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Zhan C, Peng Y, Ye H, Diao X, Yi C, Guo Q, Chen W, Yang X. Triglyceride glucose-body mass index and cardiovascular mortality in patients undergoing peritoneal dialysis: a retrospective cohort study. Lipids Health Dis 2023; 22:143. [PMID: 37670344 PMCID: PMC10478298 DOI: 10.1186/s12944-023-01892-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/31/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Recent studies have shown that triglyceride glucose-body mass index (TyG-BMI) is associated with the risk of ischemic stroke and coronary artery disease. However, little attention has been given to the association between TyG-BMI and cardiovascular disease (CVD) mortality in patients undergoing peritoneal dialysis (PD). Therefore, this study aimed to explore the relationship between TyG-BMI and CVD mortality in southern Chinese patients undergoing PD. METHODS Incident patients receiving PD from January 1, 2006, to December 31, 2018, with baseline serum triglyceride, glucose, and body mass index (BMI) information, were recruited for this single-center retrospective cohort study. TyG-BMI was calculated based on fasting plasma glucose, triglyceride, and BMI values. The association between TyG-BMI, CVD and all-cause mortality was evaluated using a multivariate-adjusted Cox proportional hazard regression model. RESULTS Of 2,335 patients, the mean age was 46.1 ± 14.8 years; 1,382 (59.2%) were male, and 564 (24.2%) had diabetes. The median TyG-BMI was 183.7 (165.5-209.2). Multivariate linear regression showed that advanced age, male sex, history of CVD, higher levels of albumin and low-density lipoprotein cholesterol, and higher urine output were correlated with a higher TyG-BMI (P < 0.05). During a median follow-up period of 46.6 (22.4-78.0) months, 615 patients died, of whom 297 (48.2%) died as a result of CVD. After adjusting for demographics and comorbidities, TyG-BMI was significantly associated with an increased risk of CVD mortality (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.05-2.17) and all-cause mortality (HR 1.36, 95% CI 1.05-1.75). After full adjustment, the 28% risk of CVD mortality (HR 1.28, 95% CI 1.13-1.45) and 19% risk of all-cause mortality were elevated (HR 1.19, 95% CI 1.09-1.31) when TyG-BMI increased by 1 stand deviation (SD) (34.2). CONCLUSIONS A higher baseline TyG-BMI was independently associated with an increased risk of CVD and all-cause mortality in patients receiving PD.
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Masciovecchio M, Mokhtar F, Pieri M, Quinnan M, Sathia Narayanan BV, Sharma V, Tadel M, Vourliotis E, Würthwein F, Xiang Y, Yagil A, Brennan L, Campagnari C, Collura G, Dorsett A, Incandela J, Kilpatrick M, Kim J, Li AJ, Masterson P, Mei H, Oshiro M, Richman J, Sarica U, Schmitz R, Setti F, Sheplock J, Stuart D, Wang S, Bornheim A, Cerri O, Latorre A, Lawhorn JM, Mao J, Newman HB, Nguyen TQ, Spiropulu M, Vlimant JR, Wang C, Xie S, Zhu RY, Alison J, An S, Andrews MB, Bryant P, Dutta V, Ferguson T, Harilal A, Liu C, Mudholkar T, Murthy S, Paulini M, Roberts A, Sanchez A, Terrill W, Cumalat JP, Ford WT, Hassani A, Karathanasis G, MacDonald E, Manganelli N, Marini F, Perloff A, Savard C, Schonbeck N, Stenson K, Ulmer KA, Wagner SR, Zipper N, Alexander J, Bright-Thonney S, Chen X, Cranshaw DJ, Fan J, Fan X, Gadkari D, Hogan S, Monroy J, Patterson JR, Reichert J, Reid M, Ryd A, Thom J, Wittich P, Zou R, Albrow M, Alyari M, Amram O, Apollinari G, Apresyan A, Bauerdick LAT, Berry D, Berryhill J, Bhat PC, Burkett K, Butler JN, Canepa A, Cerati GB, Cheung HWK, Chlebana F, Cummings G, Dickinson J, Dutta I, Elvira VD, Feng Y, Freeman J, Gandrakota A, Gecse Z, Gray L, Green D, Grünendahl S, Guerrero D, Gutsche O, Harris RM, Heller R, Herwig TC, Hirschauer J, Horyn L, Jayatilaka B, Jindariani S, Johnson M, Joshi U, Klijnsma T, Klima B, Kwok KHM, Lammel S, Lincoln D, Lipton R, Liu T, Madrid C, Maeshima K, Mantilla C, Mason D, McBride P, Merkel P, Mrenna S, Nahn S, Ngadiuba J, Noonan D, Papadimitriou V, Pastika N, Pedro K, Pena C, Ravera F, Reinsvold Hall A, Ristori L, Sexton-Kennedy E, Smith N, Soha A, Spiegel L, Stoynev S, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Zoi I, Aruta C, Avery P, Bourilkov D, Cadamuro L, Chang P, Cherepanov V, Field RD, Koenig E, Kolosova M, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Muthirakalayil Madhu A, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Wang J, Adams T, Al Kadhim A, Askew A, Bower N, Habibullah R, Hagopian V, Hashmi R, Kim RS, Kim S, Kolberg T, Martinez G, Prosper H, Prova PR, Viazlo O, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yumiceva F, Adams MR, Bennett C, Cavanaugh R, Dittmer S, Escobar Franco R, Evdokimov O, Gerber CE, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Wang X, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Vámi TÁ, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, Kalogeropoulos A, Kim D, Maravin Y, Nam K, Natoli J, Roy D, Sorrentino G, Adams E, Baden A, Baron O, Belloni A, Bethani A, Chen YM, Eno SC, Hadley NJ, Jabeen S, Kellogg RG, Koeth T, Lai Y, Lascio S, Mignerey AC, Nabili S, Palmer C, Papageorgakis C, Paranjpe MM, Wang L, Wong K, Bendavid J, Busza W, Cali IA, Chen Y, D'Alfonso M, Eysermans J, Freer C, Gomez-Ceballos G, Goncharov M, Harris P, Hoang D, Kovalskyi D, Krupa J, Lavezzo L, Lee YJ, Long K, Mironov C, Paus C, Rankin D, Roland C, Roland G, Rothman S, Shi Z, Stephans GSF, Wang J, Wang Z, Wyslouch B, Yang TJ, Crossman B, Joshi BM, Kapsiak C, Krohn M, Mahon D, Mans J, Pandey S, Revering M, Rusack R, Saradhy R, Schroeder N, Strobbe N, Wadud MA, Cremaldi LM, Bloom K, Bryson M, Claes DR, Fangmeier C, Golf F, Hossain J, Joo C, Kravchenko I, Reed I, Siado JE, Snow GR, Tabb W, Wightman A, Yan F, Yu D, Zecchinelli AG, Agarwal G, Bandyopadhyay H, Hay L, Iashvili I, Kharchilava A, McLean C, Morris M, Nguyen D, Pekkanen J, Rappoccio S, Rejeb Sfar H, Williams A, Alverson G, Barberis E, Haddad Y, Han Y, Krishna A, Li J, Lu M, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wang B, Wood D, Bhattacharya S, Bueghly J, Chen Z, Hahn KA, Liu Y, Miao Y, Monk DG, Schmitt MH, Taliercio A, Velasco M, Band R, Bucci R, Castells S, Cremonesi M, Das A, Goldouzian R, Hildreth M, Ho KW, Hurtado Anampa K, Jessop C, Lannon K, Lawrence J, Loukas N, Lutton L, Mariano J, Marinelli N, Mcalister I, McCauley T, Mcgrady C, Mohrman K, Moore C, Musienko Y, Nelson H, Osherson M, Ruchti R, Townsend A, Wayne M, Yockey H, Zarucki M, Zygala L, Basnet A, Bylsma B, Carrigan M, Durkin LS, Hill C, Joyce M, Lesauvage A, Nunez Ornelas M, Wei K, Winer BL, Yates BR, Addesa FM, Bouchamaoui H, Das P, Dezoort G, Elmer P, Frankenthal A, Greenberg B, Haubrich N, Higginbotham S, Kopp G, Kwan S, Lange D, Loeliger A, Marlow D, Ojalvo I, Olsen J, Stickland D, Tully C, Malik S, Bakshi AS, Barnes VE, Chandra S, Chawla R, Das S, Gu A, Gutay L, Jones M, Jung AW, Kondratyev D, Koshy AM, Liu M, Negro G, Neumeister N, Paspalaki G, Piperov S, Purohit A, Schulte JF, Stojanovic M, Thieman J, Virdi AK, Wang F, Xie W, Dolen J, Parashar N, Pathak A, Acosta D, Baty A, Carnahan T, Dildick S, Ecklund KM, Fernández Manteca PJ, Freed S, Gardner P, Geurts FJM, Kumar A, Li W, Miguel Colin O, Padley BP, Redjimi R, Rotter J, Yigitbasi E, Zhang Y, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Parygin P, Popova E, Taus R, Van Onsem GP, Goulianos K, Chiarito B, Chou JP, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Jaroslawski D, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Routray H, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Vora J, Wang H, Acharya H, Ally D, Delannoy AG, Fiorendi S, Holmes T, Karunarathna N, Lee L, Nibigira E, Spanier S, Aebi D, Ahmad M, Bouhali O, Dalchenko M, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Hussain A, Kazhykarim Y, Lamichhane K, Lee SW, Mankel A, Mengke T, Muthumuni S, Peltola T, Volobouev I, Whitbeck A, Appelt E, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Li A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Dubinin M, Dudko L, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of the Rare Decay of the η Meson to Four Muons. PHYSICAL REVIEW LETTERS 2023; 131:091903. [PMID: 37721839 DOI: 10.1103/physrevlett.131.091903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 06/14/2023] [Indexed: 09/20/2023]
Abstract
A search for the rare η→μ^{+}μ^{-}μ^{+}μ^{-} double-Dalitz decay is performed using a sample of proton-proton collisions, collected by the CMS experiment at the CERN LHC with high-rate muon triggers during 2017 and 2018 and corresponding to an integrated luminosity of 101 fb^{-1}. A signal having a statistical significance well in excess of 5 standard deviations is observed. Using the η→μ^{+}μ^{-} decay as normalization, the branching fraction B(η→μ^{+}μ^{-}μ^{+}μ^{-})=[5.0±0.8(stat)±0.7(syst)±0.7(B_{2μ})]×10^{-9} is measured, where the last term is the uncertainty in the normalization channel branching fraction. This work achieves an improved precision of over 5 orders of magnitude compared to previous results, leading to the first measurement of this branching fraction, which is found to agree with theoretical predictions.
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Liu R, Guo J, Ye H, Peng Y, Wu H, Mao H, Guo Q, Huang F, Yang X. The feasibility of incremental peritoneal dialysis for older patients on peritoneal dialysis. Kidney Res Clin Pract 2023:j.krcp.22.202. [PMID: 37559224 DOI: 10.23876/j.krcp.22.202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 04/03/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND This study was performed to investigate the feasibility of incremental peritoneal dialysis (iPD) in older patients. METHODS In this retrospective cohort study, we enrolled peritoneal dialysis (PD) patients with age ≥ 60 years old at our center from 2008 to 2017. The patients were divided into two groups based on the daily PD exchanges: iPD group (≤3 × 2 L exchanges), and full dose group (≥4 × 2 L exchanges). Kaplan-Meier curves and multivariate Cox regression models were applied to evaluate the risks of anuria and mortalities between groups. RESULTS A total of 238 patients (186 in full dose group and 52 in iPD group) were enrolled. The mean age was 67.8 ± 5.7 years, and 45.8% were females. The baseline glomerular filtration rate was 4.15 ± 2.39 mL/min/1.73 m2 . Multivariate Cox regression models showed that patients in the iPD group patients had significantly decreased risk of anuria (hazard ratio [HR], 0.44; 95% confidence interval [CI], 0.24-0.81; p = 0.008), and all-cause mortality (HR, 0.59; 95% CI, 0.36-0.98; p = 0.04). Additionally, the incidence of peritonitis was significantly lower in the iPD group than that in the full dose group (0.115 vs. 0.197 episodes per person-year, p = 0.03) during the 36 months of PD commencement. CONCLUSION Older patients with iPD were independently associated with better preservation of residual kidney function and survival outcomes. Moreover, iPD regimens are also associated with reduced incidence of peritonitis. The iPD strategy might offer a feasible option for older patients.
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Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Bonham B, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen J, Palmer C, Piroué P, Stickland D, Tully C, Malik S, Norberg S, Barnes VE, Chawla R, Das S, Gutay L, Jones M, Jung AW, Negro G, Neumeister N, Peng CC, Piperov S, Purohit A, Schulte JF, Stojanovic M, Trevisani N, Wang F, Wildridge A, Xiao R, Xie W, Dolen J, Parashar N, Baty A, Dildick S, Ecklund KM, Freed S, Geurts FJM, Kilpatrick M, Kumar A, Li W, Padley BP, Redjimi R, Roberts J, Rorie J, Shi W, Leiton AGS, Bodek A, de Barbaro P, Demina R, Dulemba JL, Fallon C, Ferbel T, Galanti M, Garcia-Bellido A, Hindrichs O, Khukhunaishvili A, Ranken E, Taus R, Chiarito B, Chou JP, Gandrakota A, Gershtein Y, Halkiadakis E, Hart A, Heindl M, Hughes E, Kaplan S, Karacheban O, Laflotte I, Lath A, Montalvo R, Nash K, Osherson M, Salur S, Schnetzer S, Somalwar S, Stone R, Thayil SA, Thomas S, Wang H, Acharya H, Delannoy AG, Spanier S, Bouhali O, Dalchenko M, Delgado A, Eusebi R, Gilmore J, Huang T, Kamon T, Kim H, Luo S, Malhotra S, Mueller R, Overton D, Perniè L, Rathjens D, Safonov A, Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wolfe E, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borchsh V, Bunin P, Chekhovsky V, Chistov R, Danilov M, Demiyanov A, Dermenev A, Dimova T, Dremin I, Epshteyn V, Ershov A, Gavrilenko M, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Iuzhakov A, Ivanchenko V, Ivanov Y, Kachanov V, Kalinin A, Kamenev A, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirsanov M, Kodolova O, Konstantinov D, Korotkikh V, Krasnikov N, Kuznetsova E, Lanev A, Litomin A, Lukina O, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Oskin A, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Petrushanko S, Pivovarov G, Polikarpov S, Popov V, Safronov G, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Spiridonov A, Stepennov A, Gonzalez JS, Sukhikh L, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisov D, Toms M, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Azimuthal Correlations within Exclusive Dijets with Large Momentum Transfer in Photon-Lead Collisions. PHYSICAL REVIEW LETTERS 2023; 131:051901. [PMID: 37595238 DOI: 10.1103/physrevlett.131.051901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/11/2022] [Accepted: 02/15/2023] [Indexed: 08/20/2023]
Abstract
The structure of nucleons is multidimensional and depends on the transverse momenta, spatial geometry, and polarization of the constituent partons. Such a structure can be studied using high-energy photons produced in ultraperipheral heavy-ion collisions. The first measurement of the azimuthal angular correlations of exclusively produced events with two jets in photon-lead interactions at large momentum transfer is presented, a process that is considered to be sensitive to the underlying nuclear gluon polarization. This study uses a data sample of ultraperipheral lead-lead collisions at sqrt[s_{NN}]=5.02 TeV, corresponding to an integrated luminosity of 0.38 nb^{-1}, collected with the CMS experiment at the LHC. The measured second harmonic of the correlation between the sum and difference of the two jet transverse momentum vectors is found to be positive, and rising, as the dijet transverse momentum increases. A well-tuned model that has been successful at describing a wide range of proton scattering data from the HERA experiments fails to describe the observed correlations, suggesting the presence of gluon polarization effects.
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Guo Q, Sun Q, Bian X, Wang M, Dong H, Yin H, Dai X, Fan G, Chen G. Development and validation of a multiphase CT radiomics nomogram for the preoperative prediction of lymphovascular invasion in patients with gastric cancer. Clin Radiol 2023; 78:e552-e559. [PMID: 37117048 DOI: 10.1016/j.crad.2023.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 03/13/2023] [Accepted: 03/22/2023] [Indexed: 04/30/2023]
Abstract
AIM To develop a nomogram to predict lymphovascular invasion (LVI) in gastric cancer by integrating multiphase computed tomography (CT) radiomics and clinical risk factors. MATERIALS AND METHODS One hundred and seventy-two gastric cancer patients (121 training and 51 validation) with preoperative contrast-enhanced CT images and clinicopathological data were collected retrospectively. The clinical risk factors were selected by univariate and multivariate regression analysis. Radiomic features were extracted and selected from the arterial phase (AP), venous phase (VP), and delayed phase (DP) CT images of each patient. Clinical risk factors, radiomic features, and integration of both were used to develop the clinical model, radiomic models, and nomogram, respectively. RESULTS Radiomic features from AP (n=6), VP (n=6), DP (n=7) CT images and three selected clinical risk factors were used for model development. The nomogram showed better performance than the AP, VP, DP, and clinical models in the training and validation datasets, providing areas under the curves (AUCs) of 0.890 (95% CI: 0.820-0.940) and 0.885 (95% CI:0.765-0.957), respectively. All models indicated good calibration, and decision curve analysis proved that the net benefit of the nomogram was superior to that of the clinical and radiomic models throughout the vast majority of the threshold probabilities. CONCLUSIONS The nomogram integrating multiphase CT radiomics and clinical risk factors showed favourable performance in predicting LVI of gastric cancer, which may benefit clinical practice.
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Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Dragicevic M, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Mikulec I, Paulitsch P, Pitters FM, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Darwish MR, De Wolf EA, Janssen T, Kello T, Lelek A, Sfar HR, Mechelen PV, Putte SV, Remortel NV, Blekman F, Bols ES, D’Hondt J, Delcourt M, Faham HE, Lowette S, Moortgat S, Morton A, Müller D, Sahasransu AR, Tavernier S, Doninck WV, Mulders PV, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Favart L, Grebenyuk A, Kalsi AK, Lee K, Mahdavikhorrami M, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Bemden MV, Velde CV, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Knolle J, Lambrecht L, Mestdach G, Niedziela M, Roskas C, Samalan A, Skovpen K, Tytgat M, Vermassen B, Vit M, Bethani A, Bruno G, Bury F, Caputo C, David P, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Tran TT, Vischia P, Wertz S, Alves GA, Hensel C, Moraes A, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, Figueiredo DM, Herrera CM, Amarilo KM, Mundim L, Nogima H, Teles PR, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva De Araujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Cheng T, Guo Q, Javaid T, Mittal M, Wang H, Yuan L, Ahmad M, Bauer G, Dozen C, Hu Z, Martins J, Wang Y, Yi K, Chapon E, Chen GM, Chen HS, Chen M, Iemmi F, Kapoor A, Leggat D, Liao H, Liu ZA, Milosevic V, Monti F, Sharma R, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, An Y, Ban Y, Chen C, Levin A, Li Q, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, Lu M, You Z, Gao X, Okawa H, Lin Z, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Giljanovic D, Godinovic N, Lelas D, Puljak I, Antunovic Z, Kovac M, Sculac T, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Attikis A, Christoforou K, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdelalim AA, Elgammal S, Lotfy A, Mahmoud MA, Bhowmik S, Dewanjee RK, Ehataht K, Kadastik M, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Ott J, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, 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Nahn S, Ngadiuba J, O’Dell V, Papadimitriou V, Pedro K, Pena C, Prokofyev O, Ravera F, Hall AR, Ristori L, Schneider B, Sexton-Kennedy E, Smith N, Soha A, Spalding WJ, Spiegel L, Strait J, Taylor L, Tkaczyk S, Tran NV, Uplegger L, Vaandering EW, Weber HA, Acosta D, Avery P, Bourilkov D, Cadamuro L, Cherepanov V, Errico F, Field RD, Guerrero D, Joshi BM, Kim M, Koenig E, Konigsberg J, Korytov A, Lo KH, Matchev K, Menendez N, Mitselmakher G, Madhu AM, Rawal N, Rosenzweig D, Rosenzweig S, Shi K, Sturdy J, Wang J, Yigitbasi E, Zuo X, Adams T, Askew A, Habibullah R, Hagopian V, Johnson KF, Khurana R, Kolberg T, Martinez G, Prosper H, Schiber C, Viazlo O, Yohay R, Zhang J, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Verma RK, Noonan D, Rahmani M, Yumiceva F, Adams MR, Gonzalez HB, Cavanaugh R, Chen X, Dittmer S, Evdokimov O, Gerber CE, Hangal DA, Hofman DJ, Merrit AH, Mills C, Oh G, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Viinikainen J, Wang X, Wu Z, Ye Z, Alhusseini M, Dilsiz K, 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Teague D, Trembath-Reichert S, Vetens W, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Bunichev V, Chadeeva M, Dermenev A, Dimova T, Dremin I, Dubinin M, Dudko L, Dydyshka Y, Epshteyn V, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Ivanchenko V, Ivanov Y, Kachanov V, Kardapoltsev L, Karjavine V, Karneyeu A, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Klyukhin V, Kodolova O, Konstantinov D, Korenkov V, Kozyrev A, Krasnikov N, Kuznetsova E, Lanev A, Lukina O, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Mossolov V, Murzin V, Nikitenko A, Obraztsov S, Okhotnikov V, Oreshkin V, Ovtin I, Palichik V, Parygin P, Pashenkov A, Perelygin V, Perfilov M, Pivovarov G, Popov V, Popova E, Savina M, Savrin V, Seitova D, Selivanova D, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov I, Smirnov V, Snigirev A, Sosnov D, Spiridonov A, Stepennov A, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisov D, Toms M, Toropin A, Uvarov L, Uzunian A, Vlasov E, Volkov S, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhemchugov E, Zhizhin I, Zhokin A. Measurement of the mass dependence of the transverse momentum of lepton pairs in Drell-Yan production in proton-proton collisions at s=13TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2023; 83:628. [PMID: 37471210 PMCID: PMC10352449 DOI: 10.1140/epjc/s10052-023-11631-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 09/29/2022] [Indexed: 07/22/2023]
Abstract
The double differential cross sections of the Drell-Yan lepton pair (ℓ + ℓ - , dielectron or dimuon) production are measured as functions of the invariant mass m ℓ ℓ , transverse momentum p T ( ℓ ℓ ) , and φ η ∗ . The φ η ∗ observable, derived from angular measurements of the leptons and highly correlated with p T ( ℓ ℓ ) , is used to probe the low-p T ( ℓ ℓ ) region in a complementary way. Dilepton masses up to 1Te V are investigated. Additionally, a measurement is performed requiring at least one jet in the final state. To benefit from partial cancellation of the systematic uncertainty, the ratios of the differential cross sections for various m ℓ ℓ ranges to those in the Z mass peak interval are presented. The collected data correspond to an integrated luminosity of 36.3fb - 1 of proton-proton collisions recorded with the CMS detector at the LHC at a centre-of-mass energy of 13Te V . Measurements are compared with predictions based on perturbative quantum chromodynamics, including soft-gluon resummation.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Individual
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 0723-2020-0041 and FSWW-2020-0008
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- INFN Sezione di Trieste, Università di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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Guo Q, Zhou C, Xiang Y, Liang X. Pyroptosis orchestrates immune responses in endometriosis. Int Immunopharmacol 2023; 118:110141. [PMID: 37030117 DOI: 10.1016/j.intimp.2023.110141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/28/2023] [Accepted: 03/31/2023] [Indexed: 04/10/2023]
Abstract
Endometriosis is a refractory and recurrent gynecological condition which affects about 10 % of reproductive-age women. The dysfunctional immune system is a well-established element in disease pathogenesis. Pyroptosis, a novel form of inflammatory cell death, has been revealed to be strongly connected with immune responses in tumors. Nevertheless, its relationship with microenvironment characteristics and clinical features in endometriosis is unclear. Here, we performed bioinformatics analysis on published data in humans and revealed a significant but neglected role of pyroptosis in endometriosis. Samples with higher PyrScores were generally accompanied with more aggressive disease features, such as EMT, angiogenesis and immune disorders. We further confirmed in animal models that pyroptosis exacerbated immune dysfunction by recruiting activated immune cell including macrophages, DC, neutrophils, CD8+ Tcm and Tregs with unregulated CCL2, CCL3, CXCL2 and CXCL3. Collectively, pyroptosis is a distinctive feature of endometriosis. Our work provides insights into further studies targeting pyroptosis for molecular typing and individualized precise therapy.
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Guo Q, Yen CN, Scheffler TL, Richert BT, Schinckel AP, Grant AL, Gerrard DE. Ractopamine does not rescue Halothane and Rendement Napole metabolism postmortem. Meat Sci 2023; 198:109075. [PMID: 36641987 DOI: 10.1016/j.meatsci.2022.109075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/28/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
The objective of this study was to determine if ractopamine (RAC) impacts postmortem muscle metabolism and subsequent pork quality in Halothane (HAL) and Rendement Napole (RN) mutant pigs. All RAC fed pigs had increased (P < 0.04) L* values. HAL and RN mutants muscle had lower (P < 0.01) pH values but RAC feeding had no effect. RN mutants had higher and lower (P < 0.05) muscle pH and temperatures, respectfully at 15 min and RN mutant pigs had greater (P < 0.0001) glycogen initially but lactate levels similar to wild type (WT) pigs at 24 h. RAC lowered (P < 0.05) glycogen in RN mutants but not in HAL mutated or WT pig muscle. These data show RAC feeding changes postmortem energy metabolism but does not change pH and pork quality hallmark of two major pig gene mutations and supports our contention that ultimate meat quality traits and their biochemical drivers may be more complex than originally reasoned.
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Hu Y, Lu T, Zhang H, Fang M, Chen B, Guo Q, Lin S, Wang Y, Feng P, Gong X, Pan J, Li J, Xia Y. 38P Locoregional radiotherapy improves survival outcomes in de novo metastatic nasopharyngeal carcinoma treated with chemoimmunotherapy. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.101004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Xu J, Han X, Chen Q, Cai M, Tian J, Yan Z, Guo Q, Xu J, Lu H. Association between sarcopenia and prediabetes among non-elderly US adults. J Endocrinol Invest 2023:10.1007/s40618-023-02038-y. [PMID: 36856982 DOI: 10.1007/s40618-023-02038-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023]
Abstract
AIM To explore the specific association between sarcopenia and prediabetes based on large population samples. METHODS A total of 16,116 U.S. adults aged 20-59 with dual energy X-ray absorptiometry (DXA) was identified from the National Health and Nutrition Examination Surveys (NHANES). Sarcopenia was defined according to appendicular skeletal muscle mass (ASM) adjusted for body mass index (BMI). Multivariable binary logistic regression models were used to ascertain odds ratios (ORs) for developing prediabetes. Stratified analyses were also performed. RESULTS Prevalence of prediabetes was higher in the sarcopenia group (n = 1055) compared with the non-sarcopenia group (n = 15,061) (45.50% vs 28.74%, P < 0.001). Sarcopenia was strongly associated with an increased risk of prediabetes after full adjustment (OR = 1.21, 95CI%: 1.05, 1.39, P = 0.009). In the stratified analysis, this association remained significant independent of obesity, triglycerides, and low-density lipoprotein cholesterol levels. When sarcopenia subjects combined with obesity especially central obesity, the risk of prediabetes was the highest (OR = 2.63, 95CI%: 2.22, 3.11, P < 0.001). Furthermore, a greater proportion of any of impaired glucose tolerance (IGT) individuals was observed in the sarcopenia group compared to the non-sarcopenia group among prediabetes population (41.72% vs 24.06%, P < 0.001). CONCLUSIONS Sarcopenia was positively associated with prevalent prediabetes especially IGT in the non-elderly. Moreover, synergistic interactions between the sarcopenia and obesity could greatly increase the risk of prediabetes.
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Shi PC, Xiao JL, Deng WF, Guo Q, Jin L, Zhou ZX, Ji C. Synthesis, Crystal Structure, and DFT Study of (5-Bromo-2-fluorophenyl)-2-pyrazinylmethanone. RUSS J GEN CHEM+ 2023. [DOI: 10.1134/s1070363223010139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
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Tumasyan A, Adam W, Bergauer T, Dragicevic M, Erö J, Valle AED, Frühwirth R, Jeitler M, Krammer N, Lechner L, Liko D, Madlener T, Mikulec I, Pitters FM, Rad N, Schieck J, Schöfbeck R, Spanring M, Templ S, Waltenberger W, Wulz CE, Zarucki M, Chekhovsky V, Litomin A, Makarenko V, Gonzalez JS, Darwish MR, De Wolf EA, Croce DD, Janssen T, Kello T, Lelek A, Pieters M, Sfar HR, Haevermaet HV, Mechelen PV, Putte SV, Remortel NV, Blekman F, Bols ES, Chhibra SS, D’Hondt J, De Clercq J, Lontkovskyi D, Lowette S, Marchesini I, Moortgat S, Morton A, Python Q, Tavernier S, Doninck WV, Mulders PV, Beghin D, Bilin B, Clerbaux B, De Lentdecker G, Dorney B, Favart L, Grebenyuk A, Kalsi AK, Makarenko I, Moureaux L, Pétré L, Popov A, Postiau N, Starling E, Thomas L, Velde CV, Vanlaer P, Vannerom D, Wezenbeek L, Cornelis T, Dobur D, Gruchala M, Khvastunov I, Niedziela M, Roskas C, Skovpen K, Tytgat M, Verbeke W, Vermassen B, Vit M, Bruno G, Bury F, Caputo C, David P, Delaere C, Delcourt M, Donertas IS, Giammanco A, Lemaitre V, Mondal K, Prisciandaro J, Taliercio A, Teklishyn M, Vischia P, Wuyckens S, Zobec J, Alves GA, Hensel C, Moraes A, Júnior WLA, Chagas EBBD, MALBOUISSON HBRANDAO, Carvalho W, Chinellato J, Coelho E, Da Costa EM, Da Silveira GG, De JesusDamiao D, De Souza SF, Martins J, Figueiredo DM, Jaime MM, Herrera CM, Mundim L, Nogima H, Teles PR, Rosas LJS, Santoro A, Amaral SMSD, Sznajder A, Thiel M, Da Silva DeAraujo FT, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Lemos DS, Mercadante PG, Novaes SF, Padula SS, Aleksandrov A, Antchev G, Atanassov I, Hadjiiska R, Iaydjiev P, Misheva M, Rodozov M, Shopova M, Sultanov G, Bonchev M, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Fang W, Guo Q, Wang H, Yuan L, Ahmad M, Hu Z, Wang Y, Chapon E, Chen GM, Chen HS, Chen M, Javaid T, Kapoor A, Leggat D, Liao H, Liu ZA, Sharma R, Spiezia A, Tao J, Thomas-Wilsker J, Wang J, Zhang H, Zhang S, Zhao J, Agapitos A, Ban Y, Chen C, Huang Q, Levin A, Li Q, Lu M, Lyu X, Mao Y, Qian SJ, Wang D, Wang Q, Xiao J, You Z, Gao X, Xiao M, Avila C, Cabrera A, Florez C, Fraga J, Sarkar A, Delgado MAS, Jaramillo J, Guisao JM, Ramirez F, Alvarez JDR, González CAS, Arbelaez NV, Giljanovic D, Godinovic N, Lelas D, Puljak I, Sculac T, Antunovic Z, Kovac M, Brigljevic V, Ferencek D, Majumder D, Roguljic M, Starodumov A, Susa T, Ather MW, Attikis A, Erodotou E, Ioannou A, Kole G, Kolosova M, Konstantinou S, Mavromanolakis G, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Tsiakkouri D, Finger M, Finger M, Kveton A, Tomsa J, Ayala E, Jarrin EC, Abdalla H, Assran Y, Mohamed A, Mahmoud MA, Mohammed Y, Bhowmik S, De Oliveira ACA, Dewanjee RK, Ehataht K, Kadastik M, Raidal M, Veelken C, Eerola P, Forthomme L, Kirschenmann H, Osterberg K, Voutilainen M, Brücken E, Garcia F, Havukainen J, Karimäki V, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Laurila S, Lehti S, Lindén T, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Tuuva T, Amendola C, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Givernaud A, Gras P, de Monchenault GH, Jarry P, Lenzi B, Locci E, Malcles J, Rander J, Rosowsky A, Sahin M, Savoy-Navarro A, Titov M, Yu GB, Ahuja S, Beaudette F, Bonanomi M, Perraguin AB, Busson P, Charlot C, Davignon O, Diab B, Falmagne G, de Cassagnac RG, Hakimi A, Kucher I, Lobanov A, Perez CM, Nguyen M, Ochando C, Paganini P, Rembser J, Salerno R, Sauvan JB, Sirois Y, Zabi A, Zghiche A, Agram JL, Andrea J, Bloch D, Bourgatte G, Brom JM, Chabert EC, Collard C, Fontaine JC, Gelé D, Goerlach U, Grimault C, Bihan ACL, Hove PV, Asilar E, Beauceron S, Bernet C, Boudoul G, Camen C, Carle A, Chanon N, Contardo D, Depasse P, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Ille B, Jain S, Laktineh IB, Lattaud H, Lesauvage A, Lethuillier M, Mirabito L, Torterotot L, Touquet G, Donckt MV, Viret S, Adamov G, Tsamalaidze Z, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Preuten M, Rauch MP, Schulz J, Teroerde M, Eliseev D, Erdmann M, Fackeldey P, Fischer B, Ghosh S, Hebbeker T, Hoepfner K, Keller H, Mastrolorenzo L, Merschmeyer M, Meyer A, Mocellin G, Mondal S, Mukherjee S, Noll D, Novak A, Pook T, Pozdnyakov A, Quast T, Rath Y, Reithler H, Roemer J, Schmidt A, Schuler SC, Sharma A, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Hlushchenko O, Kress T, Nowack A, Pistone C, Pooth O, Roy D, Sert H, Stahl A, Ziemons T, Petersen HA, Martin MA, Asmuss P, Babounikau I, Baxter S, Behnke O, Martínez AB, Anuar AAB, Borras K, Botta V, Brunner D, Campbell A, Cardini A, Connor P, Rodríguez SC, Danilov V, De Wit A, Defranchis MM, Didukh L, Damiani DD, Eckerlin G, Eckstein D, Eichhorn T, Banos LIE, Gallo E, Geiser A, Giraldi A, Grohsjean A, Guthoff M, Harb A, Jafari A, Jomhari NZ, Jung H, Kasem A, Kasemann M, Kaveh H, Kleinwort C, Knolle J, Krücker D, Lange W, Lenz T, Lidrych J, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Metwally J, Meyer AB, Meyer M, Missiroli M, Mnich J, Mussgiller A, Myronenko V, Otarid Y, Adán DP, Pflitsch SK, Pitzl D, Raspereza A, Saggio A, Saibel A, Savitskyi M, Scheurer V, Schwanenberger C, Singh A, Ricardo RES, Tonon N, Turkot O, Vagnerini A, De Klundert MV, Walsh R, Walter D, Wen Y, Wichmann K, Wissing C, Wuchterl S, Zenaiev O, Zlebcik R, Aggleton R, Bein S, Benato L, Benecke A, De Leo K, Dreyer T, Ebrahimi A, Eich M, Feindt F, Fröhlich A, Garbers C, Garutti E, Gunnellini P, Haller J, Hinzmann A, Karavdina A, Kasieczka G, Klanner R, Kogler R, Kutzner V, Lange J, Lange T, Malara A, Niemeyer CEN, Nigamova A, Rodriguez KJP, Rieger O, Schleper P, Schumann S, Schwandt J, Schwarz D, Sonneveld J, Stadie H, Steinbrück G, Vormwald B, Zoi I, Baur S, Bechtel J, Berger T, Butz E, Caspart R, Chwalek T, De Boer W, Dierlamm A, Droll A, Morabit KE, Faltermann N, Flöh K, Giffels M, Gottmann A, Hartmann F, Heidecker C, Husemann U, Iqbal MA, Katkov I, Keicher P, Koppenhöfer R, Maier S, Metzler M, Mitra S, Müller D, Müller T, Musich M, Quast G, Rabbertz K, Rauser J, Savoiu D, Schäfer D, Schnepf M, Schröder M, Seith D, Shvetsov I, Simonis HJ, Ulrich R, Wassmer M, Weber M, Wolf R, Wozniewski S, Anagnostou G, Asenov P, Daskalakis G, Geralis T, Kyriakis A, Loukas D, Paspalaki G, Stakia A, Diamantopoulou M, Karasavvas D, Karathanasis G, Kontaxakis P, Koraka CK, Manousakis-Katsikakis A, Panagiotou A, Papavergou I, Saoulidou N, Theofilatos K, Vellidis K, Vourliotis E, Bakas G, Kousouris K, Papakrivopoulos I, Tsipolitis G, Zacharopoulou A, Evangelou I, Foudas C, Gianneios P, Katsoulis P, Kokkas P, Mallios S, Manitara K, Manthos N, Papadopoulos I, Strologas J, Bartók M, Chudasama R, Csanad M, Gadallah MMA, Lökös S, Major P, Mandal K, Mehta A, Pasztor G, Surányi O, Veres GI, Bencze G, Hajdu C, Horvath D, Sikler F, Veszpremi V, Vesztergombi G, Czellar S, Karancsi J, Molnar J, Szillasi Z, Teyssier D, Raics P, Trocsanyi ZL, Ujvari B, Csorgo T, Nemes F, Novak T, Choudhury S, Komaragiri JR, Kumar D, Panwar L, Tiwari PC, Bahinipati S, Dash D, Kar C, Mal P, Mishra T, Bindhu VKMN, Nayak A, Sahoo DK, Sur N, Swain SK, Bansal S, Beri SB, Bhatnagar V, Chauhan S, Dhingra N, Gupta R, Kaur A, Kaur S, Kumari P, Meena M, Sandeep K, Sharma S, Singh JB, Virdi AK, Ahmed A, Bhardwaj A, Choudhary BC, Garg RB, Gola M, Keshri S, Kumar A, Naimuddin M, Priyanka P, Ranjan K, Shah A, Bharti M, Bhattacharya R, Bhattacharya S, Bhowmik D, Dutta S, Ghosh S, Gomber B, Maity M, Nandan S, Palit P, Purohit A, Rout PK, Saha G, Sarkar S, Sharan M, Singh B, Thakur S, Behera PK, Behera SC, Kalbhor P, Muhammad A, Pradhan R, Pujahari PR, Sharma A, Sikdar AK, Dutta D, Kumar V, Naskar K, Netrakanti PK, Pant LM, Shukla P, Aziz T, Bhat MA, Dugad S, Verma RK, Mohanty GB, Sarkar U, Banerjee S, Bhattacharya S, Chatterjee S, Guchait M, Karmakar S, Kumar S, Majumder G, Mazumdar K, Mukherjee S, Roy D, Dube S, Kansal B, Pandey S, Rane A, Rastogi A, Sharma S, Bakhshiansohi H, Chenarani S, Etesami SM, Khakzad M, Najafabadi MM, Felcini M, Grunewald M, Abbrescia M, Aly R, Aruta C, Colaleo A, Creanza D, De Filippis N, De Palma M, Florio AD, Pilato AD, Elmetenawee W, Fiore L, Gelmi A, Gul M, Iaselli G, Ince M, Lezki S, Maggi G, Maggi M, Margjeka I, Mastrapasqua V, Merlin JA, My S, Nuzzo S, Pompili A, Pugliese G, Ranieri A, Selvaggi G, Silvestris L, Simone FM, Venditti R, Verwilligen P, Abbiendi G, Battilana C, Bonacorsi D, Borgonovi L, Braibant-Giacomelli S, Campanini R, Capiluppi P, Castro A, Cavallo FR, Ciocca C, Cuffiani M, Dallavalle GM, Diotalevi T, Fabbri F, Fanfani A, Fontanesi E, Giacomelli P, Giommi L, Grandi C, Guiducci L, Iemmi F, Meo SL, Marcellini S, Masetti G, Navarria FL, Perrotta A, Primavera F, Rovelli T, Siroli GP, Tosi N, Albergo S, Costa S, Mattia AD, Potenza R, Tricomi A, Tuve C, Barbagli G, Cassese A, Ceccarelli R, Ciulli V, Civinini C, D’Alessandro R, Fiori F, Focardi E, Latino G, Lenzi P, Lizzo M, Meschini M, Paoletti S, Seidita R, Sguazzoni G, Viliani L, Benussi L, Bianco S, Piccolo D, Bozzo M, Ferro F, Mulargia R, Robutti E, Tosi S, Benaglia A, 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Fernández JRG, Kravchenko I, Siado JE, Snow GR, Stieger B, Tabb W, Yan F, Agarwal G, Bandyopadhyay H, Harrington C, Hay L, Iashvili I, Kharchilava A, McLean C, Nguyen D, Pekkanen J, Rappoccio S, Roozbahani B, Alverson G, Barberis E, Freer C, Haddad Y, Hortiangtham A, Li J, Madigan G, Marzocchi B, Morse DM, Nguyen V, Orimoto T, Parker A, Skinnari L, Tishelman-Charny A, Wamorkar T, Wang B, Wisecarver A, Wood D, Bhattacharya S, Bueghly J, Chen Z, Gilbert A, Gunter T, Hahn KA, Odell N, Schmitt MH, Sung K, Velasco M, Bucci R, Dev N, Goldouzian R, Hildreth M, Anampa KH, Jessop C, Karmgard DJ, Lannon K, Loukas N, Marinelli N, Mcalister I, Meng F, Mohrman K, Musienko Y, Ruchti R, Siddireddy P, Taroni S, Wayne M, Wightman A, Wolf M, Zygala L, Alimena J, Bylsma B, Cardwell B, Durkin LS, Francis B, Hill C, Lefeld A, Winer BL, Yates BR, Das P, Dezoort G, Elmer P, Greenberg B, Haubrich N, Higginbotham S, Kalogeropoulos A, Kopp G, Kwan S, Lange D, Lucchini MT, Luo J, Marlow D, Mei K, Ojalvo I, Olsen 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Akchurin N, Damgov J, Hegde V, Kunori S, Lamichhane K, Lee SW, Mengke T, Muthumuni S, Peltola T, Undleeb S, Volobouev I, Wang Z, Whitbeck A, Appelt E, Greene S, Gurrola A, Janjam R, Johns W, Maguire C, Melo A, Ni H, Padeken K, Romeo F, Sheldon P, Tuo S, Velkovska J, Verweij M, Arenton MW, Cox B, Cummings G, Hakala J, Hirosky R, Joyce M, Ledovskoy A, Li A, Neu C, Tannenwald B, Wang Y, Wolfe E, Xia F, Karchin PE, Poudyal N, Thapa P, Black K, Bose T, Buchanan J, Caillol C, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Hervé A, Hussain U, Lanaro A, Loeliger A, Loveless R, Sreekala JM, Mallampalli A, Pinna D, Ruggles T, Savin A, Shang V, Sharma V, Smith WH, Teague D, Trembath-Reichert S, Vetens W. Measurements of the associated production of a W boson and a charm quark in proton-proton collisions at s = 8 TeV. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:1094. [PMID: 36507928 PMCID: PMC9722925 DOI: 10.1140/epjc/s10052-022-10897-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 10/09/2022] [Indexed: 05/25/2023]
Abstract
Measurements of the associated production of a W boson and a charm ( c ) quark in proton-proton collisions at a centre-of-mass energy of 8 TeV are reported. The analysis uses a data sample corresponding to a total integrated luminosity of 19.7 fb - 1 collected by the CMS detector at the LHC. The W bosons are identified through their leptonic decays to an electron or a muon, and a neutrino. Charm quark jets are selected using distinctive signatures of charm hadron decays. The product of the cross section and branching fraction σ ( pp → W + c + X ) B ( W → ℓ ν ) , where ℓ = e or μ , and the cross section ratio σ ( pp → W + + c ¯ + X ) / σ ( pp → W - + c + X ) are measured in a fiducial volume and differentially as functions of the pseudorapidity and of the transverse momentum of the lepton from the W boson decay. The results are compared with theoretical predictions. The impact of these measurements on the determination of the strange quark distribution is assessed.
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Grants
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Ministry of Education and Research
- Estonian Research Council via PRG780, PRG803, and PRG445
- European Regional Development Fund
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat à l’Énergie Atomique et aux Énergies Alternatives
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Fund
- Department of Atomic Energy
- Department of Science and Technology
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Science and Higher Education
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute”
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Thailand Center of Excellence in Physics
- Institute for the Promotion of Teaching Science and Technology of Thailand
- Special Task Force for Activating Research
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Belgian Federal Science Policy Office
- Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, “Excellence of Science - EOS” - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, “Excellence of Science - EOS” - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 “Quantum Universe” – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Lendúlet (“Momentum”) Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences
- New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- National Science Center, Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. 14.W03.31.0026 and FSWW-2020-0008
- Russian Foundation for Basic Research, project No.19-42-703014
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Stavros Niarchos Foundation
- Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University (Thailand)
- CUAASC
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Università di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Università di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Università di Roma, Rome
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin - Madison, Madison
- Vanderbilt University, Nashville
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Han B, Zhong H, Tian P, Zhao Y, Guo Q, Yu X, Yu Z, Zhang X, Li Y, Chen L, Zhang Y, Shi X, Wang J. 136P Tislelizumab (TIS) plus chemotherapy (chemo) for EGFR-mutated non-squamous non-small cell lung cancer (nsq-NSCLC) failed to EGFR tyrosine kinase inhibitors (TKIs) therapies: The primary analysis. IMMUNO-ONCOLOGY AND TECHNOLOGY 2022. [DOI: 10.1016/j.iotech.2022.100248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Cheng Y, Wang J, Yu Y, Zang A, Lv D, Li S, Cao L, Meng Z, Mao W, Zhang J, Liu A, Zhang Y, Tang K, Liu J, Zheng J, Wang Z, Chen E, Zhang X, Guo Q, Huang D. 103P Phase IIIb study of durvalumab plus platinum-etoposide in first-line treatment of Chinese extensive-stage small cell lung cancer (ORIENTAL): Preliminary safety and efficacy results. IMMUNO-ONCOLOGY AND TECHNOLOGY 2022. [DOI: 10.1016/j.iotech.2022.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Ma LX, Shi Y, Li JL, Guo Q, Zhou ZX, Huang ZY. Synthesis, Crystal Structure, and DFT Study of Ethyl 3-(2,3-Dihydrobenzofuran-5-yl)-2-propenoate. RUSS J GEN CHEM+ 2022. [DOI: 10.1134/s1070363222120416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
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Guo Q, Chen G, Cheng H, Qing Y, Truong L, Ma Q, Wang Y, Cheng J. Temporal regulation of notch activation improves arteriovenous fistula maturation. J Transl Med 2022; 20:543. [PMID: 36419038 PMCID: PMC9682688 DOI: 10.1186/s12967-022-03727-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/23/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Arteriovenous fistula (AVF) maturation is a process involving remodeling of venous arm of the AVFs. It is a challenge to balance adaptive AVF remodeling and neointima formation. In this study we temporally controlled Notch activation to promote AVF maturation while avoiding neointima formation. METHODS Temporal Notch activation was controlled by regulating the expression of Notch transcription factor, RBP-Jκ, or dnMAML1 (dominant negative MAML2) in vascular smooth muscle cells (VSMCs). AVF mouse model was created and VSMC phenotype dynamic changes during AVF remodeling were determined. RESULTS Activated Notch was found in the nuclei of neointimal VSMCs in AVFs from uremic mice. We found that the VSMCs near the anastomosis became dedifferentiated and activated after AVF creation. These dedifferentiated VSMCs regained smooth muscle contractile markers later during AVF remodeling. However, global or VSMC-specific KO of RBP-Jκ at early stage (before or 1 week after AVF surgery) blocked VSMC differentiation and neointima formation in AVFs. These un-matured AVFs showed less intact endothelium and increased infiltration of inflammatory cells. Consequently, the VSMC fate in the neointima was completely shut down, leading to an un-arterialized AVF. In contrast, KO of RBP-Jκ at late stage (3 weeks after AVF surgery), it could not block neointima formation and vascular stenosis. Inhibition of Notch activation at week 1 or 2, could maintain VSMC contractile markers expression and facilitate AVF maturation. CONCLUSIONS This work uncovers the molecular and cellular events in each segment of AVF remodeling and found that neither sustained increasing nor blocking of Notch signaling improves AVF maturation. It highlights a novel strategy to improve AVF patency: temporally controlled Notch activation can achieve a balance between adaptive AVF remodeling and neointima formation to improve AVF maturation. TRANSLATIONAL PERSPECTIVE Adaptive vascular remodeling is required for AVF maturation. The balance of wall thickening of the vein and neointima formation in AVF determines the fate of AVF function. Sustained activation of Notch signaling in VSMCs promotes neointima formation, while deficiency of Notch signaling at early stage during AVF remodeling prevents VSMC accumulation and differentiation from forming a functional AVFs. These responses also delay EC regeneration and impair EC barrier function with increased inflammation leading to failed vascular remodeling of AVFs. Thus, a strategy to temporal regulate Notch activation will improve AVF maturation.
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Qiao CY, Zhang H, Zhang Y, Zhang S, Li DJ, Song XD, Yang YQ, Wang XF, Yao N, Chen C, Wang LX, Liu T, Guo Q, Lin T, Cao K, Liang J, Wang NL. [Comparison study for the proportion of underdiagnosed zonulopathy in angle closure glaucoma]. [ZHONGHUA YAN KE ZA ZHI] CHINESE JOURNAL OF OPHTHALMOLOGY 2022; 58:872-881. [PMID: 35359094 DOI: 10.3760/cma.j.cn112142-20211226-00608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the proportion and clinical characteristics of underdiagnosed zonulopathy in angle closure glaucoma (ACG) patients and to explore the related risk factors. Methods: Case-control study. Continuous cases of ACG patients who underwent phacoemulsification combined with intraocular lens implantation and goniosynechialysis surgery [ACG group, including acute angle closure glaucoma (AACG) and chronic angle closure glaucoma (CACG)] from November 1, 2020 to October 31, 2021 and age-related cataract patients who underwent phacoemulsification combined with intraocular lens implantation surgery in the same period (control group) were included. The diagnosis of zonulopathy was determined according to the intraoperative signs such as wrinkles of the anterior capsule during continuous circular capsulorhexis. The proportion of zonulopathy, preoperative diagnosis rate of zonulopathy, demographic characteristics, anterior chamber depth (ACD), axis length, difference of ACD in both eyes (ACD of the contralateral eye minus ACD of the operated eye) were compared between the two groups. The related risk factors were explored. The paired t-test (comparison between two groups of normally distributed data), non-parametric test (comparison between two groups of non-normally distributed data), Chi-square test (categorical variables), univariate and multivariate logistic regression analysis were used. Results: There were 104 ACG patients (104 eyes), including 63 AACG patients (63 eyes) and 41 CACG patients (41 eyes), and 117 controls (117 eyes). There was no significant difference in age (P=0.29) and gender (P=0.07) between the two groups. The ACG group had shallower anterior chamber (P<0.001), shorter axial length (P<0.001) and more ACD difference in both eyes (P<0.001). In the ACG group, the proportion of zonulopathy was 46.2% (48/104), which was significantly higher than that (6.0%, 7/117) in the control group (P<0.001). In the control group, only zonular laxity was found, while in the ACG group, besides the predominant zonular laxity (68.8%, 33/48), there was zonular dehiscence (31.3%, 15/48). The eyes with AACG (57.1%, 36/63) had a higher proportion of zonulopathy than those with CACG (29.3%, 12/41) (P=0.006). In the ACG group, only 14 cases (29.8%) were diagnosed preoperatively according to slit lamp examination and/or ultrasound biomicroscopy. The proportion of underdiagnosed zonulopathy was 70.8% in the ACG group (34/48). A smaller ACD was found to be related to the zonulopathy in the ACG group. All AACG cases with an ACD ≤2.0 mm and CACG cases with an ACD ≤1.9 mm had zonulopathy. Multivariate logistic regression showed that the ACD difference in both eyes (P=0.025) and the diagnosis of ACG (AACG vs. cataract, P<0.001; CACG vs. cataract, P=0.023) were independent risk factors associated with zonulopathy. Conclusions: The proportion of underdiagnosed zonulopathy among ACG patients is high. Better preoperative diagnostic methods for zonulopathy are needed. Zonulopathy is common in ACG patients, especially in AACG patients, suggesting that zonulopathy may be related to the pathogenesis of ACG. The shallower the ACD, the riskier the zonulopathy. ACD differences between two eyes and ACG types (including AACG and CACG) were related risk factors of zonulopathy.(This article was published ahead of print on the Online-First Publishing Platform for Excellent Scientific Researches of Chinese Medical Association Publishing House on March 11, 2022).
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Xie L, Li C, Lei Q, Fan C, Du Y, Guo J, Weng K, Guo Q. Preliminary Evaluation of Postoperative Radiotherapy between Small T-Shaped Field and All Regional Lymph Nodes Field in Thoracic Esophageal Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Zhao X, Tang Y, Wu H, Wang X, Guo Q, Zhang Y, Shi M, Wen G, Cheng J, Wang H, Liu M, Song Y, Liu Y, Chen B, Qi S, Li N, Tang Y, Lu N, Lu N, Zhang N, LI Y, Wang S. Relationship between Age and Prognosis in Patients with pT1-2N1 breast cancer: 50 years may be a Reasonable Cut-Off for Radiation Therapy Decision-Making. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Luo R, Fan C, Jiang G, Hu F, Wang L, Guo Q, Zou M, Wang Y, Wang T, Sun Y, Peng X. Andrographolide restored production performances and serum biochemical indexes and attenuated organs damage in Mycoplasma gallisepticum-infected broilers. Br Poult Sci 2022; 64:164-175. [PMID: 36222587 DOI: 10.1080/00071668.2022.2128987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
1. This study aimed to study the preventive and therapeutic effects of andrographolide (Andro) during Mycoplasma gallisepticum HS strain (MG) infection in ArborAcres (AA) broilers.2. The minimum inhibitory concentration (MIC) of Andro against MG was measured. Broiler body weight, feed efficiency, morbidity, cure rate and mortality were recorded during the experiment. Air sac lesion scores and immune organ index were calculated. Expression of pMGA1.2 in lung tissue and serum biochemical indices were examined. Histopathological examinations of immune organs, liver, trachea and lung tissue were conducted by Haematoxylin and Eosin stain.3. MIC was 3.75 μg/mL and Andro significantly inhibited the expression of pMGA1.2 (P ≤ 0.05). Compared with control MG-infected group, Andro low-dose and high-dose prevention reduced the morbidity of chronic respiratory disease in 40.00% and 50.00%, respectively. Mortality of C, D and E group was 16.67%, 10.00% and 6.67%, respectively. Cure rate of E, F, G and H group was 92.00%, 92.86%, 93.33% and 100.0%, respectively. Compared with control MG-infected group, Andro treatment significantly increased average weight gain (AWG), relative weight gain rate (RWG) and feed conversion rate (FCR) at 18 to 24 days (P ≤ 0.05). Compared with control group, Andro alone treatment significantly increased AWG in broilers (P ≤ 0.05).4. Compared with control MG-infected group, Andro significantly attenuated MG-induced air sac lesion, immune organs, liver, trachea and lung damage in broilers. Andro alone treatment did not induce abnormal morphological changes in these organs in healthy broilers. Serum biochemical analysis results showed, comparing with control MG-infected group, Andro significantly decreased the content of total protein, albumin, globulin, alanine aminotransferase, aspartate aminotransferase, total bilirubin, urea, creatinine, uric acid, total cholesterol, and increased the albumin/globulin ratio and content of alkaline phosphatase, apolipoprotein B and apolipoprotein A-I in a dose-dependent manner (P ≤ 0.05).5. Andro could act as a potential agent against MG infection in broilers.
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Guo Q, Wang X, Guo RF, Guo YY, Yan Y, Gong W, Zheng W, Wang H, Xu L, Ai H, Que B, Nie SP. [The value of CMR high-risk attributes in predicting ventricular remodeling in ST-segment-elevation myocardial infarction patients with mildly reduced or preserved ejection fraction]. ZHONGHUA XIN XUE GUAN BING ZA ZHI 2022; 50:864-872. [PMID: 36096703 DOI: 10.3760/cma.j.cn112148-20220611-00462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the predictive value of a multiparametric cardiac magnetic resonance (CMR) approach for ventricular remodeling in ST-segment-elevation myocardial infarction (STEMI) patients with mildly reduced or preserved left ventricular ejection fraction (LVEF). Methods: This study is a prospective cohort study. STEMI patients with acute LVEF>40% after primary percutaneous coronary intervention (PCI) in Beijing Anzhen Hospital from October 2019 to September 2021 were enrolled. All patients received acute (3-7 days) and follow-up (3 months) CMR post-PCI. According to absence or presence of ventricular remodeling, patients were divided into ventricular remodeling group and non-ventricular remodeling group. Basic clinical characteristics and CMR indicators were analyzed and compared between the two groups. Logistic regression and receiver operating characteristic (ROC) curves were used to explore the predictive performance of CMR high-risk attributes for ventricular remodeling in STEMI patients with mildly reduced or preserved LVEF. The predictive value of combining multiple high-risk characteristics of CMR for ventricular remodeling was analyzed and compared with the traditional clinical risk factor model. Results: A total of 123 STEMI patients were enrolled (aged (57.1±11.1) years, 102 (82.9%) males). There were 97 cases (78.9%) patients in the non-ventricular remodeling group and 26 cases (21.1%) in the ventricular remodeling group. After adjustment for clinical risk factors, stroke volume<51.6 ml, global circumferential strain>-13.7%, infarct size>39.2%, microvascular obstruction>0.5%, and myocardial salvage index<43.9 were independently associated with ventricular remodeling in STEMI patients with mildly reduced or preserved LVEF. The incidence of ventricular remodeling increased with the increasing number of CMR high-risk attributes (P<0.01). The number of CMR high-risk attributes ≥3 was an independent predictor of adverse remodeling (adjusted OR=5.95, 95 CI%: 2.25-15.72, P<0.01) in STEMI patients with mildly reduced or preserved LVEF. Furthermore, the number of CMR high-risk attributes had incremental predictive value over baseline clinical risk factors (area under curve: 0.843 vs. 0.696, P<0.01). Conclusions: In STEMI patients with mild reduced or preserved LVEF, 5 CMR characteristics are associated with ventricular remodeling. The combination of ≥3 CMR high-risk characteristics is an independent predictor of ventricular remodeling, which has incremental predictive value beyond traditional risk factors in this patient cohort.
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Fang Y, Pan H, Shou J, Chen J, Guo Q, Hong W, Rao C, Wang Y, Lu L, Yang X, Zhu D, Lan F. 1036P Anlotinib plus docetaxel vs. docetaxel as 2nd-line treatment of advanced non-small cell lung cancer (NSCLC): Updated results from ALTER-L016. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Yang G, Sun X, Yang H, Luo G, Zheng Y, Huang M, Wang Z, Cai P, He H, Xiang J, Cai M, Fu J, Liu Q, Yi H, Zhong J, Huang Y, Guo Q, Zhang X. 1256P Three courses of neoadjuvant camrelizumab combined with chemotherapy in locally advanced esophageal squamous cell carcinoma (ESCC): A prospective phase II clinical trial. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Diao X, Chen Y, Lin J, Xu M, Cao P, Peng Y, Wu H, Guo Q, Huang F, Mao H, Yu X, Xie X, Yang X. Mesenteric elasticity assessed by shear wave elastography and its relationship with peritoneal function in peritoneal dialysis patients. Clin Kidney J 2022; 16:69-77. [PMID: 36726426 PMCID: PMC9871847 DOI: 10.1093/ckj/sfac192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Indexed: 02/04/2023] Open
Abstract
Background We evaluated the mesenteric elasticity in patients undergoing continuous ambulatory peritoneal dialysis (CAPD) using shear wave elastography (SWE) and investigated its relationships with peritoneal function. Methods Patients were recruited in our peritoneal dialysis (PD) centre between 15 July 2019 and 31 December 2021 and followed up to 31 March 2022. Twelve chronic kidney disease (CKD) patients and nineteen healthy people were included as controls. Correlation, linear regression and Cox regression analyses were applied. Results Of the 218 PD patients, 104 (47.8%) were male. Their mean age was 48.0 ± 13.2 years and the median PD duration was 59.0 months [interquartile range (IQR) 17.0-105]. The median mesenteric SWE value was 8.15 kPa (IQR 5.20-16.1). The mesenteric SWE values of patients with a PD duration of <3 months [5.20 kPa (IQR 3.10-7.60)] were not significantly different from those of CKD patients [4.35 kPa (IQR 2.63-5.20), P = .17] and healthy controls [3.60 kPa (IQR 2.90-5.10), P = .13] but were lower than those of patients with a PD duration of 3 months-5 years [6.40 kPa (IQR 4.10-10.5), P < .001], 5-10 years [11.9 kPa (IQR 7.40-18.2), P < .001] and >10 years [19.3 kPa (IQR 11.7-27.3), P < .001]. Longer PD duration (β = 0.58, P < .001), high effluent interleukin-6 (β = 0.61, P = .001) and low effluent cancer antigen 125 (β = -0.34, P = .03) were independently associated with low mesenteric elasticity. The mesenteric SWE value was independently correlated with the dialysate:plasma creatinine ratio (β = 0.39, P = .01) and negatively correlated with the total daily fluid volume removed (β = -0.17, P = .03). High mesenteric SWE values were an independent risk factor for death-censored technique failure [adjusted hazard ratio 4.14 (95% confidence interval 1.25-13.7), P = .02). Conclusions SWE could be used to non-invasively characterize peritoneal textural changes, which were closely associated with changes in peritoneal function.
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Dong J, Jin S, Guo J, Yang R, Tian D, Xue H, Xiao L, Guo Q, Wang R, Xu M, Teng X, Wu Y. Pharmacological inhibition of eIF2alpha phosphorylation by integrated stress response inhibitor (ISRIB) ameliorates vascular calcification in rats. Physiol Res 2022; 71:379-388. [PMID: 35616039 DOI: 10.33549/physiolres.934797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Vascular calcification (VC) is an independent risk factor for cardiovascular events and all-cause mortality with the absence of current treatment. This study aimed to investigate whether eIF2alpha phosphorylation inhibition could ameliorate VC. VC in rats was induced by administration of vitamin D3 (3×10(5) IU/kg, intramuscularly) plus nicotine (25 mg/kg, intragastrically). ISRIB (0.25 mg/kg·week), an inhibitor of eIF2alpha phosphorylation, ameliorated the elevation of calcium deposition and ALP activity in calcified rat aortas, accompanied by amelioration of increased SBP, PP, and PWV. The decreased protein levels of calponin and SM22alpha, and the increased levels of RUNX2 and BMP2 in calcified aorta were all rescued by ISRIB, while the increased levels of the GRP78, GRP94, and C/EBP homologous proteins in rats with VC were also attenuated. Moreover, ISRIB could prevent the elevation of eIF2alpha phosphorylation and ATF4, and partially inhibit PERK phosphorylation in the calcified aorta. These results suggested that an eIF2alpha phosphorylation inhibitor could ameliorate VC pathogenesis by blocking eIF2alpha/ATF4 signaling, which may provide a new target for VC prevention and treatment.
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