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Guo D, Li S, Xiao X, Jiang Y, Wang Y, Jin G, Wang J, Ouyang J, Jia X, Sun W, Wang P, Zheng D, Zhang Q. Clinical and Genetic Landscape of Ectopia Lentis Based on a Cohort of Patients From 156 Families. Invest Ophthalmol Vis Sci 2024; 65:20. [PMID: 38190127 PMCID: PMC10777873 DOI: 10.1167/iovs.65.1.20] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 12/19/2023] [Indexed: 01/09/2024] Open
Abstract
Purpose To extend the mutation spectrum and explore the characteristics of genotypes and ocular phenotypes in ectopia lentis (EL). Methods Variants in all 14 reported EL-associated genes were selected from in-house data sets as well as literature review, and available clinical data were analyzed. Results Likely pathogenic variants in three genes were identified in 156 unrelated families with EL from the in-house cohort, of which 97.4% resulted from variants in FBN1, whereas the remaining were caused by variants in ADAMTSL4 (1.3%) and LTBP2 (1.3%). A comparative analysis of the in-house data and literature review suggested several characteristics: (1) a higher proportion of cysteine involvement variants in FBN1, either variants introducing or eliminating cysteine, and an earlier diagnosis age were presented in our cohort than in published literature; (2) the axial length (AL) and refractive error increased more rapidly with age in preschool EL children than normal children, and the increased rate of AL was slower in patients with surgery than those without surgery; (3) aberrant astigmatism was common in EL; and (4) worse vision and earlier onset age were observed in patients with non-FBN1 variants (all P < 0.05). Conclusions Variants in FBN1 are the predominant cause of EL, with the most common cysteine involvement variants. Early-stage EL manifests refractive error but gradually converts to axial myopia through defocus introduced by lens dislocation. Aberrant astigmatism is a suggestive sign of EL. Non-FBN1 variants cause early-onset and severe phenotypes. These results provide evidence for early diagnosis as well as timely treatment for EL.
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Wang X, Zhu N, Zeng W, Wang P. Hemoglobin variability in patients receiving EPO and roxadustat during maintenance hemodialysis: a self-control study. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2024; 28:303-309. [PMID: 38235900 DOI: 10.26355/eurrev_202401_34917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
OBJECTIVE The aim of this study was to investigate the hemoglobin variability in patients undergoing maintenance hemodialysis during the application of erythropoietin (EPO) and roxadustat. PATIENTS AND METHODS For this retrospective study, we analyzed the clinical records of 80 patients with renal anemia on maintenance hemodialysis (MHD) admitted to our hospital between January 2017 and December 2022. We adopted a self-control design comparing the hemoglobin variability of the values before and after roxadustat administration in each patient. The patients received EPO from January 2017 to December 2019 and roxadustat from January 2020 to December 2022. We compared the levels of serum ferritin, transferrin saturation, and hemoglobin and calculated the hemoglobin variabilities by comparing values before and after roxadustat treatments. RESULTS We found higher transferrin saturation levels at different time points after the roxadustat treatments (p<0.01); meanwhile, the serum ferritin and hemoglobin levels were significantly higher after the roxadustat treatment (p<0.001). During the treatments with EPO and roxadustat, the transferrin saturation, serum ferritin, and hemoglobin levels differed significantly at different time points for each patient (p<0.05). After roxadustat administration, the hemoglobin levels were significantly higher than after EPO administration (p<0.001) and changed more rapidly after roxadustat administration than after EPO administration (p<0.05). The hemoglobin variability after roxadustat administration was significantly lower than that after EPO administration (p<0.05). CONCLUSIONS Treatment with roxadustat led to higher hemoglobin levels and less hemoglobin variability than the treatment with EPO, with high transferrin saturation and higher ferritin levels in patients with renal anemia on MHD.
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Wang J, Shi HD, Wang P, Wu YG, Wang LL, Song ZL. [Analysis of early diagnosis and prevention techniques for occupational pneumoconiosis based on patent perspectives in China's coal industry]. ZHONGHUA LAO DONG WEI SHENG ZHI YE BING ZA ZHI = ZHONGHUA LAODONG WEISHENG ZHIYEBING ZAZHI = CHINESE JOURNAL OF INDUSTRIAL HYGIENE AND OCCUPATIONAL DISEASES 2023; 41:948-955. [PMID: 38195234 DOI: 10.3760/cma.j.cn121094-20230106-00008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Occupational pneumoconiosis in the coal industry is an occupational disease that seriously endangers coal miners' health. Early diagnosis and prevention techniques are significant in controlling its incidence rate and reducing its harm. This article takes the patent data related to the early diagnosis and prevention of occupational pneumoconiosis in the coal industry, published from 1985 to 2021, as the research object. It uses tools such as the Derwent Data Analyzer (DDA) software, the Patyee Database, and the PatSnap Database to analyze the technological development trend and characteristics in this field from aspects of growth trend, primary patent holders, IPC classification layout, value, and research and development hotspots. The results show that the number of patent applications in this field indicates a rapid growth trend, mainly in the hands of Shandong Energy Group Co. Ltd., Shandong University of Science and Technology, China University of Mining and Technology, and other institutions or enterprises. Patent technology mainly involves spray dust reduction, dust removal fans, dust masks, and other aspects with high patent value and innovation ability. This article provides a new perspective and reference for preventing, diagnosing, and treating occupational pneumoconiosis in the coal industry.
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Zhang H, Wang J, Zhang S, Tong S, Hu J, Che Y, Zhuo L, Wang P, Geng R, Zhou Y, Wang P, Zhan S, Li B. Relationship between night shift and sleep problems, risk of metabolic abnormalities of nurses: a 2 years follow-up retrospective analysis in the National Nurse Health Study (NNHS). Int Arch Occup Environ Health 2023; 96:1361-1371. [PMID: 37874403 PMCID: PMC10635907 DOI: 10.1007/s00420-023-02014-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/25/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND AND PURPOSE Efforts to improve nurses' physical and mental health are critical to ensuring the safety and quality of the healthcare system. Long-term studies targeting the relevancy of nurses' occupation characteristics with health conditions remain insufficient. This study aimed to examine the relationship between nurses' night shift and sleep problems and metabolic abnormalities risk. METHODS This study was a part of the National Nurse Health Study, an ambispective cohort study in China, in 2021. Based on an integration physical examination data system, this study carried out a retrospective analysis of 730 nurses from 2018 to 2020 and combined with a questionnaire survey in 2021. The STROBE guidelines were adopted for reporting. RESULTS In the 23 (23.0, 24.0) months follow-up, higher night shift load was associated with more sleep problems such as shortened sleep duration, sleep disorders, poor sleep quality, and sleep deprivation. Moreover, night shift load was associated with chronic diseases risk factors, increasing body mass index and body fat, with more night shift density, increasing the occurrence of low levels of high-density lipoprotein cholesterol, high triglyceride, triglyceride/high-density lipoprotein cholesterol ratio, and serum uric acid. CONCLUSION The night shift load has become an occupational health concern, contributing to chronic diseases relevant metabolic risk factors and negative influence on sleep health. Focus on the strategies to improve the sleep quality of nurses undergoing night shift work, optimize work scheduling and ongoing monitor the relevant risk factors are essential to enhance the stability and well-being of the nursing workforce. CLINICAL TRIALS REGISTRATION INFORMATION NCT04572347, on October 1, 2020. https://www. CLINICALTRIALS gov/ct2/show/NCT04572347.
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Huang W, Liu X, Cheng P, Li Y, Zhou H, Liu Y, Dong Y, Wang P, Xu C, Xu X. Prognostic value of plaque volume combined with CT fractional flow reserve in patients with suspected coronary artery disease. Clin Radiol 2023; 78:e1048-e1056. [PMID: 37788967 DOI: 10.1016/j.crad.2023.08.024] [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: 01/17/2023] [Revised: 08/08/2023] [Accepted: 08/30/2023] [Indexed: 10/05/2023]
Abstract
AIM To investigate the prognostic value of quantitative plaque volume on coronary computed tomography (CT) angiography (CTA) combined with CT fractional flow reserve (CT-FFR) for major adverse cardiac events (MACE) in suspected coronary artery disease (CAD) patients. MATERIALS AND METHODS Patients who underwent coronary CTA with clinically suspected CAD were enrolled retrospectively in this study. Patients' baseline, Framingham Risk Score (FRS), coronary CTA plaque assessment, and CT-FFR were analysed retrospectively. Study outcomes included rehospitalisation and MACE (ST-segment elevation myocardial infarction, unstable angina, or non-ST-segment elevation myocardial infarction, revascularisation, and cardiac death). RESULTS There were 251 patients in the study, with a follow-up period of 1-6.58 years. Mean age was 61.16 ± 10.45 years and 146 (58%) patients were male. Higher CT-adapted Leaman score and quantitative plaque volume were found in patients with FRS >0.2 regardless of categorical or continuous variables. Coronary scores, quantitative plaque parameters, and CT-FFR were associated with MACE and rehospitalisation in univariate analysis. In model 1, CT-FFR was associated with MACE in multivariate Cox analysis when adjusted for FRS and CT-adapted Leaman score. Quantitative plaque parameters including calcified plaque volume, fibro-fatty plaque volume, low-attenuation plaque volume, non-calcified plaque volume, and total plaque volume were significantly associated with MACE and improved overall prognostic performance in a model adjusted for CT-FFR. CONCLUSION Additional quantitative plaque volume and CT-FFR further improve the predictive incremental value based on risk factor scores for prognostic prediction in patients. Adding quantitative plaque volume combined with CT-FFR analysis to anatomical and clinical assessment will be further beneficial to predict patients' prognosis of MACE.
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Li X, Wang Y, Wang J, Wang P, Zhang Q. Double Hyperautofluorescence Rings as a Sign of CFAP410-related Retinopathy. Invest Ophthalmol Vis Sci 2023; 64:44. [PMID: 38153748 PMCID: PMC10756245 DOI: 10.1167/iovs.64.15.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 12/04/2023] [Indexed: 12/29/2023] Open
Abstract
Purpose Variants in CFAP410 have been reported to cause retinal dystrophy with or without systemic symptoms. This study was designed to characterize the fundus changes of patients with biallelic variants in CFAP410. Methods Variants in CFAP410 were identified through whole exome sequencing and targeted exome sequencing of 10,530 probands. Biallelic variants in CFAP410 were evaluated by comprehensive in silico analysis and confirmed by Sanger sequencing and segregation analysis. Ocular phenotypes including fundus photographs, scanning laser ophthalmoscopy, autofluorescence images, ERG, and optical coherence tomography were characterized. Results Nine patients from eight families were homozygotes or compound heterozygotes for a total of four variants in CFAP410, including c.144-6_159del (novel), c.340_351dup, c.347C>T, and c.545+1G>A. Three patients were diagnosed with cone-rod dystrophy, and the remaining six patients with RP. Among eight patients performed with ultra-wide scanning laser ophthalmoscopy, double hyperautofluorescence rings inside and outside of the macular vascular arcades were observed in six patients, and the remaining two older patients demonstrated single hyperautofluorescence ring surrounded by pigmentation. CFAP410-associated retinopathy in early stage was generally tapetoretinal degeneration without noticeable bone spicule pigmentation, with more severe degeneration in the inferior nasal retina. ERG recordings delineated a severely reduced cone response and mildly to severely reduced rod response. Posterior staphyloma was seen in seven patients who underwent optical coherence tomography examinations. Conclusions The present study demonstrates the fundus characteristics of patients with biallelic variants in CFAP410 and expands the genotype-phenotype spectrum of CFAP410-related retinal degeneration, in which posterior staphyloma together with double hyperautofluorescence rings might be common peculiar signs.
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Xie QP, Wang P. [Development and prospect of total endoscopic selective lateral neck dissection in differentiated thyroid cancer]. ZHONGHUA WAI KE ZA ZHI [CHINESE JOURNAL OF SURGERY] 2023; 62:40-44. [PMID: 38044606 DOI: 10.3760/cma.j.cn112139-20230408-00148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
In recent years, the consensus has confirmed the high lymph node metastasis rate of thyroid papillary cancer (PTC) and the characteristics of its sequential metastasis and intranodal metastasis. Guidelines for the diagnosis and management of thyroid nodules and differentiated thyroid cancer (second edition) proposed the concept of "selective lymph node dissection", a strategy that provides a promising outlook for endoscopic lateral neck dissection for PTC. Among various approaches, the transthoracic approach has been widely recognized for its simplicity, safety, feasibility, and wide range of indications. Years of practical exploration have shown that the four-zone seven-step selective dissection method through the transthoracic approach can achieve the same effect as open surgery without increasing the incidence of related complications. Therefore, for young patients with cosmetic needs, this operation has a very broad clinical prospective.
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Zhou W, Jiang Z, Yi Z, Ouyang J, Li X, Zhang Q, Wang P. Defect of TIMP4 Is Associated with High Myopia and Participates in Rat Ocular Development in a Dose-Dependent Manner. Int J Mol Sci 2023; 24:16928. [PMID: 38069250 PMCID: PMC10707432 DOI: 10.3390/ijms242316928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Thinning of the sclera happens in myopia eyes owing to extracellular matrix (ECM) remodeling, but the initiators of the ECM remodeling in myopia are mainly unknown. The matrix metalloproteinase (MMPs) and tissue inhibitors of matrix metalloproteinase (TIMPs) regulate the homeostasis of the ECM. However, genetic studies of the MMPs and TIMPs in the occurrence of myopia are poor and limited. This study systematically investigated the association between twenty-nine genes of the TIMPs and MMPs families and early-onset high myopia (eoHM) based on whole exome sequencing data. Two TIMP4 heterozygous loss-of-function (LoF) variants, c.528C>A in six patients and c.234_235insAA in one patient, were statistically enriched in 928 eoHM probands compared to that in 5469 non-high myopia control (p = 3.7 × 10-5) and that in the general population (p = 2.78 × 10-9). Consequently, the Timp4 gene editing rat was further evaluated to explore the possible role of Timp4 on ocular and myopia development. A series of ocular morphology abnormalities in a dose-dependent manner (Timp4-/- < Timp4+/- < Timp4+/+) were observed in a rat model, including the decline in the retinal thickness, the elongation in the axial length, more vulnerable to the form deprivation model, morphology changes in sclera collagen bundles, and the decrease in collagen contents of the sclera and retina. Electroretinogram revealed that the b-wave amplitudes of Timp4 defect rats were significantly reduced, consistent with the shorter length of the bipolar axons detected by HE and IF staining. Heterozygous LoF variants in the TIMP4 are associated with early onset high myopia, and the Timp4 defect disturbs ocular development by influencing the morphology and function of the ocular tissue.
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Aad G, Abbott B, Abbott DC, Abeling K, Abidi SH, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Abusleme Hoffman AC, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Addepalli SV, Adelman J, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agaras MN, Agarwala J, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ahuja S, Ai X, Aielli G, Aizenberg I, Akbiyik M, Åkesson TPA, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Albicocco P, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Amelung C, Ames CG, Amidei D, Amor Dos Santos SP, Amoroso S, Amos KR, Amrouche CS, Ananiev V, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Angelidakis S, Angerami A, Anisenkov AV, Annovi A, Antel C, Anthony MT, Antipov E, Antonelli M, Antrim DJA, Anulli F, Aoki M, Aparisi Pozo JA, Aparo MA, Aperio Bella L, Appelt C, Aranzabal N, Araujo Ferraz V, Arcangeletti C, Arce ATH, Arena E, Arguin JF, Argyropoulos S, Arling JH, Armbruster AJ, Arnaez O, Arnold H, Arrubarrena Tame ZP, Artoni G, Asada H, Asai K, Asai S, Asbah NA, Asimakopoulou EM, Assahsah J, Assamagan K, Astalos R, Atkin RJ, Atkinson M, Atlay NB, Atmani H, Atmasiddha PA, Augsten K, Auricchio S, Auriol AD, Austrup VA, Avner G, Avolio G, Axiotis K, Ayoub MK, Azuelos G, Babal D, Bachacou H, Bachas K, Bachiu A, Backman F, Badea A, Bagnaia P, Bahmani M, Bailey AJ, Bailey VR, Baines JT, Bakalis C, Baker OK, Bakker PJ, Bakos E, Bakshi Gupta D, Balaji S, Balasubramanian R, Baldin EM, Balek P, Ballabene E, Balli F, Baltes LM, Balunas WK, Balz J, Banas E, Bandieramonte M, Bandyopadhyay A, Bansal S, Barak L, Barberio EL, Barberis D, Barbero M, Barbour G, Barends KN, Barillari T, Barisits MS, Barkeloo J, Barklow T, Barnett RM, Baron P, Baron Moreno DA, Baroncelli A, Barone G, Barr AJ, Barranco Navarro L, Barreiro F, Barreiro Guimarães da Costa J, Barron U, Barros Teixeira MG, Barsov S, Bartels F, Bartoldus R, Barton AE, Bartos P, Basalaev A, Basan A, Baselga M, Bashta I, Bassalat A, Basso MJ, Basson CR, Bates RL, Batlamous S, Batley JR, Batool B, Battaglia M, Bauce M, Bauer P, Bayirli A, Beacham JB, Beau T, Beauchemin PH, Becherer F, Bechtle P, Beck HP, Becker K, Becot C, Beddall AJ, Bednyakov VA, Bee CP, Beemster LJ, Beermann TA, Begalli M, Begel M, Behera A, Behr JK, Beirao Da Cruz E Silva C, Beirer JF, Beisiegel F, Belfkir M, Bella G, Bellagamba L, Bellerive A, Bellos P, Beloborodov K, Belotskiy K, Belyaev NL, Benchekroun D, Bendebba F, Benhammou Y, Benjamin DP, Benoit M, Bensinger JR, Bentvelsen S, Beresford L, Beretta M, Berge D, Bergeaas Kuutmann E, Berger N, Bergmann B, Beringer J, Berlendis S, Bernardi G, Bernius C, Bernlochner FU, Berry T, Berta P, Berthold A, Bertram IA, Bessidskaia Bylund O, Bethke S, Betti A, Bevan AJ, Bhamjee M, Bhatta S, Bhattacharya DS, Bhattarai P, Bhopatkar VS, Bi R, Bi R, Bianchi RM, Biebel O, Bielski R, Biesuz NV, Biglietti M, Billoud TRV, Bindi M, Bingul A, Bini C, Biondi S, Biondini A, Birch-Sykes CJ, Bird GA, Birman M, Bisanz T, Biswas D, Bitadze A, Bjørke K, Bloch I, Blocker C, Blue A, Blumenschein U, Blumenthal J, Bobbink GJ, Bobrovnikov VS, Boehler M, Bogavac D, Bogdanchikov AG, Bohm C, Boisvert V, Bokan P, Bold T, Bomben M, Bona M, Boonekamp M, Booth CD, Borbély AG, Borecka-Bielska HM, Borgna LS, Borissov G, Bortoletto D, Boscherini D, Bosman M, Bossio Sola JD, Bouaouda K, Boudreau J, Bouhova-Thacker EV, Boumediene D, Bouquet R, Boveia A, Boyd J, Boye D, Boyko IR, Bracinik J, Brahimi N, Brandt G, Brandt O, Braren F, Brau B, Brau JE, Breaden Madden WD, Brendlinger K, Brener R, Brenner L, Brenner R, Bressler S, Brickwedde B, Britton D, Britzger D, Brock I, Brooijmans G, Brooks WK, Brost E, Bruckman de Renstrom PA, Brüers B, Bruncko D, Bruni A, Bruni G, Bruschi M, Bruscino N, Bryngemark L, Buanes T, Buat Q, Buchholz P, Buckley AG, Budagov IA, Bugge MK, Bulekov O, Bullard BA, Burdin S, Burgard CD, Burger AM, Burghgrave B, Burr JTP, Burton CD, Burzynski JC, Busch EL, Büscher V, Bussey PJ, Butler JM, Buttar CM, Butterworth JM, Buttinger W, Buxo Vazquez CJ, Buzykaev AR, Cabras G, Cabrera Urbán S, Caforio D, Cai H, Cai Y, Cairo VMM, Cakir O, Calace N, Calafiura P, Calderini G, Calfayan P, Callea G, Caloba LP, Calvet D, Calvet S, Calvet TP, Calvetti M, Camacho Toro R, Camarda S, Camarero Munoz D, Camarri P, Camerlingo MT, Cameron D, Camincher C, Campanelli M, Camplani A, Canale V, Canesse A, Cano Bret M, Cantero J, Cao Y, Capocasa F, Capua M, Carbone A, Cardarelli R, Cardenas JCJ, Cardillo F, Carli T, Carlino G, Carlson BT, Carlson EM, Carminati L, Carnesale M, Caron S, Carquin E, Carrá S, Carratta G, Carrio Argos F, Carter JWS, Carter TM, Casado MP, Casha AF, Castiglia EG, Castillo FL, Castillo Garcia L, Castillo Gimenez V, Castro NF, Catinaccio A, Catmore JR, Cavaliere V, Cavalli N, Cavasinni V, Celebi E, Celli F, Centonze MS, Cerny K, Cerqueira AS, Cerri A, Cerrito L, Cerutti F, Cervelli A, Cetin SA, Chadi Z, Chakraborty D, Chala M, Chan J, Chan WS, Chan WY, Chapman JD, Chargeishvili B, Charlton DG, Charman TP, Chatterjee M, Chekanov S, Chekulaev SV, Chelkov GA, Chen A, Chen B, Chen B, Chen C, Chen H, Chen H, Chen J, Chen J, Chen S, Chen SJ, Chen X, Chen X, Chen Y, Cheng CL, Cheng HC, Cheplakov A, Cheremushkina E, Cherepanova E, Cherkaoui El Moursli R, Cheu E, Cheung K, Chevalier L, Chiarella V, Chiarelli G, Chiodini G, Chisholm AS, Chitan A, Chiu YH, Chizhov MV, Choi K, Chomont AR, Chou Y, Chow EYS, Chowdhury T, Christopher LD, Chu KL, Chu MC, Chu X, Chudoba J, Chwastowski JJ, Cieri D, Ciesla KM, Cindro V, Ciocio A, Cirotto F, Citron ZH, Citterio M, Ciubotaru DA, Ciungu BM, Clark A, Clark PJ, Clavijo Columbie JM, Clawson SE, Clement C, Clercx J, Clissa L, Coadou Y, Cobal M, Coccaro A, Coelho Barrue RF, Coelho Lopes De Sa R, Coelli S, Cohen H, Coimbra AEC, Cole B, Collot J, Conde Muiño P, Connell SH, Connelly IA, Conroy EI, Conventi F, Cooke HG, Cooper-Sarkar AM, Cormier F, Corpe LD, Corradi M, Corrigan EE, Corriveau F, Cortes-Gonzalez A, Costa MJ, Costanza F, Costanzo D, Cote BM, Cowan G, Cowley JW, Cranmer K, Crépé-Renaudin S, Crescioli F, Cristinziani M, Cristoforetti M, Croft V, Crosetti G, Cueto A, Cuhadar Donszelmann T, Cui H, Cui Z, Cukierman AR, Cunningham WR, Curcio F, Czodrowski P, Czurylo MM, Da Cunha Sargedas De Sousa MJ, Da Fonseca Pinto JV, Da Via C, Dabrowski W, Dado T, Dahbi S, Dai T, Dallapiccola C, Dam M, D'amen G, D'Amico V, Damp J, Dandoy JR, Daneri MF, Danninger M, Dao V, Darbo G, Darmora S, Das SJ, Dattagupta A, D'Auria S, David C, Davidek T, Davis DR, Davis-Purcell B, Dawson I, De K, De Asmundis R, De Beurs M, De Castro S, De Groot N, de Jong P, De la Torre H, De Maria A, De Salvo A, De Sanctis U, De Santis M, De Santo A, De Vivie De Regie JB, Dedovich DV, Degens J, Deiana AM, Del Corso F, Del Peso J, Del Rio F, Deliot F, Delitzsch CM, Della Pietra M, Della Volpe D, Dell'Acqua A, Dell'Asta L, Delmastro M, Delsart PA, Demers S, Demichev M, Denisov SP, D'Eramo L, Derendarz D, Derue F, Dervan P, Desch K, Dette K, Deutsch C, Deviveiros PO, Di Bello FA, Di Ciaccio A, Di Ciaccio L, Di Domenico A, Di Donato C, Di Girolamo A, Di Gregorio G, Di Luca A, Di Micco B, Di Nardo R, Diaconu C, Dias FA, Dias Do Vale T, Diaz MA, Diaz Capriles FG, Didenko M, Diehl EB, Diehl L, Díez Cornell S, Diez Pardos C, Dimitriadi C, Dimitrievska A, Ding W, Dingfelder J, Dinu IM, Dittmeier SJ, Dittus F, Djama F, Djobava T, Djuvsland JI, Dodsworth D, Doglioni C, Dolejsi J, Dolezal Z, Donadelli M, Dong B, Donini J, D'Onofrio A, D'Onofrio M, Dopke J, Doria A, Dova MT, Doyle AT, Draguet MA, Drechsler E, Dreyer E, Drivas-Koulouris I, Drobac AS, Du D, du Pree TA, Dubinin F, Dubovsky M, Duchovni E, Duckeck G, Ducu OA, Duda D, Dudarev A, D'uffizi M, Duflot L, Dührssen M, Dülsen C, Dumitriu AE, Dunford M, Dungs S, Dunne K, Duperrin A, Duran Yildiz H, Düren M, Durglishvili A, Dwyer BL, Dyckes GI, Dyndal M, Dysch S, Dziedzic BS, Earnshaw ZO, Eckerova B, Eggleston MG, Egidio Purcino De Souza E, Ehrke LF, Eigen G, Einsweiler K, Ekelof T, Ekman PA, El Ghazali Y, El Jarrari H, El Moussaouy A, Ellajosyula V, Ellert M, Ellinghaus F, Elliot AA, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Ene I, Epari S, Erdmann J, Ereditato A, Erland PA, Errenst M, Escalier M, Escobar C, Etzion E, Evans G, Evans H, Evans MO, Ezhilov A, Ezzarqtouni S, Fabbri F, Fabbri L, Facini G, Fadeyev V, Fakhrutdinov RM, Falciano S, Falke PJ, Falke S, Faltova J, Fan Y, Fang Y, Fanourakis G, Fanti M, Faraj M, Farbin A, Farilla A, Farooque T, Farrington SM, Fassi F, Fassouliotis D, Faucci Giannelli M, Fawcett WJ, Fayard L, Fedin OL, Fedotov G, Feickert M, Feligioni L, Fell A, Fellers DE, Feng C, Feng M, Fenton MJ, Fenyuk AB, Ferencz L, Ferguson SW, Ferrando J, 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Steinberg P, Steinhebel AL, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom DM, Strom LR, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Su S, Su W, Su X, Sugizaki K, Sulin VV, Sullivan MJ, Sultan DMS, Sultanaliyeva L, Sultansoy S, Sumida T, Sun S, Sun S, Sunneborn Gudnadottir O, Sutton MR, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Tafoya Vargas JS, Taibah RHM, Takashima R, Takeda K, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka A, Tanaka J, Tanaka R, Tanasini M, Tang J, Tao Z, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tate AC, Tateno G, Tayalati Y, Taylor GN, Taylor W, Teagle H, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Teoh JJ, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thaler A, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas DW, Thomas JP, Thompson EA, Thompson PD, Thomson E, Thorpe EJ, Tian Y, Tikhomirov V, Tikhonov YA, Timoshenko S, Ting EXL, Tipton P, Tisserant S, Tlou SH, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Tombs R, Tomoto M, Tompkins L, Tornambe P, Torrence E, Torres H, Torró Pastor E, Toscani M, Tosciri C, Tovey DR, Traeet A, Trandafir IS, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trocmé B, Trofymov A, Troncon C, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsai M, Tsiamis A, Tsiareshka PV, Tsigaridas S, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsujikawa Y, Tsukerman II, Tsulaia V, Tsuno S, Tsur O, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna AN, Turchikhin S, Turk Cakir I, Turra R, Turtuvshin T, Tuts PM, Tzamarias S, Tzanis P, Tzovara E, Uchida K, Ukegawa F, Ulloa Poblete PA, Unal G, Unal M, Undrus A, Unel G, Uno K, Urban J, Urquijo P, Usai G, Ushioda R, Usman M, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vafeiadis T, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vannicola D, Vannoli L, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varriale L, Varvell KE, Vasile ME, Vaslin L, Vasquez GA, Vazeille F, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veliscek I, Veloce LM, Veloso F, Veneziano S, Ventura A, Verbytskyi A, Verducci M, Vergis C, Verissimo De Araujo M, Verkerke W, Vermeulen JC, Vernieri C, Verschuuren PJ, Vessella M, Vesterbacka ML, Vetterli MC, Vgenopoulos A, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vladimirov V, Voevodina E, Vogel F, Vokac P, Von Ahnen J, Von Toerne E, Vormwald B, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vozdecky L, Vranjes N, Vranjes Milosavljevic M, Vreeswijk M, Vuillermet R, Vujinovic O, Vukotic I, Wada S, Wagner C, Wagner W, Wahdan S, Wahlberg H, Wakasa R, Wakida M, Walbrecht VM, Walder J, Walker R, Walkowiak W, Wang AM, Wang AZ, Wang C, Wang C, Wang H, Wang J, Wang P, Wang RJ, Wang R, Wang R, Wang SM, Wang S, Wang T, Wang WT, Wang WX, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward RJ, Warrack N, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Wei C, Wei Y, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells CJ, Wenaus T, Wendland B, Wengler T, Wenke NS, Wermes N, Wessels M, Whalen K, Wharton AM, White AS, White A, White MJ, Whiteson D, Wickremasinghe L, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilbern DJ, Wilkens HG, Williams DM, Williams HH, Williams S, Willocq S, Windischhofer PJ, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Wongel AF, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu J, Wu M, Wu SL, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xia L, Xia M, Xiang J, Xiao X, Xie M, Xie X, Xiong J, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu R, Xu T, Xu W, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi N, Yamaguchi Y, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yexley MR, Yin P, Yorita K, Young CJS, Young C, Yuan M, Yuan R, Yue L, Yue X, Zaazoua M, Zabinski B, Zaid E, Zakareishvili T, Zakharchuk N, Zambito S, Zang J, Zanzi D, Zaplatilek O, Zeißner SV, Zeitnitz C, Zeng JC, Zenger DT, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang R, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Z, Zhang Z, Zhao H, Zhao P, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine NI, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas TG, Zormpa O, Zou W, Zwalinski L. Observation of Single-Top-Quark Production in Association with a Photon Using the ATLAS Detector. PHYSICAL REVIEW LETTERS 2023; 131:181901. [PMID: 37977601 DOI: 10.1103/physrevlett.131.181901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 08/03/2023] [Accepted: 08/09/2023] [Indexed: 11/19/2023]
Abstract
This Letter reports the observation of single top quarks produced together with a photon, which directly probes the electroweak coupling of the top quark. The analysis uses 139 fb^{-1} of 13 TeV proton-proton collision data collected with the ATLAS detector at the Large Hadron Collider. Requiring a photon with transverse momentum larger than 20 GeV and within the detector acceptance, the fiducial cross section is measured to be 688±23(stat) _{-71}^{+75}(syst) fb, to be compared with the standard model prediction of 515_{-42}^{+36} fb at next-to-leading order in QCD.
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Liu M, Wang P, Xie P, Xu X, He L, Chen X, Zhang S, Lin Y, Huang Y, Xia W, Wang L, Liao X, Guo Y, Zhuang X. Expression of ICAM-1 and E-selectin in different metabolic obesity phenotypes: discrepancy for endothelial dysfunction. J Endocrinol Invest 2023; 46:2379-2389. [PMID: 37071373 DOI: 10.1007/s40618-023-02094-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/06/2023] [Indexed: 04/19/2023]
Abstract
OBJECTIVES Endothelial dysfunction, the earliest vascular alteration, is a consequence of metabolic disorders associated with obesity. However, it is still unclear whether a proportion of obese individuals without metabolic alterations associated with obesity, defined as "metabolically healthy obesity (MHO)", exhibit better endothelial function. We therefore aimed to investigate the association of different metabolic obesity phenotypes with endothelial dysfunction. METHODS The obese participants without clinical cardiovascular disease from the MESA (Multi-Ethnic Study of Atherosclerosis) were allocated to the different metabolic obesity phenotypes based on their metabolic status, including MHO and metabolically unhealthy obesity (MUO). Associations of metabolic obesity phenotypes with the biomarkers of endothelial dysfunction, including soluble intercellular adhesion molecule-1 (sICAM-1) and soluble E-selectin (sE-selectin), were evaluated using multiple linear regression models. RESULTS Plasma levels of sICAM-1 and sE-selectin were respectively measured in 2371 and 968 participants. Compared to the non-obese participants, those with MUO were associated with higher concentrations of sICAM-1 (β 22.04, 95% CI 14.33-29.75, P < 0.001) and sE-selectin (β 9.87, 95% CI 6.00-13.75, P < 0.001) after adjusting for confounders. However, no differences were found for the concentrations of sICAM-1 (β 0.70, 95% CI - 8.91 to 10.32, P = 0.886) and sE-selectin (β 3.69, 95% CI - 1.13 to 8.51, P = 0.133) in the participants with MHO compared to the non-obese participants. CONCLUSIONS Individuals with MUO were associated with elevated biomarkers of endothelial dysfunction, but the association with endothelial dysfunction was not found in those with MHO, indicating that the individuals with MHO might exhibit better endothelial function.
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Author Correction: A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery. Nature 2023; 623:E5. [PMID: 37853131 PMCID: PMC10620074 DOI: 10.1038/s41586-023-06248-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
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Yuan PQ, Lin S, Peng JY, Li YX, Liu YH, Wang P, Zhong HJ, Yang XM, Che LQ, Feng B, Batonon-Alavo DI, Mercier Y, Zhang XL, Lin Y, Xu SY, Li J, Zhuo Y, Wu D, Fang ZF. Effects of dietary methionine supplementation from different sources on growth performance and meat quality of barrows and gilts. Animal 2023; 17:100986. [PMID: 37820406 DOI: 10.1016/j.animal.2023.100986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 08/29/2023] [Accepted: 09/07/2023] [Indexed: 10/13/2023] Open
Abstract
Methionine is indispensable for growth and meat formation in pigs. However, it is still unclear that increasing dietary sulphur-containing amino acid (SAA) levels using different methionine sources affects the growth performance and meat quality of barrows and gilts. To investigate this, 144 pigs (half barrows and half gilts) were fed the control (100% SAA, CON), DL-Methionine (125% SAA, DL-Met)-supplemented, or OH-Methionine (125% SAA, OH-Met)-supplemented diets during the 11-110 kg period. The results showed that plasma methionine levels varied among treatments during the experimental phase, with increased plasma methionine levels observed following increased SAA consumption during the 25-45 kg period. In contrast, pigs fed the DL-Met diet had lower plasma methionine levels than those fed the CON diet (95-110 kg). Additionally, gilts fed the DL-Met or OH-Met diets showed decreased drip loss in longissimus lumborum muscle (LM) compared to CON-fed gilts. OH-Met-fed gilts had higher pH45min values than those fed the CON or DL-Met diets, whereas OH-Met-fed barrows had higher L45min values than those fed the CON or DL-Met diets. Moreover, increased consumption of SAA, regardless of the methionine source, tended to decrease the shear force of the LM in pigs. In conclusion, this study indicates that increasing dietary levels of SAA (+25%) appeared to improve the meat quality of gilts by decreasing drip loss and increasing meat tenderness.
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Aad G, Abbott B, Abbott DC, Abeling K, Abidi SH, Aboulhorma A, Abramowicz H, Abreu H, Abulaiti Y, Abusleme Hoffman AC, Acharya BS, Achkar B, Adam L, Adam Bourdarios C, Adamczyk L, Adamek L, Addepalli SV, Adelman J, Adiguzel A, Adorni S, Adye T, Affolder AA, Afik Y, Agaras MN, Agarwala J, Aggarwal A, Agheorghiesei C, Aguilar-Saavedra JA, Ahmad A, Ahmadov F, Ahmed WS, Ahuja S, Ai X, Aielli G, Aizenberg I, Akbiyik M, Åkesson TPA, Akimov AV, Al Khoury K, Alberghi GL, Albert J, Albicocco P, Alconada Verzini MJ, Alderweireldt S, Aleksa M, Aleksandrov IN, Alexa C, Alexopoulos T, Alfonsi A, Alfonsi F, Alhroob M, Ali B, Ali S, Aliev M, Alimonti G, Allaire C, Allbrooke BMM, Allport PP, Aloisio A, Alonso F, Alpigiani C, Alunno Camelia E, Alvarez Estevez M, Alviggi MG, Amaral Coutinho Y, Ambler A, Amelung C, Ames CG, Amidei D, Amor Dos Santos SP, Amoroso S, Amos KR, Amrouche CS, Ananiev V, Anastopoulos C, Andari N, Andeen T, Anders JK, Andrean SY, Andreazza A, Angelidakis S, Angerami A, Anisenkov 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Dumitriu AE, Dunford M, Dungs S, Dunne K, Duperrin A, Yildiz HD, Düren M, Durglishvili A, Dwyer BL, Dyckes GI, Dyndal M, Dysch S, Dziedzic BS, Earnshaw ZO, Eckerova B, Eggleston MG, Purcino De Souza EE, Ehrke LF, Eigen G, Einsweiler K, Ekelof T, Ekman PA, El Ghazali Y, El Jarrari H, El Moussaouy A, Ellajosyula V, Ellert M, Ellinghaus F, Elliot AA, Ellis N, Elmsheuser J, Elsing M, Emeliyanov D, Emerman A, Enari Y, Ene I, Epari S, Erdmann J, Ereditato A, Erland PA, Errenst M, Escalier M, Escobar C, Etzion E, Evans G, Evans H, Evans MO, Ezhilov A, Ezzarqtouni S, Fabbri F, Fabbri L, Facini G, Fadeyev V, Fakhrutdinov RM, Falciano S, Falke PJ, Falke S, Faltova J, Fan Y, Fang Y, Fanourakis G, Fanti M, Faraj M, Farbin A, Farilla A, Farooque T, Farrington SM, Fassi F, Fassouliotis D, Faucci Giannelli M, Fawcett WJ, Fayard L, Fedin OL, Fedotov G, Feickert M, Feligioni L, Fell A, Fellers DE, Feng C, Feng M, Feng Z, Fenton MJ, Fenyuk AB, Ferencz L, Ferguson SW, Pretel J, Ferrando J, Ferrari A, Ferrari P, Ferrari R, Ferrere D, Ferretti C, Fiedler F, Filipčič A, Filmer EK, Filthaut F, Fiolhais MCN, Fiorini L, Fischer F, Fisher WC, Fitschen T, Fleck I, Fleischmann P, Flick T, Flores L, Flores M, Flores Castillo LR, Follega FM, Fomin N, Foo JH, Forland BC, Formica A, Forti AC, Fortin E, Fortman AW, Foti MG, Fountas L, Fournier D, Fox H, Francavilla P, Francescato S, Franchini M, Franchino S, Francis D, Franco L, Franconi L, Franklin M, Frattari G, Freegard AC, Freeman PM, Freund WS, Fritzsche N, Froch A, Froidevaux D, Frost JA, Fu Y, Fujimoto M, Fullana Torregrosa E, Fuster J, Gabrielli A, Gabrielli A, Gadow P, Gagliardi G, Gagnon LG, Gallardo GE, Gallas EJ, Gallop BJ, Gamboa Goni R, Gan KK, Ganguly S, Gao J, Gao Y, Garay Walls FM, Garcia B, García C, García Navarro JE, García Pascual JA, Garcia-Sciveres M, Gardner RW, Garg D, Garg RB, Gargiulo S, Garner CA, Garonne V, Gasiorowski SJ, Gaspar P, Gaudio G, Gautam V, Gauzzi P, Gavrilenko IL, Gavrilyuk A, Gay C, Gaycken G, Gazis EN, Geanta AA, Gee CM, Geisen J, Geisen M, Gemme C, Genest MH, Gentile S, George S, George WF, Geralis T, Gerlach LO, Gessinger-Befurt P, Ghasemi Bostanabad M, Ghneimat M, Ghosal A, Ghosh A, Ghosh A, Giacobbe B, Giagu S, Giangiacomi N, Giannetti P, Giannini A, Gibson SM, Gignac M, Gil DT, Gilbert AK, Gilbert BJ, Gillberg D, Gilles G, Gillwald NEK, Ginabat L, Gingrich DM, Giordani MP, Giraud PF, Giugliarelli G, Giugni D, Giuli F, Gkialas I, Gladilin LK, Glasman C, Gledhill GR, Glisic M, Gnesi I, Go Y, Goblirsch-Kolb M, Godin D, Goldfarb S, Golling T, Gololo MGD, Golubkov D, Gombas JP, Gomes A, Gomes Da Silva G, Gomez Delegido AJ, Goncalves Gama R, Gonçalo R, Gonella G, Gonella L, Gongadze A, Gonnella F, Gonski JL, González de la Hoz S, Gonzalez Fernandez S, Gonzalez Lopez R, Gonzalez Renteria C, Gonzalez Suarez R, Gonzalez-Sevilla S, Gonzalvo Rodriguez GR, González Andana RY, Goossens L, Gorasia NA, Gorbounov PA, Gorini B, Gorini E, Gorišek A, Goshaw AT, Gostkin MI, Gottardo CA, Gouighri M, Goumarre V, Goussiou AG, Govender N, Goy C, Grabowska-Bold I, Graham K, Gramstad E, Grancagnolo S, Grandi M, Gratchev V, Gravila PM, Gravili FG, Gray HM, Greco M, Grefe C, Gregor IM, Grenier P, Grieco C, Grillo AA, Grimm K, Grinstein S, Grivaz JF, Gross E, Grosse-Knetter J, Grud C, Grummer A, Grundy JC, Guan L, Guan W, Gubbels C, Guerrero Rojas JGR, Guerrieri G, Guescini F, Gugel R, Guhit JAM, Guida A, Guillemin T, Guilloton E, Guindon S, Guo F, Guo J, Guo L, Guo Y, Gupta R, Gurbuz S, Gurdasani SS, Gustavino G, Guth M, Gutierrez P, Gutierrez Zagazeta LF, Gutschow C, Guyot C, Gwenlan C, Gwilliam CB, Haaland ES, Haas A, Habedank M, Haber C, Hadavand HK, Hadef A, Hadzic S, Haleem M, Haley J, Hall JJ, Hallewell GD, Halser L, Hamano K, Hamdaoui H, Hamer M, Hamity GN, Han J, Han K, Han L, Han L, Han S, Han YF, Hanagaki K, Hance M, Hangal DA, Hank MD, Hankache R, Hansen JB, Hansen JD, Hansen PH, Hara K, Harada D, Harenberg T, Harkusha S, Harris YT, Harrison NM, Harrison PF, Hartman NM, Hartmann NM, Hasegawa Y, Hasib A, Haug S, Hauser R, Havranek M, Hawkes CM, Hawkings RJ, Hayashida S, Hayden D, Hayes C, Hayes RL, Hays CP, Hays JM, Hayward HS, He F, He Y, He Y, Heath MP, Hedberg V, Heggelund AL, Hehir ND, Heidegger C, Heidegger KK, Heidorn WD, Heilman J, Heim S, Heim T, Heinlein JG, Heinrich JJ, Heinrich L, Hejbal J, Helary L, Held A, Hellesund S, Helling CM, Hellman S, Helsens C, Henderson RCW, Henkelmann L, Henriques Correia AM, Herde H, Hermann L, Hernández Jiménez Y, Herr H, Herrmann MG, Herrmann T, Herten G, Hertenberger R, Hervas L, Hessey NP, Hibi H, Higón-Rodriguez E, Hillier SJ, Hinchliffe I, Hinterkeuser F, Hirose M, Hirose S, Hirschbuehl D, Hitchings TG, Hiti B, Hobbs J, Hobincu R, Hod N, Hodgkinson MC, Hodkinson BH, Hoecker A, Hofer J, Hohn D, Holm T, Holzbock M, Hommels LBAH, Honan BP, Hong J, Hong TM, Hong Y, Honig JC, Hönle A, Hooberman BH, Hopkins WH, Horii Y, Hou S, Howard AS, Howarth J, Hoya J, Hrabovsky M, Hrynevich A, Hryn'ova T, Hsu PJ, Hsu SC, Hu Q, Hu YF, Huang DP, Huang S, Huang X, Huang Y, Huang Y, Huang Z, Hubacek Z, Huebner M, Huegging F, Huffman TB, Huhtinen M, Huiberts SK, Hulsken R, Huseynov N, Huston J, Huth J, Hyneman R, Hyrych S, Iacobucci G, Iakovidis G, Ibragimov I, Iconomidou-Fayard L, Iengo P, Iguchi R, Iizawa T, Ikegami Y, Ilg A, Ilic N, Imam H, Ingebretsen Carlson T, Introzzi G, Iodice M, Ippolito V, Ishino M, Islam W, Issever C, Istin S, Ito H, Iturbe Ponce JM, Iuppa R, Ivina A, Izen JM, Izzo V, Jacka P, Jackson P, Jacobs RM, Jaeger BP, Jagfeld CS, Jäkel G, Jakobs K, Jakoubek T, Jamieson J, Janas KW, Jarlskog G, Jaspan AE, Javůrek T, Javurkova M, Jeanneau F, Jeanty L, Jejelava J, Jenni P, Jessiman CE, Jézéquel S, Jia J, Jia X, Jia X, Jia Z, Jiang Y, Jiggins S, Jimenez Pena J, Jin S, Jinaru A, Jinnouchi O, Jivan H, Johansson P, Johns KA, Johnson CA, Jones DM, Jones E, Jones P, Jones RWL, Jones TJ, Jovicevic J, Ju X, Junggeburth JJ, Juste Rozas A, Kabana S, Kaczmarska A, Kado M, Kagan H, Kagan M, Kahn A, Kahn A, Kahra C, Kaji T, Kajomovitz E, Kakati N, Kalderon CW, Kamenshchikov A, Kang NJ, Kano Y, Kar D, Karava K, Kareem MJ, Karentzos E, Karkanias I, Karpov SN, Karpova ZM, Kartvelishvili V, Karyukhin AN, Kasimi E, Kato C, Katzy J, Kaur S, Kawade K, Kawagoe K, Kawaguchi T, Kawamoto T, Kawamura G, Kay EF, Kaya FI, Kazakos S, Kazanin VF, Ke Y, Keaveney JM, Keeler R, Kehris GV, Keller JS, Kelly AS, Kelsey D, Kempster JJ, Kendrick J, Kennedy KE, Kepka O, Kerridge BP, Kersten S, Kerševan BP, Keszeghova L, Ketabchi Haghighat S, Khandoga M, Khanov A, Kharlamov AG, Kharlamova T, Khoda EE, Khoo TJ, Khoriauli G, Khubua J, Khwaira YAR, Kiehn M, Kilgallon A, Kim DW, Kim E, Kim YK, Kimura N, Kirchhoff A, Kirchmeier D, Kirfel C, Kirk J, Kiryunin AE, Kishimoto T, Kisliuk DP, Kitsaki C, Kivernyk O, Klassen M, Klein C, Klein L, Klein MH, Klein M, Klein U, Klimek P, Klimentov A, Klimpel F, Klingl T, Klioutchnikova T, Klitzner FF, Kluit P, Kluth S, Kneringer E, Knight TM, Knue A, Kobayashi D, Kobayashi R, Kocian M, Kodama T, Kodyš P, Koeck DM, Koenig PT, Koffas T, Köhler NM, Kolb M, Koletsou I, Komarek T, Köneke K, Kong AXY, Kono T, Konstantinidis N, Konya B, Kopeliansky R, Koperny S, Korcyl K, Kordas K, Koren G, Korn A, Korn S, Korolkov I, Korotkova N, Kortman B, Kortner O, Kortner S, Kostecka WH, Kostyukhin VV, Kotsokechagia A, Kotwal A, Koulouris A, Kourkoumeli-Charalampidi A, Kourkoumelis C, Kourlitis E, Kovanda O, Kowalewski R, Kozanecki W, Kozhin AS, Kramarenko VA, Kramberger G, Kramer P, Krasny MW, Krasznahorkay A, Kremer JA, Kresse T, Kretzschmar J, Kreul K, Krieger P, Krieter F, Krishnamurthy S, Krishnan A, Krivos M, Krizka K, Kroeninger K, Kroha H, Kroll J, Kroll J, Krowpman KS, Kruchonak U, Krüger H, Krumnack N, Kruse MC, Krzysiak JA, Kubota A, Kuchinskaia O, Kuday S, Kuechler D, Kuechler JT, Kuehn S, Kuhl T, Kukhtin V, Kulchitsky Y, Kuleshov S, Kumar M, Kumari N, Kuna M, Kupco A, Kupfer T, Kupich A, Kuprash O, Kurashige H, Kurchaninov LL, Kurochkin YA, Kurova A, Kuwertz ES, Kuze M, Kvam AK, Kvita J, Kwan T, Kwok KW, Kyriacou NG, Laatu LAO, Lacasta C, Lacava F, Lacker H, Lacour D, Lad NN, Ladygin E, Laforge B, Lagouri T, Lai S, Lakomiec IK, Lalloue N, Lambert JE, Lammers S, Lampl W, Lampoudis C, Lancaster AN, Lançon E, Landgraf U, Landon MPJ, Lang VS, Langenberg RJ, Lankford AJ, Lanni F, Lantzsch K, Lanza A, Lapertosa A, Laporte JF, Lari T, Lasagni Manghi F, Lassnig M, Latonova V, Lau TS, Laudrain A, Laurier A, Lawlor SD, Lawrence Z, Lazzaroni M, Le B, Leban B, Lebedev A, LeBlanc M, LeCompte T, Ledroit-Guillon F, Lee ACA, Lee GR, Lee L, Lee SC, Lee S, Lee TF, Leeuw LL, Lefebvre HP, Lefebvre M, Leggett C, Lehmann K, Lehmann Miotto G, Leight WA, Leisos A, Leite MAL, Leitgeb CE, Leitner R, Leney KJC, Lenz T, Leone S, Leonidopoulos C, Leopold A, Leroy C, Les R, Lester CG, Levchenko M, Levêque J, Levin D, Levinson LJ, Lewicki MP, Lewis DJ, Li B, Li B, Li C, Li CQ, Li H, Li H, Li H, Li H, Li J, Li K, Li L, Li M, Li QY, Li S, Li T, Li X, Li Z, Li Z, Li Z, Li Z, Liang Z, Liberatore M, Liberti B, Lie K, Lieber Marin J, Lin K, Linck RA, Lindley RE, Lindon JH, Linss A, Lipeles E, Lipniacka A, Lister A, Little JD, Liu B, Liu BX, Liu D, Liu JB, Liu JKK, Liu K, Liu M, Liu MY, Liu P, Liu Q, Liu X, Liu X, Liu Y, Liu Y, Liu YL, Liu YW, Livan M, Llorente Merino J, Lloyd SL, Lobodzinska EM, Loch P, Loffredo S, Lohse T, Lohwasser K, Lokajicek M, Long JD, Longarini I, Longo L, Longo R, Lopez Paz I, Lopez Solis A, Lorenz J, Lorenzo Martinez N, Lory AM, Lösle A, Lou X, Lou X, Lounis A, Love J, Love PA, Lozano Bahilo JJ, Lu G, Lu M, Lu S, Lu YJ, Lubatti HJ, Luci C, Lucio Alves FL, Lucotte A, Luehring F, Luise I, Lukianchuk O, Lundberg O, Lund-Jensen B, Luongo NA, Lutz MS, Lynn D, Lyons H, Lysak R, Lytken E, Lyu F, Lyubushkin V, Lyubushkina T, Ma H, Ma LL, Ma Y, Mac Donell DM, Maccarrone G, MacDonald JC, Madar R, Mader WF, Maeda J, Maeno T, Maerker M, Magerl V, Magro J, Maguire H, Mahon DJ, Maidantchik C, Maio A, Maj K, Majersky O, Majewski S, Makovec N, Maksimovic V, 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Poggioli L, Pogrebnyak I, Pohl D, Pokharel I, Polacek S, Polesello G, Poley A, Polifka R, Polini A, Pollard CS, Pollock ZB, Polychronakos V, Ponomarenko D, Pontecorvo L, Popa S, Popeneciu GA, Portillo Quintero DM, Pospisil S, Postolache P, Potamianos K, Potrap IN, Potter CJ, Potti H, Poulsen T, Poveda J, Pownall G, Pozo Astigarraga ME, Prades Ibanez A, Prapa MM, Price D, Primavera M, Principe Martin MA, Proffitt ML, Proklova N, Prokofiev K, Proto G, Protopopescu S, Proudfoot J, Przybycien M, Puddefoot JE, Pudzha D, Puzo P, Pyatiizbyantseva D, Qian J, Qin Y, Qiu T, Quadt A, Queitsch-Maitland M, Rabanal Bolanos G, Rafanoharana D, Ragusa F, Rainbolt JL, Raine JA, Rajagopalan S, Ramakoti E, Ran K, Raskina V, Rassloff DF, Rave S, Ravina B, Ravinovich I, Raymond M, Read AL, Readioff NP, Rebuzzi DM, Redlinger G, Reeves K, Reidelsturz JA, Reikher D, Reiss A, Rej A, Rembser C, Renardi A, Renda M, Rendel MB, Rennie AG, Resconi S, Ressegotti M, Resseguie ED, Rettie S, Reynolds B, Reynolds E, Rezaei Estabragh M, Rezanova OL, Reznicek P, Ricci E, Richter R, Richter S, Richter-Was E, Ridel M, Rieck P, Riedler P, Rijssenbeek M, Rimoldi A, Rimoldi M, Rinaldi L, Rinn TT, Rinnagel MP, Ripellino G, Riu I, Rivadeneira P, Rivera Vergara JC, Rizatdinova F, Rizvi E, Rizzi C, Roberts BA, Roberts BR, Robertson SH, Robin M, Robinson D, Robles Gajardo CM, Robles Manzano M, Robson A, Rocchi A, Roda C, Rodriguez Bosca S, Rodriguez Garcia Y, Rodriguez Rodriguez A, Rodríguez Vera AM, Roe S, Roemer JT, Roepe-Gier AR, Roggel J, Røhne O, Rojas RA, Roland B, Roland CPA, Roloff J, Romaniouk A, Romano E, Romano M, Romero Hernandez AC, Rompotis N, Roos L, Rosati S, Rosser BJ, Rossi E, Rossi E, Rossi LP, Rossini L, Rosten R, Rotaru M, Rottler B, Rousseau D, Rousso D, Rovelli G, Roy A, Rozanov A, Rozen Y, Ruan X, Rubio Jimenez A, Ruby AJ, Ruelas Rivera VH, Ruggeri TA, Rühr F, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich NA, Russell HL, Rutherfoord JP, Rüttinger EM, Rybacki K, Rybar M, Rye EB, Ryzhov A, Sabater Iglesias JA, Sabatini P, Sabetta L, Sadrozinski HFW, Safai Tehrani F, Safarzadeh Samani B, Safdari M, Saha S, Sahinsoy M, Saimpert M, Saito M, Saito T, Salamani D, Salamanna G, Salnikov A, Salt J, Salvador Salas A, Salvatore D, Salvatore F, Salzburger A, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Sanchez Pineda A, Sanchez Sebastian V, Sandaker H, Sander CO, Sandesara JA, Sandhoff M, Sandoval C, Sankey DPC, Sansoni A, Santi L, Santoni C, Santos H, Santpur SN, Santra A, Saoucha KA, Saraiva JG, Sardain J, Sasaki O, Sato K, Sauer C, Sauerburger F, Sauvan E, Savard P, Sawada R, Sawyer C, Sawyer L, Sayago Galvan I, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schaefer D, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Schanet E, Scharf C, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Scheulen C, Schiavi C, Schillaci ZM, Schioppa EJ, Schioppa M, Schlag B, Schleicher KE, Schlenker S, Schmieden K, Schmitt C, Schmitt S, Schoeffel L, Schoening A, Scholer PG, Schopf E, Schott M, Schovancova J, Schramm S, Schroeder F, Schultz-Coulon HC, Schumacher M, Schumm BA, Schune P, Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scuri F, Scutti F, Sebastiani CD, Sedlaczek K, Seema P, Seidel SC, Seiden A, Seidlitz BD, Seiss T, Seitz C, Seixas JM, Sekhniaidze G, Sekula SJ, Selem L, Semprini-Cesari N, Sen S, Sengupta D, Senthilkumar V, Serin L, Serkin L, Sessa M, Severini H, Sevova S, Sforza F, Sfyrla A, Shabalina E, Shaheen R, Shahinian JD, Shaikh NW, Shaked Renous D, Shan LY, Shapiro M, Sharma A, Sharma AS, Sharma P, Sharma S, Shatalov PB, Shaw K, Shaw SM, Shen Q, Sherwood P, Shi L, Shimmin CO, Shimogama Y, Shinner JD, Shipsey IPJ, Shirabe S, Shiyakova M, Shlomi J, Shochet MJ, Shojaii J, Shope DR, Shrestha S, Shrif EM, Shroff MJ, Sicho P, Sickles AM, Sideras Haddad E, Sidiropoulou O, Sidoti A, Siegert F, Sijacki D, Sikora R, Sili F, Silva JM, Silva Oliveira MV, Silverstein SB, Simion S, Simoniello R, Simpson EL, Simpson ND, Simsek S, Sindhu S, Sinervo P, Sinetckii V, Singh S, Singh S, Sinha S, Sinha S, Sioli M, Siral I, Sivoklokov SY, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Smakhtin V, Smart BH, Smiesko J, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith AC, Smith EA, Smith HA, Smith JL, Smith R, Smizanska M, Smolek K, Smykiewicz A, Snesarev AA, Snoek HL, Snyder S, Sobie R, Soffer A, Solans Sanchez CA, Soldatov EY, Soldevila U, Solodkov AA, Solomon S, Soloshenko A, Solovieva K, Solovyanov OV, Solovyev V, Sommer P, Sonay A, Song WY, Sopczak A, Sopio AL, Sopkova F, Sothilingam V, Sottocornola S, Soualah R, Soumaimi Z, South D, Spagnolo S, Spalla M, Spanò F, Sperlich D, Spigo G, Spina M, Spinali S, Spiteri DP, Spousta M, Staats EJ, Stabile A, Stamen R, Stamenkovic M, Stampekis A, Standke M, Stanecka E, Stanislaus B, Stanitzki MM, Stankaityte M, Stapf B, Starchenko EA, Stark GH, Stark J, Starko DM, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Steentoft J, Steinberg P, Steinhebel AL, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom DM, Strom LR, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Su S, Su W, Su X, Sugizaki K, Sulin VV, Sullivan MJ, Sultan DMS, Sultanaliyeva L, Sultansoy S, Sumida T, Sun S, Sun S, Gudnadottir OS, Sutton MR, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Tafoya Vargas JS, Taibah RHM, Takashima R, Takeda K, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka A, Tanaka J, Tanaka R, Tanasini M, Tang J, Tao Z, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tate AC, Tateno G, Tayalati Y, Taylor GN, Taylor W, Teagle H, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Teoh JJ, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thaler A, Theiner O, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas DW, Thomas JP, Thompson EA, Thompson PD, Thomson E, Thorpe EJ, Tian Y, Tikhomirov V, Tikhonov YA, Timoshenko S, Ting EXL, Tipton P, Tisserant S, Tlou SH, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Tombs R, Tomoto M, Tompkins L, Topolnicki KW, Tornambe P, Torrence E, Torres H, Torró Pastor E, Toscani M, Tosciri C, Tovey DR, Traeet A, Trandafir IS, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trocmé B, Trofymov A, Troncon C, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsai M, Tsiamis A, Tsiareshka PV, Tsigaridas S, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsujikawa Y, Tsukerman II, Tsulaia V, Tsuno S, Tsur O, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna AN, Turchikhin S, Turk Cakir I, Turra R, Turtuvshin T, Tuts PM, Tzamarias S, Tzanis P, Tzovara E, Uchida K, Ukegawa F, Ulloa Poblete PA, Unal G, Unal M, Undrus A, Unel G, Uno K, Urban J, Urquijo P, Usai G, Ushioda R, Usman M, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vafeiadis T, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Vallier A, Valls Ferrer JA, Van Daalen TR, Van Gemmeren P, Van Rijnbach M, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vannicola D, Vannoli L, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varriale L, Varvell KE, Vasile ME, Vaslin L, Vasquez GA, Vazeille F, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veliscek I, Veloce LM, Veloso F, Veneziano S, Ventura A, Verbytskyi A, Verducci M, Vergis C, Verissimo De Araujo M, Verkerke W, Vermeulen JC, Vernieri C, Verschuuren PJ, Vessella M, Vesterbacka ML, Vetterli MC, Vgenopoulos A, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Vittori C, Vivarelli I, Vladimirov V, Voevodina E, Vogel F, Vokac P, Von Ahnen J, Von Toerne E, Vormwald B, Vorobel V, Vorobev K, Vos M, Vossebeld JH, Vozak M, Vozdecky L, Vranjes N, Vranjes Milosavljevic M, Vreeswijk M, Vuillermet R, Vujinovic O, Vukotic I, Wada S, Wagner C, Wagner W, Wahdan S, Wahlberg H, Wakasa R, Wakida M, Walbrecht VM, Walder J, Walker R, Walkowiak W, Wang AM, Wang AZ, Wang C, Wang C, Wang H, Wang J, Wang P, Wang RJ, Wang R, Wang R, Wang SM, Wang S, Wang T, Wang WT, Wang WX, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward RJ, Warrack N, Watson AT, Watson MF, Watts G, Waugh BM, Webb AF, Weber C, Weber MS, Weber SA, Weber SM, Wei C, Wei Y, Weidberg AR, Weingarten J, Weirich M, Weiser C, Wells CJ, Wenaus T, Wendland B, Wengler T, Wenke NS, Wermes N, Wessels M, Whalen K, Wharton AM, White AS, White A, White MJ, Whiteson D, Wickremasinghe L, Wiedenmann W, Wiel C, Wielers M, Wieseotte N, Wiglesworth C, Wiik-Fuchs LAM, Wilbern DJ, Wilkens HG, Williams DM, Williams HH, Williams S, Willocq S, Windischhofer PJ, Winklmeier F, Winter BT, Wittgen M, Wobisch M, Wolf A, Wölker R, Wollrath J, Wolter MW, Wolters H, Wong VWS, Wongel AF, Worm SD, Wosiek BK, Woźniak KW, Wraight K, Wu J, Wu M, Wu SL, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xia L, Xia M, Xiang J, Xiao X, Xie M, Xie X, Xiong J, Xiotidis I, Xu D, Xu H, Xu H, Xu L, Xu R, Xu T, Xu W, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi N, Yamaguchi Y, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Z, Yao WM, Yap YC, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yexley MR, Yin P, Yorita K, Young CJS, Young C, Yuan M, Yuan R, Yue L, Yue X, Zaazoua M, Zabinski B, Zaid E, Zakareishvili T, Zakharchuk N, Zambito S, Zamora Saa JA, Zang J, Zanzi D, Zaplatilek O, Zeißner SV, Zeitnitz C, Zeng JC, Zenger DT, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhang B, Zhang DF, Zhang G, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Z, Zhang Z, Zhao H, Zhao P, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng Z, Zhong D, Zhou B, Zhou C, Zhou H, Zhou N, Zhou Y, Zhu CG, Zhu C, Zhu HL, Zhu H, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine NI, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas TG, Zormpa O, Zou W, Zwalinski L. Observation of the γγ→ττ Process in Pb+Pb Collisions and Constraints on the τ-Lepton Anomalous Magnetic Moment with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2023; 131:151802. [PMID: 37897746 DOI: 10.1103/physrevlett.131.151802] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/07/2022] [Indexed: 10/30/2023]
Abstract
This Letter reports the observation of τ-lepton-pair production in ultraperipheral lead-lead collisions Pb+Pb→Pb(γγ→ττ)Pb and constraints on the τ-lepton anomalous magnetic moment a_{τ}. The dataset corresponds to an integrated luminosity of 1.44 nb^{-1} of LHC Pb+Pb collisions at sqrt[s_{NN}]=5.02 TeV recorded by the ATLAS experiment in 2018. Selected events contain one muon from a τ-lepton decay, an electron or charged-particle track(s) from the other τ-lepton decay, little additional central-detector activity, and no forward neutrons. The γγ→ττ process is observed in Pb+Pb collisions with a significance exceeding 5 standard deviations and a signal strength of μ_{ττ}=1.03_{-0.05}^{+0.06} assuming the standard model value for a_{τ}. To measure a_{τ}, a template fit to the muon transverse-momentum distribution from τ-lepton candidates is performed, using a dimuon (γγ→μμ) control sample to constrain systematic uncertainties. The observed 95% confidence-level interval for a_{τ} is -0.057
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Dai YP, Liu JJ, Yuan EW, Wang P, Rong SH. [The relationship between male semen parameters and sperm DNA fragment index with the age]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2023; 57:1596-1600. [PMID: 37859376 DOI: 10.3760/cma.j.cn112150-20221103-01061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
To investigate the relationship between male semen parameters and sperm DNA fragment index with age. Adopt cross-sectional sampling survey design, 3 203 male patients who visited the Department of Reproductive Andrology in the Third Affiliated Hospital of Zhengzhou University from January 2019 to June 2021 were selected as subjects. Age range is 18-57 years, with the median age of 30 years. Through quartile regression analysis, the correlation between age and different male semen parameters and DNA fragment index (DFI) was presented. The study population was divided into ≤30 years old group and >30 years old group, and the correlation between age and semen volume, sperm concentration, total sperm count, progressive motility, total motility, percentage of normal sperm and DFI level were compared and analyzed. The results showed that there were significant differences in progressive motility, total motility and DFI level among different age groups (χ2=-4.608, -4.604, -7.719,P all <0.05), but there was no significant difference in semen volume, sperm concentration, total sperm count and percentage of normal sperm (χ2=-1.712, -1.203, -0.149, -0.175,P all >0.05). In the>30 years old age group, there was a very weak negative correlation between male age and semen volume, progressive motility and total motility (r=-0.137, -0.101 and -0.056, P all <0.05). There was a very weak positive correlation between male age and sperm concentration and sperm DFI level (r=0.061, 0.190, P all <0.05), while there was no correlation between male age and total sperm count and percentage of normal sperm (r=-0.018, -0.016,P all >0.05). In conclusion, with the increase of age, especially after the age of 30, semen volume, progressive motility and total motility decreased, while sperm concentration and DFI level increased, and semen quality decreased.
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Li CY, Chen S, Qian WL, Yang L, Zheng Q, Chen AJ, Chen J, Huang K, Fang S, Wang P, Hu L, Liu XR, Zhao XQ, Tan N, Cai T. [Clinical observation on the efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis]. ZHONGHUA YU FANG YI XUE ZA ZHI [CHINESE JOURNAL OF PREVENTIVE MEDICINE] 2023; 57:1590-1595. [PMID: 37859375 DOI: 10.3760/cma.j.cn112150-20221103-01063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
To investigate the clinical efficacy and safety of dupilumab in the treatment of moderate to severe atopic dermatitis (AD) in China. A small sample self-controlled study before and after treatment was conducted to retrospective analysis patients with moderate to severe AD treated with dupilumab in the department of dermatology of the First Affiliated Hospital of Chongqing Medical University from July 2020 to March 2022. Dupilumab 600 mg was injected subcutaneously at week 0, and then 300 mg was injected subcutaneously every 2 weeks. The condition was evaluated by SCORAD(severity scoring of atopic dermatitis), NRS(numerical rating scale), DLQI(dermatology life quality index) and POEM(patient-oriented eczema measure). The improvement of SCORAD, NRS, DLQI and POEM was analyzed by paired t test and non-parametric paired Wilcoxon. The results showed that a total of 67 patients with moderate to severe AD received dupilumab treatment, of which 41 patients (the course of treatment was more than 6 weeks) had reduced the severity of skin lesions, improved quality of life and reduced pruritus. A total of 23 patients completed 16 weeks of treatment. At 4, 8, 12 and 16 weeks, SCORAD, NRS, DLQI and POEM decreased compared with the baseline, and the differences were statistically significant. SCORAD (50.13±15.19) at baseline, SCORAD (36.08±11.96)(t=6.049,P<0.001) at week 4,SCORAD (28.04±11.10)(t=10.471,P<0.001) at week 8, SCORAD (22.93±9.72)(t=12.428,P<0.001) at week 12, SCORAD (16.84±7.82)(t=14.609,P<0.001) at week 16, NRS 7(6,8) at baseline, NRS 4(3,5)(Z=-3.861,P<0.001) at week 4, NRS 2(1,4)(Z=-4.088,P<0.001) at week 8, NRS 1(0,2)(Z=-4.206,P<0.001) at week 12, NRS 2(0,2)(Z=-4.222,P<0.001) at week 16, DLQI (13.83±5.71) at baseline, DLQI (8.00±4.02)(t=6.325,P<0.001) at week 4, DLQI (5.61±3.50)(t=8.060,P<0.001) at week 8, DLQI (3.96±1.99)(t=8.717,P<0.001) at week 12, DLQI (2.70±1.89)(t=10.355,P<0.001) at week 16, POEM (18.04±6.41) at baseline, POEM (9.70±4.70)(t=7.031,P<0.001) at week 4, POEM (7.74±3.48)(t=8.806,P<0.001) at week 8, POEM (6.35±3.33)(t=10.474,P<0.001) at week 12, POEM (4.26±2.51)(t=11.996,P<0.001) at week 16. In the 16th week, 100%(23 patients), 91.3%(21 patients), 34.8%(8 patients) and 8.7%(2 patients) of 23 patients reached SCORAD30, SCORAD50, SCORAD70, and SCORAD90 statuses, respectively. There were 82.6%(19 patients), 95.7%(22 patients) and 95.7%(22 patients) of 23 patients with NRS, DLQI and POEM improved by≥4 points compared with baseline. Twelve patients with AD who continued to receive dupilumab after 16 weeks showed further improvement in skin lesions. The adverse events were conjunctivitis and injection site reaction. In conclusion, dupilumab is an effective and safe treatment for moderate and severe AD. However, the longer-term efficacy and safety require further studies involving larger sample sizes and a longer follow-up time.
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Wang L, Zang J, Zhang Y, Yin Y, Wang P, Zhang J, Long X, Zhao LN. Investigating Incidence of Nausea and Vomiting in Patients Receiving Concurrent Chemoradiotherapy: A Real-World Cohort Study. Int J Radiat Oncol Biol Phys 2023; 117:e448-e449. [PMID: 37785445 DOI: 10.1016/j.ijrobp.2023.06.1632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Vomiting and nausea (VN) caused by anticancer agents and/or radiation therapy (RT) can significantly affect a patient's quality of life, leading to poor compliance with further anticancer agents and/or RT. Few studies pay attention to synergistic effect of RT and concurrent highly emetogenic chemotherapy for inducing vomiting and nausea. The aim of this real-world study is to investigate the incidence of VN in patients receiving concurrent chemoradiotherapy (CCRT). MATERIALS/METHODS From June 2022 to December 2022, patients receiving concurrent chemoradiotherapy in our center were consecutively enrolled in this study. Patients received moderate and low emetic agents were excluded. The antiemesis regimens were NK1 receptor antagonist plus 5-HT3 antagonist and dexamethasone (NHD) with or without olanzapine, which were recommended by guideline of National Comprehensive Cancer Network. Acute and delayed VN were analyzed in the following stratification factors: tumor site and antiemesis regimen. Acute VN usually occurred after administration of anticancer agents and commonly resolves within the first 24 hours. Delayed VN develops in patients more than 24 hours after anticancer agent administration. The grade of VN was evaluated according to Common Terminology Criteria for Adverse Events Criteria. RESULTS A total of 312 patients were enrolled for analysis. During the CCRT period, the incidence rate of acute VN in all patients was 28.2%, the delayed VN occurred in 139 of 312 patients (44.6%). The incidence rate of acute nausea in head and neck, thorax and abdomen were 33.8%, 28.9% and 25.2%, respectively. The incidence rate of acute vomiting in head and neck, thorax and abdomen were 7.0%, 3.9% and 5.2%, respectively. The incidence rate of delayed nausea in head and neck, thorax and abdomen were 51.1%, 35.5% and 45.9%, respectively. The incidence rate of delayed vomiting in head and neck, thorax and abdomen were 14.0%, 5.3% and 9.6%, respectively. There were not significant differences between NHD regimen and NHD plus olanzapine in VN (acute nausea, 25.5% vs. 30.3%, P = 0.356; acute vomiting, 4.4% vs. 6.8%, P = 0.352; delayed nausea, 40.1% vs. 48%, P = 0.166; delayed vomiting, 8.0% vs. 10.8%, P = 0.4). Multivariate logistic regression analysis showed age <50 years (P = 0.030. HR, 95% CI: 1.893, 1.062-3.374) and history of vomiting = 0.017, HR, 95% CI: 2.249, 1.154-4.384) were risk factor for acute nausea; female (P = 0.026, HR, 95% CI: 4.254, 1.192-15.186) and sleeping time <7 hours (p = 0.049, HR, 95% CI: 3.373, 1.003-11.344) were risk factors for acute vomiting; pregnancy (P = 0.011, HR, 95% CI: 2.424, 1.228-4.783) was risk factor for delayed nausea; pregnancy = 0.013, HR, 95% CI: 3.060, 1.269-7.380) and history of vomiting = 0.020, HR, 95% CI: 2.845, 1.182-6.844) were risk factors for delayed vomiting in patients receiving CCRT. CONCLUSION CCRT still contributed high incidence of delayed nausea in patients receiving standard antiemesis regimen.
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Feng X, Tang B, Wang P, Kang S, Liao X, Yao X, Wang X, Orlandini LC. Effectiveness of Bladder Filling Control during Online MR-Guided Adaptive Radiotherapy for Rectum Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e725-e726. [PMID: 37786113 DOI: 10.1016/j.ijrobp.2023.06.2238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) MR-guided adaptive radiotherapy (MRgART) treatment sessions at MR-Linac are time-consuming and changes in bladder filling during the session can impact the treatment dosimetry. In this work, we present the procedure implemented in the clinical workflow to stabilize bladder filling during the MR based adaptive radiotherapy sessions and evaluate its effectiveness and the resulting dosimetric impact on the adaptive plan. MATERIALS/METHODS Twenty-five rectum cancer patients treated at 1.5T MR-Linac with a short course radiotherapy (25 Gy in 5 fractions of 5 Gy each) were included in this retrospective study. Patients were treated with the adapt-to-shape workflow consisting of a plan adaptation based on the MRI acquired in each session and optimized on the corresponding MR-based synthetic CT. Considering the significant interval time between the acquisition of the first daily MRI used for plan adaptation, and the beam delivery, a bladder catheter was used to stabilize the bladder filling; the procedure consists of emptying the bladder and refilling it with a well-known amount of physiological solution before each MRI acquisition. Two MRIs were acquired at each session: the first was used for plan adaptation and the second was acquired while approving the adapted plan, to be rigidly registered with the first to ensure the appropriateness of the isodoses on the ongoing delivery treatment. A total of 125 sessions and 250 MRI images and bladder contours were analyzed; for each fraction, the time interval between the first and second MRI and the corresponding bladder volumes were recorded; the consistency of bladder volumes and shapes along each online session was assessed with the dice similarity index (DSC) and Hausdorff distance (HD); the impact on plan dosimetry was evaluated by comparing target and bladder DVH cut off points of the plan on the two different MRI datasets. RESULTS The time interval between the first and second MRI, averaged over the 125 sessions is 39.0 min, range (18.6-75.8) min. The changes in bladder volumes, DSC index, HD, and the differences between the bladder and target DVH cut-off points are shown in the table below. The DSC and HD are comparable to inter-observer variability in manual contour segmentation, with an average DSC of 0.91 and average HD of 2.13 mm; the average differences in bladder and target dosimetry remain under 0.63% and 0.10%, respectively. CONCLUSION The use of a procedure in the clinical workflow of MRgART to stabilize the bladder filling throughout the online session may be helpful to guarantee the accuracy of the ongoing delivered treatment.
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Xu J, Wang P, Li Y, Shi X, Yu J, Teng F. Using MRI Radiomics to Predict the Efficacy of Immunotherapy for Brain Metastasis in Patients with Non-small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e65. [PMID: 37785932 DOI: 10.1016/j.ijrobp.2023.06.790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Despite immune checkpoint inhibitors (ICIs) has been proven effective in patients with advanced NSCLC, controversial therapeutic responses are seen in brain metastatic lesions. There are no robust biomarkers that predict benefit from this regimen. We evaluated the utility of novel imaging biomarkers (radiomics) to distinguish NSCLC patients with brain metastases (BMs) who will benefit from ICIs from those likely to progress despite therapy. MATERIALS/METHODS One-hundred and seventy-four NSCLC Patients with BMs treated with ICIs from June 2019 - June 2022 were identified. We collected patient clinical outcomes and pre-treatment MRI images. Images were split into training and test sets. Brain metastatic lesions were contoured on ITK-SNAP software and 3748 radiomic features capturing both intra- and peritumoral texture patterns were extracted. The primary endpoint of this study was intracranial progression-free survival (iPFS) and the secondary objective were progression-free survival (PFS) and overall survival (OS). We used the least absolute shrinkage and selection operator (LASSO) Cox regression model to build the radiomic signature for ORR. Based on the support vector machine (SVM) model, we construct the Clinical-radiomics nomogram (CRN). Multivariable Cox regression analysis were performed to evaluate the effect of each factor on iPFS. We performed Kaplan-Meier survival analysis and log-rank tests to assess prognostic value of the features. RESULTS We identified 174 patients who fit our criteria with available MRI images. 122 patients treated in our center were divided into a training set and 52 patients treated in another center were divided into a test set. The intratumoral radiomic signatures(IRS), peritumoral radiomic signatures(PRS) and CRN showed favorable predictive effects for ORR with the area under the receiver operating curve (AUC) of (IRS: 0.845 (95% CI: 0.776-0.914); PRS: 0.799 (95% CI:0.720-0.879); CRN:0.907 (95% CI: 0.855-0.959))in the training set and (IRS: 0.809 (95% CI: 0.693-0.926); PRS: 0.749 (95% CI:0.616-0.883); CRN:0.888(95% CI:0.798-0.979)) in the test set. Kaplan-Meier analyses showed a significantly longer iPFS in the high-CRN group versus the low-CRN group (P < 0.001). The CRNs were also found significantly associated with PFS (P < 0.001), but not OS. CONCLUSION Radiomic biomarkers from pre-treatment MRI images in NSCLC patients with BMs were predictive of iPFS to ICIs. Pre-treatment radiomics may allow early prediction of benefit and expedite more aggressive treatment for high-risk patients. Additional validation of these imaging biomarkers is warranted.
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Goughenour A, Kebede B, MacLennan G, Castro J, Stephenson L, Majithia L, Hetelekidis S, Parniani A, Fan J, Wang P, Chawla AK, Rao AD. Dosimetric and Clinical Results of a Volumetric-Based Skin-Sparing Planning Technique for Patients Treated to the Breast and Chest Wall with Pencil Beam Scanning Proton Therapy. Int J Radiat Oncol Biol Phys 2023; 117:S89-S90. [PMID: 37784598 DOI: 10.1016/j.ijrobp.2023.06.416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Given clinical concerns for more brisk acute skin toxicity with proton compared with photon RT due to differences in the energy deposition properties, our institution implemented a novel volumetric skin-sparing planning technique (SSPT) for intensity modulated proton therapy (IMPT) for patients treated to the breast or chest wall (CW). This study evaluates SSPT dosimetry and the hypothesis that a SSPT will reduce acute dermatitis during IMPT to the breast and CW. MATERIALS/METHODS Prior to the development of a consensus technique, skin dose evaluation in IMPT plans was limited to mitigation of skin hot spots and cropping off the skin surface by 3mm for CW and 5mm for intact breast targets (except indications for deliberate skin dosing). In January 2022 our center added volumetric-based skin sparing objectives in addition to hot-spot evaluation as a SSPT. A skin evaluation structure (skin-eval) was defined as a skin rind of 3 mm for CW and 5 mm for intact breast within 5mm of the CTV, bound by the patient's surface. The SSPT incorporated an objective to limit the volume of skin-eval receiving 95% of the prescription dose or more (V95%Rx) to ideally <50% (goal<60%) while still prioritizing CTV coverage and robustness. We compared target coverage, robustness, and skin-eval dosimetry as well as acute on-treatment skin toxicity in patients treated with and without incorporation of this SSPT. Patients with skin/dermal lymphatic invasion or inflammatory breast cancer were excluded. RESULTS 84 patients who were planned to receive breast or CW IMPT were included (43 planned without and 41 with the SSPT). There was no difference in percentages of patients treated to the intact breast/CW/immediate CW reconstruction between the groups (37%/23%/40% without and 34%/27%/39% with SSPT, p>0.05). Mean skin-evalV95%Rx was 72% vs. 30%, p<0.0001, for those treated without vs. with a SSPT. Maximum %Rx to the skin volume of 0.03 cc, 0.3cc, and 1cc, was higher in patients treated without compared to those with a SSPT (103.1% vs. 101.5%; 101.3% vs. 100.4%; and 101.8% vs. 99.7% (all p=<0.0001)), respectively. There was a small statistical difference in the mean CTV V97.5%Rx in patients treated without vs. with the SSPT (97.8% vs. 96.5%, p=0.0003). Patients planned utilizing the SSPT demonstrated reduced rates of Grade 1 breast pain at Week 2 (12% vs. 33%, p=0.0424) and Grade 2 and 3 dermatitis at Week 5 (grade 2 38% vs. 42%; grade 3, 0% vs. 11%, p=0.0016). There were numerically more patients requiring a treatment break or not completing full intended prescription (4 vs. 1) in the pre-SSPT cohort. CONCLUSION A volumetric-based SSPT appears to reduce the frequency of brisk onset dermatitis and near-end of RT significant dermatitis while still maintaining acceptable target coverage and robustness in patients receiving IMPT to the breast and CW.
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Shi X, Wang P, Li Y, Xu J, Yu J, Teng F. Using MRI Radiomics to Predict the Efficacy of Immunotherapy for Brain Metastasis in Patients with Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e65-e66. [PMID: 37785933 DOI: 10.1016/j.ijrobp.2023.06.791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Immune-checkpoint inhibitors (ICIs) combined with chemotherapy has been widely used in the first-line treatment of small cell lung cancer (SCLC) patients. However, the efficacy of ICIs for patients with brain metastases (BMs) of SCLC is limited. There are no effective factors to predict the efficacy. We developed and validate a model to predict intracranial efficacy for ICIs in patients with BMs from SCLC by using MRI radiomics. MATERIALS/METHODS In this study, we collected 101 SCLC patients with BMs treated with ICIs. They clinical characteristics and pre-treatment Magnetic Resonance Imaging (MRI) were collected. Seventy cases collected from our hospital as training cohort and 31 cases collected from another hospital as an independent validation cohort. Brain metastatic lesions were contoured on ITK-SNAP software and 3748 radiomic features capturing both intra- and peritumoral texture patterns were extracted. The primary endpoint of this study was intracranial overall response rate (ORR). Intraclass correlation coefficient (ICC) and random forest (RF) model were used to select radiomic features. The top 10 selected radiomic features were adopted to build prognostic models by using logistic regression. Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) was chosen as the metric to assess model performances. We also performed a nomogram based on a multivariate logistic regression model includes radiomic and clinical features to predict ICIs intracranial efficacy. RESULTS The clinical characteristics including number of treatment lines and concurrent brain radiotherapy, ten intratumoral signatures and one peritumoral signatures were found significantly associated with ICIs intracranial efficacy. Predictors contained in the individualized prediction nomogram included the radiomics signature, and clinical features. The model showed favorable discrimination with a C-index of 0.861[95% CI: 0.779-0.943] and AUC of 0.861[95% CI: 0.778- 0.944] in training cohort and with a C-index of 0.812[95% CI: 0.647-0.978] and AUC of 0.812[95% CI:0.646-0.979] in the test cohort. CONCLUSION Radiomic features from pre-treatment MRI images were predictive for intracranial efficacy in SCLC patients with BMs. Pre-treatment radiomics may allow early prediction of benefit and expedite more aggressive treatment for high-risk patients and it has to be further explored as predictor of outcome in a larger series of patients.
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Sun G, Ye H, Yang Q, Zhu J, Qiu C, Shi J, Dai L, Wang K, Zhang J, Wang P. Using Proteome Microarray and Gene Expression Omnibus Database to Screen Tumour-Associated Antigens to Construct the Optimal Diagnostic Model of Oesophageal Squamous Cell Carcinoma. Clin Oncol (R Coll Radiol) 2023; 35:e582-e592. [PMID: 37433700 DOI: 10.1016/j.clon.2023.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/09/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023]
Abstract
AIMS Autoantibodies against tumour-associated antigens (TAAs) are promising biomarkers for early immunodiagnosis of cancers. This study was designed to screen and verify autoantibodies against TAAs in sera as diagnostic biomarkers for oesophageal squamous cell carcinoma (ESCC). MATERIALS AND METHODS The customised proteome microarray based on cancer driver genes and the Gene Expression Omnibus database were used to identify potential TAAs. The expression levels of the corresponding autoantibodies in serum samples obtained from 243 ESCC patients and 243 healthy controls were investigated by enzyme-linked immunosorbent assay (ELISA). In total, 486 serum samples were randomly divided into the training set and the validation set in the ratio of 2:1. Logistic regression analysis, recursive partition analysis and support vector machine were performed to establish different diagnostic models. RESULTS Five and nine candidate TAAs were screened out by proteome microarray and bioinformatics analysis, respectively. Among these 14 anti-TAAs autoantibodies, the expression level of nine (p53, PTEN, GNA11, SRSF2, CXCL8, MMP1, MSH6, LAMC2 and SLC2A1) anti-TAAs autoantibodies in the cancer patient group was higher than that in the healthy control group based on the results from ELISA. In the three constructed models, a logistic regression model including four anti-TAA autoantibodies (p53, SLC2A1, GNA11 and MMP1) was considered to be the optimal diagnosis model. The sensitivity and specificity of the model in the training set and the validation set were 70.4%, 72.8% and 67.9%, 67.9%, respectively. The area under the receiver operating characteristic curve for detecting early patients in the training set and the validation set were 0.84 and 0.85, respectively. CONCLUSIONS This approach to screen novel TAAs is feasible, and the model including four autoantibodies could pave the way for the diagnosis of ESCC.
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Teng F, Wang P, Yin T, Xing L, Yu J. Analyzing the Predictive Effects of PD-L1 Expression, Early Changes of bTMB and Circulated CD8+T Cells during Treatment for Responses of RT Combined with ICI in NSCLC. Int J Radiat Oncol Biol Phys 2023; 117:e262-e263. [PMID: 37785003 DOI: 10.1016/j.ijrobp.2023.06.1218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The beneficial role of immunotherapy and the clinical relevance of current biomarkers remain inconclusive; thus, appropriate strategies and reliable predictors need further definition. A rational combination of biomarkers is needed. Here, we estimated potential predictive factors for responses of radiotherapy (RT) combined with immune checkpoint inhibitor (ICI) in a phase II trial to determine the efficacy and safety of combination of moderate hypofractionated RT with ICI in patients with oligometastatic NSCLC (NCT03557411). MATERIALS/METHODS Pretreatment tumor tissue samples and longitudinal blood were collected for immune and tumor biomarker analysis. We examined pre-treatment (pre-ICI) PD-L1 expression in tumor cells. Circulating tumor cell (CTC), PD-L1+CTC, blood tumor mutation burden (bTMB), CD8+T cells, CD4+T cells, NK cells, B cells in circulation were acquired pre-ICI and 1 month after ICI starting (1-mth). In addition, early changes of CTC (CTC), PD-L1+CTC (PD-L1+CTC), bTMB (bTMB), CD8+T cells (CD8+T cells), CD4+T cells (CD4+T cells), NK cells (NK cells), B cells (B cells) were also analyzed to estimate the predictive effects for treatment. RESULTS High pre-ICI bTMB and increased CD8+T cells at 1 month was associated with better PFS (p = 0.016; p = 0.006). Interaction analyses revealed that each combination of two markers in the 5 markers including PD-L1, pre-ICI bTMB, 1-mth bTMB, 1-mth CD8+T cells and CD8+T cells was significantly associated with PFS, except for CTC, PD-L1+CTC, CD4+T cells, NK cells and B cells in circulation due to low power. Unsupervised cluster analysis based on these markers revealed three sub-cohorts. Cohort-1 was overrepresented by patients with progressive disease (81%) of whom were negative for 3-4 of the 5 biomarkers. Cohort-3 was overrepresented by patients with partial response (70%) of whom were positive for 3-4 of the 5 biomarkers. Survival analyses of the 3 cohorts indicated a significant association with PFS (p = 0.017). CONCLUSION This study suggests that a combination of PD-L1 expression, early changes of bTMB and circulated CD8+T cells as a better predictive biomarker for response to RT combined with ICI. Consequently, refinement of this set of biomarkers and validation in a larger set of patients is warranted.
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Teng F, Wang P, Yu J. Using CT Radiomics and Machine Learning to Distinguish Radiotherapy vs. Immune Checkpoint Inhibitor-Induced Pneumonitis in Non-Small Cell Lung Cancer Patients. Int J Radiat Oncol Biol Phys 2023; 117:e65. [PMID: 37785931 DOI: 10.1016/j.ijrobp.2023.06.789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Both radiotherapy (RT) and immune checkpoint inhibitors (ICIs) may induce pneumonitis which is difficult to distinguish clinically. We tested the utility of computed tomography (CT) in identifying the cause of pneumonitis in patients with non-small cell lung cancer (NSCLC) who received RT, ICIs and RT combined with ICIs (RT+ICIs). MATERIALS/METHODS In this study, we analyzed the clinical characteristics and CT morphology of 130 NSCLC patients who developed pneumonitis after receipt of ICIs only (n = 50), thoracic RT only (n = 50) (ICIs only + RT only, the training cohort, n = 100), and RT+ICIs (the test cohort, n = 30). CT radiomics features were extracted using 3D-Slicer software and selected using LASSO regression for training a random forest (RF) classifier and a linear discriminant analysis (LDA) classifier to discern pneumonitis etiology. Patients who received RT or ICIs only were defined as the training cohort since the cause of their pneumonitis was readily identifiable. Patients who received RT+ICIs were defined as the test cohort and the cause of their pneumonitis were determined by clinicians as the ground truth. RESULTS In the study, the median time from the initiation of treatment to pneumonitis was 1.9 months in RT+ICIs patients, which was shorter than 2.5 months in RT only and 2.7 months in ICIs only patients. In addition, the patients in RT+ICIs group have more high grade (grade 3-4) pneumonitis compared to patients in ICIs only or RT only group (p<0.05). Pneumonitis after the combined therapy was not a simple superposition mode of RP and CIP, resulting in the distinct characteristics of both RT and ICIs-related pneumonitis. (1) Some cases resembled RP with sharp borders in the ipsilateral lung and others resembled the bilateral distribution of typical CIP, while some patients exhibit an intermediate morphology; (2) Some pneumonitis occurred in the areas of low and medium doses of radiation rather than the high-dose radiation areas similar to RP; (3) Some pneumonitis was initially limited to the ipsilateral lung that had received radiation and then developed in bilateral lungs. The RF classifier showed favorable discrimination between CIP and RP with an area under the receiver operating curve (AUC) of 0.859 (95% CI: 0.7884-0.9292) in the training cohort and 0.851 (95% CI: 0.6998-1) in the test cohort. The simplified LDA classifier consisting of 7 LASSO-selected features achieved an AUC of 0.881 (95% CI: 0.815-0.947) in the training cohort and 0.842 (95% CI: 0.686-0.997) in the test cohort. CONCLUSION RT and ICIs-related pneumonitis exhibit distinct clinical characteristics and morphologic features on CT. CT radiomics-based classifiers could provide a noninvasive method to identify the predominant etiology in NSCLC patients who developed pneumonitis after thoracic RT and ICIs.
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Wang P, Ge J, Zheng D, Zhu X, Liu J, Wu Y, Lu L, Yan S, Jin D, Ye X. Anatomy-Guided Deep Learning Model for Accurate and Robust Gross Tumor Volume Segmentation in Lung Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e71. [PMID: 37786077 DOI: 10.1016/j.ijrobp.2023.06.803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In lung cancer radiation therapy, clinicians must outline the gross tumor volume (GTV) precisely on the planning computed tomography (pCT) for accurate radiation dose delivery. However, due to the limited contrast between tumor and normal tissues in lung parenchyma, accurate delineation of tumor boundaries is difficult leading to large inter-observer variation. In this study, we develop an anatomy-guided lung GTV deep segmentation model using a training cohort of multi-center datasets. The quantitative segmentation performance is evaluated on an independent dataset, where the inter-observer delineation variation is also assessed. MATERIALS/METHODS We collected and curated four publicly available lung datasets with GTV annotations (Lung-PET-CT-Dx, LIDC-IDRI, NSCLC-Radiogenomics and RIDER-CT) for deep learning model development. A total of 871 CT scans of patients, who were diagnosed with T1-T4 NSCLC, were available for training after data curation. The GTV annotations of primary tumor were examined and edited by two experienced radiation oncologists following the RTOG 1106 protocol. An anatomy-guided deep learning model was proposed, which consisted two deep networks. The first deep network used CT scan as input and segmented 4 anatomic organs (airway, heart, pulmonary artery and pulmonary vein), while the second deep network took both CT scan and these pre-segmented 4 organs as input and segmented the lung GTV. With the help of anatomic priors from 4 pre-segmented organs, the second deep network could more easily locate the GTV. We used nnUNet as the deep segmentation network. For evaluation, we used NSCLC-Radiomics as the testing dataset, which contains 20 CT scans each annotated by 5 radiation oncologists. The auto-segmented GTV were compared against each of the manual GTV reference. Inter-observer variation was also assessed using the 5 manual GTV references. RESULTS The proposed anatomic-guided lung GTV segmentation model achieved a mean Dice score of 82.4% and 95% Hausdorff distance (HD95) of 6.9mm when averaged cross 20 patients and 5 GTV references (Table 1), which outperformed the basic deep GTV segmentation model by markedly reducing 19.4% HD95 error. The performance of proposed model was also comparable to the inter-observer variation (Dice score: 82.4% vs. 81.9%, HD95 6.9 vs. 6.4mm), indicating that our model had similar reproducibility as human observers. CONCLUSION We developed and tested an anatomy-guided deep learning model for segmenting GTV in NSCLC patients. The model achieves high quantitative segmentation performance, which is comparable to the human observer variation. It can be potentially used in radiotherapy practice to improve GTV delineation consistency and reduce workloads of radiation oncologists.
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Wang Y, Xiao X, Li X, Yi Z, Jiang Y, Zhang F, Zhou L, Li S, Jia X, Sun W, Wang P, Zhang Q. Genetic and clinical landscape of ARR3-associated MYP26: the most common cause of Mendelian early-onset high myopia with a unique inheritance. Br J Ophthalmol 2023; 107:1545-1553. [PMID: 36180177 PMCID: PMC10579186 DOI: 10.1136/bjo-2022-321511] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 07/01/2022] [Indexed: 11/03/2022]
Abstract
AIMS To elucidate genetic background of early-onset high myopia (eoHM) and characteristics of ARR3-associated MYP26. METHODS Variants in 14 genes reported to contribute to eoHM, including ARR3, were selected from exome sequencing data set and classified into different categories following American College of Medical Genetics and Genomics guidelines based on in silico prediction, associated phenotypes, confirmation and cosegregation analysis. The available clinical data of individuals were summarised. RESULTS Pathogenic and likely pathogenic variants in three of 14 genes were identified in 52 of 928 families with eoHM, including 29 in ARR3, 22 in OPN1LW and 1 in LRPAP1. For ARR3, 24 pathogenic variants (16 truncation and 8 missense) were identified in 66 women and 12 men, in whom 64 women and 4 men had eoHM by X-linked female-limited inheritance. Refraction ranged from -5.00 to -28.75 diopter (-12.58±4.83). Mild-to-moderately reduced cone responses were recorded in 76.9% (10/13) of patients with electroretinogram recordings. Most patients (75.9%, 41/54) had mild myopic fundus changes (C0 to C1). Genotype-phenotype analysis suggested that the myopic retinopathy degree was correlated with age and the variant's nature. Peripheral retinal degeneration was observed in 38.5% (5/13) patients using wide-field examinations. CONCLUSION This study reveals ARR3 as the most frequently implicated gene for Mendelian eoHM. Truncations and highly scored missense variants in ARR3 are pathogenic. Myopia due to ARR3 mutations is transmitted in X-linked female-limited inheritance, manifests with mild cone impairment and slowly progresses to pathologic myopia. Identification of the most common cause for Mendelian eoHM provides a valuable starting point into the molecular mechanism of myopia.
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