PPARalpha deficiency reduces insulin resistance and atherosclerosis in apoE-null mice

PPARalpha is a ligand-dependent transcription factor expressed at high levels in the liver. Its activation by the drug gemfibrozil reduces clinical events in humans with established atherosclerosis, but the underlying mechanisms are incompletely defined. To clarify the role of PPARalpha in vascular disease, we crossed PPARalpha-null mice with apoE-null mice to determine if the genetic absence of PPARalpha affects vascular disease in a robust atherosclerosis model. On a high-fat diet, concentrations of atherogenic lipoproteins were higher in PPARalpha(-/-)apoE(-/-) than in PPARalpha(+/+)apoE(-/-) mice, due to increased VLDL production. However, en face atherosclerotic lesion areas at the aortic arch, thoracic aorta, and abdominal aorta were less in PPARalpha-null animals of both sexes after 6 and 10 weeks of high-fat feeding. Despite gaining as much or more weight than their PPARalpha(+/+)apoE(-/-) littermates, PPARalpha(-/-)apoE(-/-) mice had lower fasting levels of glucose and insulin. PPARalpha-null animals had greater suppression of endogenous glucose production in hyperinsulinemic clamp experiments, reflecting less insulin resistance in the absence of PPARalpha. PPARalpha(-/-)apoE(-/-) mice also had lower blood pressures than their PPARalpha(+/+)apoE(-/-) littermates after high-fat feeding. These results suggest that PPARalpha may participate in the pathogenesis of diet-induced insulin resistance and atherosclerosis.

Preoperative combined modality therapy for clinically resectable uT3 rectal adenocarcinoma

PURPOSE

To determine the acute toxicity, outcome, and sphincter preservation rates in patients with clinically resectable uT3 adenocarcinoma of the rectum treated with preoperative combined modality therapy.

METHODS AND MATERIALS

A total of 72 patients were treated from 12/90-7/98 with preoperative 50.4 Gy plus 2 cycles of concurrent 5-fluorouracil (5-FU) and leucovorin (LV) bolus daily x 5 followed by sharp or total mesorectal excision and 4 cycles of postoperative 5-FU and LV.

RESULTS

Individual Grade 3+ toxicities during preoperative therapy included diarrhea, 11%; bowel movements, 9%; leukopenia, 18%; tenesmus, 1%; and thrombocytopenia, 1%. Total Grade 3+ toxicity was 28%. The pathologic complete response (CR) rate was 13%, and an additional 9% had a clinical CR for a total CR rate of 22%. Of the 35 patients who were judged clinically by their operating surgeon to require an abdominoperineal resection (APR) and were therefore treated with the goal of sphincter preservation, 89% were able to undergo sphincter-preserving surgery. Of the 21 patients eligible for analysis, 81% had good to excellent sphincter function. The 3-year actuarial patterns of failure were 2% local, 8% abdominal, and 13% distant. The 3-year actuarial survival was 95%.

CONCLUSIONS

Our data confirm our preliminary reports of encouraging rates of acute toxicity, local control, survival, sphincter preservation and function with preoperative combined modality therapy. It is an alternative approach for the treatment of uT3 clinically resectable rectal cancer.

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, Pasqualucci E, Passaggio S, Pastore F, Pásztor G, Pataraia S, Pater JR, Pauly T, Pearce J, Pearson B, Pedersen LE, Pedersen M, Pedraza Lopez S, Pedro R, Peleganchuk SV, Penc O, Peng C, Peng H, Penwell J, Peralva BS, Perego MM, Perepelitsa DV, Perez Codina E, 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, Piccinini M, Pickering MA, Piegaia R, Pilcher JE, Pilkington AD, Pin AWJ, Pinamonti M, Pinfold JL, Pingel A, Pires S, Pirumov H, Pitt M, Plazak L, Pleier MA, Pleskot V, Plotnikova E, Pluth D, Poettgen R, 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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, 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, Ros E, 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, Rudolph MS, 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 T, Sakamoto H, Sakurai Y, Salamanna G, Salamon A, 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, 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, Schreyer M, 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, Seifert F, Seixas JM, Sekhniaidze G, Sekhon K, Sekula SJ, Seliverstov DM, 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, Sherwood P, Shi L, Shimizu S, Shimmin CO, Shimojima M, Shirabe S, Shiyakova M, 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 D, Simon M, Sinervo P, Sinev NB, Sioli M, Siragusa G, Sivoklokov SY, Sjölin J, Skinner MB, Skottowe HP, 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, Sood A, Sopczak A, Sopko V, 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, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark GH, Stark J, 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, Sundermann JE, Suruliz K, Suster CJE, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Swift SP, Sykora I, Sykora T, Ta D, Taccini C, Tackmann K, Taenzer J, Taffard A, Tafirout R, Taiblum N, Takai H, Takashima R, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tan KG, 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, Teischinger FA, Teixeira-Dias P, Temming KK, 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, Todorov T, 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, 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, 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, Valery L, Valkar S, Valls Ferrer JA, Van Den Wollenberg W, Van Der Deijl PC, 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, 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, Vest A, Vetterli MC, 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, 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 K, Wang R, Wang SM, Wang T, 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 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, Wetter J, 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, Wolf TMH, Wolff R, Wolter MW, Wolters H, Worm SD, Wosiek BK, Wotschack J, Woudstra MJ, Wozniak KW, Wu M, Wu M, Wu SL, Wu X, Wu Y, Wyatt TR, Wynne BM, Xella S, Xi Z, 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, Yoshida R, Yoshihara K, Young C, Young CJS, Youssef S, Yu DR, Yu J, Yu JM, Yu J, Yuan L, Yuen SPY, Yusuff I, Zabinski B, Zacharis G, Zaidan R, Zaitsev AM, Zakharchuk N, Zalieckas J, Zaman A, Zambito S, Zanello L, 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 Z, Zhao X, Zhao Y, Zhao Z, Zhemchugov A, Zhong J, Zhou B, Zhou C, Zhou L, Zhou L, 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, zur Nedden M, Zwalinski L. Performance of the ATLAS trigger system in 2015

During 2015 the ATLAS experiment recorded [Formula: see text] of proton-proton collision data at a centre-of-mass energy of [Formula: see text]. The ATLAS trigger system is a crucial component of the experiment, responsible for selecting events of interest at a recording rate of approximately 1 kHz from up to 40 MHz of collisions. This paper presents a short overview of the changes to the trigger and data acquisition systems during the first long shutdown of the LHC and shows the performance of the trigger system and its components based on the 2015 proton-proton collision data.

The genetic basis for ecological adaptation of the Atlantic herring revealed by genome sequencing

Ecological adaptation is of major relevance to speciation and sustainable population management, but the underlying genetic factors are typically hard to study in natural populations due to genetic differentiation caused by natural selection being confounded with genetic drift in subdivided populations. Here, we use whole genome population sequencing of Atlantic and Baltic herring to reveal the underlying genetic architecture at an unprecedented detailed resolution for both adaptation to a new niche environment and timing of reproduction. We identify almost 500 independent loci associated with a recent niche expansion from marine (Atlantic Ocean) to brackish waters (Baltic Sea), and more than 100 independent loci showing genetic differentiation between spring- and autumn-spawning populations irrespective of geographic origin. Our results show that both coding and non-coding changes contribute to adaptation. Haplotype blocks, often spanning multiple genes and maintained by selection, are associated with genetic differentiation.

On the stability analysis of delayed neural networks systems

In this paper, the problems of stability of delayed neural networks are investigated, including the stability of discrete and distributed delayed neural networks. Under the generalization of dropping the Lipschitzian hypotheses for output functions, some stability criteria are obtained by using the Liapunov functional method. We do not assume the symmetry of the connection matrix and we establish that the system admits a unique equilibrium point in which the output functions do not satisfy the Lipschitz conditions and do not require them to be differential or strictly monotonously increasing. These criteria can be used to analyze the dynamics of biological neural systems or to design globally stable artificial neural networks.

Association between Oral Candida and Bacteriome in Children with Severe ECC

Candida albicans is an opportunistic fungal organism frequently detected in the oral cavity of children with severe early childhood caries (S-ECC). Previous studies suggested the cariogenic potential of C. albicans, in vitro and in vivo, and further demonstrated its synergistic interactions with Streptococcus mutans. In combination, the 2 organisms are associated with higher caries severity in a rodent model. However, it remains unknown whether C. albicans influences the composition and diversity of the entire oral bacterial community to promote S-ECC onset. With 16s rRNA amplicon sequencing, this study analyzed the microbiota of saliva and supragingival plaque from 39 children (21 S-ECC and 18 caries-free [CF]) and 33 mothers (17 S-ECC and 16 CF). The results revealed that the presence of oral C. albicans is associated with a highly acidogenic and acid-tolerant bacterial community in S-ECC, with an increased abundance of plaque Streptococcus (particularly S. mutans) and certain Lactobacillus/Scardovia species and salivary/plaque Veillonella and Prevotella, as well as decreased levels of salivary/plaque Actinomyces. Concurrent with this microbial community assembly, the activity of glucosyltransferases (cariogenic virulence factors secreted by S. mutans) in plaque was significantly elevated when C. albicans was present. Moreover, the oral microbial community composition and diversity differed significantly by disease group (CF vs. S-ECC) and sample source (saliva vs. plaque). Children and mothers within the CF and S-ECC groups shared microbiota composition and diversity, suggesting a strong maternal influence on children's oral microbiota. Altogether, this study underscores the importance of C. albicans in association with the oral bacteriome in the context of S-ECC etiopathogenesis. Further longitudinal studies are warranted to examine how fungal-bacterial interactions modulate the onset and severity of S-ECC, potentially leading to novel anticaries treatments that address fungal contributions.

Validation of the simplified Chinese version of EORTC QLQ-C30 from the measurements of five types of inpatients with cancer

BACKGROUND

European Organization for Research and Treatment quality of life (QOL) questionnaire (QLQ-C30) has been used frequently and many language versions have been developed, including the simplified Chinese version. It is important to study psychometric properties of the simplified Chinese version from the clinical standpoint.

PATIENTS AND METHODS

The simplified Chinese version of the QLQ-C30 was used in a longitudinal study of 600 patients with five types of cancer: lung, breast, head and neck, colorectal, and stomach. The psychometric properties of the scale were evaluated by indicators of validity and reliability coefficients such as Cronbach's alpha and Pearson's correlation coefficient r, standardized response mean (SRM), correlational analysis, t-tests, and structural equation models.

RESULTS

Correlation and structural equation model analyses confirmed good construct validity with root mean square error of approximation 0.054, standardized root mean square residual 0.037, non-normed fit index 0.972, and comparative fit index 0.980. The alpha coefficients for all domains are >0.7 except for cognitive functioning (0.49). The test-retest reliability coefficients for most domains are >0.80 except for appetite loss (0.77) and diarrhea (0.75). The QOL score changes after treatments were of statistical significance with higher or moderate SRM in most domains.

CONCLUSION

The simplified Chinese version of QLQ-C30 has good validity, reliability, and responsiveness and can be used to measure QOL for Chinese cancer patients.

The Rose-comb mutation in chickens constitutes a structural rearrangement causing both altered comb morphology and defective sperm motility

Rose-comb, a classical monogenic trait of chickens, is characterized by a drastically altered comb morphology compared to the single-combed wild-type. Here we show that Rose-comb is caused by a 7.4 Mb inversion on chromosome 7 and that a second Rose-comb allele arose by unequal crossing over between a Rose-comb and wild-type chromosome. The comb phenotype is caused by the relocalization of the MNR2 homeodomain protein gene leading to transient ectopic expression of MNR2 during comb development. We also provide a molecular explanation for the first example of epistatic interaction reported by Bateson and Punnett 104 years ago, namely that walnut-comb is caused by the combined effects of the Rose-comb and Pea-comb alleles. Transient ectopic expression of MNR2 and SOX5 (causing the Pea-comb phenotype) occurs in the same population of mesenchymal cells and with at least partially overlapping expression in individual cells in the comb primordium. Rose-comb has pleiotropic effects, as homozygosity in males has been associated with poor sperm motility. We postulate that this is caused by the disruption of the CCDC108 gene located at one of the inversion breakpoints. CCDC108 is a poorly characterized protein, but it contains a MSP (major sperm protein) domain and is expressed in testis. The study illustrates several characteristic features of the genetic diversity present in domestic animals, including the evolution of alleles by two or more consecutive mutations and the fact that structural changes have contributed to fast phenotypic evolution.

Denis RD, Stabile A, Stamen R, Stamm S, Stanecka E, Stanek RW, Stanescu C, Stanescu-Bellu M, Stanitzki MM, Stapnes S, Starchenko EA, Stark GH, Stark J, 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, Subramaniam R, Suchek S, Sugaya Y, Suk M, Sulin VV, Sultansoy S, Sumida T, Sun S, Sun X, Sundermann JE, Suruliz K, Susinno G, Sutton MR, Suzuki S, Svatos M, Swiatlowski M, Sykora I, Sykora T, Ta D, Taccini C, Tackmann K, Taenzer J, Taffard A, Tafirout R, Taiblum N, Takai H, Takashima R, Takeshita T, Takubo Y, Talby M, Talyshev AA, Tam JYC, Tan KG, Tanaka J, Tanaka R, Tanaka S, 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, Teischinger FA, Teixeira-Dias P, Temming KK, 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 EN, Thompson PD, Thompson AS, Thomsen LA, Thomson E, Thomson M, Tibbetts MJ, Ticse Torres RE, Tikhomirov VO, Tikhonov YA, Timoshenko S, Tipton P, Tisserant S, Todome K, Todorov T, Todorova-Nova S, Tojo J, Tokár S, Tokushuku K, Tolley E, Tomlinson L, Tomoto M, Tompkins L, Toms K, Tong B, Torrence E, Torres H, Torró Pastor E, Toth J, Touchard F, Tovey DR, 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, Tseng JCL, Tsiareshka PV, Tsipolitis G, Tsirintanis N, Tsiskaridze S, Tsiskaridze V, Tskhadadze EG, Tsui KM, Tsukerman II, Tsulaia V, Tsuno S, Tsybychev D, Tudorache A, Tudorache V, Tuna AN, Tupputi SA, Turchikhin S, Turecek D, Turgeman D, Turra R, Turvey AJ, Tuts PM, Tyndel M, Ucchielli G, Ueda I, Ueno R, Ughetto M, Ukegawa F, Unal G, Undrus A, Unel G, Ungaro FC, Unno Y, Unverdorben C, Urban J, Urquijo P, Urrejola P, Usai G, Usanova A, Vacavant L, Vacek V, Vachon B, Valderanis C, Valdes Santurio E, Valencic N, Valentinetti S, Valero A, Valery L, Valkar S, Vallecorsa S, Valls Ferrer JA, Van Den Wollenberg W, Van Der Deijl PC, van der Geer R, 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, Varol T, Varouchas D, Vartapetian A, Varvell KE, Vasquez JG, Vazeille F, Vazquez Schroeder T, Veatch J, Veloce LM, Veloso F, Veneziano S, Ventura A, Venturi M, Venturi N, Venturini A, Vercesi V, Verducci M, Verkerke W, Vermeulen JC, Vest A, Vetterli MC, Viazlo O, Vichou I, Vickey T, Vickey Boeriu OE, 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Muon reconstruction performance of the ATLAS detector in proton-proton collision data at [Formula: see text]=13 TeV

This article documents the performance of the ATLAS muon identification and reconstruction using the LHC dataset recorded at [Formula: see text] TeV in 2015. Using a large sample of [Formula: see text] and [Formula: see text] decays from 3.2 fb[Formula: see text] of pp collision data, measurements of the reconstruction efficiency, as well as of the momentum scale and resolution, are presented and compared to Monte Carlo simulations. The reconstruction efficiency is measured to be close to [Formula: see text] over most of the covered phase space ([Formula: see text] and [Formula: see text] GeV). The isolation efficiency varies between 93 and [Formula: see text] depending on the selection applied and on the momentum of the muon. Both efficiencies are well reproduced in simulation. In the central region of the detector, the momentum resolution is measured to be [Formula: see text] ([Formula: see text]) for muons from [Formula: see text] ([Formula: see text]) decays, and the momentum scale is known with an uncertainty of [Formula: see text]. In the region [Formula: see text], the [Formula: see text] resolution for muons from [Formula: see text] decays is [Formula: see text] while the precision of the momentum scale for low-[Formula: see text] muons from [Formula: see text] decays is about [Formula: see text].

Dietary fish oil reduces survival and impairs bacterial clearance in C3H/Hen mice challenged with Listeria monocytogenes

1. To investigate the effect of dietary fat source on host resistance to intracellular pathogens, weanling female C3H/Hen mice were fed one of three experimental diets containing, 20% by weight, lard, soybean oil or 17% menhaden fish oil plus 3% corn oil. After 4 weeks, survival of mice (n = 12/treatment group) injected intraperitoneally with 2 x 10(6) colony forming units of live Listeria monocytogenes was determined. In a second study, bacterial clearance from the liver and spleen at 2, 4 and 7 days post-challenge was determined (n = 8/treatment group). 2. We found that the survival of mice fed the diets with soybean oil or menhaden fish oil was significantly lower than those fed lard (P < 0.05). Survival rates were 58% (7/12), 33% (4/12) and 100% (12/12), respectively, for mice fed soybean oil, menhaden fish oil and lard. In the second study, mice fed menhaden fish oil had approximately 1 log10 greater bacteria in their spleens at day 4 than mice fed lard or soybean oil (P < 0.001). There were no significant treatment differences in the number of bacteria recovered from liver samples. 3. In summary, dietary fat source significantly affects murine resistance to Listeria, with diets rich in n-3 polyunsaturated fatty acids, such as from fish oil, having the most detrimental effect.