Effect of selective serotonin reuptake inhibitors on bone mineral density: a systematic review and meta-analysis

Our work is the first systematic meta-analysis to investigate the effect of selective serotonin reuptake inhibitor (SSRI) medication on bone mineral density. Through meta-analyzed 11 studies, our findings suggested that compared with nonusers, use of SSRIs was significantly associated with lumbar spine BMD reduction, particularly for old people. The use of selective serotonin reuptake inhibitors (SSRIs) has already been associated with bone mass loss. Their effects on bone mineral density (BMD) for the different bone sections have, however, thus been inconsistent. Here, we aim to assess the effects of SSRIs on BMD using a meta-analysis. We searched PubMed, Scopus, ISI Web of Knowledge, the Cochrane Library, and PsycINFO for all English-written studies investigating the effects of SSRIs on BMD and published before November 2017. BMD was compared between non-SSRI users and SSRI users using a random-effect model with standardized mean differences (SMD) and 95% confidence intervals (CIs). Furthermore, subgroup analyses were performed based on study design, age, and sex in order to find the origins of high heterogeneity. Eleven studies met the inclusion criteria and were used for the meta-analysis. Our study demonstrated that the use of SSRIs was significantly associated with lower BMD values (SMD - 0.40; 95% CI - 0.79 to 0.00; p = 0.05) and BMD Z-scores (SMD - 0.28; 95% CI - 0.50 to - 0.05; p = 0.02) of the lumbar spine, but not of the total hip and femoral neck. In addition, SSRI use was associated with a greater bone loss in older people. SSRI use is a risk factor of lower BMD of the lumbar spine, especially for older people. Future studies into the relationship between SSRI use and bone metabolism and bone mass need to be conducted with larger sample sizes for both men and women at different bone sites.

Angiotensin receptor blocker vs ACE inhibitor effects on HDL functionality in patients on maintenance hemodialysis

BACKGROUND AND AIMS

Angiotensin receptor blockers (ARB) and angiotensin converting enzyme inhibitors (ACEI) reduce cardiovascular events in the general population. Maintenance hemodialysis (MHD) patients are at high cardiovascular risk but few studies have directly addressed the comparative efficacy of these drugs. MHD disrupts the normally atheroprotective actions of high density lipoprotein (HDL), therefore, we compared ACEI or ARB treatment on HDL functions in MHD.

METHODS AND RESULTS

HDL was isolated at the starting point (pre) and 3-6 months later (post) in 30 MHD randomly assigned to placebo, ramipril or valsartan. Outcomes included cholesterol efflux, inflammatory cytokine response, effects on Toll-like receptors (TLR), superoxide production, methylarginine and serum amyloid A (SAA) levels. HDL from ARB- or ACEI-treated subjects was more effective in maintaining efflux than HDL of placebo. HDL from ARB- or ACEI-treated subjects but not placebo lessened cellular superoxide production. In contrast, neither ARB nor ACEI improved HDL anti-inflammatory effect. Indeed, HDL of ACEI-treated subjects potentiated the cytokine responses in association with activation of TLR but did not alter the HDL content of methylarginines or SAA.

CONCLUSION

Both ACEI and ARB stabilized HDL cholesterol acceptor function and sustained cellular anti-oxidative effects but not anti-inflammatory effects, and ACEI-treatment instead amplified the HDL inflammatory response. The findings reveal possible utility of antagonizing angiotensin actions in MDH and suggest a possible mechanism for superiority of ARB vs ACEI in the setting of advanced kidney disease.

Comparative expression profile of microRNAs and piRNAs in three ruminant species testes using next-generation sequencing

microRNA (miRNA) and piwi-interacting RNA (piRNA) are two classes small non-coding regulatory RNAs that play crucial roles in multiple biological processes such as spermatogenesis. However, there are no published studies on conjoint analysis of miRNA and piRNA profiles among cattle, yak and their interspecies (the dzo) using sequencing technology. Next-generation sequencing technology was used to profile miRNAs and piRNAs among those three ruminants to elucidate their functions. A total of 119, 14 and six differentially expressed miRNAs were obtained in cattle vs. dzo, cattle vs. yak and yak vs. dzo comparison groups, while there were 873, 1,065 and 1,158 differentially expressed piRNAs in those three comparison groups. The expression of three miRNAs was validated in the three ruminants, and the results suggested that the miRNA expression profiles data could represent actual miRNA expression levels. Moreover, the putative targets of differentially expressed miRNAs were predicted by their own genome, it is worth to note that both the cattle and yak genome were used for dzo, then the targets were subjected to GO enrichment and KEGG pathway analysis, revealing the likely roles for these differentially expressed miRNAs in spermatogenesis. In conclusion, this study provided a useful resource for further elucidation of the miRNAs and piRNAs regulatory roles in spermatogenesis. It may also facilitate the development of therapeutic strategies for dzo reproduction research.

Panagiotopoulou E, Panagoulias I, Pandini CE, Panduro Vazquez JG, Pani P, Panitkin S, Pantea D, Paolozzi L, Papadopoulou TD, Papageorgiou K, Paramonov A, Paredes Hernandez D, Parker AJ, Parker MA, Parker KA, Parodi F, Parsons JA, Parzefall U, Pascuzzi VR, Pasner JM, Pasqualucci E, Passaggio S, Pastore F, Pataraia S, Pater JR, Pauly T, Pearce J, Pearson B, Pedersen LE, Pedraza Lopez S, Pedro R, Peleganchuk SV, Penc O, Peng C, Peng H, Penwell J, Peralva BS, Perego MM, Perepelitsa DV, Perini L, Pernegger H, Perrella S, Peschke R, Peshekhonov VD, Peters K, Peters RFY, Petersen BA, Petersen TC, Petit E, Petridis A, Petridou C, Petroff P, Petrolo E, Petrov M, Petrucci F, Pettersson NE, Peyaud A, Pezoa R, Phillips PW, Piacquadio G, Pianori E, Picazio A, Piccaro E, Pickering MA, Piegaia R, Pilcher JE, Pilkington AD, Pin AWJ, Pinamonti M, Pinfold JL, Pirumov H, Pitt M, Plazak L, Pleier MA, Pleskot V, Plotnikova E, Pluth D, Podberezko P, Poettgen R, Poggioli L, Pohl D, Polesello G, Poley A, Policicchio A, Polifka R, Polini A, Pollard CS, Polychronakos V, Pommès K, Pontecorvo L, Pope BG, Popeneciu GA, Poppleton A, Pospisil S, Potamianos K, Potrap IN, Potter CJ, Potter CT, Poulard G, Poveda J, Pozo Astigarraga ME, Pralavorio P, Pranko A, Prell S, Price D, Price LE, Primavera M, Prince S, Prokofiev K, Prokoshin F, Protopopescu S, Proudfoot J, Przybycien M, Puddu D, Puri A, Puzo P, Qian J, Qin G, Qin Y, Quadt A, Quayle WB, Queitsch-Maitland M, Quilty D, Raddum S, Radeka V, Radescu V, Radhakrishnan SK, Radloff P, Rados P, Ragusa F, Rahal G, Raine JA, Rajagopalan S, Rangel-Smith C, Ratti MG, Rauch DM, Rauscher F, Rave S, Ravenscroft T, Ravinovich I, Raymond M, Read AL, Readioff NP, Reale M, Rebuzzi DM, Redelbach A, Redlinger G, Reece R, Reed RG, Reeves K, Rehnisch L, Reichert J, Reiss A, Rembser C, Ren H, Rescigno M, Resconi S, Resseguie ED, Rettie S, Reynolds E, Rezanova OL, Reznicek P, Rezvani R, Richter R, Richter S, Richter-Was E, Ricken O, Ridel M, Rieck P, Riegel CJ, Rieger J, Rifki O, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Ristić B, Ritsch E, Riu I, Rizatdinova F, Rizvi E, Rizzi C, Roberts RT, Robertson SH, Robichaud-Veronneau A, Robinson D, Robinson JEM, Robson A, Roda C, Rodina Y, Rodriguez Perez A, Rodriguez Rodriguez D, Roe S, Rogan CS, Røhne O, Roloff J, Romaniouk A, Romano M, Romano Saez SM, Romero Adam E, Rompotis N, Ronzani M, Roos L, Rosati S, Rosbach K, Rose P, Rosien NA, Rossetti V, Rossi E, Rossi LP, Rosten JHN, Rosten R, Rotaru M, Roth I, Rothberg J, Rousseau D, Rozanov A, Rozen Y, Ruan X, Rubbo F, Rühr F, Ruiz-Martinez A, Rurikova Z, Rusakovich NA, Ruschke A, Russell HL, Rutherfoord JP, Ruthmann N, Ryabov YF, Rybar M, Rybkin G, Ryu S, Ryzhov A, Rzehorz GF, Saavedra AF, Sabato G, Sacerdoti S, Sadrozinski HFW, Sadykov R, Safai Tehrani F, Saha P, Sahinsoy M, Saimpert M, Saito M, Saito T, Sakamoto H, Sakurai Y, Salamanna G, Salazar Loyola JE, Salek D, Sales De Bruin PH, Salihagic D, Salnikov A, Salt J, Salvatore D, Salvatore F, Salvucci A, Salzburger A, Sammel D, Sampsonidis D, Sánchez J, Sanchez Martinez V, Sanchez Pineda A, Sandaker H, Sandbach RL, Sander CO, Sandhoff M, Sandoval C, Sankey DPC, Sannino M, Sansoni A, Santoni C, Santonico R, Santos H, Santoyo Castillo I, Sapp K, Sapronov A, Saraiva JG, Sarrazin B, Sasaki O, Sato K, Sauvan E, Savage G, Savard P, Savic N, Sawyer C, Sawyer L, Saxon J, Sbarra C, Sbrizzi A, Scanlon T, Scannicchio DA, Scarcella M, Scarfone V, Schaarschmidt J, Schacht P, Schachtner BM, Schaefer D, Schaefer L, Schaefer R, Schaeffer J, Schaepe S, Schaetzel S, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Scharf V, Schegelsky VA, Scheirich D, Schernau M, Schiavi C, Schier S, Schillo C, Schioppa M, Schlenker S, Schmidt-Sommerfeld KR, Schmieden K, Schmitt C, Schmitt S, Schmitz S, Schneider B, Schnoor U, Schoeffel L, Schoening A, Schoenrock BD, Schopf E, Schott M, Schouwenberg JFP, Schovancova J, Schramm S, Schuh N, Schulte A, Schultens MJ, Schultz-Coulon HC, Schulz H, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schweiger H, Schwemling P, Schwienhorst R, Schwindling J, Schwindt T, Sciolla G, Scuri F, Scutti F, Searcy J, Seema P, Seidel SC, Seiden A, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Semprini-Cesari N, Serfon C, Serin L, Serkin L, Sessa M, Seuster R, Severini H, Sfiligoj T, Sforza F, Sfyrla A, Shabalina E, Shaikh NW, Shan LY, Shang R, Shank JT, Shapiro M, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shehu CY, Shen Y, Sherwood P, Shi L, Shimizu S, Shimmin CO, Shimojima M, Shirabe S, Shiyakova M, Shlomi J, Shmeleva A, Shoaleh Saadi D, Shochet MJ, Shojaii S, Shope DR, Shrestha S, Shulga E, Shupe MA, Sicho P, Sickles AM, Sidebo PE, Sideras Haddad E, Sidiropoulou O, Sidorov D, Sidoti A, Siegert F, Sijacki D, Silva J, Silverstein SB, Simak V, Simic L, Simion S, Simioni E, Simmons B, Simon M, Sinervo P, Sinev NB, Sioli M, Siragusa G, Siral I, Sivoklokov SY, Sjölin J, Skinner MB, Skubic P, Slater M, Slavicek T, Slawinska M, Sliwa K, Slovak R, Smakhtin V, Smart BH, Smestad L, Smiesko J, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith JW, Smith MNK, Smith RW, Smizanska M, Smolek K, Snesarev AA, Snyder IM, Snyder S, Sobie R, Socher F, Soffer A, Soh DA, Sokhrannyi G, Solans Sanchez CA, Solar M, Soldatov EY, Soldevila U, Solodkov AA, Soloshenko A, Solovyanov OV, Solovyev V, Sommer P, Son H, Song HY, Sopczak A, Sorin V, Sosa D, Sotiropoulou CL, Soualah R, Soukharev AM, South D, Sowden BC, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spettel F, Spieker TM, Spighi R, Spigo G, Spiller LA, Spousta M, St. Denis RD, Stabile A, Stamen R, Stamm S, Stanecka E, Stanek RW, Stanescu C, Stanitzki MM, Stapnes S, Starchenko EA, Stark GH, Stark J, Stark SH, Staroba P, Starovoitov P, Stärz S, Staszewski R, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stewart GA, Stillings JA, Stockton MC, Stoebe M, Stoicea G, Stolte P, Stonjek S, Stradling AR, Straessner A, Stramaglia ME, Strandberg J, Strandberg S, Strandlie A, Strauss M, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Styles NA, Su D, Su J, Suchek S, Sugaya Y, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun S, Sun X, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Sykora I, Sykora T, Ta D, Tackmann K, Taenzer J, Taffard A, Tafirout R, Taiblum N, Takai H, Takashima R, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tanaka J, Tanaka M, Tanaka R, Tanaka S, Tanioka R, Tannenwald BB, Tapia Araya S, Tapprogge S, Tarem S, Tartarelli GF, Tas P, Tasevsky M, Tashiro T, Tassi E, Tavares Delgado A, Tayalati Y, Taylor AC, Taylor GN, Taylor PTE, Taylor W, Teixeira-Dias P, Temple D, Ten Kate H, Teng PK, Teoh JJ, Tepel F, Terada S, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Theveneaux-Pelzer T, Thomas JP, Thomas-Wilsker J, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Tibbetts MJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorova-Nova S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tomlinson L, Tomoto M, Tompkins L, Toms K, Tong B, Tornambe P, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Treado CJ, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trottier-McDonald M, Trovatelli M, Truong L, Trzebinski M, Trzupek A, Tsang KW, Tseng JCL, Tsiareshka PV, Tsipolitis G, Tsirintanis N, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsui KM, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Tupputi SA, Turchikhin S, Turgeman D, Turk Cakir I, Turra R, Tuts PM, Ucchielli G, Ueda I, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Unverdorben C, Urban J, Urquijo P, Urrejola P, Usai G, Usui J, Vacavant L, Vacek V, Vachon B, Valderanis C, Valdes Santurio E, Valencic N, Valentinetti S, Valero A, Valéry L, Valkar S, Vallier A, Valls Ferrer JA, Van Den Wollenberg W, van der Graaf H, van Eldik N, van Gemmeren P, Van Nieuwkoop J, van Vulpen I, van Woerden MC, Vanadia M, Vandelli W, Vanguri R, Vaniachine A, Vankov P, Vardanyan G, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vasquez JG, Vasquez GA, Vazeille F, Vazquez Schroeder T, Veatch J, Veeraraghavan V, Veloce LM, Veloso F, Veneziano S, Ventura A, Venturi M, Venturi N, Venturini A, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vetterli MC, Viaux Maira N, Viazlo O, Vichou I, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Viel S, Vigani L, Villa M, Villaplana Perez M, Vilucchi E, Vincter MG, Vinogradov VB, Vishwakarma A, Vittori C, Vivarelli I, Vlachos S, Vlasak M, Vogel M, Vokac P, Volpi G, Volpi M, von der Schmitt H, von Toerne E, Vorobel V, Vorobev K, Vos M, Voss R, Vossebeld JH, Vranjes N, Vranjes Milosavljevic M, Vrba V, Vreeswijk M, Vuillermet R, Vukotic I, Wagner P, Wagner W, Wahlberg H, Wahrmund S, Wakabayashi J, Walder J, Walker R, Walkowiak W, Wallangen V, Wang C, Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang Q, Wang R, Wang SM, Wang T, Wang W, Wang W, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Washbrook A, Watkins PM, Watson AT, Watson MF, Watts G, Watts S, Waugh BM, Webb AF, Webb S, Weber MS, Weber SW, Weber SA, Webster JS, Weidberg AR, Weinert B, Weingarten J, Weiser C, Weits H, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner MD, Werner P, Wessels M, Whalen K, Whallon NL, Wharton AM, White A, White MJ, White R, Whiteson D, Wickens FJ, Wiedenmann W, Wielers M, Wiglesworth C, Wiik-Fuchs LAM, Wildauer A, Wilk F, Wilkens HG, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf TMH, Wolff R, Wolter MW, Wolters H, Worm SD, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wu M, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xu D, Xu L, Yabsley B, Yacoob S, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamamoto S, Yamanaka T, Yamauchi K, Yamazaki Y, Yan Z, Yang H, Yang H, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Yau Wong KH, Ye J, Ye S, Yeletskikh I, Yildirim E, Yorita K, Yoshihara K, Young C, Young CJS, Youssef S, Yu DR, Yu J, Yu J, Yuan L, Yuen SPY, Yusuff I, Zabinski B, Zacharis G, Zaidan R, Zaitsev AM, Zakharchuk N, Zalieckas J, Zaman A, Zambito S, Zanzi D, Zeitnitz C, Zeman M, Zemla A, Zeng JC, Zeng Q, Zenin O, Ženiš T, Zerwas D, Zhang D, Zhang F, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhao X, Zhao Y, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou C, Zhou L, Zhou M, Zhou M, Zhou N, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zibell A, Zieminska D, Zimine NI, Zimmermann C, Zimmermann S, Zinonos Z, Zinser M, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zou R, zur Nedden M, Zwalinski L. Measurement of the W-boson mass in pp collisions at s = 7 TeV with the ATLAS detector

A measurement of the mass of the W boson is presented based on proton-proton collision data recorded in 2011 at a centre-of-mass energy of 7 TeV with the ATLAS detector at the LHC, and corresponding to 4.6 fb - 1 of integrated luminosity. The selected data sample consists of 7.8 × 10 6 candidates in the W → μ ν channel and 5.9 × 10 6 candidates in the W → e ν channel. The W-boson mass is obtained from template fits to the reconstructed distributions of the charged lepton transverse momentum and of the W boson transverse mass in the electron and muon decay channels, yielding m W = 80370 ± 7 ( stat. ) ± 11 ( exp. syst. ) ± 14 ( mod. syst. ) MeV = 80370 ± 19 MeV , where the first uncertainty is statistical, the second corresponds to the experimental systematic uncertainty, and the third to the physics-modelling systematic uncertainty. A measurement of the mass difference between the W + and W - bosons yields m W + - m W - = - 29 ± 28  MeV.

Panagiotopoulou E, Panagoulias I, Pandini CE, Panduro Vazquez JG, Pani P, Panitkin S, Pantea D, Paolozzi L, Papadopoulou TD, Papageorgiou K, Paramonov A, Paredes Hernandez D, Parker AJ, Parker MA, Parker KA, Parodi F, Parsons JA, Parzefall U, Pascuzzi VR, Pasner JM, Pasqualucci E, Passaggio S, Pastore F, Pataraia S, Pater JR, Pauly T, Pearce J, Pearson B, Pedersen LE, Pedraza Lopez S, Pedro R, Peleganchuk SV, Penc O, Peng C, Peng H, Penwell J, Peralva BS, Perego MM, Perepelitsa DV, Perini L, Pernegger H, Perrella S, Peschke R, Peshekhonov VD, Peters K, Peters RFY, Petersen BA, Petersen TC, Petit E, Petridis A, Petridou C, Petroff P, Petrolo E, Petrov M, Petrucci F, Pettersson NE, Peyaud A, Pezoa R, Phillips PW, Piacquadio G, Pianori E, Picazio A, Piccaro E, Pickering MA, Piegaia R, Pilcher JE, Pilkington AD, Pin AWJ, Pinamonti M, Pinfold JL, Pirumov H, Pitt M, Plazak L, Pleier MA, Pleskot V, Plotnikova E, Pluth D, Podberezko P, Poettgen R, Poggioli L, Pohl D, Polesello G, Poley A, Policicchio A, Polifka R, Polini A, Pollard CS, Polychronakos V, Pommès K, Pontecorvo L, Pope BG, Popeneciu GA, Poppleton A, Pospisil S, Potamianos K, Potrap IN, Potter CJ, Potter CT, Poulard G, Poveda J, Pozo Astigarraga ME, Pralavorio P, Pranko A, Prell S, Price D, Price LE, Primavera M, Prince S, Prokofiev K, Prokoshin F, Protopopescu S, Proudfoot J, Przybycien M, Puddu D, Puri A, Puzo P, Qian J, Qin G, Qin Y, Quadt A, Quayle WB, Queitsch-Maitland M, Quilty D, Raddum S, Radeka V, Radescu V, Radhakrishnan SK, Radloff P, Rados P, Ragusa F, Rahal G, Raine JA, Rajagopalan S, Rangel-Smith C, Ratti MG, Rauch DM, Rauscher F, Rave S, Ravenscroft T, Ravinovich I, Raymond M, Read AL, Readioff NP, Reale M, Rebuzzi DM, Redelbach A, Redlinger G, Reece R, Reed RG, Reeves K, Rehnisch L, Reichert J, Reiss A, Rembser C, Ren H, Rescigno M, Resconi S, Resseguie ED, Rettie S, Reynolds E, Rezanova OL, Reznicek P, Rezvani R, Richter R, Richter S, Richter-Was E, Ricken O, Ridel M, Rieck P, Riegel CJ, Rieger J, Rifki O, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Ristić B, Ritsch E, Riu I, Rizatdinova F, Rizvi E, Rizzi C, Roberts RT, Robertson SH, Robichaud-Veronneau A, Robinson D, Robinson JEM, Robson A, Roda C, Rodina Y, Rodriguez Perez A, Rodriguez Rodriguez D, Roe S, Rogan CS, Røhne O, Roloff J, Romaniouk A, Romano M, Romano Saez SM, Romero Adam E, Rompotis N, Ronzani M, Roos L, Rosati S, Rosbach K, Rose P, Rosien NA, Rossetti V, Rossi E, Rossi LP, Rosten JHN, Rosten R, Rotaru M, Roth I, Rothberg J, Rousseau D, Rozanov A, Rozen Y, Ruan X, Rubbo F, Rühr F, Ruiz-Martinez A, Rurikova Z, Rusakovich NA, Ruschke A, Russell HL, Rutherfoord JP, Ruthmann N, Ryabov YF, Rybar M, Rybkin G, Ryu S, Ryzhov A, Rzehorz GF, Saavedra AF, Sabato G, Sacerdoti S, Sadrozinski HFW, Sadykov R, Safai Tehrani F, Saha P, Sahinsoy M, Saimpert M, Saito M, Saito T, Sakamoto H, Sakurai Y, Salamanna G, Salazar Loyola JE, Salek D, Sales De Bruin PH, Salihagic D, Salnikov A, Salt J, Salvatore D, Salvatore F, Salvucci A, Salzburger A, Sammel D, Sampsonidis D, Sánchez J, Sanchez Martinez V, Sanchez Pineda A, Sandaker H, Sandbach RL, Sander CO, Sandhoff M, Sandoval C, Sankey DPC, Sannino M, Sansoni A, Santoni C, Santonico R, Santos H, Santoyo Castillo I, Sapp K, Sapronov A, Saraiva JG, Sarrazin B, Sasaki O, Sato K, Sauvan E, Savage G, Savard P, Savic N, Sawyer C, Sawyer L, Saxon J, Sbarra C, Sbrizzi A, Scanlon T, Scannicchio DA, Scarcella M, Scarfone V, Schaarschmidt J, Schacht P, Schachtner BM, Schaefer D, Schaefer L, Schaefer R, Schaeffer J, Schaepe S, Schaetzel S, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Scharf V, Schegelsky VA, Scheirich D, Schernau M, Schiavi C, Schier S, Schillo C, Schioppa M, Schlenker S, Schmidt-Sommerfeld KR, Schmieden K, Schmitt C, Schmitt S, Schmitz S, Schneider B, Schnoor U, Schoeffel L, Schoening A, Schoenrock BD, Schopf E, Schott M, Schouwenberg JFP, Schovancova J, Schramm S, Schuh N, Schulte A, Schultens MJ, Schultz-Coulon HC, Schulz H, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schweiger H, Schwemling P, Schwienhorst R, Schwindling J, Schwindt T, Sciolla G, Scuri F, Scutti F, Searcy J, Seema P, Seidel SC, Seiden A, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Semprini-Cesari N, Serfon C, Serin L, Serkin L, Sessa M, Seuster R, Severini H, Sfiligoj T, Sforza F, Sfyrla A, Shabalina E, Shaikh NW, Shan LY, Shang R, Shank JT, Shapiro M, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shehu CY, Shen Y, Sherwood P, Shi L, Shimizu S, Shimmin CO, Shimojima M, Shirabe S, Shiyakova M, Shlomi J, Shmeleva A, Shoaleh Saadi D, Shochet MJ, Shojaii S, Shope DR, Shrestha S, Shulga E, Shupe MA, Sicho P, Sickles AM, Sidebo PE, Sideras Haddad E, Sidiropoulou O, Sidorov D, Sidoti A, Siegert F, Sijacki D, Silva J, Silverstein SB, Simak V, Simic L, Simion S, Simioni E, Simmons B, Simon M, Sinervo P, Sinev NB, Sioli M, Siragusa G, Siral I, Sivoklokov SY, Sjölin J, Skinner MB, Skubic P, Slater M, Slavicek T, Slawinska M, Sliwa K, Slovak R, Smakhtin V, Smart BH, Smestad L, Smiesko J, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith JW, Smith MNK, Smith RW, Smizanska M, Smolek K, Snesarev AA, Snyder IM, Snyder S, Sobie R, Socher F, Soffer A, Soh DA, Sokhrannyi G, Solans Sanchez CA, Solar M, Soldatov EY, Soldevila U, Solodkov AA, Soloshenko A, Solovyanov OV, Solovyev V, Sommer P, Son H, Song HY, Sopczak A, Sorin V, Sosa D, Sotiropoulou CL, Soualah R, Soukharev AM, South D, Sowden BC, Spagnolo S, Spalla M, Spangenberg M, Spanò F, Sperlich D, Spettel F, Spieker TM, Spighi R, Spigo G, Spiller LA, Spousta M, St. Denis RD, Stabile A, Stamen R, Stamm S, Stanecka E, Stanek RW, Stanescu C, Stanitzki MM, Stapnes S, Starchenko EA, Stark GH, Stark J, Stark SH, Staroba P, Starovoitov P, Stärz S, Staszewski R, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stewart GA, Stillings JA, Stockton MC, Stoebe M, Stoicea G, Stolte P, Stonjek S, Stradling AR, Straessner A, Stramaglia ME, Strandberg J, Strandberg S, 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Todorova-Nova S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tomlinson L, Tomoto M, Tompkins L, Toms K, Tong B, Tornambe P, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, Treado CJ, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Tripiana MF, Trischuk W, Trocmé B, Trofymov A, Troncon C, Trottier-McDonald M, Trovatelli M, Truong L, Trzebinski M, Trzupek A, Tsang KW, Tseng JCL, Tsiareshka PV, Tsipolitis G, Tsirintanis N, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsui KM, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tulbure TT, Tuna AN, Tupputi SA, Turchikhin S, Turgeman D, Turk Cakir I, Turra R, Tuts PM, Ucchielli G, Ueda I, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Unverdorben C, Urban J, Urquijo P, Urrejola P, Usai G, Usui J, Vacavant L, Vacek V, Vachon B, Valderanis C, Valdes Santurio E, Valencic N, Valentinetti S, Valero A, Valéry L, Valkar S, Vallier A, Valls Ferrer JA, Van Den Wollenberg W, van der 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Wang C, Wang F, Wang H, Wang H, Wang J, Wang J, Wang Q, Wang R, Wang SM, Wang T, Wang W, Wang W, Wanotayaroj C, Warburton A, Ward CP, Wardrope DR, Washbrook A, Watkins PM, Watson AT, Watson MF, Watts G, Watts S, Waugh BM, Webb AF, Webb S, Weber MS, Weber SW, Weber SA, Webster JS, Weidberg AR, Weinert B, Weingarten J, Weiser C, Weits H, Wells PS, Wenaus T, Wengler T, Wenig S, Wermes N, Werner MD, Werner P, Wessels M, Whalen K, Whallon NL, Wharton AM, White A, White MJ, White R, Whiteson D, Wickens FJ, Wiedenmann W, Wielers M, Wiglesworth C, Wiik-Fuchs LAM, Wildauer A, Wilk F, Wilkens HG, Williams HH, Williams S, Willis C, Willocq S, Wilson JA, Wingerter-Seez I, Winklmeier F, Winston OJ, Winter BT, Wittgen M, Wobisch M, Wolf TMH, Wolff R, Wolter MW, Wolters H, Worm SD, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wu M, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, Xia L, Xu D, Xu L, Yabsley B, Yacoob S, Yamaguchi D, Yamaguchi Y, Yamamoto A, Yamamoto S, Yamanaka T, Yamauchi K, Yamazaki Y, Yan Z, Yang H, Yang H, Yang Y, Yang Z, Yao WM, Yap YC, Yasu Y, Yatsenko E, Yau Wong KH, Ye J, Ye S, Yeletskikh I, Yildirim E, Yorita K, Yoshihara K, Young C, Young CJS, Youssef S, Yu DR, Yu J, Yu J, Yuan L, Yuen SPY, Yusuff I, Zabinski B, Zacharis G, Zaidan R, Zaitsev AM, Zakharchuk N, Zalieckas J, Zaman A, Zambito S, Zanzi D, Zeitnitz C, Zeman M, Zemla A, Zeng JC, Zeng Q, Zenin O, Ženiš T, Zerwas D, Zhang D, Zhang F, Zhang G, Zhang H, Zhang J, Zhang L, Zhang L, Zhang M, Zhang R, Zhang R, Zhang X, Zhang Y, Zhang Z, Zhao X, Zhao Y, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou C, Zhou L, Zhou M, Zhou M, Zhou N, Zhu CG, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zibell A, Zieminska D, Zimine NI, Zimmermann C, Zimmermann S, Zinonos Z, Zinser M, Ziolkowski M, Živković L, Zobernig G, Zoccoli A, Zou R, zur Nedden M, Zwalinski L. Measurement of the W-boson mass in pp collisions at s = 7 TeV with the ATLAS detector

A measurement of the mass of the W boson is presented based on proton-proton collision data recorded in 2011 at a centre-of-mass energy of 7 TeV with the ATLAS detector at the LHC, and corresponding to 4.6 fb - 1 of integrated luminosity. The selected data sample consists of 7.8 × 10 6 candidates in the W → μ ν channel and 5.9 × 10 6 candidates in the W → e ν channel. The W-boson mass is obtained from template fits to the reconstructed distributions of the charged lepton transverse momentum and of the W boson transverse mass in the electron and muon decay channels, yieldingm W = 80370 ± 7 ( stat. ) ± 11 ( exp. syst. ) ± 14 ( mod. syst. ) MeV = 80370 ± 19 MeV , where the first uncertainty is statistical, the second corresponds to the experimental systematic uncertainty, and the third to the physics-modelling systematic uncertainty. A measurement of the mass difference between the W + and W - bosons yieldsm W + - m W - = - 29 ± 28  MeV.

Diffusion tensor imaging in multiple sclerosis at different final outcomes

OBJECTIVES

Methods to evaluate the relative contributions of demyelination vs axonal degeneration over the long-term course of MS are urgently needed. We used magnetic resonance diffusion tensor imaging (DTI) to estimate degrees of demyelination and axonal degeneration in the corpus callosum (CC) in cases of MS with different final outcomes.

MATERIALS AND METHODS

We determined DTI measures mean diffusivity (MD), fractional anisotropy (FA), and axial (AD) and radial (RD) diffusivities in the CC of 31 MS patients, of whom 13 presented a secondary progressive course, 11 a non-progressive course, and seven a monophasic course. The study participants were survivors from an incidence cohort of 254 attack-onset MS patients with 50 years of longitudinal follow-up. As reference, we included five healthy individuals without significant morbidity.

RESULTS

In patients with secondary progression, compared to all other groups, the corpus callosum showed increased RD and reduced FA, but no change in AD. None of the parameters exhibited differences among non-progressive and monophasic course groups and controls.

CONCLUSION

Increased RD was observed in secondary progressive MS, indicating significant myelin loss. Normal RD values observed in the clinically isolated syndrome and non-progressive groups confirm their benign nature. AD was not a characterizing parameter for long-term outcome. Demyelination revealed by increased RD is a distinguishing trait for secondary progression.

[Postoperative complications following dental rehabilitation under general anesthesia in children]

Objective: To assess the postoperative complications in systemically healthy children treated for dental caries under general anesthesia (GA) after discharge and analysis of the correlative factors. Methods: This prospective observational study included 124 children aged 2-8 years old who received extensive dental treatment under GA. General conditions and treatment information were obtained from questionnaires filled by the dentist and the anesthesiologist. Postoperative data were collected from a questionnaire filled by the parents in one week. Pain was assessed by using the dental discomfort questionnaire-8 (DDQ-8) pain assessment scale. Results: The mean anesthesia time for GA procedures was 102.6 min and the mean number of treated teeth was 13.5. Approximately 66.9% (83/124) of the children had one or more postoperative complaints on the first day after the treatments. The most common complaints reported were cough, hoarseness, and dental pain followed by throat discomfort, problems in eating, swelling, weakness, sleepiness, vomiting, fever and nausea. By the seventh day after the treatment, the main complications remained were dental pain and cough, while most of other symptoms disappeared. Preoperative DDQ-8 score and the number of extracted teeth were the factors that showed a significant association with postoperative dental pain on the first day. Conclusions: Dental pain and pharynx discomfort were most frequently noted postoperative symptoms. Postoperative dental discomfort on the first day might be predicted by dental pain before GA and tooth extraction under GA.

Thrombin-activatable fibrinolysis inhibitor in human abdominal aortic aneurysm disease

Essentials Patients with abdominal aortic aneurysms (AAA) develop dense clots that are resistant to lysis. This study explores the role of thrombin-activatable fibrinolysis inhibitor (TAFI) in human AAA. There is evidence of chronically increased TAFI activation in patients with AAA. TAFI may represent a pharmacological target for cardiovascular risk reduction in AAA.

SUMMARY

Background Intra-luminal thrombosis is a key factor in growth of abdominal aortic aneurysms (AAAs). Patients with AAA form dense clots that are resistant to fibrinolysis. Thrombin-activatable fibrinolysis inhibitor (TAFI) has been shown to influence AAA development in murine models. Objective The aim of this study is to characterize the role of TAFI in human AAA. Methods Plasma levels of TAFI, TAFI activation peptide (TAFI-AP), activated/inactivated TAFI (TAFIa/ai) and plasmin-α2-antiplasmin complex were measured by ELISAs in patients with AAA (n = 202) and controls (n = 188). Results TAFIa/ai and TAFI-AP levels were higher in patients than controls (median [IQR], 20.3 [14.6-32.8] ng mL-1 vs. 14.2 [11.2-19.3] ng mL-1 and 355.0 [232.4-528.1] ng mL-1 vs. 248.6 [197.1-328.1] ng mL-1 ). TAFIa/ai was positively correlated with TAFI-AP (r = 0.164). Intact TAFI levels were not different between patients and controls (13.4 [11.2-16.1] μg mL-1 vs. 12.8 [10.6-15.4] μg mL-1 ). Plasmin-α2-antiplasmin was higher in AAA patients than controls (690.0 [489.1-924.3] ng mL-1 vs. 480.7 [392.6-555.3] ng mL-1 ). Conclusions The increase in TAFIa/ai and TAFI-AP suggests an increased TAFI activation in patients with AAA. Prospective studies are required to further elucidate the role of TAFI and fibrinolysis in AAA pathogenesis.

[Analysis of infection and drug-resistance in 6 107 cases of extrapulmonary tuberculosis in Chengdu area]

Objective: To analyze the infection and drug resistance of extrapulmonary tuberculosis, in order to provide useful references for prevention and treatment of tuberculosis (TB). Methods: A total of 6 107 suspected cases of extrapulmonary tuberculosis, including lymph node, pleural, peritoneal, meningeal, urinary tract, and bone tuberculosis, were collected retrospectively from January 2013 to December 2015 in Public Health Clinical Center of Chengdu. There were 4 033 male and 2 074 female patients, and the average age was 37 years.The epidemiological data, infection and drug resistance were analyzed statistically. Results: There were 21 036 cases of mycobacterial culture from January 2013 to December 2015, of which 7 119 were positive(33.8%). Extrapulmonary tuberculosis was found in 6 107 cases, of which 896 were positive, accounting for 12.6% of the positive cases(896/7 119). Culture-positive cases of extra-pulmonary tuberculosis showed a rising trend from 2013 to 2015 (n=174, 310, 421, respectively), and the annual average increasing rate was over 50%.Cases were distributed at younger ages (21-40 years), with an average age of 34 years.There were more male patients, with a male to female ratio of 2.1∶1. The most common site of extrapulmonary tuberculosis was the bone(62/243, 25.5%), followed by lymph node(283/1 297, 21.8%), pleural(289/1 840, 15.7%), urinary tract(63/452, 13.9%), peritoneum(41/303, 13.5%), meningeal(156/1 915, 8.1%)and other types of tuberculosis(2/57, 3.5%). Drug sensitivity test of 896 extrapulmonary tuberculosis strains showed that the resistance rate (from high to low) was in the order of isoniazid, rifampicin, streptomycin, ofloxacin, ciprofloxacin, amikacin, capreomycin and ethambutol. Multidrug-resistant(MDR)and extremely-drug resistant (XDR) rate was 9.7 %(87/896)and 2.0%(17/896)respectively. Conclusions: Cases of extrapulmonary tuberculosis sent for bacterial culture and the positive rate showed a rising trend by years in Chengdu area.The drug resistance level was higher than that reported both in China and abroad.The prevention and treatment of extrapulmonary tuberculosis should be strengthened in this area.

Fiducial, total and differential cross-section measurements of t-channel single top-quark production in pp collisions at 8 TeV using data collected by the ATLAS detector

Detailed measurements of t-channel single top-quark production are presented. They use 20.2 fb[Formula: see text] of data collected by the ATLAS experiment in proton-proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of 5.8% (top quark) and 7.8% (top antiquark), respectively. The total cross-sections are measured to be [Formula: see text] for top-quark production and [Formula: see text] for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be [Formula: see text]. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the t-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available.

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

The reconstruction of the signal from hadrons and jets emerging from the proton-proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.

Measurements of electroweak [Formula: see text] production and constraints on anomalous gauge couplings with the ATLAS detector

Measurements of the electroweak production of a W boson in association with two jets at high dijet invariant mass are performed using [Formula: see text] 7 and 8 [Formula: see text] proton-proton collision data produced by the Large Hadron Collider, corresponding respectively to 4.7 and 20.2 fb[Formula: see text] of integrated luminosity collected by the ATLAS detector. The measurements are sensitive to the production of a W boson via a triple-gauge-boson vertex and include both the fiducial and differential cross sections of the electroweak process.

Jet reconstruction and performance using particle flow with the ATLAS Detector

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb[Formula: see text] of ATLAS data from 8 TeV proton-proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to charged hadrons from consideration during jet reconstruction, instead using measurements of their momenta from the inner tracker. This improves the accuracy of the charged-hadron measurement, while retaining the calorimeter measurements of neutral-particle energies. The paper places emphasis on how this is achieved, while minimising double-counting of charged-hadron signals between the inner tracker and calorimeter. The performance of particle flow jets, formed from the ensemble of signals from the calorimeter and the inner tracker, is compared to that of jets reconstructed from calorimeter energy deposits alone, demonstrating improvements in resolution and pile-up stability.

Measurement of jet fragmentation in Pb+Pb and pp collisions at sNN=2.76 TeV with the ATLAS detector at the LHC

The distributions of transverse momentum and longitudinal momentum fraction of charged particles in jets are measured in Pb+Pb and pp collisions with the ATLAS detector at the LHC. The distributions are measured as a function of jet transverse momentum and rapidity. The analysis utilises an integrated luminosity of 0.14 nb - 1 of Pb+Pb data and 4.0 pb - 1 of pp data collected in 2011 and 2013, respectively, at the same centre-of-mass energy of 2.76 TeV per colliding nucleon pair. The distributions measured in pp collisions are used as a reference for those measured in Pb+Pb collisions in order to evaluate the impact on the internal structure of jets from the jet energy loss of fast partons propagating through the hot, dense medium created in heavy-ion collisions. Modest but significant centrality-dependent modifications of fragmentation functions in Pb+Pb collisions with respect to those in pp collisions are seen. No significant dependence of modifications on jet p T and rapidity selections is observed except for the fragments with the highest transverse momenta for which some reduction of yields is observed for more forward jets.