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| 1 | Impact of dietary supplementation of one-carbon metabolism on neural recovery显示文摘In the cell,one-carbon metabolism modulates nucleotide synthesis,DNA repair,as well as methylation through the reduction of homocysteine(Figure 1).High levels of plasma homocysteine have been associated with negative health outcomes in humans(Murray et al.,2017).Folates,B-vitamins,are a major component of one-carbon metabolism and play an important role in brain function.Specifically,they are involved in nucleotide synthesis,DNA repair,methylation,second messenger systems,ion channels,protein。 | Joshua T.Emmerson Lauren K.Murray Nafisa M.Jadavji | 2017 | Neural Regeneration Research2017，12，7： | 0 |
| 2 | In vivo percutaneous reflectance spectroscopy of fatty liver development in rats suggests that the elevation of the scattering power is an early indicator of hepatic steatosis显示文摘This study assessed whether there was a scat tering spectral mar ker quantifiable by reflectance measurements that could indicate early development of hepatic steatosis in rats for potential applications to pre procurement organ evaluation.Sixteen rats were fed a methionine choline-deficient(MCD)diet and eight rats were fed a normal diet.Direct assessment of the liver parenchyma of rats in vivo was performed by percut aneous reflect ance spectroscopy using a single fiber probe at the beginning of diet-intake and arbitrary post-diet-intake times up to 11 weeks to render longitudinal comparison.Histological sampling of the liver over the duration of diet adm inistration was performed on two MCD diet treated rats and one control rat eutha-nized after reflectance spectroscopy measurement.The images of hematoxylin/eosin-stained liver specimens were analyzed morphometrically to evahuate the lipid size changes associated with the level of steatosis.The MCD-diet-treated group(n=16)had mild steatosis in seven rats,moderate in three rats,severe in six rats,and no other significant pathology.No control rats(n=8)developed hepatic steatosis.Among the parameters retrieved from per-SfS,only the scat tering power(can be either positive or negative)appeared to be statist ically diferent between MCD-treated and control livers.The scattering power for the 16 MCD-diet-treated livers at the time of euthanasia and presenting various levels of steatosis was 033±0.21,in comparison to 0.036±0.25 of the eight control livers(p=0.0189).When evaluated at days 12 and 13 combined,the scattering power of the 16 MCD-diet-treated livers was 032±0.17,in comparison to 0.10±0.11 of the eight control livers(p=0.0017).All of four MCD-treated livers harvested at days 12 and 13 presented mild steatosis with sub-micron size lipid droplets,even though none of the MCD-treated livers were sonogr aphically remarkable for fatty changes.The elevation of the scattering power may be a valuable marker indicating early hepatic steatosis before the steatosis is sonographically detectable. | Daqing Piao Jerry W.Ritchey GReed Holyoak Corey R.Wall Nigar Sultana Jill K.Murray Kenneth E.Bartels | 2018 | Journal of Innovative Optical Health Sciences2018，，4： | 0 |
| 3 | Search for two-neutrino double-beta decay of^(136)Xe to the 0^(+)_(1)excited state of 136Ba with the complete EXO-200 dataset显示文摘A new search for two-neutrino double-beta(2νββ)decay of^(136)Xe to the 0+1 excited state of 136Ba is performed with the full EXO-200 dataset.A deep learning-based convolutional neural network is used to discriminate signal from background events.Signal detection efficiency is increased relative to previous searches by EXO-200 by more than a factor of two.With the addition of the Phase II dataset taken with an upgraded detector,the median 90%confidence level half-life sensitivity of 2νββdecay to the 0+1 state of 136Ba is 2.9×10^(24)yr using a total^(136)Xe exposure of 234.1 kg yr.No statistically significant evidence for 2νββdecay to the 0^(+)_(1)state is observed,leading to a lower limit of T2ν1/2(0^(+)→0^(+)_(1))>1.4×10^(24)yr at 90%confidence level,improved by 70%relative to the current world's best constraint. | S.Al Kharusi G.Anton I.Badhrees P.S.Barbeau D.Beck V.Belov T.Bhatta M.Breidenbach T.Brunner G.F.Cao W.R.Cen C.Chambers B.Cleveland M.Coon A.Craycraft T.Daniels L.Darroch S.J.Daugherty J.Davis S.Delaquis A.Der Mesrobian-Kabakian R.DeVoe J.Dilling A.Dolgolenko M.J.Dolinski J.Echevers W.Fairbank Jr. D.Fairbank J.Farine S.Feyzbakhsh P.Fierlinger Y.S.Fu D.Fudenberg P.Gautam R.Gornea G.Gratta C.Hall E.V.Hansen J.Hoessl P.Hufschmidt M.Hughes A.Iverson A.Jamil C.Jessiman M.J.Jewell A.Johnson A.Karelin L.J.Kaufman T.Koffas R.Krücken A.Kuchenkov K.S.Kumar Y.Lan A.Larson B.G.Lenardo D.S.Leonard G.S.Li S.Li Z.Li C.Licciardi Y.H.Lin R.MacLellan T.McElroy T.Michel B.Mong D.C.Moore K.Murray O.Njoya O.Nusair A.Odian I.Ostrovskiy A.Perna A.Piepke A.Pocar F.Retière A.L.Robinson P.C.Rowson J.Runge S.Schmidt D.Sinclair K.Skarpaas A.K.Soma V.Stekhanov M.Tarka S.Thibado J.Todd T.Tolba T.I.Totev R.Tsang B.Veenstra V.Veeraraghavan P.Vogel J.-L.Vuilleumier M.Wagenpfeil J.Watkins M.Weber L.J.Wen U.Wichoski G.Wrede S.X.Wu Q.Xia D.R.Yahne L.Yang Y.-R.Yen O.Ya.Zeldovich T.Ziegler 无 | 2023 | Chinese Physics C2023，47，10： | 0 |
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