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Ren W, Zhang CH, Li G, Liu G, Shan H, Li J. Two genetically similar H9N2 influenza viruses isolated from different species show similar virulence in minks but different virulence in mice. Acta Virol 2020; 64:67-77. [PMID: 32180420 DOI: 10.4149/av_2020_109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The H9N2 influenza virus has been frequently endemic in poultry, infected mammals and humans and has threatened public health. It is therefore imperative to understand the molecular mechanism enabling this virus to jump from avian to mammalian species. In this study, two H9N2 influenza viruses were isolated from the same region in eastern China but from different hosts; one was isolated from mink and named A/Mink/Shandong/WM01/2014(H9N2)(WM01), while the other was isolated from chicken and named A/Chicken/Shandong/LX830/2014(H9N2)(LX830). Sequencing and phylogenetic analysis showed that both H9N2 influenza viruses had similar genetic backgrounds. The results of infection in minks suggested that both viruses caused significant weight loss and pathological changes in the lungs. Mouse infection showed that LX830 was nonpathogenic in mice, but WM01 resulted in 25% mortality and pathological changes in the lungs, such as severe edema and diffused inflammation of the interalveolar septa. Comparison of the full genomes of both H9N2 influenza viruses showed 52-nucleotide-synonym mutations in 8 gene segments and 7-nucleotide-antonym mutations, resulting in 7 amino acid (AA) substitutions distributed in the PB1, PA, NA and M gene segments. None of these mutations did affect splicing of the M and NS gene segments at the nucleotide level or minor open reading frames (ORFs), such as PB1-F2 and PA-X. Phylogenetic analysis showed that both H9N2 influenza viruses belong to the prevalent epidemic genotype in Asia. Keywords: H9N2 influenza virus; chicken; minks; pathogenicity; phylogenetic.
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Liu Y, Jia Y, Yang K, Tong Z, Shi J, Li R, Xiao X, Ren W, Hardeland R, Reiter RJ, Wang Z. Melatonin overcomes MCR-mediated colistin resistance in Gram-negative pathogens. Am J Cancer Res 2020; 10:10697-10711. [PMID: 32929375 PMCID: PMC7482817 DOI: 10.7150/thno.45951] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022] Open
Abstract
Background: Emergence, prevalence and widely spread of plasmid-mediated colistin resistance in Enterobacteriaceae strongly impairs the clinical efficacy of colistin against life-threatening bacterial infections. Combinations of antibiotics and FDA-approved non-antibiotic agents represent a promising means to address the widespread emergence of antibiotic-resistant pathogens. Methods: Herein, we investigated the synergistic activity between melatonin and antibiotics against MCR (mobilized colistin resistance)-positive Gram-negative pathogens through checkerboard assay and time-killing curve. Molecular mechanisms underlying its mode of action were elucidated. Finally, we assessed the in vivo efficacy of melatonin in combination with colistin against drug-resistant Gram-negative bacteria. Results: Melatonin, which has been approved for treating sleep disturbances and circadian disorders, substantially potentiates the activity of three antibiotics, particularly colistin, against MCR-expressing pathogens without enhancing its toxicity. This is evidence that the combination of colistin with melatonin enhances bacterial outer membrane permeability, promotes oxidative damage and inhibits the effect of efflux pumps. In three animal models infected by mcr-1-carrying E. coli, melatonin dramatically rescues colistin efficacy. Conclusion: Our findings revealed that melatonin serves as a promising colistin adjuvant against MCR-positive Gram-negative pathogens.
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Chen S, Xia Y, He F, Fu J, Xin Z, Deng B, He L, Zhou X, Ren W. Serine Supports IL-1β Production in Macrophages Through mTOR Signaling. Front Immunol 2020; 11:1866. [PMID: 32973770 PMCID: PMC7481448 DOI: 10.3389/fimmu.2020.01866] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 07/13/2020] [Indexed: 12/13/2022] Open
Abstract
Intracellular metabolic programs tightly regulate the functions of macrophages, and previous studies have shown that serine mainly shapes the macrophage function via one-carbon metabolism. However, it is unknown whether serine modulates the macrophage function independent of one-carbon metabolism. Here, we find that serine deprivation lowers interleukin (IL)-1β production and inflammasome activation, as well as reprograms the transcriptomic and metabolic profile in M1 macrophages. Intriguingly, supplementation of formate, glycine, dNTPs, and glucose cannot rescue the production of IL-1β from serine-deprived macrophages. Mechanistically, serine deprivation inhibits macrophage IL-1β production through inhibition of mechanistic target of rapamycin (mTOR) signaling. Of note, the macrophages from mice feeding serine-free diet have lower IL-1β production, and these mice also show less inflammation after LPS challenge. Collectively, our data highlight a new regulatory mechanism for serine to modulate the macrophage function.
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Bin P, Zhu C, Liu S, Li Z, Ren W, Zhu G. Perspective: Methionine Restriction-Induced Longevity-A Possible Role for Inhibiting the Synthesis of Bacterial Quorum Sensing Molecules. Adv Nutr 2020; 11:773-783. [PMID: 32221578 PMCID: PMC7360445 DOI: 10.1093/advances/nmaa028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 12/21/2019] [Accepted: 02/28/2020] [Indexed: 12/20/2022] Open
Abstract
Methionine restriction (MR) extends lifespans in multiple species through mechanisms that include enhanced oxidative stress resistance and inhibition of insulin/insulin-like growth factor I (IGF-I) signaling. Methionine and S-adenosylmethionine (SAM) are the essential precursors of bacterial quorum sensing (QS) molecules, and therefore, MR might also affect bacterial communication to prevent enteric bacterial infection as well as chronic inflammation, which contributes to lifespan prolongation. Here, we discuss the influence of MR on oxidative stress resistance and inhibition of insulin/IGF-I cell signaling and further propose a potential mechanism involving bacterial QS inhibition for lifespan extension. Unraveling the connection between MR and inhibition of QS provides new strategies for combating infectious diseases, resulting in enriched understanding of MR-induced lifespan extension.
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Guo J, Zeng M, Zhang Y, Huang H, Yang G, Xu F, Ren W, Wang J, Huang Y, Wang N, Xing C. Serum Alkaline Phosphatase Level Predicts Cardiac Valve Calcification in Maintenance Hemodialysis Patients. Blood Purif 2020; 49:550-559. [PMID: 32050204 DOI: 10.1159/000505846] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 01/09/2020] [Indexed: 11/19/2022]
Abstract
PURPOSE Cardiac valve calcification (CVC) is frequently occurred in maintenance hemodialysis (MHD) patients and is associated with cardiovascular and all-cause mortality. This study aimed to evaluate the relationships between risk factors and extent of CVC and further provide the treatment target in MHD patients. METHODS One hundred and forty-five patients who received MHD ≥3 months were enrolled. CVC was assessed by an echocardiographic, semi-quantitative manner called global cardiac calcium scoring system (GCCS), and demographic, clinical, and laboratory parameters including mineral metabolism markers were collected. RESULTS The average age of the patients was 50 ± 12 years, and 54.5% were men. The mean GCCS was 1.8 ± 2.4; 57.2% of patients had GCCS ≥1. Age, dialysis vintage, serum alkaline phosphatase (ALP), and intact parathyroid hormone levels were positively correlated with CVC, whereas serum albumin levels were negatively related to CVC, based on univariate analysis. With multivariate linear regression analysis, serum ALP was the only bone-derived biomarker that showed significant correlation with CVC. Serum ALP ≥232 U/L was a robust predictor of CVC and was associated with the likelihood of GCCS ≥1 (OR 3.92, 95% CI 1.37-11.2, p = 0.011). The decision tree model was used to identify ALP ≥232 U/L and age ≥60 years as important determinative variables in the prediction of CVC in MHD patients. CONCLUSION Serum ALP level is significantly associated with CVC in MHD patients. ALP is suggested to be a promising interventional target for cardiovascular calcification in MHD patients.
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Abbott BP, Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Arun KG, Ascenzi S, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae SW, Bae YB, Baiotti L, Bajpai R, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Bilenko IA, Bilgili SA, Billingsley G, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bloemen S, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DA, Brown DD, Brunett S, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister TA, Calloni E, Camp JB, Campbell WA, Canepa M, Cannon K, Cannon KC, Cao H, Cao J, Capocasa E, Carbognani F, Caride S, Carney MF, Carullo G, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chakravarti K, Chamberlin SJ, Chan M, Chan ML, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro BD, Chen CS, Chen HY, Chen KH, Chen X, Chen Y, Chen YR, Cheng HP, Cheong CK, Chia HY, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu HY, Chu Q, Chu YK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colgan R, Colleoni M, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier LEH, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Pozzo WD, DeMarchi LM, Demos N, Dent T, De Pietri R, Derby J, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Fiore LD, Giovanni MD, Girolamo TD, Lieto AD, Ding B, Pace SD, Palma ID, Renzo FD, Dmitriev A, Doctor Z, Doi K, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eguchi S, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Enomoto Y, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fujii Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Ge GG, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Castro JMG, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo Y, Gupta A, Gupta MK, Gustafson EK, Gustafson R, Haegel L, Hagiwara A, Haino S, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasegawa K, Haster CJ, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Himemoto Y, Hinderer T, Hiranuma Y, Hirata N, Hirose E, Hoak D, Hochheim S, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hong Z, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Hreibi A, Hsieh BH, Huang GZ, Huang PW, Huang YJ, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Ingram C, Inoue Y, Inta R, Intini G, Ioka K, Irwin B, Isa HN, Isac JM, Isi M, Itoh Y, Iyer BR, Izumi K, Jacqmin T, Jadhav SJ, Jani K, Janthalur NN, Jaranowski P, Jenkins AC, Jiang J, Johnson DS, Jones AW, Jones DI, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kajita T, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang GW, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Keerthana NV, Kéfélian F, Keitel D, Kennedy R, Key JS, Khalili FY, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Khursheed M, Kijbunchoo N, Kim C, Kim C, Kim JC, Kim J, Kim K, Kim W, Kim WS, Kim YM, Kimball C, Kimura N, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klika JH, Klimenko S, Knowles TD, Knyazev E, Koch P, Koehlenbeck SM, Koekoek G, Kojima Y, Kokeyama K, Koley S, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Korth WZ, Kotake K, Kowalska I, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu N, Królak A, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kumar S, Kume J, Kuo CM, Kuo HS, Kuo L, Kuroyanagi S, Kusayanagi K, Kutynia A, Kwak K, Kwang S, Lackey BD, Lai KH, Lam TL, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee RK, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li KJL, Li TGF, Li X, Lin CY, Lin F, Lin FL, Lin LCC, Linde F, Linker SD, Littenberg TB, Liu GC, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lower ME, Lück H, Lumaca D, Lundgren AP, Luo LW, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, Macquet A, Magaña-Sandoval F, Zertuche LM, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Meidam J, Melatos A, Mendell G, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Michimura Y, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Millhouse M, Mills JC, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moffa D, Mogushi K, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nardecchia I, Narikawa T, Naticchioni L, Nayak RK, Negishi R, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng S, Nguyen P, Ni WT, Nichols D, Nishizawa A, Nissanke S, Nocera F, North C, Nuttall LK, Obergaulinger M, Oberling J, O’Brien BD, Obuchi Y, O’Dea GD, Ogaki W, Ogin GH, Oh JJ, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutomi K, Oliver M, Oohara K, Ooi CP, Oppermann P, Oram RJ, O’Reilly B, Ormiston RG, Ortega LF, O’Shaughnessy R, Oshino S, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan HW, Pan KC, Pang B, Pang HF, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pele A, Arellano FEP, Penn S, Perez CJ, Perreca A, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pillant G, Pinard L, Pinto I, Pirello M, Pitkin M, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quintero EA, Quitzow-James R, Raab FJ, Radkins H, Radulescu N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romie JH, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakamoto H, Sakellariadou M, Sakuno Y, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Santiago KA, Sarin N, Sassolas B, Sathyaprakash BS, Sato S, Sato T, Sauter O, Savage RL, Sawada T, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Shahriar MS, Shaner MB, Shao L, Sharma P, Shawhan P, Shen H, Shibagaki S, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh N, Singhal A, Sintes AM, Sitmukhambetov S, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smith JR, Smith RJE, Somala S, Somiya K, Son EJ, Sorazu B, Sorrentino F, Sotani H, Souradeep T, Sowell E, Spencer AP, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Sudhir V, Sugimoto R, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Talukder D, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanioka S, Tanner DB, Tápai M, Martin ENTS, Taracchini A, Tasson JD, Taylor R, Telada S, Thies F, Thomas M, Thomas P, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Tringali MC, Trovato A, Trozzo L, Trudeau R, Tsang KW, Tsang TTL, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsuzuki T, Tuyenbayev D, Uchikata N, Uchiyama T, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Vahlbruch H, Vajente G, Valdes G, Bakel NV, Beuzekom MV, Brand JFJVD, Broeck CVD, Vander-Hyde DC, Schaaf LVD, Heijningen JVV, Putten MHPMV, Veggel AAV, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vine DJ, Vinet JY, Vitale S, Vivanco FH, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang J, Wang JZ, Wang WH, Wang YF, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Worden J, Wright JL, Wu CM, Wu DS, Wu HC, Wu SR, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yancey CC, Yang L, Yap MJ, Yazback M, Yeeles DW, Yokogawa K, Yokoyama J, Yokozawa T, Yoshioka T, Yu H, Yu H, Yuen SHR, Yuzurihara H, Yvert M, Zadrożny AK, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao Y, Zhou M, Zhou Z, Zhu XJ, Zhu ZH, Zimmerman AB, Zucker ME, Zweizig J. Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA. LIVING REVIEWS IN RELATIVITY 2020; 23:3. [PMID: 33015351 PMCID: PMC7520625 DOI: 10.1007/s41114-020-00026-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 05/27/2020] [Indexed: 05/05/2023]
Abstract
We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next several years, with the intention of providing information to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitational-wave signals from the inspiral of binary systems of compact objects, that is binary neutron star, neutron star-black hole, and binary black hole systems. The ability to localize the sources is given as a sky-area probability, luminosity distance, and comoving volume. The median sky localization area (90% credible region) is expected to be a few hundreds of square degrees for all types of binary systems during O3 with the Advanced LIGO and Virgo (HLV) network. The median sky localization area will improve to a few tens of square degrees during O4 with the Advanced LIGO, Virgo, and KAGRA (HLVK) network. During O3, the median localization volume (90% credible region) is expected to be on the order of 10 5 , 10 6 , 10 7 Mpc 3 for binary neutron star, neutron star-black hole, and binary black hole systems, respectively. The localization volume in O4 is expected to be about a factor two smaller than in O3. We predict a detection count of 1 - 1 + 12 ( 10 - 10 + 52 ) for binary neutron star mergers, of 0 - 0 + 19 ( 1 - 1 + 91 ) for neutron star-black hole mergers, and 17 - 11 + 22 ( 79 - 44 + 89 ) for binary black hole mergers in a one-calendar-year observing run of the HLV network during O3 (HLVK network during O4). We evaluate sensitivity and localization expectations for unmodeled signal searches, including the search for intermediate mass black hole binary mergers.
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Wang J, Tan BE, Li J, Qi M, Ren W, Yin Y. PSXIII-23 Dietary glutamine, glutamate, and aspartate supplementation improves morphology and intercellular junction of small intestine in piglets. J Anim Sci 2019. [DOI: 10.1093/jas/skz258.930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Weaning-stress decreases the digestive and absorptive capacity of small intestine in piglets, resulting in reduction in energy intake for intestine cells and defects in epithelial structure. As glutamine (Gln), glutamate (Glu), and aspartate (Asp) are major energy sources for small intestine; thus, this study was conducted to test the hypotheses that supplementation with Gln, Glu, and Asp in diets will improve the intestinal morphology and tight junction in weaning piglets. 198 weaned piglets were assigned to the following treatments: i) Control (Basal diet + 1.59% L-Alanine); ii) T1 (Basal diet + 1% L-Glutamine + 0.5% L-Glutamate + 0.1% L-Aspartate); iii) T2 (Low energy diet + 1% L-Glutamine + 0.5% L-Glutamate + 0.1% L-Aspartate). The small intestinal samples were obtained on 5 or 21-day-post-weaning. The results showed that basal dietary supplementation with Gln, Glu, and Asp in basal diet improved the final body weight (BW), average daily gain (ADG) of piglets on 21-day of post-weaning. Supplementation with Gln, Glu, and Asp in diet with low energy decreased the villus height and crypt depth in ileum of piglets on 5-day-post-weaning, but increased villus height and goblet cell number in jejunum on 21-day post-weaning compared with those in control group. On 5-day-post-weaning, high mRNA levels of voltage-gated potassium (Kv) 1.1 in ileum and Kv 1.5 in jejunum were observed in T 1 and T 2 groups, respectively. Other indicators were higher than those in control piglets on day 5 or 21 post-weaning, including protein abundances of claudin-1, laudin-3 and occluding, and the percentage of proliferating cell nuclear antigen (PCNA)-positive cells in jejunum and ileum in T 1 or T 2 groups. Collectively, these findings indicated that Gln, Glu, and Asp can alleviate the intestinal barrier injury in piglets induced by weaning stress even under low energy diet.
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Wang W, Zhai S, Xia Y, Wang H, Ruan D, Zhou T, Zhu Y, Zhang H, Zhang M, Ye H, Ren W, Yang L. Ochratoxin A induces liver inflammation: involvement of intestinal microbiota. MICROBIOME 2019; 7:151. [PMID: 31779704 PMCID: PMC6883682 DOI: 10.1186/s40168-019-0761-z] [Citation(s) in RCA: 101] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 10/17/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Ochratoxin A (OTA) is a widespread mycotoxin and induces liver inflammation to human and various species of animals. The intestinal microbiota has critical importance in liver inflammation; however, it remains to know whether intestinal microbiota mediates the liver inflammation induced by OTA. Here, we treated ducklings with oral gavage of OTA (235 μg/kg body weight) for 2 weeks. Then, the microbiota in the cecum and liver were analyzed with 16S rRNA sequencing, and the inflammation in the liver was analyzed. To explore the role of intestinal microbiota in OTA-induced liver inflammation, intestinal microbiota was cleared with antibiotics and fecal microbiota transplantation was conducted. RESULTS Here, we find that OTA treatment in ducks altered the intestinal microbiota composition and structure [e.g., increasing the relative abundance of lipopolysaccharides (LPS)-producing Bacteroides], and induced the accumulation of LPS and inflammation in the liver. Intriguingly, in antibiotic-treated ducks, OTA failed to induce these alterations in the liver. Notably, with the fecal microbiota transplantation (FMT) program, in which ducks were colonized with intestinal microbiota from control or OTA-treated ducks, we elucidated the involvement of intestinal microbiota, especially Bacteroides, in liver inflammation induced by OTA. CONCLUSIONS These results highlight the role of gut microbiota in OTA-induced liver inflammation and open a new window for novel preventative or therapeutic intervention for mycotoxicosis.
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Li X, Ren W, Xiao ZY, Wu LF, Wang H, Guo PY. GACAT3 promoted proliferation of osteoarthritis synoviocytes by IL-6/STAT3 signaling pathway. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2019; 22:5114-5120. [PMID: 30178830 DOI: 10.26355/eurrev_201808_15705] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Osteoarthritis (OA) is one of the most common chronic joint diseases, caused by lesions in articular cartilage and synovial membranes. Synovitis is a major characteristic of OA, due to the proliferation of synoviocytes. Long noncoding RNAs (lncRNAs) have implicated to play an important role in many different diseases. The aim of this study was to verify the role of lncRNA gastric cancer-associated transcript 3 (GACAT3) in osteoarthritis. MATERIALS AND METHODS We utilized the qRT-PCR to detect the expression of lncRNA GACAT3 in osteoarthritis synoviocytes (OAS) and normal synoviocytes (NS). The cell proliferation in NS and OAS after transfection with lncRNA-NC or lncRNA-GACAT3 was detected. The cell cycle and apoptosis rate in NS and OAS were measured by the Flow cytometry analysis. Western blot was used to analyze the possible related mechanism that GACAT3 regulated the cells proliferation in osteoarthritis. RESULTS We found that GACAT3 expression was significantly increased in OAS compared with NS. GACAT3 expression was decreased in OAS after transfection with siRNA and the cell proliferation in OAS after transfection with siRNA was significantly inhibited. The cell cycle was arrested in G0/G1 phase and the apoptosis rate was increased in OAS after transfection with siRNA. Moreover, GACAT3 could impact the proliferation of OAS by interleukin-6/signal transducer and activator of transcription-3 (IL-6/STAT3) signaling pathway. CONCLUSIONS In this study, we found that lncRNA GACAT3 was closely related to the osteoarthritis. GACAT3 may be involved in the development and progression of osteoarthritis and become a potential target for treating.
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Xia Y, Chen S, Zhao Y, Chen S, Huang R, Zhu G, Yin Y, Ren W, Deng J. GABA attenuates ETEC-induced intestinal epithelial cell apoptosis involving GABA AR signaling and the AMPK-autophagy pathway. Food Funct 2019; 10:7509-7522. [PMID: 31670355 DOI: 10.1039/c9fo01863h] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Enterotoxigenic Escherichia coli (ETEC) triggers diarrhea in humans and livestock. We have previously showed that ETEC promotes intestinal epithelial cell apoptosis and increases gamma-aminobutyric acid (GABA) concentration in the jejunum, suggesting that GABA might mediate ETEC-induced apoptosis. Here, we found that GABA alleviates ETEC-induced intestinal barrier dysfunctions, including ETEC-induced apoptosis both in vivo and in vitro. Interestingly, the alleviation of GABA on ETEC-induced apoptosis largely depends on autophagy. Mechanistically, GABA attenuates ETEC-induced apoptosis via activating GABAAR signaling and the AMPK-autophagy pathway. These findings highlight that maintaining intestinal GABA concentration could alleviate intestinal ETEC infection.
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Wang X, Wang L, Ren W, Li R, Liu B. "Liquid withdraw" technique in CT-guided cutting needle lung biopsy: Decreased incidence of complications and increased tissue amount for lung cancer molecular testing. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz257.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Wang X, Wang L, Ren W, Li R, Liu B. EP1.05-01 "Liquid Withdraw” Technique in CT-Guided Cutting Needle Lung Biopsy Decrease Incidence of Complications: Prospective Study. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.2138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Li M, Xi P, Xu Y, Wang Z, Han X, Ren W, Phouthapane V, Miao J. Taurine Attenuates Streptococcus uberis-Induced Bovine Mammary Epithelial Cells Inflammation via Phosphoinositides/Ca 2+ Signaling. Front Immunol 2019; 10:1825. [PMID: 31447841 PMCID: PMC6692464 DOI: 10.3389/fimmu.2019.01825] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 07/18/2019] [Indexed: 12/18/2022] Open
Abstract
Taurine may alleviate the inflammatory injury induced by Streptococcus uberis (S. uberis) infection by regulating intracellular Ca2+ levels. However, the underlying mechanisms remain unclear. Infection leads to subversion of phosphoinositides (PIs) which are closely related to Ca2+ signaling. In order to investigate whether taurine regulates inflammation by means of PIs/ Ca2+ systems, competitive inhibitors of taurine (β-alanine) siTauT, siPAT1, siPLC, siCaN, siPKC, and inhibitors of PLC (U73122), PKC (RO31-8220), and CaN (FK 506) were used. The results indicate that taurine transfers the extracellular nutrient signal for intercellular innate immunity to phosphoinositides without a need to enter the cytoplasm while regulating intracellular Ca2+ levels during inflammation. Both the Ca2+-PKCα-NF-κB, and Ca2+-CaM-CaN-NFAT signaling pathways of S. uberis infection and the regulatory roles of taurine follow activation of PIs/Ca2+ systems. These data increase our understanding on the mechanisms of multifunctional nutrient, taurine attenuated inflammatory responses caused by S. uberis infection, and provide theoretical support for the prevention of this disease.
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Zhai Z, Zhang F, Cao R, Ni X, Xin Z, Deng J, Wu G, Ren W, Yin Y, Deng B. Cecropin A Alleviates Inflammation Through Modulating the Gut Microbiota of C57BL/6 Mice With DSS-Induced IBD. Front Microbiol 2019; 10:1595. [PMID: 31354682 PMCID: PMC6635700 DOI: 10.3389/fmicb.2019.01595] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 06/26/2019] [Indexed: 12/14/2022] Open
Abstract
The present study is undertaken to assess the alleviating effects of antimicrobial peptide cecropin A on inflammatory bowel disease (IBD) in C57BL/6 mice and changes in the gut microbiota, compared to an antibiotic gentamicin. Different doses of cecropin A were intraperitoneally injected into C57BL/6 mice for 5 days to determine the safe doses. The injection doses at ≤ 15 mg/kg showed no negative impact on the liver, heart, spleen, and kidney. The severe and moderate IBD mice model was successfully established via supplementation of 4 or 2.5% dextran sulfate sodium (DSS) in drinking water for 5 days. The severe IBD model was used to ensure the optimal therapeutic dose of cecropin A. Survival rate, body weight and disease activity index (DAI) scores were measured. Administration of 15 mg/kg, not 5 mg/kg cecropin A, for 5 days increased survival rate and decreased body weight loss of mice. The moderate IBD model was applied to investigate the mechanisms for cecropin A to alleviate inflammation in comparison to gentamicin. The mice were treated with 15 mg/kg cecropin A or 5 mg/kg gentamicin for 3 days. The levels of cytokines and related proteins in the colon were detected by ELISA and Western blotting. The microbiota in cecum contents were analyzed using 16S rRNA gene sequencing. The results showed that cecropin A and gentamicin relieved body weight loss, DAI, and gut mucosa disruption, while decreasing tumor necrosis factor-α (TNF-α), interlukin-1β (IL-1β), and interlukin-6 (IL-6) induced by DSS. In addition, cecropin A and gentamicin showed different effects on the gut microbiota structure. Both cecropin A and gentamicin decreased DSS-induced enrichment of Bacteroidaceae and Enterobacteriaceae. However, cecropin A showed a selective enrichment of Lactobacillus in contrast to gentamicin, which demonstrated a selective effect on Desulfovibrionaceae and Ruminococcaceae. Cecropin A alleviates IBD through decreasing harmful gut microflora and specifically enhancing beneficial gut microflora. The mechanism of this effect is different from gentamicin.
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Abbott B, Abbott R, Abbott T, Abraham S, Acernese F, Ackley K, Adams C, Adhikari R, Adya V, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Allen G, Allocca A, Aloy M, Altin P, Amato A, Ananyeva A, Anderson S, Anderson W, Angelova S, Antier S, Appert S, Arai K, Araya M, Areeda J, Arène M, Arnaud N, Arun K, Ascenzi S, Ashton G, Aston S, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader M, Bae S, Baker P, Baldaccini F, Ballardin G, Ballmer S, Banagiri S, Barayoga J, Barclay S, Barish B, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell A, Beniwal D, Berger B, Bergmann G, Bernuzzi S, Bero J, Berry C, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Bilenko I, Bilgili S, Billingsley G, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard M, Blackburn J, Blair C, Tasson J, Taylor R, Tenorio R, Thies F, Thomas M, Thomas P, Thondapu S, Thorne K, Thrane E, Tiwari S, Blair D, Tiwari S, Tiwari V, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie C, Töyrä D, Travasso F, Traylor G, Blair R, Tringali M, Trovato A, Trozzo L, Trudeau R, Tsang K, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Bloemen S, Ueno K, Ugolini D, Unnikrishnan C, Urban A, Usman S, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, Bode N, van den Brand J, Van Den Broeck C, Vander-Hyde D, van Heijningen J, van der Schaaf L, van Veggel A, Vardaro M, Varma V, Vass S, Vasúth M, Boer M, Vecchio A, Vedovato G, Veitch J, Veitch P, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets A, Boetzel Y, Vine D, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin S, Wade A, Wade L, Wade M, Bogaert G, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang J, Wang W, Wang Y, Ward R, Bondu F, Warden Z, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein A, Weiss R, Weldon G, Bonilla E, Wellmann F, Wen L, Wessel E, Weßels P, Westhouse J, Wette K, Whelan J, Whiting B, Whittle C, Wilken D, Bonnand R, Williams D, Williamson A, Willis J, Willke B, Wimmer M, Winkler W, Wipf C, Wittel H, Woan G, Woehler J, Booker P, Wofford J, Worden J, Wright J, Wu D, Wysocki D, Xiao L, Yamamoto H, Yancey C, Yang L, Yap M, Boom B, Yazback M, Yeeles D, Yu H, Yu H, Yuen S, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Booth C, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhou M, Zhou Z, Zhu X, Zucker M, Zweizig J, Bork R, Pisarski A, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady P, Bramley A, Branchesi M, Brau J, Briant T, Briggs J, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks A, Brown D, Brunett S, Buikema A, Bulik T, Bulten H, Buonanno A, Buskulic D, Buy C, Byer R, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister T, Calloni E, Camp J, Campbell W, Cannon K, Cao H, Cao J, Capocasa E, Carbognani F, Caride S, Carney M, Carullo G, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chakravarti K, Chamberlin S, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro B, Chen H, Chen X, Chen Y, Cheng HP, Cheong C, Chia H, Chincarini A, Chiummo A, Cho G, Cho H, Cho M, Christensen N, Chu Q, Chua S, Chung K, Chung S, Ciani G, Ciecielag P, Ciobanu A, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark J, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colgan R, Colleoni M, Collette C, Collins C, Cominsky L, Constancio M, Conti L, Cooper S, Corban P, Corbitt T, Cordero-Carrión I, Corley K, Cornish N, Corsi A, Cortese S, Costa C, Cotesta R, Coughlin M, Coughlin S, Coulon JP, Countryman S, Couvares P, Covas P, Cowan E, Coward D, Cowart M, Coyne D, Coyne R, Creighton J, Creighton T, Cripe J, Croquette M, Crowder S, Cullen T, Cumming A, Cunningham L, Cuoco E, Dal Canton T, Dálya G, Danilishin S, D’Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier L, Dattilo V, Dave I, Davier M, Davis D, Daw E, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, DeMarchi L, Demos N, Dent T, De Pietri R, Derby J, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz M, Dietrich T, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Donovan F, Dooley K, Doravari S, Dorosh O, Dorrington I, Downes T, Drago M, Driggers J, Du Z, Ducoin JG, Dupej P, Dwyer S, Easter P, Edo T, Edwards M, Effler A, Ehrens P, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Essick R, Estelles H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr W, Fauchon-Jones E, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer M, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira E, Ferreira T, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher R, Fishner J, Fitz-Axen M, Flaminio R, Fletcher M, Flynn E, Fong H, Font J, Forsyth P, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov V, Fulda P, Fyffe M, Gabbard H, Gadre B, Gaebel S, Gair J, Gammaitoni L, Ganija M, Gaonkar S, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime J, Giardina K, Giazotto A, Gill K, Giordano G, Glover L, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro J, Gopakumar A, Gorodetsky M, Gossan S, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green A, Green R, Gretarsson E, Groot P, Grote H, Grunewald S, Gruning P, Guidi G, Gulati H, Guo Y, Gupta A, Gupta M, Gustafson E, Gustafson R, Haegel L, Halim O, Hall B, Hall E, Hamilton E, Hammond G, Haney M, Hanke M, Hanks J, Hanna C, Hannam M, Hannuksela O, Hanson J, Hardwick T, Haris K, Harms J, Harry G, Harry I, Haskell B, Haster CJ, Haughian K, Hayes F, Healy J, Heidmann A, Heintze M, Heitmann H, Hello P, Hemming G, Hendry M, Heng I, Hennig J, Heptonstall A, Hernandez Vivanco F, Heurs M, Hild S, Hinderer T, Hoak D, Hochheim S, Hofman D, Holgado A, Holland N, Holt K, Holz D, Hopkins P, Horst C, Hough J, Hourihane S, Howell E, Hoy C, Hreibi A, Huerta E, Huet D, Hughey B, Hulko M, Husa S, Huttner S, Huynh-Dinh T, Idzkowski B, Iess A, Ingram C, Inta R, Intini G, Irwin B, Isa H, Isac JM, Isi M, Iyer B, Izumi K, Jacqmin T, Jadhav S, Jani K, Janthalur N, Jaranowski P, Jenkins A, Jiang J, Johnson D, Jones A, Jones D, Jones R, Jonker R, Ju L, Junker J, Kalaghatgi C, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner J, Kapadia S, Karki 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Stuver A, Sudhir V, Summerscales T, Sun L, Sunil S, Suresh J, Sutton P, Swinkels B, Szczepańczyk M, Tacca M, Tait S, Talbot C, Talukder D, Tanner D, Tápai M, Taracchini A. All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.100.024004] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Shen H, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Slaven-Blair TJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Steltner B, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tamanini N, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Ueno K, Ugolini D, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westerweck J, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong WK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yam W, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J. Tests of General Relativity with GW170817. PHYSICAL REVIEW LETTERS 2019; 123:011102. [PMID: 31386391 DOI: 10.1103/physrevlett.123.011102] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 03/21/2019] [Indexed: 06/10/2023]
Abstract
The recent discovery by Advanced LIGO and Advanced Virgo of a gravitational wave signal from a binary neutron star inspiral has enabled tests of general relativity (GR) with this new type of source. This source, for the first time, permits tests of strong-field dynamics of compact binaries in the presence of matter. In this Letter, we place constraints on the dipole radiation and possible deviations from GR in the post-Newtonian coefficients that govern the inspiral regime. Bounds on modified dispersion of gravitational waves are obtained; in combination with information from the observed electromagnetic counterpart we can also constrain effects due to large extra dimensions. Finally, the polarization content of the gravitational wave signal is studied. The results of all tests performed here show good agreement with GR.
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Wang H, Hu C, Cheng C, Cui J, Ji Y, Hao X, Li Q, Ren W, Deng B, Yin Y, Deng J, Tan C. Unraveling the association of fecal microbiota and oxidative stress with stillbirth rate of sows. Theriogenology 2019; 136:131-137. [PMID: 31255919 DOI: 10.1016/j.theriogenology.2019.06.028] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/30/2019] [Accepted: 06/14/2019] [Indexed: 02/02/2023]
Abstract
Previous studies have shown that the composition and function of gut microbiota possibly contribute to the oxidative stress and host metabolism of sows. However, a functional link between gut bacteria with oxidative stress and stillbirth rate of sows remain unclear. To address this issue, the reproductive performance, oxidative stress and gut microbiota of sows with high (H) and low (L) stillbirth rate were analyzed. Results showed that, compared with the H group, the L group had a shorter farrowing duration as well as higher concentration of serum total antioxidant capacity and hydroxyl radical scavenging capacity. For the gut microbiota composition of the tested sows, 6 genera differed between the two groups, 7 genera were correlative with stillbirth rate, and 2 genera were correlated with farrowing duration. The relative abundance of Lachnospiraceae_UCG-001, Marvinbryantia and Ruminococcaceae_UCG-004 were negatively correlated with antioxidant capacity, but positively correlated with the stillbirth rate of sows. Furthermore, the microbiota functions in the polyketide sugar unit biosynthesis and nitrotoluene degradation were found to be different between the two groups through the phylotypic investigation of communities by reconstruction of unobserved states. Collectively, gut microbiota and their functions vary between sows with high or low stillbirth rate, while stillbirth rate and farrowing duration are significantly correlated with the gut microbiota composition and oxidative stress status of sows.
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Li S, Wang K, Hou Z, Yang J, Ren W, Gao S, Meng F, Wu P, Liu B, Liu J, Yan J. OC-0495 Use of radiomics in the recurrence patterns after IMRT for head and neck cancer: a preliminary study. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30915-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Ren W, Liao Y, Ding X, Jiang Y, Yan J, Xia Y, Tan B, Lin Z, Duan J, Jia X, Yang G, Deng J, Zhu C, Hardwidge PR, Li J, Zhu G, Yin Y. Slc6a13 deficiency promotes Th17 responses during intestinal bacterial infection. Mucosal Immunol 2019; 12:531-544. [PMID: 30523310 DOI: 10.1038/s41385-018-0111-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Revised: 09/24/2018] [Accepted: 11/02/2018] [Indexed: 02/04/2023]
Abstract
The γ-amino butyric acid (GABA)ergic system shapes the activation and function of immune cells. The present study was conducted to explore the regulation of GABA transporter (GAT)-2 on the differentiation of Th17 cells. Here we found that Th17 cells show higher abundance of GAT-2, and have distinct cellular metabolic signatures, such as the GABA shunt pathway, as compared to naïve T cells. GAT-2 deficiency had little effect on the metabolic signature in naïve T cells, but impaired the GABA uptake and GABA shunt pathway in Th17 cells. GAT-2 deficiency had little effect on T cell development and peripheral T cell homeostasis; however, its deficiency promoted Th17 cell differentiation in vitro. Mechanistically, GAT-2 deficiency promoted differentiation of Th17 cells through activation of GABA-mTOR signaling. In a mouse model of intestinal infection and inflammation, GAT-2 deficiency promoted Th17 responses. Collectively, GAT-2 deficiency promotes Th17 cell responses through activation of GABA-mTOR signaling.
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Xia Y, Chen S, Zeng S, Zhao Y, Zhu C, Deng B, Zhu G, Yin Y, Wang W, Hardeland R, Ren W. Melatonin in macrophage biology: Current understanding and future perspectives. J Pineal Res 2019; 66:e12547. [PMID: 30597604 DOI: 10.1111/jpi.12547] [Citation(s) in RCA: 112] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 12/26/2018] [Accepted: 12/26/2018] [Indexed: 12/13/2022]
Abstract
Melatonin is a ubiquitous hormone found in various organisms and highly affects the function of immune cells. In this review, we summarize the current understanding of the significance of melatonin in macrophage biology and the beneficial effects of melatonin in macrophage-associated diseases. Enzymes associated with synthesis of melatonin, as well as membrane receptors for melatonin, are found in macrophages. Indeed, melatonin influences the phenotype polarization of macrophages. Mechanistically, the roles of melatonin in macrophages are related to several cellular signaling pathways, such as NF-κB, STATs, and NLRP3/caspase-1. Notably, miRNAs (eg, miR-155/-34a/-23a), cellular metabolic pathways (eg, α-KG, HIF-1α, and ROS), and mitochondrial dynamics and mitophagy are also involved. Thus, melatonin modulates the development and progression of various macrophage-associated diseases, such as cancer and rheumatoid arthritis. This review provides a better understanding about the importance of melatonin in macrophage biology and macrophage-associated diseases.
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Li S, Hou Z, Wang K, Yang J, Ren W, Gao S, Meng F, Wu P, Liu B, Liu J, Yan J. PO-121 Use of radiomics in the recurrence patterns after IMRT for Head and Neck cancer: a preliminary study. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30287-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Ren W, Xia Y, Chen S, Wu G, Bazer FW, Zhou B, Tan B, Zhu G, Deng J, Yin Y. Glutamine Metabolism in Macrophages: A Novel Target for Obesity/Type 2 Diabetes. Adv Nutr 2019; 10:321-330. [PMID: 30753258 PMCID: PMC6416106 DOI: 10.1093/advances/nmy084] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 07/04/2018] [Accepted: 09/27/2018] [Indexed: 12/23/2022] Open
Abstract
Obesity is a nutritional disorder resulting from a chronic imbalance between energy intake and expenditure. This disease is characterized by inflammation in multiple cell types, including macrophages. M1 macrophage responses are correlated with the progression of obesity or diabetes; therefore, strategies that induce repolarization of macrophages from an M1 to an M2 phenotype may be promising for the prevention of obesity- or diabetes-associated pathology. Glutamine (the most abundant amino acid in the plasma of humans and many other mammals including rats) is effective in inducing polarization of M2 macrophages through the glutamine-UDP-N-acetylglucosamine pathway and α-ketoglutarate produced via glutaminolysis, whereas succinate synthesized via glutamine-dependent anerplerosis or the γ-aminobutyric acid shunt promotes polarization of M1 macrophages. Interestingly, patients with obesity or diabetes show altered glutamine metabolism, including decreases in glutamine and α-ketoglutarate concentrations in serum but increases in succinate concentrations. Thus, manipulation of macrophage polarization through glutamine metabolism may provide a potential target for prevention of obesity- or diabetes-associated pathology.
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aubin F, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Beniwal D, Bensch M, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bilenko IA, Bilgili SA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Boetzel Y, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia HY, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Costa CFDS, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Derby J, Dergachev V, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hamilton HF, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Hernandez FJ, Heurs M, Hild S, Hinderer T, Hoak D, Hochheim S, Hofman D, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hreibi A, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Iess A, Indik N, Ingram C, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Johnson DS, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Key JS, Khalili FY, Khamesra B, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li TGF, Li X, Linker SD, Littenberg TB, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Mills J, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagar A, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Ng KY, Ng S, Nguyen P, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Nocera F, Nolting D, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poggiani R, Popolizio P, Porter EK, Possenti L, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Ricker PM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Robson T, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sarin N, Sassolas B, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Shen H, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Slaven-Blair TJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Steltner B, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsuna D, Tsukada L, Tuyenbayev D, Ueno K, Ugolini D, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westerweck J, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong WK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yam W, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Weinberg NN. Constraining the p-Mode-g-Mode Tidal Instability with GW170817. PHYSICAL REVIEW LETTERS 2019; 122:061104. [PMID: 30822067 DOI: 10.1103/physrevlett.122.061104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 10/30/2018] [Indexed: 06/09/2023]
Abstract
We analyze the impact of a proposed tidal instability coupling p modes and g modes within neutron stars on GW170817. This nonresonant instability transfers energy from the orbit of the binary to internal modes of the stars, accelerating the gravitational-wave driven inspiral. We model the impact of this instability on the phasing of the gravitational wave signal using three parameters per star: an overall amplitude, a saturation frequency, and a spectral index. Incorporating these additional parameters, we compute the Bayes factor (lnB_{!pg}^{pg}) comparing our p-g model to a standard one. We find that the observed signal is consistent with waveform models that neglect p-g effects, with lnB_{!pg}^{pg}=0.03_{-0.58}^{+0.70} (maximum a posteriori and 90% credible region). By injecting simulated signals that do not include p-g effects and recovering them with the p-g model, we show that there is a ≃50% probability of obtaining similar lnB_{!pg}^{pg} even when p-g effects are absent. We find that the p-g amplitude for 1.4 M_{⊙} neutron stars is constrained to less than a few tenths of the theoretical maximum, with maxima a posteriori near one-tenth this maximum and p-g saturation frequency ∼70 Hz. This suggests that there are less than a few hundred excited modes, assuming they all saturate by wave breaking. For comparison, theoretical upper bounds suggest ≲10^{3} modes saturate by wave breaking. Thus, the measured constraints only rule out extreme values of the p-g parameters. They also imply that the instability dissipates ≲10^{51} erg over the entire inspiral, i.e., less than a few percent of the energy radiated as gravitational waves.
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Chen S, Tan B, Xia Y, Liao S, Wang M, Yin J, Wang J, Xiao H, Qi M, Bin P, Liu G, Ren W, Yin Y. Effects of dietary gamma-aminobutyric acid supplementation on the intestinal functions in weaning piglets. Food Funct 2019; 10:366-378. [PMID: 30601517 DOI: 10.1039/c8fo02161a] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
This study aims to investigate the effects of dietary gamma-aminobutyric acid (GABA) supplementation on the growth performance, intestinal immunity, intestinal GABAergic system, amino acid profiles and gut microflora of the weaned piglets. Totally sixteen healthy piglets were randomly assigned into two groups to be fed with the basal diet (Con group) or the basal diet with GABA (20 mg kg-1) supplementation. Body weights and feed intakes were monitored weekly. Piglets were sacrificed after 3 weeks of GABA supplementation to collect the blood, ileum, ileal mucosa and luminal content. Immune-associated factors, GABAergic system, amino acid profiles, and microbiota in the ileum and serum amino acid profiles were explored. The results showed that GABA supplementation improved the growth performance and modulated the intestinal immunity with inhibiting the gene expressions of IL-22, proinflammatory cytokines (IL-1 and IL-18), and Muc1, but promoted the expressions of anti-inflammatory cytokines (IFN-γ, IL-4, and IL-10), TLR6 and MyD88. GABA regulated a few components of the intestinal GABAergic system, increased the levels of most amino acids in the ileal mucosa but reduced the serum amino acid profiles. GABA regulated the population and diversity of intestinal microbiota, such as the abundances of the dominant microbial populations, the community richness, and diversity of the ileal microbiota. In conclusion, GABA supplementation modulated the intestinal functions, including intestinal immunity, intestinal amino acid profiles and gut microbiota, and the results can be helpful for understanding the functions of GABA in the intestine.
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Yin J, Ren W, Chen S, Li Y, Han H, Gao J, Liu G, Wu X, Li T, Woo Kim S, Yin Y. Metabolic Regulation of Methionine Restriction in Diabetes. Mol Nutr Food Res 2018; 62:e1700951. [PMID: 29603632 DOI: 10.1002/mnfr.201700951] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 01/25/2018] [Indexed: 12/16/2022]
Abstract
Although the effects of dietary methionine restriction have been investigated in the physiology of aging and diseases related to oxidative stress, the relationship between methionine restriction (MR) and the development of metabolic disorders has not been explored extensively. This review summarizes studies of the possible involvement of dietary methionine restriction in improving insulin resistance, glucose homeostasis, oxidative stress, lipid metabolism, the pentose phosphate pathway (PPP), and inflammation, with an emphasis on the fibroblast growth factor 21 and protein phosphatase 2A signals and autophagy in diabetes. Diets deficient in methionine may be a useful nutritional strategy in patients with diabetes.
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Chen S, Wang M, Yin L, Ren W, Bin P, Xia Y, Liu G, Yang H, Tan B, Yin Y. Effects of dietary tryptophan supplementation in the acetic acid-induced colitis mouse model. Food Funct 2018; 9:4143-4152. [PMID: 30042998 DOI: 10.1039/c8fo01025k] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Inflammatory bowel disease (IBD) is characterized by chronic inflammation of the gastrointestinal tract and is strongly associated with intestinal immunity and the microbiome. Tryptophan (Trp) is an inflammatory inhibitor and modulator of the intestinal microflora. We explored the serum profile of amino acids and the effects of diet supplementation with Trp (1.0 g kg-1) on intestinal immunity and microbiota in the acetic acid-induced colitis mouse model. We analyzed the survival rate, colonic morphological parameters, profiles of serum amino acids, microbiota in colonic contents and the relative gene abundance of intestinal proinflammatory cytokines. Although the dietary Trp supplementation failed to improve the survival rate and ameliorate the morphological parameters of colon in mice with colitis, Trp modulated the general serum amino acid profile by reducing the amino acid profiles of threonine, methionine and proline, affected intestinal immunity by inhibiting the colonic expression of interleukin-22 and changed the microbiota by reducing the abundance of Candidatus, Clostridium and Coprococcus at the genus level. In conclusion, dietary Trp supplementation in a mouse model of colitis did not ameliorate the survival rate and morphological parameters of colon but did modulate the serum amino acid profiles, intestinal immunity and microbiota. These findings enhance our understanding of the roles of Trp in the metabolism of serum amino acids, intestinal immunity and microbiota.
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aubin F, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Beniwal D, Bensch M, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bilenko IA, Bilgili SA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Boetzel Y, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia HY, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Derby J, Dergachev V, De Rosa R, De Rossi C, DeSalvo R, Deutsch AS, de Varona O, Dhurandhar S, Díaz MC, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hamilton HF, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Hernandez FJ, Heurs M, Hild S, Hinderer T, Hoak D, Hochheim S, Hofman D, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hreibi A, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Iess A, Indik N, Ingram C, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Johnson DS, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Key JS, Khalili FY, Khamesra B, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li TGF, Li X, Linker SD, Littenberg TB, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Mills J, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagar A, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Ng KY, Ng S, Nguyen P, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Nocera F, Nolting D, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poggiani R, Popolizio P, Porter EK, Possenti L, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Ricker PM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Robson T, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sarin N, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Shen H, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Slaven-Blair TJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Steltner B, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsuna D, Tsukada L, Tuyenbayev D, Ueno K, Ugolini D, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westerweck J, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong WK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yam W, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zucker ME, Zweizig J, Shandera S. Search for Subsolar-Mass Ultracompact Binaries in Advanced LIGO's First Observing Run. PHYSICAL REVIEW LETTERS 2018; 121:231103. [PMID: 30576173 DOI: 10.1103/physrevlett.121.231103] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Indexed: 05/21/2023]
Abstract
We present the first Advanced LIGO and Advanced Virgo search for ultracompact binary systems with component masses between 0.2 M_{⊙}-1.0 M_{⊙} using data taken between September 12, 2015 and January 19, 2016. We find no viable gravitational wave candidates. Our null result constrains the coalescence rate of monochromatic (delta function) distributions of nonspinning (0.2 M_{⊙}, 0.2 M_{⊙}) ultracompact binaries to be less than 1.0×10^{6} Gpc^{-3} yr^{-1} and the coalescence rate of a similar distribution of (1.0 M_{⊙}, 1.0 M_{⊙}) ultracompact binaries to be less than 1.9×10^{4} Gpc^{-3} yr^{-1} (at 90% confidence). Neither black holes nor neutron stars are expected to form below ∼1 M_{⊙} through conventional stellar evolution, though it has been proposed that similarly low mass black holes could be formed primordially through density fluctuations in the early Universe and contribute to the dark matter density. The interpretation of our constraints in the primordial black hole dark matter paradigm is highly model dependent; however, under a particular primordial black hole binary formation scenario we constrain monochromatic primordial black hole populations of 0.2 M_{⊙} to be less than 33% of the total dark matter density and monochromatic populations of 1.0 M_{⊙} to be less than 5% of the dark matter density. The latter strengthens the presently placed bounds from microlensing surveys of massive compact halo objects (MACHOs) provided by the MACHO and EROS Collaborations.
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Xia Y, Chen S, Zhu G, Huang R, Yin Y, Ren W. Betaine Inhibits Interleukin-1β Production and Release: Potential Mechanisms. Front Immunol 2018; 9:2670. [PMID: 30515160 PMCID: PMC6255979 DOI: 10.3389/fimmu.2018.02670] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Accepted: 10/29/2018] [Indexed: 12/25/2022] Open
Abstract
Betaine is a critical nutrient for mammal health, and has been found to alleviate inflammation by lowering interleukin (IL)-1β secretion; however, the underlying mechanisms by which betaine inhibits IL-1β secretion remain to be uncovered. In this review, we summarize the current understanding about the mechanisms of betaine in IL-1β production and release. For IL-1β production, betaine affects canonical and non-canonical inflammasome-mediated processing of IL-1β through signaling pathways, such as NF-κB, NLRP3 and caspase-8/11. For IL-1β release, betaine inhibits IL-1β release through blocking the exocytosis of IL-1β-containing secretory lysosomes, reducing the shedding of IL-1β-containing plasma membrane microvesicles, suppressing the exocytosis of IL-1β-containing exosomes, and attenuating the passive efflux of IL-1β across hyperpermeable plasma membrane during pyroptotic cell death, which are associated with ERK1/2/PLA2 and caspase-8/A-SMase signaling pathways. Collectively, this review highlights the anti-inflammatory property of betaine by inhibiting the production and release of IL-1β, and indicates the potential application of betaine supplementation as an adjuvant therapy in various inflammatory diseases associating with IL-1β secretion.
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Yin J, Li Y, Han H, Chen S, Gao J, Liu G, Wu X, Deng J, Yu Q, Huang X, Fang R, Li T, Reiter RJ, Zhang D, Zhu C, Zhu G, Ren W, Yin Y. Melatonin reprogramming of gut microbiota improves lipid dysmetabolism in high-fat diet-fed mice. J Pineal Res 2018; 65:e12524. [PMID: 30230594 DOI: 10.1111/jpi.12524] [Citation(s) in RCA: 262] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 08/17/2018] [Accepted: 09/13/2018] [Indexed: 12/13/2022]
Abstract
Melatonin has been shown to improve lipid metabolism and gut microbiota communities in animals and humans; however, it remains to know whether melatonin prevents obesity through gut microbiota. Here, we found that high-fat diet promoted the lipid accumulation and intestinal microbiota dysbiosis in mice, while oral melatonin supplementation alleviated the lipid accumulation and reversed gut microbiota dysbiosis, including the diversity of intestinal microbiota, relative abundances of Bacteroides and Alistipes, and functional profiling of microbial communities, such as energy metabolism, lipid metabolism, and carbohydrate metabolism. Interestingly, melatonin failed to alleviate the high-fat-induced lipid accumulation in antibiotic-treated mice; however, microbiota transplantation from melatonin-treated mice alleviated high-fat diet-induced lipid metabolic disorders. Notably, short-chain fatty acids were decreased in high-fat diet-fed mice, while melatonin treatment improved the production of acetic acid. Correlation analysis found a marked correlation between production of acetic acid and relative abundances of Bacteroides and Alistipes. Importantly, sodium acetate treatment also alleviated high-fat diet-induced lipid metabolic disorders. Taken together, our results suggest that melatonin improves lipid metabolism in high-fat diet-fed mice, and the potential mechanisms may be associated with reprogramming gut microbiota, especially, Bacteroides and Alistipes-mediated acetic acid production. Future studies are needed for patients with metabolic syndrome to fully understand melatonin's effects on body weight and lipid profiles and the potential mechanism of gut microbiota.
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Yan J, Yang J, Ren W, Wang K, Huang B, Wang J, Shen J, Xie L, Liu J, Li S, Bao J, Gao S, Zhou X, Qian X, Liu B. Induction Chemotherapy with Paclitaxel Liposome, Nedaplatin, and Fluorouracil in Patients with Locally Advanced Nasopharyngeal Carcinoma: A Phase II Study. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.1118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aubin F, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Beniwal D, Bensch M, Berger BK, Bergmann G, Bernuzzi S, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bilenko IA, Bilgili SA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Boetzel Y, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Booth CD, Bork R, Boschi V, Bose S, Bossie K, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Briant T, Brighenti F, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Carullo G, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chaibi O, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia HY, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung KW, Chung S, Ciani G, Ciobanu AA, Ciolfi R, Cipriano F, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Collins C, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Derby J, Dergachev V, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Dmitriev A, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Dupej P, Dwyer SE, Easter PJ, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia A, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Giazotto A, Gill K, Giordano G, Glover L, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Green R, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hamilton HF, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Hernandez FJ, Heurs M, Hild S, Hinderer T, Ho WCG, Hoak D, Hochheim S, Hofman D, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hreibi A, Huerta EA, Huet D, Hughey B, Hulko M, Husa S, Huttner SH, Huynh-Dinh T, Iess A, Indik N, Ingram C, Inta R, Intini G, Irwin BS, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Johnson DS, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Key JS, Khalili FY, Khamesra B, Khan H, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Krishnan B, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Landry P, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li J, Li TGF, Li X, Linker SD, Littenberg TB, Liu J, Liu X, Lo RKL, Lockerbie NA, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Mereni L, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller A, Miller BB, Miller J, Millhouse M, Mills J, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nagar A, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Ng KY, Ng S, Nguyen P, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Nocera F, Nolting D, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedersen C, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perego A, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poggiani R, Popolizio P, Porter EK, Possenti L, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Ricci F, Ricker PM, Riemenschneider GM, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Robson T, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sarin N, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Shen H, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Slaven-Blair TJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Steltner B, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tanner DB, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trovato A, Trozzo L, Tsang KW, Tse M, Tso R, Tsuna D, Tsukada L, Tuyenbayev D, Ueno K, Ugolini D, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westerweck J, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong WK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yam W, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zimmerman AB, Zlochower Y, Zucker ME, Zweizig J. GW170817: Measurements of Neutron Star Radii and Equation of State. PHYSICAL REVIEW LETTERS 2018; 121:161101. [PMID: 30387654 DOI: 10.1103/physrevlett.121.161101] [Citation(s) in RCA: 186] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2018] [Revised: 07/25/2018] [Indexed: 06/08/2023]
Abstract
On 17 August 2017, the LIGO and Virgo observatories made the first direct detection of gravitational waves from the coalescence of a neutron star binary system. The detection of this gravitational-wave signal, GW170817, offers a novel opportunity to directly probe the properties of matter at the extreme conditions found in the interior of these stars. The initial, minimal-assumption analysis of the LIGO and Virgo data placed constraints on the tidal effects of the coalescing bodies, which were then translated to constraints on neutron star radii. Here, we expand upon previous analyses by working under the hypothesis that both bodies were neutron stars that are described by the same equation of state and have spins within the range observed in Galactic binary neutron stars. Our analysis employs two methods: the use of equation-of-state-insensitive relations between various macroscopic properties of the neutron stars and the use of an efficient parametrization of the defining function p(ρ) of the equation of state itself. From the LIGO and Virgo data alone and the first method, we measure the two neutron star radii as R_{1}=10.8_{-1.7}^{+2.0} km for the heavier star and R_{2}=10.7_{-1.5}^{+2.1} km for the lighter star at the 90% credible level. If we additionally require that the equation of state supports neutron stars with masses larger than 1.97 M_{⊙} as required from electromagnetic observations and employ the equation-of-state parametrization, we further constrain R_{1}=11.9_{-1.4}^{+1.4} km and R_{2}=11.9_{-1.4}^{+1.4} km at the 90% credible level. Finally, we obtain constraints on p(ρ) at supranuclear densities, with pressure at twice nuclear saturation density measured at 3.5_{-1.7}^{+2.7}×10^{34} dyn cm^{-2} at the 90% level.
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Zhou XW, Jiang J, Ren W, Fei YY, Peng L, Jiang JL, Lan L, Ye SD. [Related factors of diabetic nephropathy in patients with type 1 diabetes mellitus]. ZHONGHUA YI XUE ZA ZHI 2018; 98:2403-2406. [PMID: 30138984 DOI: 10.3760/cma.j.issn.0376-2491.2018.30.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the related factors of diabetic nephropathy in inpatients with type 1 diabetes mellitus (T1DM). Methods: A total of 300 patients with T1DM who were treated in the Department of Endocrinology of Anhui Provincial Hospital between 2014 and 2016 were analyzed retrospectively. All the patients were divided into two groups according to their urine albumin-to-creatinine ratio: non-diabetic nephropathy group (n=193) and diabetic nephropathy group (n=107). Multivariate logistic regression analysis was adopted to analyze the factors related to diabetic nephropathy in T1DM, including the age, diabetic duration, body mass index (BMI) and glycosylated hemoglobin (HbA1c) of the two groups. Results: Age, diabetes duration, HbA1c, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, triglyceride and uric acid (UA) of diabetic nephropathy group were higher than those of non-diabetic nephropathy group (all P<0.05). The total bilirubin, hemoglobin (Hb) and albumin in non-diabetic nephropathy group were higher than those in diabetic nephropathy group (P<0.05). The proportion of women in diabetic nephropathy group was higher than non-diabetic nephropathy group (62.6% vs 42.0%, P=0.001). Multivariate logistic regression analysis showed that diabetes duration (OR=2.142, 95% CI: 1.011-4.539), HbA1c (OR=1.262, 95% CI: 1.090-1.462), DBP (OR=1.048, 95% CI: 1.001-1.096), UA (OR=1.005, 95% CI: 1.001-1.009) and Hb (OR=0.952, 95% CI: 0.929-0.975) were independent related factors for diabetic nephropathy. Conclusions: Positive controlling of blood pressure, blood glucose, hyperuricemia and correcting anemia may reduce the incidence of diabetic nephropathy in T1DM patients.
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Xia Y, Bin P, Liu S, Chen S, Yin J, Liu G, Tang Z, Ren W. Enterotoxigenic Escherichia coli infection promotes apoptosis in piglets. Microb Pathog 2018; 125:290-294. [PMID: 30243552 DOI: 10.1016/j.micpath.2018.09.032] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 09/15/2018] [Accepted: 09/18/2018] [Indexed: 11/18/2022]
Abstract
Enterotoxigenic Escherichia coli (ETEC), as a universal pathogen, often causes diarrhea in animals and humans. However, whether ETEC infection induces apoptosis in host remains controversial. Herein, we use ETEC-infected piglet to investigate apoptosis in the jejunum. Apoptosis and the activation of capase-3 are observed in piglet jejunum after ETEC infection. Additionally, ETEC infection induces the activation of caspase-8 pathway, but inhibits the activation of caspase-9 pathway in piglet jejunum. These findings demonstrate that ETEC infection may inhibit the intrinsic pathway and activate the extrinsic pathway of apoptosis in piglets.
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Li Z, Quan G, Jiang X, Yang Y, Ding X, Zhang D, Wang X, Hardwidge PR, Ren W, Zhu G. Effects of Metabolites Derived From Gut Microbiota and Hosts on Pathogens. Front Cell Infect Microbiol 2018; 8:314. [PMID: 30276161 PMCID: PMC6152485 DOI: 10.3389/fcimb.2018.00314] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 08/16/2018] [Indexed: 12/13/2022] Open
Abstract
Intestinal metabolites participate in various physiological processes, including energy metabolism, cell-to-cell communication, and host immunity. These metabolites mainly originate from gut microbiota and hosts. Although many host metabolites are dominant in intestines, such as free fatty acids, amino acids and vitamins, the metabolites derived from gut microbiota are also essential for intestinal homeostasis. In addition, some metabolites are only generated and released by gut microbiota, such as bacteriocins, short-chain fatty acids, and quorum-sensing autoinducers. In this review, we summarize recent studies regarding the crosstalk between pathogens and metabolites from different sources, including the influence on bacterial development and the activation/inhibition of immune responses of hosts. All of these functions would affect the colonization of and infection by pathogens. This review provides clear ideas and directions for further exploring the regulatory mechanisms and effects of metabolites on pathogens.
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Ding X, Zhang Q, Wang H, Quan G, Zhang D, Ren W, Liao Y, Xia P, Zhu G. The different roles of hcp 1 and hcp 2 of the type VI secretion system in Escherichia coli strain CE129. J Basic Microbiol 2018; 58:938-946. [PMID: 30247772 DOI: 10.1002/jobm.201800156] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 07/28/2018] [Accepted: 07/31/2018] [Indexed: 01/15/2023]
Abstract
Type VI secretion system (T6SS) is a secretory system found in Gram-negative bacteria. One of the main structures for T6SS is Hcp (hemolysin co-regulation protein) pipeline. To investigate the role of Hcp major sub-unit genes hcp1 and hcp2 , we deleted hcp1 and hcp2 genes for constructing the in-frame gene deletion mutants. The properties of biofilm formation and the adhesion to chicken embryo fibroblasts cells (DF1 cells) were reduced in the hcp2 mutant. The knockout of hcp1 and hcp2 genes reduced the ability of the avian pathogenic Escherichia coli (APEC) strain CE129 to infect developing chicken embryos. The expression of quorum sensing (QS)-associated genes luxS, lsrR, and pfs were down-regulated in the hcp1 mutant, and the expression of type 1 fimbriae gene fimA and the adhesion-related genes fimC and papC were decreased in the hcp2 mutant, as well as the expression of anti-serum survival factor genes ompA and iss were inhibited in both hcp1 and hcp2 mutants. These results described above from this study help to further elaborate the role of HCP in APEC.
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Wang H, Ji Y, Yin C, Deng M, Tang T, Deng B, Ren W, Deng J, Yin Y, Tan C. Differential Analysis of Gut Microbiota Correlated With Oxidative Stress in Sows With High or Low Litter Performance During Lactation. Front Microbiol 2018; 9:1665. [PMID: 30154758 PMCID: PMC6103269 DOI: 10.3389/fmicb.2018.01665] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 07/04/2018] [Indexed: 01/01/2023] Open
Abstract
It has been suggested that gut microbiota play a critical role in maternal metabolic oxidative stress responses and offspring growth. However, whether the gut microbiota and oxidative stress status of the sows affect the litter performance during lactation is unclear. A total of 66 Yorkshire sows were identified as high (H) or low (L) litter performance sows based on litter weight at day 21 of lactation. Ten sows per group with similar parity, backfat thickness, and litter weight after cross-foster from the H or L group were collected randomly to analyze the oxidative stress and gut microbiota during lactation. The result showed that the serum total antioxidant capacity was higher in the H group, while 8-hydroxy-deoxyguanosine and thiobarbituric acid reactive substances were lower in the H group at farrowing. Four distinct clusters of bacteria were related to litter performance and reproductive periods of sows. Twelve differentially abundant taxa during gestation and 13 taxa during lactation were identified as potential biomarkers between the H group and the L group. Moreover, the litter performance and the antioxidant capacity of sows were positively correlated with Bacteroides_f__Bacteroidaceae but negatively with Phascolarctobacterium and Streptococcus. In conclusion, this study found that gut microbiota and oxidative stress were significantly correlated with the litter performance of sows during lactation.
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Yin J, Ren W, Huang X, Deng J, Li T, Yin Y. Potential Mechanisms Connecting Purine Metabolism and Cancer Therapy. Front Immunol 2018; 9:1697. [PMID: 30105018 PMCID: PMC6077182 DOI: 10.3389/fimmu.2018.01697] [Citation(s) in RCA: 233] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 07/10/2018] [Indexed: 12/22/2022] Open
Abstract
Unrestricted cell proliferation is a hallmark of cancer. Purines are basic components of nucleotides in cell proliferation, thus impaired purine metabolism is associated with the progression of cancer. The de novo biosynthesis of purine depends on six enzymes to catalyze the conversion of phosphoribosylpyrophosphate to inosine 5'-monophosphate. These enzymes cluster around mitochondria and microtubules to form purinosome, which is a multi-enzyme complex involved in de novo purine biosynthesis and purine nucleotides requirement. In this review, we highlighted the purine metabolism and purinosome biology with emphasis on the therapeutic potential of manipulating of purine metabolism or purinosome in cancers. We also reviewed current advances in our understanding of mammalian target of rapamycin for regulating purinosome formation or purine metabolism in cancers and discussed the future prospects for targeting purinosome to treat cancers.
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Chen S, Xia Y, Zhu G, Yan J, Tan C, Deng B, Deng J, Yin Y, Ren W. Glutamine supplementation improves intestinal cell proliferation and stem cell differentiation in weanling mice. Food Nutr Res 2018; 62:1439. [PMID: 30083086 PMCID: PMC6060183 DOI: 10.29219/fnr.v62.1439] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 06/22/2018] [Accepted: 06/25/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Intestinal stem cells can be differentiated into absorptive enterocytes and secretory cells, including Paneth cells, goblet cells, and enteroendocrine cells. Glutamine is a primary metabolic fuel of small intestinal enterocytes and is essential for the viability and growth of intestinal cells. OBJECTIVE Whether glutamine supplementation affects the differentiation of intestinal stem cells is unknown. DESIGN Three-week-old ICR (Institute of Cancer Research) male mice were divided randomly into two groups: 1) mice receiving a basal diet and normal drinking water and 2) mice receiving a basal diet and drinking water supplemented with glutamine. After 2 weeks, the mice were sacrificed to collect the ileum for analysis. RESULTS The study found that glutamine supplementation in weanling mice decreases the crypt depth in the ileum, leading to higher ratio of villus to crypt in the ileum, but promotes cell proliferation of intestinal cells and mRNA expression of Lgr5 (leucine-rich repeat-containing g-protein coupled receptor5) in the ileum. Glutamine has no effect on the number of Paneth cells and goblet cells, and the expression of markers for absorptive enterocytes, Paneth cells, goblet cells, and enteroendocrine cells. CONCLUSION These findings reveal the beneficial effects of dietary glutamine supplementation to improve intestinal morphology in weanling mammals.
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Tan C, Zhai Z, Ni X, Wang H, Ji Y, Tang T, Ren W, Long H, Deng B, Deng J, Yin Y. Metabolomic Profiles Reveal Potential Factors that Correlate with Lactation Performance in Sow Milk. Sci Rep 2018; 8:10712. [PMID: 30013051 PMCID: PMC6048051 DOI: 10.1038/s41598-018-28793-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 06/25/2018] [Indexed: 12/16/2022] Open
Abstract
Sow milk contains necessary nutrients for piglets; however, the relationship between the levels of metabolites in sow milk and lactation performance has not been thoroughly elucidated to date. In this study, we analysed the metabolites in sow milk from Yorkshire sows with high lactation (HL) or low lactation (LL) performance; these categories were assigned based on the weight gain of piglets during the entire lactation period (D1 to D21). The concentration of milk fat in the colostrum tended to be higher in the HL group (P = 0.05), the level of mannitol was significantly lower in the HL group (P < 0.05) and the level of glucuronic acid lactone was significantly higher in the HL group (P < 0.05) compared to those in LL group. In mature milk, the levels of lactose, creatine, glutamine, glutamate, 4-hydroxyproline, alanine, asparagine, and glycine were significantly higher (P < 0.05) in the HL group than those in LL group. The level of fatty acids showed no significant difference between the two groups in both the colostrum and mature milk. This study suggested that lactation performance may be associated with the levels of lactose and several amino acids in sow milk, and these results can be used to develop new feed additives to improve lactation performance in sows.
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Zhai Z, Ni X, Jin C, Ren W, Li J, Deng J, Deng B, Yin Y. Cecropin A Modulates Tight Junction-Related Protein Expression and Enhances the Barrier Function of Porcine Intestinal Epithelial Cells by Suppressing the MEK/ERK Pathway. Int J Mol Sci 2018; 19:ijms19071941. [PMID: 30004434 PMCID: PMC6073479 DOI: 10.3390/ijms19071941] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 06/26/2018] [Accepted: 06/29/2018] [Indexed: 12/15/2022] Open
Abstract
Inflammatory bowel disease (IBD) in humans and animals is associated with bacterial infection and intestinal barrier dysfunction. Cecropin A, an antimicrobial peptide, has antibacterial activity against pathogenic bacteria. However, the effect of cecropin A on intestinal barrier function and its related mechanisms is still unclear. Here, we used porcine jejunum epithelial cells (IPEC-J2) as a model to investigate the effect and mechanism of cecropin A on intestinal barrier function. We found that cecropin A reduced Escherichia coli (E. coli) adherence to IPEC-J2 cells and downregulated mRNA expression of tumor necrosis factor α (TNF-α), interleukin-6 (IL-6), and interleukin-8 (IL-8). Furthermore, cecropin A elevated the transepithelial electrical resistance (TER) value while reducing the paracellular permeability of the IPEC-J2 cell monolayer barrier. Finally, by using Western blotting, immunofluorescence and pathway-specific antagonists, we demonstrated that cecropin A increased ZO-1, claudin-1 and occludin protein expression and regulated membrane distribution and F-actin polymerization by increasing CDX2 expression. We conclude that cecropin A enhances porcine intestinal epithelial cell barrier function by downregulating the mitogen-activated protein kinase (MEK)/extracellular signal-regulated kinase (ERK) pathway. We suggest that cecropin A has the potential to replace antibiotics in the treatment of IBD due to its antibacterial activity on gram-negative bacteria and its enhancement effect on intestinal barrier function.
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Yang G, Chen S, Deng B, Tan C, Deng J, Zhu G, Yin Y, Ren W. Implication of G Protein-Coupled Receptor 43 in Intestinal Inflammation: A Mini-Review. Front Immunol 2018; 9:1434. [PMID: 29988393 PMCID: PMC6023978 DOI: 10.3389/fimmu.2018.01434] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Accepted: 06/11/2018] [Indexed: 12/27/2022] Open
Abstract
Short chain fatty acids (SCFAs, e.g., acetate, propionate, and butyrate) are a subset of fatty acids that are produced by gut microbiota during the fermentation of dietary fiber. They modulate different processes in the gastrointestinal tract and play various positive roles in mediating the intestinal health. Most beneficial roles of SCFAs in the gastrointestinal tract are mediated by directly activating its receptor, G protein-coupled receptor 43 (GPR43, also known as FFAR2). Various recent studies have demonstrated the role of GPR43 in intestinal inflammatory diseases, such as inflammatory bowel diseases. These SCFAs-mediated regulations of intestinal health are associated with neutrophil chemotaxis, T cell differentiation, activation, and subsequent cytokines production. Therefore, GPR43 could potentially be a drug target for intestinal inflammatory diseases. In this review, we review the current knowledge on the regulatory mechanisms associated with GPR43 in intestinal inflammation. The role of GPR43-mediated regulation of antibody responses is also discussed.
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Xia Y, Li J, Ren W, Feng Z, Huang R, Yin Y. Transcriptomic analysis on responses of the liver and kidney of finishing pigs fed cadmium contaminated rice. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2018; 98:2964-2972. [PMID: 29171875 DOI: 10.1002/jsfa.8793] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Revised: 11/19/2017] [Accepted: 11/21/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND Cadmium (Cd) is a common harmful substance that has many deleterious effects on the liver and kidney. Most reports about Cd toxic studies focused on its inorganic status, whereas the toxicity of Cd in organic materials is less studied. Here, we performed RNA-seq to explore the influences of Cd contaminated rice on function of the liver and kidney of finishing pigs. RESULTS The concentration of Cd in liver and kidney of pigs fed Cd contaminated rice increased by 4.00 and 2.94 times, respectively, compared to those in the control group. With transcriptomic analysis, approximately 4-6 × 107 clean reads were acquired. Five differently expressed genes (DEGs) were identified in the liver, and 12 DEGs in the kidney. SPHK2 was commonly down-regulated. No significantly enriched gene ontology (GO) terms were identified. By Kyoto encyclopaedia of genes and genomes (KEGG) enrichments, four pathways were identified in hepatic tissue, and five pathways in nephritic tissue. Intriguingly, two pathways (sphingolipid metabolism and VEGF signalling pathway) were altered both in the liver and kidney. CONCLUSION Cd contaminated rice may cause liver and kidney damage and inflammation, or even lead to more severe harm to these tissues. © 2017 Society of Chemical Industry.
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Zhao G, He F, Wu C, Li P, Li N, Deng J, Zhu G, Ren W, Peng Y. Betaine in Inflammation: Mechanistic Aspects and Applications. Front Immunol 2018; 9:1070. [PMID: 29881379 PMCID: PMC5976740 DOI: 10.3389/fimmu.2018.01070] [Citation(s) in RCA: 212] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2018] [Accepted: 04/30/2018] [Indexed: 12/12/2022] Open
Abstract
Betaine is known as trimethylglycine and is widely distributed in animals, plants, and microorganisms. Betaine is known to function physiologically as an important osmoprotectant and methyl group donor. Accumulating evidence has shown that betaine has anti-inflammatory functions in numerous diseases. Mechanistically, betaine ameliorates sulfur amino acid metabolism against oxidative stress, inhibits nuclear factor-κB activity and NLRP3 inflammasome activation, regulates energy metabolism, and mitigates endoplasmic reticulum stress and apoptosis. Consequently, betaine has beneficial actions in several human diseases, such as obesity, diabetes, cancer, and Alzheimer's disease.
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Afrough M, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arnaud N, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Berger BK, Bergmann G, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bossie K, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Broida JE, Brooks AF, Brown DA, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia H, Chincarini A, Chiummo A, Chmiel T, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua AJK, Chua S, Chung AKW, Chung S, Ciani G, Ciolfi R, Cirelli CE, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Cocchieri C, Coccia E, Cohadon PF, Cohen D, Colla A, Collette CG, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corley KR, Cornish N, Corsi A, Cortese S, Costa CA, Coughlin E, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, Day B, De S, DeBra D, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, Demos N, Denker T, Dent T, De Pietri R, Dergachev V, De Rosa R, DeRosa RT, De Rossi C, DeSalvo R, de Varona O, Devenson J, Dhurandhar S, Díaz MC, Di Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Pace S, Di Palma I, Di Renzo F, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Douglas R, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Ducrot M, Dupej P, Dwyer SE, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenstein RA, Essick RC, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Finstad D, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fries EM, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard H, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia-Quiros C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gehrels N, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Germain V, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giaime JA, Giardina KD, Giazotto A, Gill K, Glover L, Goetz E, Goetz R, Gomes S, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Grado A, Graef C, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Gretarsson EM, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hanson J, Hardwick T, Harms J, Harry GM, Harry IW, Hart MJ, Haster CJ, Haughian K, Healy J, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Hinderer T, Hoak D, Hofman D, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Houston EA, Howell EJ, Hreibi A, Hu YM, Huerta EA, Huet D, Hughey B, Husa S, Huttner SH, Huynh-Dinh T, Indik N, Inta R, Intini G, Isa HN, Isac JM, Isi M, Iyer BR, Izumi K, Jacqmin T, Jani K, Jaranowski P, Jawahar S, Jiménez-Forteza F, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Karvinen KS, Kasprzack M, Katolik M, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kéfélian F, Keitel D, Kemball AJ, Kennedy R, Kent C, Key JS, Khalili FY, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, Kimbrell SJ, King EJ, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Krämer C, Kringel V, Królak A, Kuehn G, Kumar P, Kumar R, Kumar S, Kuo L, Kutynia A, Kwang S, Lackey BD, Lai KH, Landry M, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lee CH, Lee HK, Lee HM, Lee HW, Lee K, Lehmann J, Lenon A, Leonardi M, Leroy N, Letendre N, Levin Y, Li TGF, Linker SD, Littenberg TB, Liu J, Lo RKL, Lockerbie NA, London LT, Lord JE, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, Machenschalk B, MacInnis M, Macleod DM, Magaña Hernandez I, Magaña-Sandoval F, Magaña Zertuche L, Magee RM, Majorana E, Maksimovic I, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, Mazumder N, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIntyre G, McIver J, McManus DJ, McNeill L, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Meidam J, Mejuto-Villa E, Melatos A, Mendell G, Mercer RA, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller AL, Miller BB, Miller J, Millhouse M, Milovich-Goff MC, Minazzoli O, Minenkov Y, Ming J, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moffa D, Moggi A, Mogushi K, Mohan M, Mohapatra SRP, Montani M, Moore CJ, Moraru D, Moreno G, Morriss SR, Mours B, Mow-Lowry CM, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Napier K, Nardecchia I, Naticchioni L, Nayak RK, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Newport JM, Newton G, Ng KKY, Nguyen TT, Nichols D, Nielsen AB, Nissanke S, Nitz A, Noack A, Nocera F, Nolting D, North C, Nuttall LK, Oberling J, O'Dea GD, Ogin GH, Oh JJ, Oh SH, Ohme F, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston R, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Page J, Page MA, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pal-Singh A, Pan H, Pan HW, Pang B, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Pearlstone BL, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perez CJ, Perreca A, Perri LM, Pfeiffer HP, Phelps M, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Poe M, Poggiani R, Popolizio P, Porter EK, Post A, Powell J, Prasad J, Pratt JWW, Pratten G, Predoi V, Prestegard T, Prijatelj M, Principe M, Privitera S, Prodi GA, Prokhorov LG, Puncken O, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Ren W, Reyes SD, Ricci F, Ricker PM, Rieger S, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano JD, Romano R, Romel CL, Romie JH, Rosińska D, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sadeghian L, Sakellariadou M, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sampson LM, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sandberg V, Sanders JR, Sassolas B, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Scheel M, Scheuer J, Schmidt J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schuette D, Schulte BW, Schutz BF, Schwalbe SG, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sentenac D, Sequino V, Sergeev A, Shaddock DA, Shaffer TJ, Shah AA, Shahriar MS, Shaner MB, Shao L, Shapiro B, Shawhan P, Sheperd A, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sieniawska M, Sigg D, Silva AD, Singer LP, Singh A, Singhal A, Sintes AM, Slagmolen BJJ, Smith B, Smith JR, Smith RJE, Somala S, Son EJ, Sonnenberg JA, Sorazu B, Sorrentino F, Souradeep T, Spencer AP, Srivastava AK, Staats K, Staley A, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sunil S, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Talukder D, Tanner DB, Tao D, Tápai M, Taracchini A, Tasson JD, Taylor JA, Taylor R, Tewari SV, Theeg T, Thies F, Thomas EG, Thomas M, Thomas P, Thorne KA, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Trinastic J, Tringali MC, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tuyenbayev D, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang JZ, Wang WH, Wang YF, Ward RL, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wen L, Wessel EK, Weßels P, Westerweck J, Westphal T, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken D, Williams D, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford J, Wong KWK, Worden J, Wright JL, Wu DS, Wysocki DM, Xiao S, Yamamoto H, Yancey CC, Yang L, Yap MJ, Yazback M, Yu H, Yu H, Yvert M, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang L, Zhang M, Zhang T, Zhang YH, Zhao C, Zhou M, Zhou Z, Zhu SJ, Zhu XJ, Zucker ME, Zweizig J. Search for Tensor, Vector, and Scalar Polarizations in the Stochastic Gravitational-Wave Background. PHYSICAL REVIEW LETTERS 2018; 120:201102. [PMID: 29864331 DOI: 10.1103/physrevlett.120.201102] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 03/30/2018] [Indexed: 06/08/2023]
Abstract
The detection of gravitational waves with Advanced LIGO and Advanced Virgo has enabled novel tests of general relativity, including direct study of the polarization of gravitational waves. While general relativity allows for only two tensor gravitational-wave polarizations, general metric theories can additionally predict two vector and two scalar polarizations. The polarization of gravitational waves is encoded in the spectral shape of the stochastic gravitational-wave background, formed by the superposition of cosmological and individually unresolved astrophysical sources. Using data recorded by Advanced LIGO during its first observing run, we search for a stochastic background of generically polarized gravitational waves. We find no evidence for a background of any polarization, and place the first direct bounds on the contributions of vector and scalar polarizations to the stochastic background. Under log-uniform priors for the energy in each polarization, we limit the energy densities of tensor, vector, and scalar modes at 95% credibility to Ω_{0}^{T}<5.58×10^{-8}, Ω_{0}^{V}<6.35×10^{-8}, and Ω_{0}^{S}<1.08×10^{-7} at a reference frequency f_{0}=25 Hz.
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Ren W, Gao L, Li S, Chen C, Li F, Wang Q, Zhi Y, Song J, Dou Z, Xue L, Zhi K. Virtual Planning and 3D printing modeling for mandibular reconstruction with fibula free flap. Med Oral Patol Oral Cir Bucal 2018; 23:e359-e366. [PMID: 29680849 PMCID: PMC5945234 DOI: 10.4317/medoral.22295] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Accepted: 03/24/2018] [Indexed: 11/26/2022] Open
Abstract
Background This study was to evaluate the use of virtual planning and 3D printing modeling in mandibular reconstruction and compare the operation time and surgical outcome of this technique with conventional method. Material and Methods Between 2014 and 2017, 15 patients underwent vascularized fibula flap mandibular reconstruction using virtual planning and 3D printing modeling. Titanium plates were pre-bent using the models and cutting guides were used for osteotomies. 15 patients who underwent mandibular reconstruction using fibula flap without aid of virtual planning and 3D printing models were selected as control group. The operation time was recorded and compared in two groups. Accuracy of reconstruction was measured by superimposing the preoperative image onto the postoperative image of mandible. The selected bony landmark, distance and angle were measured. Results The mean total operation time and reconstruction time were 1.60±0.37 and 5.54±0.50 hours in computer-assisted group, respectively; These were 2.58±0.45 and 6.54±0.70 hours in conventional group, respectively. Both operation time and reconstruction time were shorter in computer-assisted group. The difference between the preoperative and postoperative intercondylar distances, intergonial angle distances, anteroposterior distances and gonial angles were 2.92±1.15 and 4.48±1.41mm, 2.93±1.19 and 4.79±1.48mm, 4.31±1.24 and 5.61±1.41mm, 3.85±1.68° and 5.88±2.12° in the computer-assisted and conventional group, respectively. The differences between the preoperative and postoperative mandible is smaller in the computer-assisted group. Conclusions Virtual planning and 3D printing modeling have the potential to increase mandibular reconstruction accuracy and reduce operation time. we believe that this technology for mandibular reconstruction in selected patients will become a used method and improve the quality of reconstruction. Key words:Mandibular reconstruction, fibula flap, virtual planning, computer-assisted design, 3D printing.
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Liu G, Yu L, Fang J, Hu CAA, Yin J, Ni H, Ren W, Duraipandiyan V, Chen S, Al-Dhabi NA, Yin Y. Methionine restriction on oxidative stress and immune response in dss-induced colitis mice. Oncotarget 2018; 8:44511-44520. [PMID: 28562346 PMCID: PMC5546498 DOI: 10.18632/oncotarget.17812] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 04/14/2017] [Indexed: 01/20/2023] Open
Abstract
A strong correlation exists between inflammatory bowel disease (IBD) and oxidative stress involving alterations of several key signaling pathways. It is known that methionine promotes reactive oxygen species (ROS) production; we therefore hypothesize that a methionine restriction diet would reduce ROS production, inflammatory responses, and the course of IBD. We generated a murine colitis model by dextran sodium sulfate (DSS) treatment and tested the effects of the methionine restriction diet. Forty-eight mice were randomly divided into four groups of equal size, which included a control (CON) group, an MR (methionine restriction diet) group, a DSS treated group and an MR-DSS treated group. Mice in the first two groups had unrestricted access to water for one week. Mice in the two DSS-treated groups had unrestricted access to 5% DSS solution supplied in the drinking water for the same period. Mice in the CON and DSS groups were given a basal diet, whereas mice in the MR-DSS and MR groups were fed a 0.14% MR diet. We found that DSS reduced daily weight gain, suppressed antioxidant enzyme expression, increased histopathology scores and activated NF-κB and nuclear factor erythroid 2-related factor 2/Kelch-like ECH-associated protein 1 (Nrf2/Keap1) signaling. We also showed that the MR diet upregulated catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GPx) activities, decreased myeloperoxidase (MPO), TNF-α and IL-1β, and reversed activation of the NF-κB signaling pathway in MR-DSS mice. Taken together, our results imply that the MR diet may be considered as an adjuvant in IBD therapeutics.
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Chen S, Bin P, Ren W, Gao W, Liu G, Yin J, Duan J, Li Y, Yao K, Huang R, Tan B, Yin Y. Alpha-ketoglutarate (AKG) lowers body weight and affects intestinal innate immunity through influencing intestinal microbiota. Oncotarget 2018; 8:38184-38192. [PMID: 28465471 PMCID: PMC5503525 DOI: 10.18632/oncotarget.17132] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 04/04/2017] [Indexed: 12/17/2022] Open
Abstract
Alpha-ketoglutarate (AKG), a precursor of glutamate and a critical intermediate in the tricarboxylic acid cycle, shows beneficial effects on intestinal function. However, the influence of AKG on the intestinal innate immune system and intestinal microbiota is unknown. This study explores the effect of oral AKG administration in drinking water (10 g/L) on intestinal innate immunity and intestinal microbiota in a mouse model. Mouse water intake, feed intake and body weight were recorded throughout the entire experiment. The ileum was collected for detecting the expression of intestinal proinflammatory cytokines and innate immune factors by Real-time Polymerase Chain Reaction. Additionally, the ileal luminal contents and feces were collected for 16S rDNA sequencing to analyze the microbial composition. The intestinal microbiota in mice was disrupted with an antibiotic cocktail. The results revealed that AKG supplementation lowered body weight, promoted ileal expression of mammalian defensins of the alpha subfamily (such as cryptdins-1, cryptdins-4, and cryptdins-5) while influencing the intestinal microbial composition (i.e., lowering the Firmicutes to Bacteroidetes ratio). In the antibiotic-treated mouse model, AKG supplementation failed to affect mouse body weight and inhibited the expression of cryptdins-1 and cryptdins-5 in the ileum. We concluded that AKG might affect body weight and intestinal innate immunity through influencing intestinal microbiota.
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Yin J, Ren W, Huang X, Li T, Yin Y. Protein restriction and cancer. Biochim Biophys Acta Rev Cancer 2018; 1869:256-262. [PMID: 29596961 DOI: 10.1016/j.bbcan.2018.03.004] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 03/02/2018] [Accepted: 03/23/2018] [Indexed: 02/07/2023]
Abstract
Protein restriction without malnutrition is currently an effective nutritional intervention known to prevent diseases and promote health span from yeast to human. Recently, low protein diets are reported to be associated with lowered cancer incidence and mortality risk of cancers in human. In murine models, protein restriction inhibits tumor growth via mTOR signaling pathway. IGF-1, amino acid metabolic programing, FGF21, and autophagy may also serve as potential mechanisms of protein restriction mediated cancer prevention. Together, dietary intervention aimed at reducing protein intake can be beneficial and has the potential to be widely adopted and effective in preventing and treating cancers.
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Yin J, Wu M, Li Y, Ren W, Xiao H, Chen S, Li C, Tan B, Ni H, Xiong X, Zhang Y, Huang X, Fang R, Li T, Yin Y. Toxicity assessment of hydrogen peroxide on Toll-like receptor system, apoptosis, and mitochondrial respiration in piglets and IPEC-J2 cells. Oncotarget 2018; 8:3124-3131. [PMID: 27966452 PMCID: PMC5356869 DOI: 10.18632/oncotarget.13844] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 11/24/2016] [Indexed: 12/19/2022] Open
Abstract
In this study, expressions of toll-like receptors (TLRs) and apoptosis-related genes in piglets and mitochondrial respiration in intestinal porcine epithelial cells were investigated after hydrogen peroxide (H2O2) exposure. The in vivo results showed that H2O2 influenced intestinal expressions of TLRs and apoptosis related genes. H2O2 treatment (5% and 10%) downregulated uncoupling protein 2 (UCP2) expression in the duodenum (P < 0.05), while low dosage of H2O2 significantly increased UCP2 expression in the jejunum (P < 0.05). In IPEC-J2 cells, H2O2 inhibited cell proliferation (P < 0.05) and caused mitochondrial dysfunction via reducing maximal respiration, spare respiratory, non-mitochondrial respiratory, and ATP production (P < 0.05). However, 50 uM H2O2 significantly enhanced mitochondrial proton leak (P < 0.05). In conclusion, H2O2 affected intestinal TLRs system, apoptosis related genes, and mitochondrial dysfunction in vivo and in vitro models. Meanwhile, low dosage of H2O2 might exhibit a feedback regulatory mechanism against oxidative injury via increasing UCP2 expression and mitochondrial proton leak.
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Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Afrough M, Agarwal B, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen B, Allen G, Allocca A, Altin PA, Amato A, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arnaud N, Arun KG, Ascenzi S, Ashton G, Ast M, Aston SM, Astone P, Atallah DV, Aufmuth P, Aulbert C, AultONeal K, Austin C, Avila-Alvarez A, Babak S, Bacon P, Bader MKM, Bae S, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Banagiri S, Barayoga JC, Barclay SE, Barish BC, Barker D, Barkett K, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Beer C, Bejger M, Belahcene I, Bell AS, Berger BK, Bergmann G, Bero JJ, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Billman CR, Birch J, Birney R, Birnholtz O, Biscans S, Biscoveanu S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bode N, Boer M, Bogaert G, Bohe A, Bondu F, Bonilla E, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bossie K, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Broida JE, Brooks AF, Brown DA, Brown DD, Brunett S, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister TA, Calloni E, Camp JB, Canepa M, Canizares P, Cannon KC, Cao H, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Carney MF, Diaz JC, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Cerdá-Durán P, Cerretani G, Cesarini E, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase E, Chassande-Mottin E, Chatterjee D, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Chia 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Fiore L, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Pace S, Di Palma I, Di Renzo F, Doctor Z, Dolique V, Donovan F, Dooley KL, Doravari S, Dorrington I, Douglas R, Dovale Álvarez M, Downes TP, Drago M, Dreissigacker C, Driggers JC, Du Z, Ducrot M, Dupej P, Dwyer SE, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Eisenstein RA, Essick RC, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fee C, Fehrmann H, Feicht J, Fejer MM, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Finstad D, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fitz-Axen M, Flaminio R, Fletcher M, Fong H, Font JA, Forsyth PWF, Forsyth SS, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fries EM, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard H, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Ganija MR, Gaonkar SG, Garcia-Quiros 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Z, Zhu SJ, Zhu XJ, Zucker ME, Zweizig J. GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences. PHYSICAL REVIEW LETTERS 2018; 120:091101. [PMID: 29547330 DOI: 10.1103/physrevlett.120.091101] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 01/16/2018] [Indexed: 06/08/2023]
Abstract
The LIGO Scientific and Virgo Collaborations have announced the event GW170817, the first detection of gravitational waves from the coalescence of two neutron stars. The merger rate of binary neutron stars estimated from this event suggests that distant, unresolvable binary neutron stars create a significant astrophysical stochastic gravitational-wave background. The binary neutron star component will add to the contribution from binary black holes, increasing the amplitude of the total astrophysical background relative to previous expectations. In the Advanced LIGO-Virgo frequency band most sensitive to stochastic backgrounds (near 25 Hz), we predict a total astrophysical background with amplitude Ω_{GW}(f=25 Hz)=1.8_{-1.3}^{+2.7}×10^{-9} with 90% confidence, compared with Ω_{GW}(f=25 Hz)=1.1_{-0.7}^{+1.2}×10^{-9} from binary black holes alone. Assuming the most probable rate for compact binary mergers, we find that the total background may be detectable with a signal-to-noise-ratio of 3 after 40 months of total observation time, based on the expected timeline for Advanced LIGO and Virgo to reach their design sensitivity.
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