … Mligo, C. (2014). Comparing flow regime, channel hydraulics, and biological communities to infer flow–ecology relationships in the Mara River of Kenya and Tanzania. Hydrological Sciences Journal, 59(3-4), 801-819. doi:10.1080/02626667.2013.853121Mouton, A. M., Alcaraz-Hernández, J. D., De Baets, B., Goethals, P. L. M., & Martínez-Capel, F. (2011). Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. Environmental Modelling & Software, 26(5), 615-622. doi:10.1016/j.envsoft.2010.12.001Mouton, A. M., De Baets, B., & Goethals, P. L. M. (2010). Ecological relevance of performance criteria for species distribution models. Ecological Modelling, 221(16), 1995-2002. doi:10.1016/j.ecolmodel.2010.04.017Mouton, A. M., Schneider, M., Peter, A., Holzer, G., Müller, R., Goethals, P. L. M., & De Pauw, N. (2008). Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland). Ecological Modelling, 215(1-3), 122-132. doi:10.1016/j.ecolmodel.2008.02.028Mullen, K., Ardia, D., Gil, D., Windover, D., & Cline, J. (2011). DEoptim: AnRPackage for Global Optimization by Differential Evolution. Journal of Statistical Software, 40(6). doi:10.18637/jss.v040.i06Muñoz-Mas, R., Marcos-Garcia, P., Lopez-Nicolas, A., Martínez-García, F. J., Pulido-Velazquez, M., & Martínez-Capel, F. (2018). Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change. Ecological Modelling, 386, 98-114. doi:10.1016/j.ecolmodel.2018.08.012Muñoz-Mas, R., Martínez-Capel, F., Alcaraz-Hernández, J. D., & Mouton, A. M. (2015). Can multilayer perceptron ensembles model the ecological niche of freshwater fish species? Ecological Modelling, 309-310, 72-81. doi:10.1016/j.ecolmodel.2015.04.025Muñoz-Mas, R., Martínez-Capel, F., Alcaraz-Hernández, J. D., & Mouton, A. M. (2017). On species distribution modelling, spatial scales and environmental flow assessment with Multi–Layer Perceptron Ensembles: A case study on the redfin barbel (Barbus haasi; Mertens, 1925). Limnologica, 62, 161-172. doi:10.1016/j.limno.2016.09.004Muñoz-Mas, R., Martínez-Capel, F., Schneider, M., & Mouton, A. M. (2012). Assessment of brown trout habitat suitability in the Jucar River Basin (SPAIN): Comparison of data-driven approaches with fuzzy-logic models and univariate suitability curves. Science of The Total Environment, 440, 123-131. doi:10.1016/j.scitotenv.2012.07.074Muñoz-Mas, R., Papadaki, C., Martínez-Capel, F., Zogaris, S., Ntoanidis, L., & Dimitriou, E. (2016). Generalized additive and fuzzy models in environmental flow assessment: A comparison employing the West Balkan trout (Salmo farioides; Karaman, 1938). Ecological Engineering, 91, 365-377. doi:10.1016/j.ecoleng.2016.03.009Ngugi, C. C., Manyala, J. O., Njiru, M., & Mlewa, C. M. (2009). Some aspects of the biology of the stargazer mountain catfish,Amphilius uranoscopus(pfeffer); (Siluriformes: Amphiliidae) indigenous to Kenya streams. African Journal of Ecology, 47(4), 606-613. doi:10.1111/j.1365-2028.2009.01032.xNovák, V., & Lehmke, S. (2006). Logical structure of fuzzy IF-THEN rules. Fuzzy Sets and Systems, 157(15), 2003-2029. doi:10.1016/j.fss.2006.02.011Pease, A. A., Taylor, J. M., Winemiller, K. O., & King, R. S. (2015). Ecoregional, catchment, and reach-scale environmental factors shape functional-trait structure of stream fish assemblages. Hydrobiologia, 753(1), 265-283. doi:10.1007/s10750-015-2235-zPetts, G. E. (2009). Instream Flow Science For Sustainable River Management. JAWRA Journal of the American Water Resources Association, 45(5), 1071-1086. doi:10.1111/j.1752-1688.2009.00360.xPOFF, N. L., & ZIMMERMAN, J. K. H. (2010). Ecological responses to altered flow regimes: a literature review to inform the science and management of environmental flows. Freshwater Biology, 55(1), 194-205. doi:10.1111/j.1365-2427.2009.02272.xPoff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter, B. D., … Stromberg, J. C. (1997). The Natural Flow Regime. BioScience, 47(11), 769-784. doi:10.2307/1313099POFF, N. L., RICHTER, B. D., ARTHINGTON, A. H., BUNN, S. E., NAIMAN, R. J., KENDY, E., … WARNER, A. (2010). The ecological limits of hydrologic alteration (ELOHA): a new framework for developing regional environmental flow standards. Freshwater Biology, 55(1), 147-170. doi:10.1111/j.1365-2427.2009.02204.xReiser, D. W., & Hilgert, P. J. (2018). A Practitioner’s Perspective on the Continuing Technical Merits of PHABSIM. Fisheries, 43(6), 278-283. doi:10.1002/fsh.10082ROBERTS, T. R. (1975). Geographical distribution of African freshwater fishes. Zoological Journal of the Linnean Society, 57(4), 249-319. doi:10.1111/j.1096-3642.1975.tb01893.xSánchez-Hernández, J., Gabler, H.-M., & Amundsen, P.-A. (2017). Prey diversity as a driver of resource partitioning between river-dwelling fish species. Ecology and Evolution, 7(7), 2058-2068. doi:10.1002/ece3.2793Scheidegger, K. J., & Bain, M. B. (1995). Larval Fish Distribution and Microhabitat Use in Free-Flowing and Regulated Rivers. Copeia, 1995(1), 125. doi:10.2307/1446807SCHMIDT, R. C., BART, H. L. J., & NYINGI, W. D. (2015). Two new species of African suckermouth catfishes, genus Chiloglanis (Siluriformes: Mochokidae), from Kenya with remarks on other taxa from the area. Zootaxa, 4044(1), 45. doi:10.11646/zootaxa.4044.1.2Schoelynck, J., Creëlle, S., Buis, K., De Mulder, T., Emsens, W.-J., Hein, T., … Folkard, A. (2018). What is a macrophyte patch? Patch identification in aquatic ecosystems and guidelines for consistent delineation. Ecohydrology & Hydrobiology, 18(1), 1-9. doi:10.1016/j.ecohyd.2017.10.005Skelton P. H.(2001).A complete guide to the freshwater fishes of southern Africa. Struik.Somodi, I., Lepesi, N., & Botta-Dukát, Z. (2017). Prevalence dependence in model goodness measures with special emphasis on true skill statistics. Ecology and Evolution, 7(3), 863-872. doi:10.1002/ece3.2654Storn, R., & Price, K. (1997). Journal of Global Optimization, 11(4), 341-359. doi:10.1023/a:1008202821328Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, SMC-15(1), 116-132. doi:10.1109/tsmc.1985.6313399Tharme, R. E. (2003). A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Research and Applications, 19(5-6), 397-441. doi:10.1002/rra.736Theodoropoulos, C., Skoulikidis, N., Stamou, A., & Dimitriou, E. (2018). Spatiotemporal Variation in Benthic-Invertebrates-Based Physical Habitat Modelling: Can We Use Generic Instead of Local and Season-Specific Habitat Suitability Criteria? Water, 10(11), 1508. doi:10.3390/w10111508Vadas, R. L., Vadas, R. L., & Orth, D. J. (2000). Environmental Biology of Fishes, 59(3), 253-269. doi:10.1023/a:1007613701843Van Oosterhout, M. P., van der Velde, G., & Gaigher, I. G. (2008). High altitude mountain streams as a possible refuge habitat for the catfish Amphilius uranoscopus. Environmental Biology of Fishes, 84(1), 109-120. doi:10.1007/s10641-008-9394-yVezza, P., Parasiewicz, P., Rosso, M., & Comoglio, C. (2011). DEFINING MINIMUM ENVIRONMENTAL FLOWS AT REGIONAL SCALE: APPLICATION OF MESOSCALE HABITAT MODELS AND CATCHMENTS CLASSIFICATION. River Research and Applications, 28(6), 717-730. doi:10.1002/rra.1571Vilizzi, L., Stakenas, S., & Copp, G. H. (2012). Use of constrained additive and quadratic ordination in fish habitat studies: an application to introduced pumpkinseed (Lepomis gibbosus) and native brown trout (Salmo trutta) in an English stream. Fundamental and Applied Limnology, 180(1), 69-75. doi:10.1127/1863-9135/2012/0277Webb, J. A., de Little, S. C., Miller, K. A., & Stewardson, M. J. (2018). Quantifying and predicting the benefits of environmental flows: Combining large-scale monitoring data and expert knowledge within hierarchical Bayesian models. Freshwater Biology, 63(8), 831-843. doi:10.1111/fwb.13069Wisz, M. S., Hijmans, R. J., Li, J., Peterson, A. T., Graham, C. H., & Guisan, A. (2008). Effects of sample size on the performance of species distribution models. Diversity and Distributions, 14(5), 763-773. doi:10.1111/j.1472-4642.2008.00482.xWorthington E. B.(1929).A Report on the Fishing Survey of Lakes Albert and Kioga: March to July 1928. Government of Uganda Protectorate by the Crown Agents for the Colonies.Yee, T. W. (2006). CONSTRAINED ADDITIVE ORDINATION. Ecology, 87(1), 203-213. doi:10.1890/05-0283Yee, T. W. (2010). TheVGAMPackage for Categorical Data Analysis. Journal of Statistical Software, 32(10). doi:10.18637/jss.v032.i10Yen, J., & Liang Wang. (1998). Application of statistical information criteria for optimal fuzzy model construction. IEEE Transactions on Fuzzy Systems, 6(3), 362-372. doi:10.1109/91.705503Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. doi:10.1016/s0019-9958(65)90241-xZhou, S.-M., & Gan, J. Q. (2008). Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems, 159(23), 3091-3131. doi:10.1016/j.fss.2008.05.01
Medically relevant ElectroNeedle technology development.
ElectroNeedles technology was developed as part of an earlier Grand Challenge effort on Bio-Micro Fuel Cell project. During this earlier work, the fabrication of the ElectroNeedles was accomplished along with proof-of-concept work on several electrochemically active analytes such as glucose, quinone and ferricyanide. Additionally, earlier work demonstrated technology potential in the field of immunosensors by specifically detecting Troponin, a cardiac biomarker. The current work focused upon fabrication process reproducibility of the ElectroNeedles and then using the devices to sensitively detect p-cresol, a biomarker for kidney failure or nephrotoxicity. Valuable lessons were learned regarding fabrication assurance and quality. The detection of p-cresol was accomplished by electrochemistry as well as using fluorescence to benchmark ElectroNeedles performance. Results from these studies will serve as a guide for the future fabrication processes involving ElectroNeedles as well as provide the groundwork necessary to expand technology applications. One paper has been accepted for publication acknowledging LDRD funding (K. E. Achyuthan et al, Comb. Chem. & HTS, 2008). We are exploring the scope for a second paper describing the applications potential of this technology
Effect of rhPDGF-BB on bone turnover during periodontal repair
Purpose : Growth factors such as platelet-derived growth factor (PDGF) exert potent effects on wound healing including the regeneration of periodontia. Pyridinoline cross-linked carboxyterminal telopeptide of type I collagen (ICTP) is a well-known biomarker of bone turnover, and as such is a potential indicator of osseous metabolic activity. The objective of this study was to evaluate the release of the ICTP into the periodontal wound fluid (WF) following periodontal reconstructive surgery using local delivery of highly purified recombinant human PDGF (rhPDGF)-BB. Methods : Forty-seven human subjects at five treatment centres possessing chronic severe periodontal disease were monitored longitudinally for 24 weeks following PDGF regenerative surgical treatment. Severe periodontal osseous defects were divided into one of three groups and treated at the time of surgery with either: Β -tricalcium phosphate (TCP) osteoconductive scaffold alone (active control), Β -TCP+0.3 mg/ml of rhPDGF-BB, or Β -TCP+1.0 mg/ml of rhPDGF-BB. WF was harvested and analysed for local ICTP levels by radioimmunoassay. Statistical analysis was performed using analysis of variance and an area under the curve analysis (AUC). Results : The 0.3 and 1.0 mg/ml PDGF-BB treatment groups demonstrated increases in the amount of ICTP released locally for up to 6 weeks. There were statistically significant differences at the week 6 time point between Β -TCP carrier alone group versus 0.3 mg/ml PDGF-BB group ( p <0.05) and between Β -TCP alone versus the 1.0 mg/ml PDGF-BB-treated lesions ( p <0.03). The AUC analysis revealed no statistical differences amongst groups. Conclusion : This study corroborates the release of ICTP as a measure of active bone turnover following local delivery of PDGF-BB to periodontal osseous defects. The amount of ICTP released from the WF revealed an early increase for all treatment groups. Data from this study suggests that when PDGF-BB is delivered to promote periodontal tissue engineering of tooth-supporting osseous defects, there is a direct effect on ICTP released from the wound.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72239/1/j.1600-051X.2005.00870.x.pd
Platelet‐Derived Growth Factor Promotes Periodontal Regeneration in Localized Osseous Defects: 36‐Month Extension Results From a Randomized, Controlled, Double‐Masked Clinical Trial
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141092/1/jper0456.pd
Iron Overload and Diabetes Risk: A Shift From Glucose to Fatty Acid Oxidation and Increased Hepatic Glucose Production in a Mouse Model of Hereditary Hemochromatosis
OBJECTIVE Excess tissue iron levels are a risk factor for diabetes, but the mechanisms underlying the association are incompletely understood. We previously published that mice and humans with a form of hereditary iron overload, hemochromatosis, exhibit loss of beta-cell mass. This effect by itself is not sufficient, however, to fully explain the diabetes risk phenotype associated with all forms of iron overload.
RESEARCH DESIGN AND METHODS We therefore examined glucose and fatty acid metabolism and hepatic glucose production in vivo and in vitro in a mouse model of hemochromatosis in which the gene most often mutated in the human disease, HFE, has been deleted (Hfe(-/-)).
RESULTS Although Hfe(-/-) mice exhibit increased glucose uptake in skeletal muscle, glucose oxidation is decreased and the ratio of fatty acid to glucose oxidation is increased. On a high-fat diet, the Hfe(-/-) mice exhibit increased fatty acid oxidation and are hypermetabolic. The decreased glucose oxidation in skeletal muscle is due to decreased pyruvate dehydrogenase (PDH) enzyme activity related, in turn, to increased expression of PDH kinase 4 (pdk4). Increased substrate recycling to liver contributes to elevated hepatic glucose production in the Hfe(-/-) mice.
CONCLUSIONS Increased hepatic glucose production and metabolic inflexibility, both of which are characteristics of type 2 diabetes, may contribute to the risk of diabetes with excessive tissue iron
Platelet‐Derived Growth Factor Stimulates Bone Fill and Rate of Attachment Level Gain: Results of a Large Multicenter Randomized Controlled Trial
Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141430/1/jper2205.pd
- …