201
|
Hodgson D, Lai Z, Dearden S, Barrett JC, Harrington EA, Timms K, Lanchbury J, Wu W, Allen A, Senkus E, Domchek SM, Robson M. Analysis of mutation status and homologous recombination deficiency in tumors of patients with germline BRCA1 or BRCA2 mutations and metastatic breast cancer: OlympiAD. Ann Oncol 2021; 32:1582-1589. [PMID: 34500047 DOI: 10.1016/j.annonc.2021.08.2154] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/04/2021] [Accepted: 08/27/2021] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Presence of a germline BRCA1 and/or BRCA2 mutation (gBRCAm) may sensitize tumors to poly(ADP-ribose) polymerase (PARP) inhibition via inactivation of the second allele, resulting in gene-specific loss of heterozygosity (gsLOH) and homologous recombination deficiency (HRD). Here we explore whether tissue sample testing provides an additional route to germline testing to inform treatment selection for PARP inhibition. PATIENTS AND METHODS In this prespecified exploratory analysis, BRCA1 and/or BRCA2 mutations in blood samples (gBRCAm) and tumor tissue (tBRCAm) were analyzed from patients with human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer and known gBRCAm, enrolled in the phase III OlympiAD trial. The frequency and nature of tBRCAm, HRD score status [HRD-positive (score ≥42) versus HRD-negative (score <42) using the Myriad myChoice® CDx test] and rates of gsLOH were determined, and their impact on clinical efficacy (objective response rate and progression-free survival) was explored. RESULTS Tissue samples from 161/302 patients yielded tBRCAm, HRD and gsLOH data for 143 (47%), 129 (43%) and 125 (41%) patients, respectively. Concordance between gBRCAm and tBRCAm was 99%. gsLOH was observed in 118/125 (94%) patients [BRCA1m, 73/76 (96%); BRCA2m, 45/49 (92%)]. A second mutation event was recorded for two of the three BRCA1m patients without gsLOH. The incidence of HRD-negative was 16% (21/129) and was more common for BRCA2m (versus BRCA1m) and/or for hormone receptor-positive (versus triple-negative) disease. Olaparib antitumor activity was observed irrespective of HRD score. CONCLUSIONS gBRCAm identified in patients with HER2-negative metastatic breast cancer by germline testing in blood was also identified by tumor tissue testing. gsLOH was common, indicating a high rate of biallelic inactivation in metastatic breast cancer. Olaparib activity was seen regardless of gsLOH status or HRD score. Thus, additional tumor testing to inform PARP inhibitor treatment selection may not be supported for these patients.
Collapse
Affiliation(s)
| | | | | | | | | | - K Timms
- Myriad Genetics, Salt Lake City, USA
| | | | - W Wu
- AstraZeneca, Gaithersburg, USA
| | - A Allen
- AstraZeneca, Gaithersburg, USA
| | - E Senkus
- Medical University of Gdańsk, Gdańsk, Poland
| | - S M Domchek
- Basser Center, University of Pennsylvania, Philadelphia, USA
| | - M Robson
- Memorial Sloan Kettering Cancer Center, New York, USA
| |
Collapse
|
202
|
Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Dennis S, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hall E, Hamilton P, Hen O, Hill C, Horton-Smith G, Hourlier A, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Kaneshige N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mora Lepin L, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Seligman W, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yandel E, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Measurement of the flux-averaged inclusive charged-current electron neutrino and antineutrino cross section on argon using the NuMI beam and the MicroBooNE detector. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.104.052002] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
203
|
Luo C, Wu W, Wu C, Qiu H, Yuan P, Jiang R, Zhao Q, Gong S, Zhang R, Li J, He J, Liu J, Wang L. Liver dysfunction in idiopathic pulmonary arterial hypertension: prevalence, characteristics and prognostic significance, a retrospective cohort study in China. BMJ Open 2021; 11:e045165. [PMID: 34493501 PMCID: PMC8424845 DOI: 10.1136/bmjopen-2020-045165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES The aim was to elucidate the relationship between liver function and idiopathic pulmonary arterial hypertension (IPAH). DESIGN AND SETTING Retrospective, longitudinal study in urban tertiary care centre in Shanghai, China. PARTICIPANTS 407 IPAH consecutive incident patients age 18-65 years were retrospectively enrolled from January 2008 to December 2018. OUTCOME MEASUREMENTS The primary endpoint was all-cause mortality. The cut-off value was determined by receiver operating characteristic curve (ROC), which was validated by Cox proportional hazard model was internally validated by bootstrap analysis and used for survival analysis. The Cox model was (internally) validated and cross-validated areas under the curve (AUC) should be reported. RESULTS The prevalence of abnormal liver function tests (LFTs) at baseline was 77.6%. Hyperbilirubinaemia is the most common abnormal biochemical liver test: abnormal total bilirubin (TBIL in 51.6% patients). During the follow-up, 160 patients died. Patients with mixed liver dysfunction have worse prognosis than those with normal LFTs or isolated abnormal bilirubin metabolism. Comparing with patients with hepatocellular injury, the survival of patients with abnormal bilirubin metabolism is lower. Multivariable Cox models revealed a positive association between TBIL, γ-glutamyltransferase (GGT) and mortality showing that each Ig increment in TBIL and GGT was associated with a higher all-cause mortality (TBIL: HR 4. 29 (95% CI 1. 21 to 15. 27), p=0. 02; GGT: HR 2. 76 (95% CI 1. 18 to 6. 45), p=0. 02). A novel formula named Liver Function Predict Index (LFPI) was constructed (LFPI=-0.002*6MWD+1.014*lg GGT+1.458*lg TBIL) to predict prognosis. ROC curve analysis did further identify 2.729 as the best cut-off value for LFPI (AUC 0.75, p<0.001, sensitivity 79%, specificity 70%). CONCLUSIONS Liver dysfunction is frequent in IPAH, and characterised by a predominantly cholestatic enzyme profile. LFTs abnormalities are associated with worse survival and LFPI was a new and simple predictor for prognosis of IPAH.
Collapse
Affiliation(s)
- Cijun Luo
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Wenhui Wu
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Changwei Wu
- Respiratory and Critical Care Medicine, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Hongling Qiu
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Ping Yuan
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Rong Jiang
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Qinhua Zhao
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Sugang Gong
- Shanghai Pulmonary Hospital, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Rui Zhang
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Jinling Li
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Jing He
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Jinming Liu
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| | - Lan Wang
- Cardio-Pulmonary Circulation, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China
| |
Collapse
|
204
|
King B, Kwon O, Mesinkovska N, Ko J, Dutronc Y, Wu W, McCollam J, Yu G, Holzwarth K, DeLozier A, Hordinsky M. LB785 Efficacy and safety of baricitinib in adults with Alopecia Areata: Phase 3 results from a randomized controlled trial (BRAVE-AA1). J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.07.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
205
|
Jiang M, Xu H, Yu D, Yang L, Wu W, Wang H, Sun H, Zhu J, Zhao W, Fang Q, Yu J, Chen P, Wu S, Zheng Z, Zhang L, Hou L, Zhang H, Gu Y, He Y. Risk-score model to predict prognosis of malignant airway obstruction after interventional bronchoscopy. Transl Lung Cancer Res 2021; 10:3173-3190. [PMID: 34430356 PMCID: PMC8350098 DOI: 10.21037/tlcr-21-301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/18/2021] [Indexed: 12/25/2022]
Abstract
Background Interventional bronchoscopy exhibits substantial effects for patients with malignant airway obstruction (MAO), while little information is available regarding the potential prognostic factors for these patients. Methods Between October 31, 2016, and July 31, 2019, a total of 150 patients undergoing interventional bronchoscopy and histologically-confirmed MAO were collected, in which 112 eligible participants formed the cohort for survival study. External validation cohort from another independent institution comprised 33 MAO patients with therapeutic bronchoscopy. The least absolute shrinkage and selection operator regression (LASSO) was applied to the model development dataset for selecting features correlated with MAO survival for inclusion in the Cox regression from which we elaborated the risk score system. A nomogram algorithm was also utilized. Results In our study, we observed a significant decline of stenosis rate after interventional bronchoscopy from 71.7%±2.1% to 36.6%±2.7% (P<0.001) and interventional bronchoscopy dilated airway effectively. Patients in our study undergoing interventional bronchoscopy had a median survival time of 614.000 days (95% CI: 269.876–958.124). Patients receiving distinct therapeutic methods of interventional bronchoscopy had different prognosis (P=0.022), and patients receiving treatment of electrocoagulation in combination with stenting and electrosurgical snare had worse survival than those receiving other options. Multivariate Cox analysis revealed that nonsmoking status, adenoid cystic carcinoma, and low preoperative stenosis length, as independent predictive factors for better overall survival (OS) of MAO patients. Then, the nomogram based on Cox regression and risk score system based on results from LASSO regression were elaborated respectively. Importantly, this risk score system was proved to have better performance than the nomogram and other single biomarkers such as traditional staging system (area under the curve 0.855 vs. 0.392–0.739). Survival curves showed that patients with the higher risk-score had poorer prognosis than those with lower risk-score (third quantile of OS: 126.000 days, 95% CI: 73.588–178.412 vs. 532.000 days, 95% CI: 0.000–1,110.372; P<0.001). Conclusions Nonsmoking status, adenoid cystic carcinoma, and low preoperative stenosis length, were independent predictive factors for better OS of MAO patients. We proposed a nomogram and risk score system for survival prediction of MAO patients undergoing interventional bronchoscopy with good performance.
Collapse
Affiliation(s)
- Minlin Jiang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.,Tongji University, Shanghai, China
| | - Hao Xu
- Department of Respiratory, the Second Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Dongmei Yu
- Department of Endoscopy Center, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Li Yang
- Department of Endoscopy Center, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Wenhui Wu
- Pulmonary Hypertension Research Group, Quebec Heart and Lung Institute Research Centre (IUCPQ), Québec City, QC, Canada
| | - Hao Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.,Tongji University, Shanghai, China
| | - Hui Sun
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Jun Zhu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Wencheng Zhao
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Qiyu Fang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Jia Yu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Peixin Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.,Tongji University, Shanghai, China
| | - Shengyu Wu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.,Tongji University, Shanghai, China
| | - Zixuan Zheng
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China.,Tongji University, Shanghai, China
| | - Liping Zhang
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Likun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Huixian Zhang
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ye Gu
- Department of Endoscopy Center, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| |
Collapse
|
206
|
Jiang J, Ouyang J, Liu S, Chen J, Zhang H, Wang C, Wu W, Zhang C, He Y. The prognostic impact of pretreatment anemia in patients with gastric cancer and nonhypoalbuminemia undergoing curative resection: a retrospective study. Ann Transl Med 2021; 9:1046. [PMID: 34422958 PMCID: PMC8339834 DOI: 10.21037/atm-21-1649] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Accepted: 05/21/2021] [Indexed: 12/26/2022]
Abstract
Background The influence of pretreatment anemia on the prognosis of patients with advanced gastric cancer (GC) remains controversial. We retrospectively examined the impact of pretreatment anemia on the overall survival (OS) of patients with GC with nonhypoalbuminemia undergoing curative resection. Methods The clinicopathological data of 2,916 patients with advanced GC who received a radical gastrectomy from 1994 to 2015 were analyzed. The patients were divided into two subgroups by hemoglobin level, <120 and ≥120 g/L. OS was analyzed using the Kaplan-Meier method, and a multivariate Cox proportional hazards model was used to identify the independent prognostic factor. Results A total of 1,099 patients were included in our study. The median follow-up duration was 43 (IQR, 24–66) months. The prevalence of anemia was 40.9%. Among these 1,099 patients, 505 (46.0%) had nonhypoalbuminemia. Kaplan-Meier survival analysis showed that patients with GC who were anemic had a poorer OS than patients who were not (5-year OS rate: 58.4% vs. 66.8%, P<0.0001). Multivariate analysis revealed that pretreatment anemia was an independent prognostic factor [hazard ratio (HR) =1.455, 95% CI, 1.013–2.09; P=0.043]. Conclusions Our findings indicate that pretreatment anemia may serve as an independent prognostic factor for patients with advanced GC with nonhypoalbuminemia after radical gastrectomy, especially those with larger tumor size and pT3 disease.
Collapse
Affiliation(s)
- Jianlong Jiang
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jun Ouyang
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shuhao Liu
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jingyao Chen
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Hao Zhang
- General Surgery Department, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Chunfei Wang
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wenhui Wu
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Changhua Zhang
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yulong He
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
207
|
Wu W, Xuan Y, Ge Y, Mu S, Hu C, Fan R. Plasma miR-146a and miR-365 expression and inflammatory factors in patients with osteoarthritis. Malays J Pathol 2021; 43:311-317. [PMID: 34448795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
OBJECTIVE To investigate the expression levels of micro-ribonucleic acid (miR)-146a and miR-365 in the plasma of osteoarthritis (OA) patients, to study their expression with the inflammatory factors and the severity of disease in patients and to analyse their diagnostic significance. MATERIALS AND METHODS A total of 42 OA patients diagnosed with OA and treated in our hospital from January 2017 to January 2018 were selected as the subjects, and 28 healthy people were enrolled as controls. The expressions of interleukin-1 beta (IL-1β) and IL-6 in the plasma of OA patients were detected via immunohistochemical staining. Moreover, the knee joint function of OA patients was evaluated by Lysholm score, Western Ontario and McMaster Universities (WOMAC) score and Visual Analogue Scale (VAS) score. The expression levels of plasma miR-146a and miR-365 in OA patients were measured through RT-PCR. Besides, the significance of the expression levels of miR-146a and miR-365 for the diagnosis of OA was analysed by ROC curves. RESULTS As compared with healthy people, OA patients had elevated expression levels of plasma IL-1β and IL-6, decreased Lysholm score, increased WOMAC and VAS scores as well as significantly up-regulated levels of plasma miR-146a and miR-365, which were of important significance for diagnosis. CONCLUSION The expression levels of plasma miR-146a, miR-365 and inflammatory factors are notably higher, the disease is more severe, and the function of knee joint movement is weaker in OA patients than those in healthy controls. It can be concluded that the levels of both miR-146a and miR-365 can serve as biomarkers of OA diagnosis.
Collapse
Affiliation(s)
- W Wu
- The 904th Hospital of Joint Logistic Support Force, Department of Orthopedic, PLA, China, 214000.
| | - Y Xuan
- The second People's Hospital of Hefei, Department of Orthopedic, China, 230011
| | - Y Ge
- The 904th Hospital of Joint Logistic Support Force, Department of Orthopedic, PLA, China, 214000
| | - S Mu
- The 904th Hospital of Joint Logistic Support Force, Department of Orthopedic, PLA, China, 214000
| | - C Hu
- The 904th Hospital of Joint Logistic Support Force, Department of Orthopedic, PLA, China, 214000
| | - R Fan
- The 904th Hospital of Joint Logistic Support Force, Department of Orthopedic, PLA, China, 214000
| |
Collapse
|
208
|
Bowen CM, Walter L, Borras E, Wu W, Ozcan Z, Chang K, Bommi PV, Taggart MW, Thirumurthi S, Lynch PM, Reyes-Uribe L, Scheet PA, Sinha KM, Vilar E. Combination of Sulindac and Bexarotene for Prevention of Intestinal Carcinogenesis in Familial Adenomatous Polyposis. Cancer Prev Res (Phila) 2021; 14:851-862. [PMID: 34266857 DOI: 10.1158/1940-6207.capr-20-0496] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 02/23/2021] [Accepted: 05/25/2021] [Indexed: 01/07/2023]
Abstract
Familial adenomatous polyposis (FAP) is a hereditary colorectal cancer syndrome, which results in the development of hundreds of adenomatous polyps carpeting the gastrointestinal tract. NSAIDs have reduced polyp burden in patients with FAP and synthetic rexinoids have demonstrated the ability to modulate cytokine-mediated inflammation and WNT signaling. This study examined the use of the combination of an NSAID (sulindac) and a rexinoid (bexarotene) as a durable approach for reducing FAP colonic polyposis to prevent colorectal cancer development. Whole transcriptomic analysis of colorectal polyps and matched normal mucosa in a cohort of patients with FAP to identify potential targets for prevention in FAP was performed. Drug-dose synergism of sulindac and bexarotene in cell lines and patient-derived organoids was assessed, and the drug combination was tested in two different mouse models. This work explored mRNA as a potential predictive serum biomarker for this combination in FAP. Overall, transcriptomic analysis revealed significant activation of inflammatory and cell proliferation pathways. A synergistic effect of sulindac (300 μmol/L) and bexarotene (40 μmol/L) was observed in FAP colonic organoids with primary targeting of polyp tissue compared with normal mucosa. This combination translated into a significant reduction in polyp development in ApcMin/+ and ApcLoxP/+-Cdx2 mice. Finally, the reported data suggest miRNA-21 could serve as a predictive serum biomarker for polyposis burden in patients with FAP. These findings support the clinical development of the combination of sulindac and bexarotene as a treatment modality for patients with FAP. PREVENTION RELEVANCE: This study identified a novel chemopreventive regimen combining sulindac and bexarotene to reduce polyposis in patients with FAP using in silico tools, ex vivo, and in vivo models. This investigation provides the essential groundwork for moving this drug combination forward into a clinical trial.
Collapse
Affiliation(s)
- Charles M Bowen
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lewins Walter
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ester Borras
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wenhui Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zuhal Ozcan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kyle Chang
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Prashant V Bommi
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Melissa W Taggart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Selvi Thirumurthi
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Patrick M Lynch
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Laura Reyes-Uribe
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Paul A Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Krishna M Sinha
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas. .,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
209
|
Du XD, Hong RJ, Heidbrink WW, Jian X, Wang H, Eidietis NW, Van Zeeland MA, Austin ME, Liu Y, Crocker NA, Rhodes TL, Särkimäki K, Snicker A, Wu W, Knolker M. Multiscale Chirping Modes Driven by Thermal Ions in a Plasma with Reactor-Relevant Ion Temperature. Phys Rev Lett 2021; 127:025001. [PMID: 34296897 DOI: 10.1103/physrevlett.127.025001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/02/2021] [Accepted: 06/09/2021] [Indexed: 06/13/2023]
Abstract
A thermal ion driven bursting instability with rapid frequency chirping, considered as an Alfvénic ion temperature gradient mode, has been observed in plasmas having reactor-relevant temperature in the DIII-D tokamak. The modes are excited over a wide spatial range from macroscopic device size to microturbulence size and the perturbation energy propagates across multiple spatial scales. The radial mode structure is able to expand from local to global in ∼0.1 ms and it causes magnetic topology changes in the plasma edge, which can lead to a minor disruption event. Since the mode is typically observed in the high ion temperature ≳10 keV and high-β plasma regime, the manifestation of the mode in future reactors should be studied with development of mitigation strategies, if needed. This is the first observation of destabilization of the Alfvén continuum caused by the compressibility of ions with reactor-relevant ion temperature.
Collapse
Affiliation(s)
- X D Du
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - R J Hong
- University of California, Los Angeles, California 90095, USA
| | - W W Heidbrink
- University of California, Irvine, California 92697, USA
| | - X Jian
- University of California, San Diego, La Jolla, California 92093-0417, USA
| | - H Wang
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - N W Eidietis
- University of California, Los Angeles, California 90095, USA
| | - M A Van Zeeland
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - M E Austin
- University of Texas-Austin, Austin, Texas 78712, USA
| | - Y Liu
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - N A Crocker
- University of California, Los Angeles, California 90095, USA
| | - T L Rhodes
- University of California, Los Angeles, California 90095, USA
| | - K Särkimäki
- Department of Physics, Chalmers University of Technology, SE-41296 Göteborg, Sweden
| | - A Snicker
- Department of Applied Physics, Aalto University, P.O. Box 11100, 00076 AALTO, Espoo, Finland
| | - W Wu
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - M Knolker
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| |
Collapse
|
210
|
Huang Y, Zhang LP, Hou LK, Dong ZW, Zhang W, Wu W, Wu CY. [Pathological assessment of non-small cell lung cancer resection specimens after neoadjuvant therapy]. Zhonghua Bing Li Xue Za Zhi 2021; 50:773-778. [PMID: 34405613 DOI: 10.3760/cma.j.cn112151-20201224-00962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To pathologically evaluate the surgically resected specimens of three different therapies (neoadjuvant chemotherapy, neoadjuvant targeted therapy and neoadjuvant immunotherapy combined with chemotherapy) for non-small cell lung cancer. Methods: One-hundred and thirteen cases of post neoadjuvant therapy non-small cell lung cancer specimens were collected at Tongji University Affiliated Shanghai Pulmonary Hospital from January 2000 to March 2020. There were ninty patients receiving neoadjuvant chemotherapy (chemotherapy group;26 cases of adenocarcinoma and 64 cases of squamous cell carcinoma), 13 patients receiving neoadjuvant targeted therapy (targeted group;13 cases of adenocarcinoma) and 10 patients receiving neoadjuvant immunotherapy combined with chemotherapy (immune combined chemotherapy group;4 cases of adenocarcinoma and 6 cases of squamous cell carcinoma). They were evaluated for histologic tumor regression responses (necrosis, inflammatory cell infiltration, cholesterol crystal deposition, foam cell infiltration, reactive granuloma and interstitial collagenous formation) and pathological responses [main pathological response (MPR) and complete pathological response (PCR)]. Results: Chemotherapy group, targeted group and immune combined chemotherapy group all showed degenerative changes in residual tumor cells, increased atypia, various degrees of necrosis, foam cell aggregation, cholesterol cleft, inflammatory cell infiltration, and reactive granuloma in the tumor bed. Histologic characteristics of tumor regression reaction were not different between these three groups (P>0.05); the highest percentage of necrosis in the targeted group and immune combined chemotherapy group was only 10% and 20%, respectively, while that in the chemotherapy group was as high as 80%. One case of adenocarcinoma in immune combined chemotherapy group had tumor regression bed. The MPR rates of adenocarcinoma in chemotherapy group and squamous cell carcinoma in chemotherapy group were 35% (9/26) and 64% (41/64), respectively; the MPR ratio of targeted group was 2/13; the MPR ratio of adenocarcinomain immune combined chemotherapy group and squamous cell carcinoma in immune combined chemotherapy group were 2/4 and 2/6, respectively. The PCR rates of adenocarcinoma in chemotherapy group and squamous cell carcinoma in chemotherapy group were 11% (3/26) and 3% (2/64), respectively; the PCR ratio of targeted group was 0/13; the PCR ratio of adenocarcinomain immune combined chemotherapy group and squamous cell carcinomain immune combined chemotherapy group were 0/4 and 1/6, respectively. Conclusions: Different neoadjuvant therapy may cause various histopathological changes in non-small cell lung cancer: more necrosis is noted in the chemotherapy group and regression bed frequently appears in the immune combined chemotherapy group. In the immune combined chemotherapy group, there are significant lymphoplasmacytic infiltration and lymphoid follicle formation in the lung parenchyma beside the tumor bed.
Collapse
Affiliation(s)
- Y Huang
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - L P Zhang
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - L K Hou
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - Z W Dong
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - W Zhang
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - W Wu
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| | - C Y Wu
- Department of Pathology, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai 200433, China
| |
Collapse
|
211
|
Jia Y, Wu W, Wang R, Hou J, Kwong S. Joint Optimization for Pairwise Constraint Propagation. IEEE Trans Neural Netw Learn Syst 2021; 32:3168-3180. [PMID: 32745010 DOI: 10.1109/tnnls.2020.3009953] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Constrained spectral clustering (SC) based on pairwise constraint propagation has attracted much attention due to the good performance. All the existing methods could be generally cast as the following two steps, i.e., a small number of pairwise constraints are first propagated to the whole data under the guidance of a predefined affinity matrix, and the affinity matrix is then refined in accordance with the resulting propagation and finally adopted for SC. Such a stepwise manner, however, overlooks the fact that the two steps indeed depend on each other, i.e., the two steps form a "chicken-egg" problem, leading to suboptimal performance. To this end, we propose a joint PCP model for constrained SC by simultaneously learning a propagation matrix and an affinity matrix. Especially, it is formulated as a bounded symmetric graph regularized low-rank matrix completion problem. We also show that the optimized affinity matrix by our model exhibits an ideal appearance under some conditions. Extensive experimental results in terms of constrained SC, semisupervised classification, and propagation behavior validate the superior performance of our model compared with state-of-the-art methods.
Collapse
|
212
|
Abstract
According to China's Seventh National Census, 18.70% of a total of 1.41 billion people were 60 or older and 13.50% were 65 or older, so China's population is increasingly aging. In conjunction with China's socioeconomic and scientific and technological development and its promotion of medical insurance-related policies, rational medication management for the elderly is a concern in order to control the risk of polypharmacy. This paper summarizes and discusses the following five key issues inherent in rational medication management: i) an increase in serious polypharmacy and the potential risks of medication; ii) a lack of medication consultation service and medication withdraw without healthcare providers' supervision; iii) poor medication compliance among the elderly; iv) insufficient quantity and incompetence of pharmaceutical staffing; and v) limited awareness of pharmaceutical services and lack of trust in the ability of pharmacists. Based on a discussion of factors influencing these issues, suggestions have been put forward in the hopes that China emphasizes rational medication management in order to reduce the risk of polypharmacy and the disease burden of the elderly in China.
Collapse
Affiliation(s)
- Qi Tang
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China
| | - Cao Wang
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China
| | - Wenhui Wu
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China.,Division of Drug Administration, Shanghai Municipal Health Commission, Shanghai, China
| | - Yu Cao
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China
| | - Gang Chen
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China
| | - Jun Lu
- School of Public Health, Fudan University, Shanghai, China.,China Research Center on Disability, Fudan University, Shanghai, China.,Key Laboratory of Health Technology Assessment, National Health Commission, Fudan University, Shanghai, China
| |
Collapse
|
213
|
Wang D, Li T, Xu Y, Yang X, He M, Zhang Z, Wu W, Yan Y. [Platelet-rich plasma alleviates myocardial ischemia-reperfusion injury in rats]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:775-782. [PMID: 34134967 DOI: 10.12122/j.issn.1673-4254.2021.05.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the protective effect of platelet-rich plasma (PRP) against acute myocardial ischemiareperfusion (IR) injury and the possible mechanism. OBJECTIVE Aortic blood samples were collected from 10 SD rats to prepare PRP, in which the concentrations of platelet-derived growth factor-BB (PDGF-BB) and transforming growth factor-β1 (TGF-β1) were measured. Cell models of IR injury were established in primary cultures of neonatal SD rat cardiomyocytes by exposing the cells to 3 h of hypoxia. The cells were then reoxygenated and co-cultured with 1%, 5%, 10%, and 20% volume of PRP for 12 h, and the changes in cell viability was assessed. Immunofluorescence staining of the cardiomyocytes was performed, and the cellular expression of AMPK and its phosphorylation level were detected. The effects of PRP on the proliferation and migration of rat aortic endothelial cells (RAOECs) were examined. In a SD rat model of myocardial IR injury, 100 μL of PRP (n= 20) or normal saline (n=20) was injected at 4 sites around the ligation site immediately after cardiac reperfusion. One day after the injection, 6 rats were selected from each group for TTC staining of the myocardial tissues and measurement of troponin Ⅰ content. One week later, the cardiac function of the remaining rats was assessed by echocardiography, and HE staining of the myocardial tissues was performed. The effect of PRP treatment for 24 h on polarization of M1 and M2 macrophages was also examined by flow cytometry in RAW264.7 cells after hypoxic exposure for 3 h. OBJECTIVE The concentrations of PDGF-BB and TGF-β1 were significantly higher in PRP than in whole blood. Addition of 1% volume of PRP significantly reduced death of the cardiomyocytes following reoxygenation, and this effect was closely related with the activation of AMPK. Treatment with PRP obviously promoted the proliferation and migration of RAOECs. In rat models of acute myocardial IR injury, injections of PRP significantly reduced the infarct size and troponin Ⅰ concentration as compared with saline injection (P < 0.001). One week after PRP injection, the rats showed significantly improved cardiac function with a lowered level of inflammatory response in comparison with the rats with saline injection. In RAW264.7 cells with hypoxic exposure, treatment with PRP obviously decreased the number of M1 macrophages and increase the number of M2 macrophages. OBJECTIVE PRP can improve acute myocardial IR injury in rats by phosphorylating AMPK and regulating macrophage polarization, which produces a protective immunomodulatory effect on the ischemic myocardial tissues.
Collapse
Affiliation(s)
- D Wang
- Department of Cardiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.,Translational Research Centre of Regenerative Medicine and 3D Printing, Guangzhou Medical University, Guangzhou 510150, China.,State Key Laboratory of Organ Failure Research, Department of Pathophysiology, Guangzhou 510515, China
| | - T Li
- Department of Cardiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.,State Key Laboratory of Organ Failure Research, Department of Pathophysiology, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory for Shock and Microcirculation Research, Southern Medical University, Guangzhou 510515, China
| | - Y Xu
- Department of Cardiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.,Guangdong Provincial Key Laboratory for Shock and Microcirculation Research, Southern Medical University, Guangzhou 510515, China
| | - X Yang
- Department of Cardiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.,Guangdong Provincial Key Laboratory for Shock and Microcirculation Research, Southern Medical University, Guangzhou 510515, China
| | - M He
- State Key Laboratory of Organ Failure Research, Department of Pathophysiology, Guangzhou 510515, China
| | - Z Zhang
- Translational Research Centre of Regenerative Medicine and 3D Printing, Guangzhou Medical University, Guangzhou 510150, China
| | - W Wu
- Guangdong Provincial Key Laboratory for Shock and Microcirculation Research, Southern Medical University, Guangzhou 510515, China
| | - Y Yan
- Department of Cardiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.,Translational Research Centre of Regenerative Medicine and 3D Printing, Guangzhou Medical University, Guangzhou 510150, China.,State Key Laboratory of Organ Failure Research, Department of Pathophysiology, Guangzhou 510515, China
| |
Collapse
|
214
|
Zhao QN, Wu W, Li CG, Bai Y, Zhu BL. [Plasma differentially expressed genes and bioinformatics analysis of workers occupationally exposed to mercury]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:337-342. [PMID: 34074076 DOI: 10.3760/cma.j.cn121094-20200106-00014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To screen and identify plasma differentially expressed genes and related signal pathway by human gene expression profile array and fluorescent quantitative PCR. Methods: From September 2018 to October 2019, 291 workers from a Mercury-in-glass thermometer factory in Jiangsu Province were selected for an occupational health examination, a total of 60 persons were divided into two groups: high and low mercury exposure groups (30 persons in each group) . Plasma total RNA samples from the high exposure group and the low exposure group (10 cases each) were detected by gene expression microarray, and differentially expressed genes (DEGs) with fold change >2 were selected. DEGs were submitted to David and Metascape for gene function clustering, pathway and protein interaction network analysis. Finally, fluorescence quantitative PCR was performed to verify the changes in the expression levels of key DEGs in the high exposure group and the low exposure group (another 20 cases in each group) . Results: A total of 269 DEGs, of which 203 up regulated and 66 down regulated were identified in the differential expression analysis of gene expression microarray. Bioinformatics analysis suggested that, DEGs were involved in forebrain development, glial cell fate determinants of GO biological process and PID NF-KB, PTEN signal pathway. NFE2L1, SOX8, SOX6 and RNF2 (P<0.05) were confirmed down regulated in high level group by fluorescent quantitative PCR compared with the low level group (fold changes were 2.10, 11.52, 2.19, and 4.38 respectively) . Conclusion: The plasma NFE2L1, SOX8, SOX6 and RNF2 gene expressions are significantly altered in occupa tional high mercury exposure population. PTEN signaling pathway and fate of glia cells determines the biological process may be closely related to the body injury caused by mercury exposure.
Collapse
Affiliation(s)
- Q N Zhao
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - W Wu
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - C G Li
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China
| | - Y Bai
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China
| | - B L Zhu
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing 210009, China
| |
Collapse
|
215
|
Du CQ, Wei H, Zhang C, Zhang M, Hu MH, Hou L, Wu W, Liang Y, Luo XP. [The application of continuous glucose monitoring in the management of hepatic glycogen storage disease]. Zhonghua Er Ke Za Zhi 2021; 59:452-458. [PMID: 34102817 DOI: 10.3760/cma.j.cn112140-20210321-00235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Objective: Continuous glucose monitoring (CGM) were performed in children with hepatic glycogen storage disease (GSD) to accurately understand the situation of glucose levels during their treatment, and to provide support for optimizing their nutritional management. Methods: In this retrospective research, 42 patients with hepatic GSD who under went 72 h CGM were collected from Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology from October 2019 to January 2020. According to the genetic test results, they were divided into 5 groups: type Ⅰa, type Ⅰb, type Ⅲa, type Ⅵ and type Ⅸa. After long-term follow up and regular treatment, the clinical data (induding course, age, height, weight and biochemical parameters, etc.) on the day of CGM were summarized, and 72 h CGM were performed to assess the occurrence of hypoglycemia and hyperglycemia.χ² test, Fisher exact probability method, t test, analysis of variance or nonparametric test were used for comparison between groups. Results: Forty-two cases of hepatic GSD patients included 25 males and 17 females (20 cases of type Ⅰa, 3 cases of type Ⅰb, 10 cases of type Ⅲa, 3 cases of type Ⅵ and 6 cases of type Ⅸa).The age was 9.5 (6.7, 12.9) years, and the course of disease was 6.8 (5.1, 11.3) years. The average levels of glucose of the patients were all normal. However, the levels of standard deviation of blood glucose (SDBG) and mean amplitude of glycemic excursion (MAGE) were significantly different (F=2.747, 3.029,both P<0.05). Among them, the SDBG of type Ⅰa and Ⅲa were significantly higher than those of type Ⅸa ((1.10±0.36), (0.98±0.30) vs. (0.62±0.26) mmol/L, t=3.010, 2.440, both P<0.05), while the MAGE of type Ⅰ was higher than that of Ⅸa and Ⅲa ((2.3±0.9) mmol/L vs. (1.2±0.6) and (1.7±0.6) mmol/L, t=2.734, 2.302, both P<0.05, respectively). Conclusions: CGMS can accurately assess the fluctuations of blood glucose and effectively detect hidden hypoglycemia and hyperglycemia in hepatic GSD patients. For different types of hepatic GSD, individualized corn starch treatment doses should be given according to the different situation of blood glucose, so as to optimize the patient's treatment and improve their prognosis.
Collapse
Affiliation(s)
- C Q Du
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - H Wei
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - C Zhang
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M Zhang
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - M H Hu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - L Hou
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - W Wu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Liang
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - X P Luo
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| |
Collapse
|
216
|
Liu XY, Zhou WY, Wu W, He MR, Zheng DK, Ji GY, Ma WJ, Chen Y. [Serological screening and analysis of clinical characteristics for celiac disease in susceptible population in Southern China]. Zhonghua Nei Ke Za Zhi 2021; 60:539-543. [PMID: 34058810 DOI: 10.3760/cma.j.cn112138-20200715-00671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To determine the seroprevalence of celiac disease in susceptible population, and to analyze the relationship between demographic characteristics, dietary habits, lifestyle and serological positivity so as to provide guidance for the prevention and treatment of celiac disease in Southern China. Methods: A total of 1 273 individuals who participated in Guangdong Province Health Screening Program in 2015, were selected as serologically positive subjects of celiac disease, including people with irritable bowel syndrome, colitis, diarrhea, anemia, low BMI, short stature, type 1 diabetes mellitus (T1DM), rheumatoid arthritis (RA), ankylosing spondylitis, psoriasis and bristol grade=6 or 7. All subjects were tested for serum IgA anti-tissue transglutaminase antibodies (TTGA), IgA antibodies against deamidated gliadin peptides(DGPA) and IgG against deamidated gliadin peptides (DGPG). Dietary habits, lifestyle and demographic characteristics were compared in subgroups. Results: The seroprevalence of celiac disease in susceptible population was 0.94% (95%CI 0.54%-1.64%) including 0.08% (1/1 273) for TTGA, 0.47% (6/1 273) for DGPA, and 0.39% (5/1 273) for DGPG. The seropositive rate was 3.6% (1/28) in patients with psoriasis, 2.1% (2/95) in the low BMI group, 1.9% (1/53) in T1DM group, 1.8% (3/169) in diarrhea group and 1.1% (5/463) in RA group. No significant difference was found in age, gender, high carbohydrate diet or lifestyle between the negative and the positive subjects. Conclusions: In Southern China, the seropositive rate of celiac disease is 0.94% in susceptible population, which prompts an urgent need of serological screening for early diagnosis.
Collapse
Affiliation(s)
- X Y Liu
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - W Y Zhou
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - W Wu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510515, China
| | - M R He
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - D K Zheng
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - G Y Ji
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510515, China
| | - W J Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 510515, China
| | - Y Chen
- Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| |
Collapse
|
217
|
Bonfiglio F, Bruscaggin A, Guidetti F, Terzi di Bergamo L, Faderl M, Spina V, Condoluci A, Bonomini L, Forestieri G, Koch R, Piffaretti D, Pini K, Pirosa MC, Cittone MG, Arribas A, Lucioni M, Ghilardi G, Wu W, Arcaini L, Baptista MJ, Bastidas G, Bea S, Boldorini R, Broccoli A, Canzonieri V, Cascione L, Ceriani L, Cogliatti S, Derenzini E, Devizzi L, Dietrich S, Elia AR, Facchetti F, Gaidano G, Garcia JF, Gerber B, Ghia P, Silva MG, Gritti G, Guidetti A, Hitz F, Inghirami G, Ladetto M, Lopez‐Guillermo A, Lucchini E, Maiorana A, Marasca R, Matutes E, Meignin V, Merli M, Moccia A, Mollejo M, Montalban C, Novak U, Oscier DG, Passamonti F, Piazza F, Pizzolitto S, Sabattini E, Salles G, Santambrogio E, Scarfó L, Stathis A, Stüssi G, Geyer JT, Tapia G, Thieblemont C, Tousseyn T, Tucci A, Visco C, Vitolo U, Zenz T, Zinzani PL, Khiabanian H, Calcinotto A, Bertoni F, Bhagat G, Campo E, Leval L, Dirnhofer S, Pileri SA, Piris MÁ, Traverse‐Glehen A, Tzankov A, Paulli M, Ponzoni M, Mazzucchelli L, Cavalli F, Zucca E, Rossi D. GENETIC AND PHENOTYPIC ATTRIBUTES OF SPLENIC MARGINAL ZONE LYMPHOMA. Hematol Oncol 2021. [DOI: 10.1002/hon.43_2879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
|
218
|
Terzi di Bergamo L, Forestieri G, Loh JW, Singh A, Spina V, Zucchetto A, Condoluci A, Faderl M, Koch R, Bruscaggin A, Pini K, Wu W, Piffaretti D, Bittolo T, Tissino E, Paoli L, Deambrogi C, Frustaci AM, Autore F, Merli M, Scarfò L, Rasi S, Passweg J, Moia R, Martines C, Ghia P, Cavalli F, Zucca E, Gerber B, Gillessen S, Stüssi G, Montillo M, Passamonti F, Gregor M, Laurenti L, Tedeschi A, Gaidano G, Efremov D, Gattei V, Khiabanian H, Rossi D. ADAPTATION OF CHRONIC LYMPHOCYTIC LEUKEMIA TO IBRUTINIB IS MEDIATED BY EPIGENETIC PLASTICITY OF RESIDUAL DISEASE AND BY‐PASS SIGNALING VIA MAPK PATHWAY. Hematol Oncol 2021. [DOI: 10.1002/hon.29_2879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
|
219
|
Sun Y, Wang L, Meng X, Gong S, Zhao Q, Shi L, Jiang R, He J, Wu W, Li Y, Luo C, Qiu H, Li J, Yuan P, Liu J. Soluble ST2 and mixed venous oxygen saturation for prediction of mortality in patients with pulmonary hypertension. J Thorac Dis 2021; 13:3478-3488. [PMID: 34277043 PMCID: PMC8264676 DOI: 10.21037/jtd-20-2732] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 04/29/2021] [Indexed: 11/09/2022]
Abstract
Background Although soluble suppression of tumorigenicity-2 (sST2) has been identified as a clinical biomarker for pulmonary hypertension (PH) by previous studies, the implication of sST2 combined with hemodynamic parameters in PH has not been well studied. This study aimed to evaluate the relationship between sST2 and hemodynamic parameters and to evaluate the predictive value of sST2 for mortality in patients with PH. Methods One hundred eighty-four incident patients with PH and 14 healthy controls were retrospectively enrolled by Shanghai Pulmonary Hospital for this retrospective study. After all patients underwent right heart catheterization, blood samples were collected and serum sST2 concentration was assessed by the Presage™ ST2 assay. Kaplan-Meier curve and Cox regression analyses were used to predict survival and the association between survival and different factors such as sST2, SvO2. Results During a follow-up of 44.9 (IQR 28.5–64.4) months, 65 patients died. The median concentration of sST2 in PH patients was 33.1 ng/mL, which is higher than that in control group (23.1 ng/mL, P=0.005). Furthermore, for PH group, the level of sST2 was higher in non-survivors than that in survivors. Cox regression analyses demonstrated that sST2 and SvO2 were independent risk factors for survival. In Kaplan-Meier curve analyses, elevated sST2 level and reduced SvO2 predicted a poor outcome for patients with PH. Conclusions Higher sST2 was independently associated with increased mortality, as well as lower SvO2 in patients with PH. Especially, the combination of higher sST2 and lower SvO2 had the strongest predictive value of mortality in patients with PH.
Collapse
Affiliation(s)
- Yuanyuan Sun
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Lan Wang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Xiangrui Meng
- Institute of Bismuth Science, University of Shanghai for Science and Technology, Shanghai, China
| | - Sugang Gong
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Qinhua Zhao
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Lingzi Shi
- School of Clinical Medicine, Hebei Medical University, Shijiazhuang, China
| | - Rong Jiang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Jing He
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Wenhui Wu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Yuan Li
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Cijun Luo
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Hongling Qiu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Jinling Li
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Ping Yuan
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Jinming Liu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| |
Collapse
|
220
|
Martin-Gutierrez L, Peng J, Robinson G, Naja M, Peckham H, Wu W, Isenberg D, Jury E, Ciurtin C. POS0174 IMMUNOPHENOTYPE OF SJÖGREN´S SYNDROME AND SYSTEMIC LUPUS ERYTHEMATOSUS PATIENTS IDENTIFIED TWO ENDOTYPES WITH POTENTIAL THERAPEUTIC IMPLICATIONS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Primary Sjögren’s syndrome (pSS) and systemic lupus erythematosus (SLE) are chronic autoimmune rheumatic diseases (ARDs) that share a strong female gender bias, as well as genetic, clinical and serological characteristics.Although significant progress has been made in improving treatment and patient related outcomes in pSS and SLE, there is a need for improved early diagnosis, adequate therapy monitoring, treatment of refractory manifestations and strategies to address co-morbidities.However, the results of many clinical trials are disappointing, and nobiologic treatments are licensedin pSS, while few are available for SLE patients with refractory disease.Objectives:Identifying shared immunological features between patients with pSS and SLE that could lead to better treatment selection using a stratification approach.Methods:Immune-phenotyping of 29 immune-cell subsets in peripheral blood from patients with pSS (n=45), SLE (n=29) and secondary SS associated with SLE (SLE/SS) (n=14) with low disease activity or in clinical remission, and sex-matched healthy controls (n=31), was performed using flow cytometry. Data were analysed using logistic regression and multiple t-tests andsupervised machine learning (balanced random forest-BRF, sparse partial least squares discriminant analysis-sPLS-DA). Patients were stratified by k-means clustering. Clinical trajectories were analysed over 5 year follow-up.Results:Comparing the immune profile of pSS and SLE patients using a variety of statistical and machine learning (ML) approaches, identified very few statistically significant differences between the two cohorts despite patients having a different clinical presentation and diagnosis. Thus, we hypothesised that immune-based subtypes could be shared between pSS, SLE and SLE/SS patients. Unsupervised k-means clustering was applied to the immunological features of the combined patient cohorts and two distinct patient endotypes, were identified: Group-1 (n=49; pSS=24, SLE=19, SLE/SS=6) and Group-2 (n=39; pSS=21, SLE=10, SLE/SS=8). Significant differences in immune-cell phenotypes across B-cell and T-cell subsets were identified by logistic regression, BRF (AUC=0.9942, assessed by 10-fold cross-validation) and sPLS-DA analysis. Comparison of the multiple analysis approaches identified eight common immune-cell subsets, including total and memory CD4+ and CD8+ T-cell subsets but no B-cell subsets. Using this common immune-signature the stratification between the groups was maintained and slightly improved (AUC=0.9979 and accuracy 96.16%). Interestingly, patients in Group-2 had elevated disease activity measures at baseline and over a 5-year trajectory compared to Group-1. Finally, correlation analysis identifed correlations between disease activity markers and the top ranked immune features from the ML models.Conclusion:The identified immune-cell signatures could reflect the underlying disease pathogenesis that spans diagnositc criteria and could be used to select patients for targeted therapeutic approaches.Acknowledgements:LM-G is supported by a project grant from The Dunhill Medical Trust (RPGF1902\117); JP is supported by Versus Arthritis (21226). GAR is supported by Lupus UK, The Rosetrees Trust (M409) and Versus Arthritis (21593). MN is supported by NIHR UCLH Biomedical Research Centre (BRC525/III/CC/191350). HP has a Versus Arthritis PhD studentship (22203). This work was performed within the Centre for Adolescent Rheumatology Versus Arthritis at UCL UCLH and GOSH supported by grants from Versus Arthritis (21593 and 20164), GOSCC, and the NIHR-Biomedical Research Centres at both GOSH and UCLH.We would like to thank Mr Jamie Evans for expert support with flow cytometry analysis and Ms Eve McLoughlin for support with patient recruitment.Disclosure of Interests:None declared
Collapse
|
221
|
Huai X, Sun Y, Sun X, Wu W, Wang L, Jiang R, Gong S, Li J, Miao Y, Yuan P, Zhao Q. The effect of docosahexaenoic acid on predicting the survival of patients with idiopathic pulmonary arterial hypertension. Ann Transl Med 2021; 9:995. [PMID: 34277795 PMCID: PMC8267313 DOI: 10.21037/atm-21-2479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/15/2021] [Indexed: 11/21/2022]
Abstract
Background Abnormal lipid metabolism has been reported in patients with idiopathic pulmonary arterial hypertension (IPAH); however, the prognostic value of plasma free fatty acids (FFAs) for these patients is unclear. The present study aimed to determine whether FFA can play a role in predicting the survival of patients with IPAH. Methods A total of 69 blood samples from patients with IPAH were subjected to liquid chromatography-mass spectrometry (LC-MS). According to the classification criteria for pulmonary hypertension in the European Society of Cardiology (ESC) guidelines, patients were divided into low-risk, intermediate-risk, and high-risk groups. The FFA expression levels of patients in the three groups were compared, and the indicators with significant differences were selected. Cox regression analysis was performed to examine the associations between survival and different factors. Receiver operator characteristic (ROC) curves were used to assess the predictive effect of plasma lipids in assessing patients’ risk of morbidity, including area under the curve (AUC), sensitivity, specificity and the best cutoff value. Kaplan-Meier curves were used to predict survival. Results A total of 24 FFA molecules were detected in the patients with IPAH. Among them, FFA (20:4), FFA (20:5), FFA (22:5), FFA (22:6), FFA (24:0) and FFA (30:4) showed significant differences between the low-risk and the intermediate-risk or high-risk patients with IPAH. These six FFAs were significantly correlated with hemodynamic parameters. FFA (22:6), named docosahexaenoic acid (DHA), displayed significant negative correlations with World Health Organization functional classification (WHO FC), mean right atrial pressure (mRAP), and pulmonary vascular resistance (PVR), and significant positive correlations with 6-minute walking distance (6MWD) and cardiac index (CI). Cox regression analyses demonstrated that total bilirubin (TBIL) and DHA were independent risk factors for survival of IPAH. Receiver operating characteristic curve analysis revealed that DHA had a cut-off value of 77.55, which had a sensitivity of 96.7% and a specificity of 62.5% for predicting survival. Kaplan-Meier curve analysis showed that a lower level of DHA predicted a poor outcome in patients with IPAH. Conclusions Our study suggested that FFA levels were correlated with disease severity. Lower levels of DHA predict poor survival in patients with IPAH.
Collapse
Affiliation(s)
- Xu Huai
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.,Institute of Bismuth Science, University of Shanghai for Science and Technology, Shanghai, China
| | - Yuanyuan Sun
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Xiuying Sun
- Department of Fever, Weifang Traditional Chinese Hospital, Weifang, China
| | - Wenhui Wu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Lan Wang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Rong Jiang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Sugang Gong
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Jinling Li
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Yuqing Miao
- Institute of Bismuth Science, University of Shanghai for Science and Technology, Shanghai, China
| | - Ping Yuan
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Qinhua Zhao
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| |
Collapse
|
222
|
Zhu H, Sha Y, Wu W, Chen R, Yang Y, Qiu J, Mi H, Peng C, Ding C, Wang Z, Fan L, Xu W, Li J. ZANUBRUTINIB, LENALIDOMIDE PLUS R‐CHOP (ZR
2
‐CHOP) AS THE TREATMENT FOR DIFFUSED LARGE B‐CELL LYMPHOMA (DLBCL). Hematol Oncol 2021. [DOI: 10.1002/hon.49_2881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- H. Zhu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - Y. Sha
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - W. Wu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - R. Chen
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - Y. Yang
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - J. Qiu
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - H. Mi
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - C. Peng
- Pukou division of Jiangsu Province Hospital Pukou CLL Center Nanjing China
| | - C. Ding
- The First Affiliated Hospital of Nanjing Medical University Department of Nuclear Medicine Nanjing China
| | - Z. Wang
- The First Affiliated Hospital of Nanjing Medical University Department of Pathology Nanjing China
| | - L. Fan
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - W. Xu
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| | - J. Li
- The First Affiliated Hospital of Nanjing Medical University Department of Hematology Nanjing China
| |
Collapse
|
223
|
Abratenko P, Alrashed M, An R, Anthony J, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barnes C, Barr G, Basque V, Bathe-Peters L, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bishai M, Blake A, Bolton T, Camilleri L, Caratelli D, Caro Terrazas I, Castillo Fernandez R, Cavanna F, Cerati G, Chen Y, Church E, Cianci D, Conrad J, Convery M, Cooper-Troendle L, Crespo-Anadón J, Del Tutto M, Devitt D, Diurba R, Domine L, Dorrill R, Duffy K, Dytman S, Eberly B, Ereditato A, Escudero Sanchez L, Evans J, Fiorentini Aguirre G, Fitzpatrick R, Fleming B, Foppiani N, Franco D, Furmanski A, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hall E, Hamilton P, Hen O, Horton-Smith G, Hourlier A, Huang EC, Itay R, James C, Jan de Vries J, Ji X, Jiang L, Jo J, Johnson R, Jwa YJ, Kamp N, Karagiorgi G, Ketchum W, Kirby B, Kirby M, Kobilarcik T, Kreslo I, LaZur R, Lepetic I, Li K, Li Y, Littlejohn B, Lorca D, Louis W, Luo X, Marchionni A, Marcocci S, Mariani C, Marsden D, Marshall J, Martin-Albo J, Martinez Caicedo D, Mason K, Mastbaum A, McConkey N, Meddage V, Mettler T, Miller K, Mills J, Mistry K, Mogan A, Mohayai T, Moon J, Mooney M, Moor A, Moore C, Mousseau J, Murphy M, Naples D, Navrer-Agasson A, Neely R, Nienaber P, Nowak J, Palamara O, Paolone V, Papadopoulou A, Papavassiliou V, Pate S, Paudel A, Pavlovic Z, Piasetzky E, Ponce-Pinto I, Porzio D, Prince S, Qian X, Raaf J, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rogers H, Rosenberg M, Ross-Lonergan M, Russell B, Scanavini G, Schmitz D, Schukraft A, Shaevitz M, Sharankova R, Sinclair J, Smith A, Snider E, Soderberg M, Söldner-Rembold S, Soleti S, Spentzouris P, Spitz J, Stancari M, John J, Strauss T, Sutton K, Sword-Fehlberg S, Szelc A, Tagg N, Tang W, Terao K, Thorpe C, Toups M, Tsai YT, Tufanli S, Uchida M, Usher T, Van De Pontseele W, Viren B, Weber M, Wei H, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wu W, Yang T, Yarbrough G, Yates L, Zeller G, Zennamo J, Zhang C. Convolutional neural network for multiple particle identification in the MicroBooNE liquid argon time projection chamber. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.092003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
224
|
Wu MN, Yang JL, Shen SJ, Wang L, Zheng WJ, Wu W, Yao M, Yao DF. [Expression of tuftelin protein and its clinical value in HBV-related liver cancer tissues]. Zhonghua Gan Zang Bing Za Zhi 2021; 29:338-343. [PMID: 33979960 DOI: 10.3760/cma.j.cn501113-20200918-00519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the expression of tuftelin protein (TUFT1) and its clinical value in hepatocellular carcinoma (HCC)-related liver cancer tissues. Methods: The biological information data of TUFT1 mRNA expression in liver cancer and non-cancer tissues were analyzed from the TCGA and Oncomine database. After the approval of the ethics committee, the self-pairing method was used to collect the postoperative cancer and para-carcinoma tissues of 132 HCC cases hospitalized between January 2009 and December 2014. Tissue microarray and immunohistochemistry (IHC) were used to analyze the expression of TUFT1 in liver tissues. According to IHC staining, liver cancer was divided into high TUFT1 and low/no expression group. Combined with clinical data, the clinicopathological characteristics were statistically analyzed between and within the groups. The 5-year overall survival (OS) and disease-free survival (DFS) was analyzed by correlation analysis. Results: IHC staining showed that TUFT1 in cancer tissue was localized in the cytoplasm and cell membrane, and its positive expression rate was significantly higher in the liver cancer group (87.1%) than the para-carcinoma group (64.4%) (χ (2) = 18.563, P < 0.001). TUFT1 expression intensity in patients with liver cancer was significantly correlated with HBeAg positive (χ (2) = 4.080, P = 0.043), tumor size (χ (2) = 9.388, P = 0.002), vascular invasion (χ (2) = 14.885, P < 0.001), TNM stage (χ (2) = 13.516, P < 0.001) and ascites (χ (2) = 5.940, P = 0.015). TUFT1 high expression was negatively correlated with OS and DFS (P < 0.001). Conclusion: The overexpression of TUFT1 is closely related to HBV replication, vascular invasion and poor prognosis, and it is expected to become a useful marker for liver cancer diagnosis and prognosis.
Collapse
Affiliation(s)
- M N Wu
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China Departments of Medical Informatics & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China Departments of Intensive Care Unit, Affiliated 2nd Hospital of Nantong University, Nantong 226001, China
| | - J L Yang
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - S J Shen
- Department of Oncology, Affiliated Chinese Tradiation Medicne, Nantong University, Nantong 226001, China
| | - L Wang
- Departments of Medical Informatics & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China
| | - W J Zheng
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - W Wu
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| | - M Yao
- Departments of Medical Informatics & Department of Medical Immunology, Medical School of Nantong University, Nantong 226001, China
| | - D F Yao
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong 226001, China
| |
Collapse
|
225
|
Elango J, Bao B, Wu W. The hidden secrets of soluble RANKL in bone biology. Cytokine 2021; 144:155559. [PMID: 33994070 DOI: 10.1016/j.cyto.2021.155559] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/24/2021] [Accepted: 04/26/2021] [Indexed: 12/25/2022]
Abstract
The discovery of cytokine tumor necrosis factor (TNF) in the 20th century revealed numerous secrets about organ development. In particular, the functions identified for the receptor activator of nuclear factor kappa-β (NF-κβ) ligand (also known as the RANKL/osteoprotegerin ligand (OPGL) or RANK ligand/TNFSF11) in the homeostasis of skeletal structure, function and regulation were not anticipated. Empirical evidence established the receptor-ligand interaction of RANKL with RANK in osteoclast formation. Reverse signaling of RANKL triggers NF-κβ for the degradation of β-catenin to inhibit bone formation. There is also evidence that RANKL modifies the behavior of other cells in the bone microenvironment, including osteoblasts, chondrocytes, endothelial cells and lymphocytes during normal (homeostatic) and diseased (osteoimmune) states. Two forms of RANKL, i.e., soluble and membrane-bound RANKL, are produced by bone cells. Even though soluble RANKL (sRANKL) and membrane-bound RANKL (mRANKL) both stimulate osteoclast formation in vitro, their biological roles are different. mRANKL triggers osteoclastogenesis by binding to RANK through cell-cell interaction; however, sRANKL released from osteogenic cells binds to RANK without cell-cell interaction. This review attempts to hypothesize how sRANKL functions biologically in bone and explore how this hypothesis might influence future research.
Collapse
Affiliation(s)
- Jeevithan Elango
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
| | - Bin Bao
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Wenhui Wu
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
| |
Collapse
|
226
|
Wang R, Bao B, Wang S, Elango J, Wu W. Fabrication of Chinese Traditional Medicines incorporated collagen biomaterials for human bone marrow mesenchymal stem cells. Biomed Pharmacother 2021; 139:111659. [PMID: 33962310 DOI: 10.1016/j.biopha.2021.111659] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 10/21/2022] Open
Abstract
Chinese Traditional Medicines (CTMs) are very popular for therapeutic applications to cure several chronic diseases. Many researchers are trying to discover the potential application and actual mechanism of CTMs in order to scientifically prove their effects for commercial use. One of the main functions of CTMs is to aid stem cell regeneration. Since, this study was focused to fabricate CTMs incorporated fish collagen film, which has good biocompatibility in mammalian cell growth and thus investigated the effect on human Mesenchymal stem cells (hMSCs) proliferation and differentiation. In this study, three types of CTMs such as Genistein, Icariin, and Naringin were used for film fabrication. Mechanical properties of collagen films were improved by the addition of CTMs, especially in Collagen-Naringin films. Solubility and In-vitro biodegradation of collagen films were enhanced by the hydrophobicity and chemical interaction of CTMs with collagen. The proliferation rate was accelerated in hMSCs cultured on CTMs incorporated collagen films in a dose- and time-dependent manner. Proliferation biomarkers such as Ki-67 and BrdU levels were higher in hMSCs cultured on CTMs incorporated collagen films. The proliferative and differentiation effect of CTMs was further confirmed by higher gene expression of Collagen I, Runx2, c-Fos, SMAD3 and TGF-β1 in hMSCs. Overall, this study provides a new insight on novel biomaterial fabrication using CTMs and fish collagen for making a compatible platform for in-vitro stem cell culture.
Collapse
Affiliation(s)
- Ruijie Wang
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Bin Bao
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Shujun Wang
- Jiangsu Ocean University, Lianyungang, Jiangsu 222005, China
| | - Jeevithan Elango
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
| | - Wenhui Wu
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
| |
Collapse
|
227
|
El-Naccache DW, Chen F, Palma MJ, Lemenze A, Wu W, Mishra PK, Eltzschig H, Robson SC, Di Virgilio F, Hasko G, Gause WC. Adenosine metabolized from extracellular ATP promotes type 2 immunity through triggering A2BAR signaling on intestinal epithelial cells. The Journal of Immunology 2021. [DOI: 10.4049/jimmunol.206.supp.99.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Intestinal nematode infections trigger potent type 2 immune responses, although the mechanisms that initiate these host protective responses against multicellular parasites remain uncertain. We have previously reported that A2BAR deficient mice (A2BAR−/−) have an impaired type 2 immune response and delayed helminth expulsion during Heligmosomoides polygyrus bakeri (Hpb) infection. However, the cell types expressing A2BAR receptors that participate in this initiation and how the adenosine-A2BAR axis drives memory type 2 immune responses in helminth infections remains unknown. We now report that mice lacking A2BAR specifically on intestinal epithelial cells (VillinCre-A2BARfl/fl), but not on myeloid cells (LysMCre-A2BARfl/fl) show increased worm metabolism and delayed worm expulsion after Hpb secondary inoculation. We further show, the transfer of Hpb primed CD4+ T cells from WT but not from VillinCre-A2BARfl/fl can rescue the impaired immune response in recipient VillinCre-A2BARfl/fl mice. Moreover, the transfer of Hpb primed CD4+ T cells from WT but not from IL-4−/− mice into IL-4−/− mice rescued the protective memory type 2 immune response. During the primary response, type 2 immunity was dependent on epithelial A2BAR signaling as early as 24 hours after inoculation and was associated with marked increases in eATP production. Furthermore, mice lacking CD39 exhibited similarly impaired type 2 immunity to Hpb, indicating that extracellular ATP is metabolized to adenosine, which then acts as an essential endogenous danger signal. Our data thus demonstrate a key role for intestinal epithelial cell-specific A2BAR signaling in the development of host protective CD4+ IL-4 expressing memory T cells during helminth infection.
Collapse
Affiliation(s)
| | - Fei Chen
- 1Rutgers University New Jersey Medical School
| | | | | | - Wenhui Wu
- 1Rutgers University New Jersey Medical School
| | | | | | - Simon C. Robson
- 3Beth Israel Deaconess Medical Center & Harvard Medical School
| | | | | | | |
Collapse
|
228
|
Lv Z, Jiang R, Hu X, Zhao Q, Sun Y, Wang L, Li J, Miao Y, Wu W, Yuan P. Dysregulated lncRNA TUG1 in different pulmonary artery cells under hypoxia. Ann Transl Med 2021; 9:879. [PMID: 34164513 PMCID: PMC8184498 DOI: 10.21037/atm-21-2040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background At present, the role of lncRNAs in the pathogenesis of hypoxia-induced pulmonary hypertension (HPH) is not fully understood. This study aimed to explore differences in the hypoxia-induced expression of lncRNAs and their potential role in multiple pulmonary artery cells. Methods LncRNA expression in pulmonary artery smooth muscle cells (PASMCs), pulmonary microvascular endothelial cells (PMECs), and pericytes (PCs) was analyzed by high-throughput sequencing and compared between normoxic and hypoxic cells. Bioinformatics analysis was conducted to predict their functions. Results PASMCs, PMECs, and PCs displayed 275 (140 upregulated), 251 (162 upregulated), and 290 (176 upregulated) different lncRNAs, respectively. Among these, lncRNA TUG1 levels increased in PASMCs and PCs but decreased in PMECs. Bioinformatics analysis indicated that lncRNA TUG1 might target miR-145-5p, thereby affecting SOX4 and BMF expression, and could also regulate miR-129-5p levels to affect CYP1B1 and VCP expression. It could also regulate miR-138-5p levels to affect KCNK3 and RHOC expression. Conclusions Hypoxia exposure of vascular cells resulted in differential expression of lncRNAs, especially lncRNA TUG1, which showed significant abnormal expression in all three types of vascular cells under hypoxia. Our results suggested that abnormal expression of lncRNA TUG1 might be involved in the regulation of pulmonary vascular cell function under hypoxia.
Collapse
Affiliation(s)
- Zhenchun Lv
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.,Institute of Bismuth Science, University of Shanghai for Science and Technology, Shanghai, China
| | - Rong Jiang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Xiaoyi Hu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China.,Department of Gastroenterology, the 903rd Hospital of People's Liberation Army, Hangzhou, China
| | - Qinhua Zhao
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Yuanyuan Sun
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Lan Wang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Jinling Li
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Yuqing Miao
- Institute of Bismuth Science, University of Shanghai for Science and Technology, Shanghai, China
| | - Wenhui Wu
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| | - Ping Yuan
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China
| |
Collapse
|
229
|
Chen Y, Zhou J, Lee S, Liu T, Wu W, Hothi S, Zhang Q, Tse G, Wang Y. Electronic frailty index for predicting mortality outcome of patients undergoing transaortic valvular implantation. European Heart Journal. Acute Cardiovascular Care 2021. [DOI: 10.1093/ehjacc/zuab020.211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Objective
Electronic frailty index for predicting mortality outcome of patients undergoing transaortic valvular implantation (TAVI) served as useful surrogates but is associated with a poor prognosis since it needs long time to determine the frailty status and develop the index based on electronic health records. We identify significant risk mortality predictors and tested the hypothesis that an electronic frailty index incorporating ECG measurements and laboratory examinations using a machine learning survival analysis approach can improve TAVI mortality prediction.
Design
A territory-wide observational study which involved a total of 450 patients (49.11% females, 22 mortalities) diagnosed undergoing TAVI and admitted to public hospitals from Hong Kong.
Methods
Demographics (TAVI presentation age, gender, severity of TR, AR, MR, PR, INR of TAVI presentation), prior comorbidities before TAVI presentation, ECG measurements, and CBC and LRFT laboratory examinations were analyzed. Cox regression and a supervised sequential ensemble learning algorithm: gradient boosting survival tree (GBST) model, was applied to predict mortality. Significant univariate and multivariate risk predictors of mortality were identified. Importance ranking of variables were obtained with GBST model and used to build the frailty models. Comparisons were provided with baseline models of random survival forests and multivariate Cox regression.
Results
The median TAVI presentation age was 82.3 years (83.8 years in mortalities, and 82.1 years in alive patients). INR of TAVI presentation in mortalities (median: 1.32) is much higher than alive ones (median: 1.07). Severe TR (hazard ratio, HR: 8.93, 95% CI: [3.22, 24.78], p value < 0.0001), INR of TAVI presentation (HR: 2.74, 95% CI: [1.84, 4.09], p value < 0.0001), cumulative hospital stays (HR: 1.01, 95% CI: [1.00, 1.01], p value = 0.0008), aspartate transaminase (HR: 1.01, 95% CI: [0.98, 1.002], p value = 0.0002), and bilirubin (HR: 1.02, 95% CI: [1.01, 1.02], p value = 0.0003) are significant mortality risk predictors. Machine learning survival analysis model found that APTT demonstrates the most important strength, followed by INR of TAVI presentation, severe TR status, cumulative hospital stays, cumulative readmission times, creatinine test, urate test ALP test, and ECG measurements of QTc and QT. GBST significantly outperformed random survival forests and multivariate Cox regression (precision: 0.91, recall: 0.89, AUC: 0.93, C-index: 0.96, and KS-index: 0.50) for mortality prediction.
Conclusions
Electronic frailty index based on demographics, prior comorbidities, hospitalization characteristics, ECG measurements, and laboratory examinations can efficiently predict mortality outcome of patients undergoing TAVI. Machine learning survival learning model significantly improves the risk prediction performance and improves the construction of the frailty models for tailored interventions of TAVI patients in clinical practices.
Collapse
Affiliation(s)
- Y Chen
- University College London, School of Pharmacy, London, United Kingdom of Great Britain & Northern Ireland
| | - J Zhou
- City University of Hong Kong, School of Data Science, Hong Kong, China
| | - S Lee
- Hong Kong Li Kai Shing Institute of Health Sciences, Laboratory of Cardiovascular Physiology, Hong Kong, China
| | - T Liu
- 2nd Hospital of Tianjin Medical University, Department of Cardiology, Tianjin, China
| | - W Wu
- Hong Kong Li Kai Shing Institute of Health Sciences, Hong Kong, China
| | - S Hothi
- The University of Hong Kong, Department of Pharmacology and Pharmacy, Hong Kong, Hong Kong
| | - Q Zhang
- City University of Hong Kong, School of Data Science, Hong Kong, China
| | - G Tse
- 2nd Hospital of Tianjin Medical University, Department of Cardiology, Tianjin, China
| | - Y Wang
- Xiamen University, Xiamen Cardiovascular Hospital, Xiamen, China
| |
Collapse
|
230
|
Abi B, Acciarri R, Acero MA, Adamov G, Adams D, Adinolfi M, Ahmad Z, Ahmed J, Alion T, Monsalve SA, Alt C, Anderson J, Andreopoulos C, Andrews MP, Andrianala F, Andringa S, Ankowski A, Antonova M, Antusch S, Aranda-Fernandez A, Ariga A, Arnold LO, Arroyave MA, Asaadi J, Aurisano A, Aushev V, Autiero D, Azfar F, Back H, Back JJ, Backhouse C, Baesso P, Bagby L, Bajou R, Balasubramanian S, Baldi P, Bambah B, Barao F, Barenboim G, Barker GJ, Barkhouse W, Barnes C, Barr G, Monarca JB, Barros N, Barrow JL, Bashyal A, Basque V, Bay F, Alba JLB, Beacom JF, Bechetoille E, Behera B, Bellantoni L, Bellettini G, Bellini V, Beltramello O, Belver D, Benekos N, Neves FB, Berger J, Berkman S, Bernardini P, Berner RM, Berns H, Bertolucci S, Betancourt M, Bezawada Y, Bhattacharjee M, Bhuyan B, Biagi S, Bian J, Biassoni M, Biery K, Bilki B, Bishai M, Bitadze A, Blake A, Siffert BB, Blaszczyk FDM, Blazey GC, Blucher E, Boissevain J, Bolognesi S, Bolton T, Bonesini M, Bongrand M, Bonini F, Booth A, Booth C, Bordoni S, Borkum A, Boschi T, Bostan N, Bour P, Boyd SB, Boyden D, Bracinik J, Braga D, Brailsford D, Brandt A, Bremer J, Brew C, Brianne E, Brice SJ, Brizzolari C, Bromberg C, Brooijmans G, Brooke J, Bross A, Brunetti G, Buchanan N, Budd H, Caiulo D, Calafiura P, Calcutt J, Calin M, Calvez S, Calvo E, Camilleri L, Caminata A, Campanelli M, Caratelli D, Carini G, Carlus B, Carniti P, Terrazas IC, Carranza H, Castillo A, Castromonte C, Cattadori C, Cavalier F, Cavanna F, Centro S, Cerati G, Cervelli A, Villanueva AC, Chalifour M, Chang C, Chardonnet E, Chatterjee A, Chattopadhyay S, Chaves J, Chen H, Chen M, Chen Y, Cherdack D, Chi C, Childress S, Chiriacescu A, Cho K, Choubey S, Christensen A, Christian D, Christodoulou G, Church E, Clarke P, Coan TE, Cocco AG, Coelho JAB, Conley E, Conrad JM, Convery M, Corwin L, Cotte P, Cremaldi L, Cremonesi L, Crespo-Anadón JI, Cristaldo E, Cross R, Cuesta C, Cui Y, Cussans D, Dabrowski M, da Motta H, Peres LDS, David C, David Q, Davies GS, Davini S, Dawson J, De K, De Almeida RM, Debbins P, De Bonis I, Decowski MP, de Gouvêa A, De Holanda PC, De Icaza Astiz IL, Deisting A, De Jong P, Delbart A, Delepine D, Delgado M, Dell’Acqua A, De Lurgio P, de Mello Neto JRT, DeMuth DM, Dennis S, Densham C, Deptuch G, De Roeck A, De Romeri V, De Vries JJ, Dharmapalan R, Dias M, Diaz F, Díaz JS, Di Domizio S, Di Giulio L, Ding P, Di Noto L, Distefano C, Diurba R, Diwan M, Djurcic Z, Dokania N, Dolinski MJ, Domine L, Douglas D, Drielsma F, Duchesneau D, Duffy K, Dunne P, Durkin T, Duyang H, Dvornikov O, Dwyer DA, Dyshkant AS, Eads M, Edmunds D, Eisch J, Emery S, Ereditato A, Escobar CO, Sanchez LE, Evans JJ, Ewart E, Ezeribe AC, Fahey K, Falcone A, Farnese C, Farzan Y, Felix J, Fernandez-Martinez E, Fernandez Menendez P, Ferraro F, Fields L, Filkins A, Filthaut F, Fitzpatrick RS, Flanagan W, Fleming B, Flight R, Fowler J, Fox W, Franc J, Francis K, Franco D, Freeman J, Freestone J, Fried J, Friedland A, Fuess S, Furic I, Furmanski AP, Gago A, Gallagher H, Gallego-Ros A, Gallice N, Galymov V, Gamberini E, Gamble T, Gandhi R, Gandrajula R, Gao S, Garcia-Gamez D, García-Peris MÁ, Gardiner S, Gastler D, Ge G, Gelli B, Gendotti A, Gent S, Ghorbani-Moghaddam Z, Gibin D, Gil-Botella I, Girerd C, Giri AK, Gnani D, Gogota O, Gold M, Gollapinni S, Gollwitzer K, Gomes RA, Bermeo LVG, Fajardo LSG, Gonnella F, Gonzalez-Cuevas JA, Goodman MC, Goodwin O, Goswami S, Gotti C, Goudzovski E, Grace C, Graham M, Gramellini E, Gran R, Granados E, Grant A, Grant C, Gratieri D, Green P, Green S, Greenler L, Greenwood M, Greer J, Griffith WC, Groh M, Grudzinski J, Grzelak K, Gu W, Guarino V, Guenette R, Guglielmi A, Guo B, Guthikonda KK, Gutierrez R, Guzowski P, Guzzo MM, Gwon S, Habig A, Hackenburg A, Hadavand H, Haenni R, Hahn A, Haigh J, Haiston J, Hamernik T, Hamilton P, Han J, Harder K, Harris DA, Hartnell J, Hasegawa T, Hatcher R, Hazen E, Heavey A, Heeger KM, Heise J, Hennessy K, Henry S, Morquecho MAH, Herner K, Hertel L, Hesam AS, Hewes J, Higuera A, Hill T, Hillier SJ, Himmel A, Hoff J, Hohl C, Holin A, Hoppe E, Horton-Smith GA, Hostert M, Hourlier A, Howard B, Howell R, Huang J, Huang J, Hugon J, Iles G, Ilic N, Iliescu AM, Illingworth R, Ioannisian A, Itay R, Izmaylov A, James E, Jargowsky B, Jediny F, Jesùs-Valls C, Ji X, Jiang L, Jiménez S, Jipa A, Joglekar A, Johnson C, Johnson R, Jones B, Jones S, Jung CK, Junk T, Jwa Y, Kabirnezhad M, Kaboth A, Kadenko I, Kamiya F, Karagiorgi G, Karcher A, Karolak M, Karyotakis Y, Kasai S, Kasetti SP, Kashur L, Kazaryan N, Kearns E, Keener P, Kelly KJ, Kemp E, Ketchum W, Kettell SH, Khabibullin M, Khotjantsev A, Khvedelidze A, Kim D, King B, Kirby B, Kirby M, Klein J, Koehler K, Koerner LW, Kohn S, Koller PP, Kordosky M, Kosc T, Kose U, Kostelecký VA, Kothekar K, Krennrich F, Kreslo I, Kudenko Y, Kudryavtsev VA, Kulagin S, Kumar J, Kumar R, Kuruppu C, Kus V, Kutter T, Lambert A, Lande K, Lane CE, Lang K, Langford T, Lasorak P, Last D, Lastoria C, Laundrie A, Lawrence A, Lazanu I, LaZur R, Le T, Learned J, LeBrun P, Miotto GL, Lehnert R, de Oliveira MAL, Leitner M, Leyton M, Li L, Li S, Li SW, Li T, Li Y, Liao H, Lin CS, Lin S, Lister A, Littlejohn BR, Liu J, Lockwitz S, Loew T, Lokajicek M, Lomidze I, Long K, Loo K, Lorca D, Lord T, LoSecco JM, Louis WC, Luk KB, Luo X, Lurkin N, Lux T, Luzio VP, MacFarland D, Machado AA, Machado P, Macias CT, Macier JR, Maddalena A, Madigan P, Magill S, Mahn K, Maio A, Maloney JA, Mandrioli G, Maneira J, Manenti L, Manly S, Mann A, Manolopoulos K, Plata MM, Marchionni A, Marciano W, Marfatia D, Mariani C, Maricic J, Marinho F, Marino AD, Marshak M, Marshall C, Marshall J, Marteau J, Martin-Albo J, Martinez N, Caicedo DAM, Martynenko S, Mason K, Mastbaum A, Masud M, Matsuno S, Matthews J, Mauger C, Mauri N, Mavrokoridis K, Mazza R, Mazzacane A, Mazzucato E, McCluskey E, McConkey N, McFarland KS, McGrew C, McNab A, Mefodiev A, Mehta P, Melas P, Mellinato M, Mena O, Menary S, Mendez H, Menegolli A, Meng G, Messier MD, Metcalf W, Mewes M, Meyer H, Miao T, Michna G, Miedema T, Migenda J, Milincic R, Miller W, Mills J, Milne C, Mineev O, Miranda OG, Miryala S, Mishra CS, Mishra SR, Mislivec A, Mladenov D, Mocioiu I, Moffat K, Moggi N, Mohanta R, Mohayai TA, Mokhov N, Molina J, Bueno LM, Montanari A, Montanari C, Montanari D, Zetina LMM, Moon J, Mooney M, Moor A, Moreno D, Morgan B, Morris C, Mossey C, Motuk E, Moura CA, Mousseau J, Mu W, Mualem L, Mueller J, Muether M, Mufson S, Muheim F, Muir A, Mulhearn M, Muramatsu H, Murphy S, Musser J, Nachtman J, Nagu S, Nalbandyan M, Nandakumar R, Naples D, Narita S, Navas-Nicolás D, Nayak N, Nebot-Guinot M, Necib L, Negishi K, Nelson JK, Nesbit J, Nessi M, Newbold D, Newcomer M, Newhart D, Nichol R, Niner E, Nishimura K, Norman A, Norrick A, Northrop R, Novella P, Nowak JA, Oberling M, Del Campo AO, Olivier A, Onel Y, Onishchuk Y, Ott J, Pagani L, Pakvasa S, Palamara O, Palestini S, Paley JM, Pallavicini M, Palomares C, Pantic E, Paolone V, Papadimitriou V, Papaleo R, Papanestis A, Paramesvaran S, Park JC, Parke S, Parsa Z, Parvu M, Pascoli S, Pasqualini L, Pasternak J, Pater J, Patrick C, Patrizii L, Patterson RB, Patton SJ, Patzak T, Paudel A, Paulos B, Paulucci L, Pavlovic Z, Pawloski G, Payne D, Pec V, Peeters SJM, Penichot Y, Pennacchio E, Penzo A, Peres OLG, Perry J, Pershey D, Pessina G, Petrillo G, Petta C, Petti R, Piastra F, Pickering L, Pietropaolo F, Pillow J, Pinzino J, Plunkett R, Poling R, Pons X, Poonthottathil N, Pordes S, Potekhin M, Potenza R, Potukuchi BVKS, Pozimski J, Pozzato M, Prakash S, Prakash T, Prince S, Prior G, Pugnere D, Qi K, Qian X, Raaf JL, Raboanary R, Radeka V, Rademacker J, Radics B, Rafique A, Raguzin E, Rai M, Rajaoalisoa M, Rakhno I, Rakotondramanana HT, Rakotondravohitra L, Ramachers YA, Rameika R, Delgado MAR, Ramson B, Rappoldi A, Raselli G, Ratoff P, Ravat S, Razafinime H, Real JS, Rebel B, Redondo D, Reggiani-Guzzo M, Rehak T, Reichenbacher J, Reitzner SD, Renshaw A, Rescia S, Resnati F, Reynolds A, Riccobene G, Rice LCJ, Rielage K, Rigaut Y, Rivera D, Rochester L, Roda M, Rodrigues P, Alonso MJR, Rondon JR, Roeth AJ, Rogers H, Rosauro-Alcaraz S, Rossella M, Rout J, Roy S, Rubbia A, Rubbia C, Russell B, Russell J, Ruterbories D, Saakyan R, Sacerdoti S, Safford T, Sahu N, Sala P, Samios N, Sanchez MC, Sanders DA, Sankey D, Santana S, Santos-Maldonado M, Saoulidou N, Sapienza P, Sarasty C, Sarcevic I, Savage G, Savinov V, Scaramelli A, Scarff A, Scarpelli A, Schaffer T, Schellman H, Schlabach P, Schmitz D, Scholberg K, Schukraft A, Segreto E, Sensenig J, Seong I, Sergi A, Sergiampietri F, Sgalaberna D, Shaevitz MH, Shafaq S, Shamma M, Sharma HR, Sharma R, Shaw T, Shepherd-Themistocleous C, Shin S, Shooltz D, Shrock R, Simard L, Simos N, Sinclair J, Sinev G, Singh J, Singh J, Singh V, Sipos R, Sippach FW, Sirri G, Sitraka A, Siyeon K, Smargianaki D, Smith A, Smith A, Smith E, Smith P, Smolik J, Smy M, Snopok P, Nunes MS, Sobel H, Soderberg M, Salinas CJS, Söldner-Rembold S, Solomey N, Solovov V, Sondheim WE, Sorel M, Soto-Oton J, Sousa A, Soustruznik K, Spagliardi F, Spanu M, Spitz J, Spooner NJC, Spurgeon K, Staley R, Stancari M, Stanco L, Steiner HM, Stewart J, Stillwell B, Stock J, Stocker F, Stocks D, Stokes T, Strait M, Strauss T, Striganov S, Stuart A, Summers D, Surdo A, Susic V, Suter L, Sutera CM, Svoboda R, Szczerbinska B, Szelc AM, Talaga R, Tanaka HA, Oregui BT, Tapper A, Tariq S, Tatar E, Tayloe R, Teklu AM, Tenti M, Terao K, Ternes CA, Terranova F, Testera G, Thea A, Thompson JL, Thorn C, Timm SC, Todd J, Tonazzo A, Torti M, Tortola M, Tortorici F, Totani D, Toups M, Touramanis C, Trevor J, Trzaska WH, Tsai YT, Tsamalaidze Z, Tsang KV, Tsverava N, Tufanli S, Tull C, Tyley E, Tzanov M, Uchida MA, Urheim J, Usher T, Vagins MR, Vahle P, Valdiviesso GA, Valencia E, Vallari Z, Valle JWF, Vallecorsa S, Berg RV, de Water RGV, Forero DV, Varanini F, Vargas D, Varner G, Vasel J, Vasseur G, Vaziri K, Ventura S, Verdugo A, Vergani S, Vermeulen MA, Verzocchi M, de Souza HV, Vignoli C, Vilela C, Viren B, Vrba T, Wachala T, Waldron AV, Wallbank M, Wang H, Wang J, Wang Y, Wang Y, Warburton K, Warner D, Wascko M, Waters D, Watson A, Weatherly P, Weber A, Weber M, Wei H, Weinstein A, Wenman D, Wetstein M, While MR, White A, Whitehead LH, Whittington D, Wilking MJ, Wilkinson C, Williams Z, Wilson F, Wilson RJ, Wolcott J, Wongjirad T, Wood K, Wood L, Worcester E, Worcester M, Wret C, Wu W, Wu W, Xiao Y, Yang G, Yang T, Yershov N, Yonehara K, Young T, Yu B, Yu J, Zaki R, Zalesak J, Zambelli L, Zamorano B, Zani A, Zazueta L, Zeller GP, Zennamo J, Zeug K, Zhang C, Zhao M, Zhao Y, Zhivun E, Zhu G, Zimmerman ED, Zito M, Zucchelli S, Zuklin J, Zutshi V, Zwaska R. Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration. Eur Phys J C Part Fields 2021; 81:322. [PMID: 34720713 PMCID: PMC8550327 DOI: 10.1140/epjc/s10052-021-09007-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/23/2021] [Indexed: 06/13/2023]
Abstract
The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.
Collapse
Grants
- MR/T019530/1 Medical Research Council
- MR/T041323/1 Medical Research Council
- MSMT, Czech Republic
- NRF, South Korea
- Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- SERI, Switzerland
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- U.S. Department of Energy
- CERN
- Türkiye Bilimsel ve Teknolojik Arastirma Kurumu
- The Royal Society, United Kingdom
- Canada Foundation for Innovation
- U.S. NSF
- FCT, Portugal
- CEA, France
- CNRS/IN2P3, France
- European Regional Development Fund
- Science and Technology Facilities Council
- H2020-EU, European Union
- IPP, Canada
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
- CAM, Spain
- MSCA, European Union
- Instituto Nazionale di Fisica Nucleare
- Fundacção de Amparo à Pesquisa do Estado de Goiás
- Ministerio de Ciencia e Innovación
- Fundacion “La Caixa” Spain
Collapse
Affiliation(s)
- B. Abi
- University of Oxford, Oxford, OX1 3RH UK
| | - R. Acciarri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. A. Acero
- Universidad del Atlántico, Barranquilla, Atlántico Colombia
| | - G. Adamov
- Georgian Technical University, Tbilisi, Georgia
| | - D. Adams
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - Z. Ahmad
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | - J. Ahmed
- University of Warwick, Coventry, CV4 7AL UK
| | - T. Alion
- University of Sussex, Brighton, BN1 9RH UK
| | - S. Alonso Monsalve
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Alt
- ETH Zurich, Zurich, Switzerland
| | - J. Anderson
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - C. Andreopoulos
- University of Liverpool, Liverpool, L69 7ZE UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. P. Andrews
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - F. Andrianala
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - S. Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - A. Ankowski
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Antonova
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Antusch
- University of Basel, 4056 Basel, Switzerland
| | | | - A. Ariga
- University of Bern, 3012 Bern, Switzerland
| | | | | | - J. Asaadi
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - A. Aurisano
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - V. Aushev
- Kyiv National University, Kiev, 01601 Ukraine
| | - D. Autiero
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - F. Azfar
- University of Oxford, Oxford, OX1 3RH UK
| | - H. Back
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - J. J. Back
- University of Warwick, Coventry, CV4 7AL UK
| | | | - P. Baesso
- University of Bristol, Bristol, BS8 1TL UK
| | - L. Bagby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Bajou
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | | | - P. Baldi
- University of California Irvine, Irvine, CA 92697 USA
| | - B. Bambah
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - F. Barao
- Instituto Superior Técnico-IST, Universidade de Lisboa, Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - G. Barenboim
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | - W. Barkhouse
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - C. Barnes
- University of Michigan, Ann Arbor, MI 48109 USA
| | - G. Barr
- University of Oxford, Oxford, OX1 3RH UK
| | | | - N. Barros
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - J. L. Barrow
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- University of Tennessee at Knoxville, Knoxville, TN 37996 USA
| | - A. Bashyal
- Oregon State University, Corvallis, OR 97331 USA
| | - V. Basque
- University of Manchester, Manchester, M13 9PL UK
| | - F. Bay
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | | | - E. Bechetoille
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - B. Behera
- Colorado State University, Fort Collins, CO 80523 USA
| | - L. Bellantoni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - V. Bellini
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - O. Beltramello
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Belver
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Benekos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - F. Bento Neves
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - J. Berger
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Berkman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Bernardini
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
- Università del Salento, 73100 Lecce, Italy
| | | | - H. Berns
- University of California Davis, Davis, CA 95616 USA
| | - S. Bertolucci
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - M. Betancourt
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Bezawada
- University of California Davis, Davis, CA 95616 USA
| | - M. Bhattacharjee
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - B. Bhuyan
- Indian Institute of Technology Guwahati, Guwahati, 781 039 India
| | - S. Biagi
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - J. Bian
- University of California Irvine, Irvine, CA 92697 USA
| | - M. Biassoni
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - K. Biery
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Bilki
- Beykent University, Istanbul, Turkey
- University of Iowa, Iowa City, IA 52242 USA
| | - M. Bishai
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Bitadze
- University of Manchester, Manchester, M13 9PL UK
| | - A. Blake
- Lancaster University, Lancaster, LA1 4YB UK
| | - B. Blanco Siffert
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-901 Brazil
| | | | - G. C. Blazey
- Northern Illinois University, DeKalb, IL 60115 USA
| | - E. Blucher
- University of Chicago, Chicago, IL 60637 USA
| | - J. Boissevain
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - S. Bolognesi
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - T. Bolton
- Kansas State University, Manhattan, KS 66506 USA
| | - M. Bonesini
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Bongrand
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - F. Bonini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Booth
- University of Sussex, Brighton, BN1 9RH UK
| | - C. Booth
- University of Sheffield, Sheffield, S3 7RH UK
| | - S. Bordoni
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - A. Borkum
- University of Sussex, Brighton, BN1 9RH UK
| | - T. Boschi
- Durham University, Durham, DH1 3LE UK
| | - N. Bostan
- University of Iowa, Iowa City, IA 52242 USA
| | - P. Bour
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - S. B. Boyd
- University of Warwick, Coventry, CV4 7AL UK
| | - D. Boyden
- Northern Illinois University, DeKalb, IL 60115 USA
| | - J. Bracinik
- University of Birmingham, Birmingham, B15 2TT UK
| | - D. Braga
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Brandt
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - J. Bremer
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Brew
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - E. Brianne
- University of Manchester, Manchester, M13 9PL UK
| | - S. J. Brice
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. Brizzolari
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - C. Bromberg
- Michigan State University, East Lansing, MI 48824 USA
| | | | - J. Brooke
- University of Bristol, Bristol, BS8 1TL UK
| | - A. Bross
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Brunetti
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - N. Buchanan
- Colorado State University, Fort Collins, CO 80523 USA
| | - H. Budd
- University of Rochester, Rochester, NY 14627 USA
| | - D. Caiulo
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - P. Calafiura
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Calcutt
- Michigan State University, East Lansing, MI 48824 USA
| | - M. Calin
- University of Bucharest, Bucharest, Romania
| | - S. Calvez
- Colorado State University, Fort Collins, CO 80523 USA
| | - E. Calvo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - A. Caminata
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | | | - D. Caratelli
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Carini
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - B. Carlus
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - P. Carniti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - H. Carranza
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - A. Castillo
- Universidad Sergio Arboleda, Bogotá, 11022 Colombia
| | | | - C. Cattadori
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - F. Cavalier
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - F. Cavanna
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Centro
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - G. Cerati
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Cervelli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - M. Chalifour
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Chang
- University of California Riverside, Riverside, CA 92521 USA
| | - E. Chardonnet
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | | | - S. Chattopadhyay
- Variable Energy Cyclotron Centre, Kolkata, West Bengal 700 064 India
| | - J. Chaves
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - H. Chen
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Chen
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Chen
- University of Bern, 3012 Bern, Switzerland
| | - D. Cherdack
- University of Houston, Houston, TX 77204 USA
| | - C. Chi
- Columbia University, New York, NY 10027 USA
| | - S. Childress
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - K. Cho
- Korea Institute of Science and Technology Information, Daejeon, 34141 South Korea
| | - S. Choubey
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | | | - D. Christian
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Christodoulou
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - E. Church
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - P. Clarke
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - T. E. Coan
- Southern Methodist University, Dallas, TX 75275 USA
| | - A. G. Cocco
- Istituto Nazionale di Fisica Nucleare Sezione di Napoli, 80126 Naples, Italy
| | | | - E. Conley
- Duke University, Durham, NC 27708 USA
| | - J. M. Conrad
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - M. Convery
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - L. Corwin
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - P. Cotte
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - L. Cremaldi
- University of Mississippi, University, MS 38677 USA
| | | | - J. I. Crespo-Anadón
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - E. Cristaldo
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | - R. Cross
- Lancaster University, Lancaster, LA1 4YB UK
| | - C. Cuesta
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - Y. Cui
- University of California Riverside, Riverside, CA 92521 USA
| | - D. Cussans
- University of Bristol, Bristol, BS8 1TL UK
| | - M. Dabrowski
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. da Motta
- Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ 22290-180 Brazil
| | - L. Da Silva Peres
- Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ 21941-901 Brazil
| | - C. David
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | - Q. David
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - G. S. Davies
- University of Mississippi, University, MS 38677 USA
| | - S. Davini
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - J. Dawson
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - K. De
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. M. De Almeida
- Fluminense Federal University, 9 Icaraí, Niterói, RJ 24220-900 Brazil
| | - P. Debbins
- University of Iowa, Iowa City, IA 52242 USA
| | - I. De Bonis
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - M. P. Decowski
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | | | - P. C. De Holanda
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | | | - P. De Jong
- University of Amsterdam, 1098 XG Amsterdam, The Netherlands
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - A. Delbart
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - D. Delepine
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - M. Delgado
- Universidad Antonio Nariño, Bogotá, Colombia
| | - A. Dell’Acqua
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. De Lurgio
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - D. M. DeMuth
- Valley City State University, Valley City, ND 58072 USA
| | - S. Dennis
- University of Cambridge, Cambridge, CB3 0HE UK
| | - C. Densham
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - G. Deptuch
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. De Roeck
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - V. De Romeri
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | | | - M. Dias
- Universidade Federal de São Paulo, São Paulo, 09913-030 Brazil
| | - F. Diaz
- Pontificia Universidad Católica del Perú, Lima, Peru
| | - J. S. Díaz
- Indiana University, Bloomington, IN 47405 USA
| | - S. Di Domizio
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Di Giulio
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - P. Ding
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Di Noto
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - C. Distefano
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - R. Diurba
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - M. Diwan
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - Z. Djurcic
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - N. Dokania
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - L. Domine
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - D. Douglas
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Drielsma
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - D. Duchesneau
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - K. Duffy
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Dunne
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - T. Durkin
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - H. Duyang
- University of South Carolina, Columbia, SC 29208 USA
| | | | - D. A. Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - M. Eads
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Edmunds
- Michigan State University, East Lansing, MI 48824 USA
| | - J. Eisch
- Iowa State University, Ames, IA 50011 USA
| | - S. Emery
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | | | - C. O. Escobar
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. J. Evans
- University of Manchester, Manchester, M13 9PL UK
| | - E. Ewart
- Indiana University, Bloomington, IN 47405 USA
| | | | - K. Fahey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Falcone
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - C. Farnese
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - Y. Farzan
- Institute for Research in Fundamental Sciences, Tehran, Iran
| | - J. Felix
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | | | | | - F. Ferraro
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - L. Fields
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Filkins
- William and Mary, Williamsburg, VA 23187 USA
| | - F. Filthaut
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | | | - W. Flanagan
- University of Dallas, Irving, TX 75062-4736 USA
| | - B. Fleming
- Yale University, New Haven, CT 06520 USA
| | - R. Flight
- University of Rochester, Rochester, NY 14627 USA
| | - J. Fowler
- Duke University, Durham, NC 27708 USA
| | - W. Fox
- Indiana University, Bloomington, IN 47405 USA
| | - J. Franc
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - K. Francis
- Northern Illinois University, DeKalb, IL 60115 USA
| | - D. Franco
- Yale University, New Haven, CT 06520 USA
| | - J. Freeman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Freestone
- University of Manchester, Manchester, M13 9PL UK
| | - J. Fried
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - A. Friedland
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - S. Fuess
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - I. Furic
- University of Florida, Gainesville, FL 32611-8440 USA
| | - A. P. Furmanski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - A. Gago
- Pontificia Universidad Católica del Perú, Lima, Peru
| | | | - A. Gallego-Ros
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Gallice
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
- Università degli Studi di Milano, 20133 Milan, Italy
| | - V. Galymov
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - E. Gamberini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - T. Gamble
- University of Sheffield, Sheffield, S3 7RH UK
| | - R. Gandhi
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | - R. Gandrajula
- Michigan State University, East Lansing, MI 48824 USA
| | - S. Gao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - S. Gardiner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - G. Ge
- Columbia University, New York, NY 10027 USA
| | - B. Gelli
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | | | - S. Gent
- South Dakota State University, Brookings, SD 57007 USA
| | | | - D. Gibin
- Universtà degli Studi di Padova, 35131 Padua, Italy
| | - I. Gil-Botella
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - C. Girerd
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. K. Giri
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - D. Gnani
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - O. Gogota
- Kyiv National University, Kiev, 01601 Ukraine
| | - M. Gold
- University of New Mexico, Albuquerque, NM 87131 USA
| | - S. Gollapinni
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - K. Gollwitzer
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. A. Gomes
- Universidade Federal de Goias, Goiânia, GO 74690-900 Brazil
| | | | | | - F. Gonnella
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | - O. Goodwin
- University of Manchester, Manchester, M13 9PL UK
| | - S. Goswami
- Physical Research Laboratory, Ahmedabad, 380 009 India
| | - C. Gotti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | | | - C. Grace
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Graham
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - R. Gran
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - E. Granados
- Universidad de Guanajuato, C.P. 37000 Guanajuato, Mexico
| | - A. Grant
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - C. Grant
- Boston University, Boston, MA 02215 USA
| | - D. Gratieri
- Fluminense Federal University, 9 Icaraí, Niterói, RJ 24220-900 Brazil
| | - P. Green
- University of Manchester, Manchester, M13 9PL UK
| | - S. Green
- University of Cambridge, Cambridge, CB3 0HE UK
| | - L. Greenler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - M. Greenwood
- Oregon State University, Corvallis, OR 97331 USA
| | - J. Greer
- University of Bristol, Bristol, BS8 1TL UK
| | | | - M. Groh
- Indiana University, Bloomington, IN 47405 USA
| | | | - K. Grzelak
- University of Warsaw, 00-927 Warsaw, Poland
| | - W. Gu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - V. Guarino
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - A. Guglielmi
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - B. Guo
- University of South Carolina, Columbia, SC 29208 USA
| | | | | | - P. Guzowski
- University of Manchester, Manchester, M13 9PL UK
| | - M. M. Guzzo
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - S. Gwon
- Chung-Ang University, Seoul, 06974 South Korea
| | - A. Habig
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | | | - H. Hadavand
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. Haenni
- University of Bern, 3012 Bern, Switzerland
| | - A. Hahn
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Haigh
- University of Warwick, Coventry, CV4 7AL UK
| | - J. Haiston
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - T. Hamernik
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - P. Hamilton
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Han
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - K. Harder
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - D. A. Harris
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- York University, Toronto, M3J 1P3 Canada
| | | | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki 305-0801 Japan
| | - R. Hatcher
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Hazen
- Boston University, Boston, MA 02215 USA
| | - A. Heavey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Heise
- Sanford Underground Research Facility, Lead, SD 57754 USA
| | - K. Hennessy
- University of Liverpool, Liverpool, L69 7ZE UK
| | - S. Henry
- University of Rochester, Rochester, NY 14627 USA
| | | | - K. Herner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Hertel
- University of California Irvine, Irvine, CA 92697 USA
| | - A. S. Hesam
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. Hewes
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - A. Higuera
- University of Houston, Houston, TX 77204 USA
| | - T. Hill
- Idaho State University, Pocatello, ID 83209 USA
| | | | - A. Himmel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Hoff
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. Hohl
- University of Basel, 4056 Basel, Switzerland
| | - A. Holin
- University College London, London, WC1E 6BT UK
| | - E. Hoppe
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | | | | | - A. Hourlier
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - B. Howard
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Howell
- University of Rochester, Rochester, NY 14627 USA
| | - J. Huang
- University of Texas at Austin, Austin, TX 78712 USA
| | - J. Huang
- University of California Davis, Davis, CA 95616 USA
| | - J. Hugon
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - G. Iles
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - N. Ilic
- University of Toronto, Toronto, ON M5S 1A1 Canada
| | - A. M. Iliescu
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Illingworth
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Ioannisian
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - R. Itay
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. Izmaylov
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - E. James
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Jargowsky
- University of California Irvine, Irvine, CA 92697 USA
| | - F. Jediny
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | | | - X. Ji
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - L. Jiang
- Virginia Tech, Blacksburg, VA 24060 USA
| | - S. Jiménez
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Jipa
- University of Bucharest, Bucharest, Romania
| | - A. Joglekar
- University of California Riverside, Riverside, CA 92521 USA
| | - C. Johnson
- Colorado State University, Fort Collins, CO 80523 USA
| | - R. Johnson
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - B. Jones
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - S. Jones
- University College London, London, WC1E 6BT UK
| | - C. K. Jung
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - T. Junk
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Y. Jwa
- Columbia University, New York, NY 10027 USA
| | | | - A. Kaboth
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - I. Kadenko
- Kyiv National University, Kiev, 01601 Ukraine
| | - F. Kamiya
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | | | - A. Karcher
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Karolak
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - Y. Karyotakis
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - S. Kasai
- National Institute of Technology, Kure College, Hiroshima, 737-8506 Japan
| | - S. P. Kasetti
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - L. Kashur
- Colorado State University, Fort Collins, CO 80523 USA
| | - N. Kazaryan
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - E. Kearns
- Boston University, Boston, MA 02215 USA
| | - P. Keener
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. J. Kelly
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Kemp
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - W. Ketchum
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - D. Kim
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - B. King
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - B. Kirby
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Kirby
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Klein
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Koehler
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - S. Kohn
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - M. Kordosky
- William and Mary, Williamsburg, VA 23187 USA
| | - T. Kosc
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - U. Kose
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | | | | | - I. Kreslo
- University of Bern, 3012 Bern, Switzerland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | | | - S. Kulagin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - J. Kumar
- University of Hawaii, Honolulu, HI 96822 USA
| | - R. Kumar
- Punjab Agricultural University, Ludhiana, 141004 India
| | - C. Kuruppu
- University of South Carolina, Columbia, SC 29208 USA
| | - V. Kus
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Kutter
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - A. Lambert
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - K. Lande
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - C. E. Lane
- Drexel University, Philadelphia, PA 19104 USA
| | - K. Lang
- University of Texas at Austin, Austin, TX 78712 USA
| | | | - P. Lasorak
- University of Sussex, Brighton, BN1 9RH UK
| | - D. Last
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - C. Lastoria
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Laundrie
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - A. Lawrence
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - I. Lazanu
- University of Bucharest, Bucharest, Romania
| | - R. LaZur
- Colorado State University, Fort Collins, CO 80523 USA
| | - T. Le
- Tufts University, Medford, MA 02155 USA
| | - J. Learned
- University of Hawaii, Honolulu, HI 96822 USA
| | - P. LeBrun
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - G. Lehmann Miotto
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Lehnert
- Indiana University, Bloomington, IN 47405 USA
| | | | - M. Leitner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Leyton
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - L. Li
- University of California Irvine, Irvine, CA 92697 USA
| | - S. Li
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. W. Li
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - T. Li
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - Y. Li
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - H. Liao
- Kansas State University, Manhattan, KS 66506 USA
| | - C. S. Lin
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Lin
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - A. Lister
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - J. Liu
- University of California Irvine, Irvine, CA 92697 USA
| | - S. Lockwitz
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - T. Loew
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - M. Lokajicek
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - I. Lomidze
- Georgian Technical University, Tbilisi, Georgia
| | - K. Long
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - K. Loo
- University of Jyvaskyla, 40014 Jyväskylä, Finland
| | - D. Lorca
- University of Bern, 3012 Bern, Switzerland
| | - T. Lord
- University of Warwick, Coventry, CV4 7AL UK
| | | | - W. C. Louis
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - K. B. Luk
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - X. Luo
- University of California Santa Barbara, Santa Barbara, CA 93106 USA
| | - N. Lurkin
- University of Birmingham, Birmingham, B15 2TT UK
| | - T. Lux
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - V. P. Luzio
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - D. MacFarland
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - A. A. Machado
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - P. Machado
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. R. Macier
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Maddalena
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - P. Madigan
- University of California Berkeley, Berkeley, CA 94720 USA
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Magill
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - K. Mahn
- Michigan State University, East Lansing, MI 48824 USA
| | - A. Maio
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | | | - G. Mandrioli
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Maneira
- Faculdade de Ciências da Universidade de Lisboa-FCUL, 1749-016 Lisbon, Portugal
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - L. Manenti
- University College London, London, WC1E 6BT UK
| | - S. Manly
- University of Rochester, Rochester, NY 14627 USA
| | - A. Mann
- Tufts University, Medford, MA 02155 USA
| | | | | | - A. Marchionni
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Marciano
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - D. Marfatia
- University of Hawaii, Honolulu, HI 96822 USA
| | | | - J. Maricic
- University of Hawaii, Honolulu, HI 96822 USA
| | - F. Marinho
- Universidade Federal de São Carlos, Araras, SP 13604-900 Brazil
| | - A. D. Marino
- University of Colorado Boulder, Boulder, CO 80309 USA
| | - M. Marshak
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - C. Marshall
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | | | - J. Marteau
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - J. Martin-Albo
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - N. Martinez
- Kansas State University, Manhattan, KS 66506 USA
| | | | - S. Martynenko
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - K. Mason
- Tufts University, Medford, MA 02155 USA
| | - A. Mastbaum
- Rutgers University, Piscataway, NJ 08854 USA
| | - M. Masud
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Matsuno
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Matthews
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - C. Mauger
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Mauri
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - R. Mazza
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - A. Mazzacane
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Mazzucato
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - E. McCluskey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. McConkey
- University of Manchester, Manchester, M13 9PL UK
| | | | - C. McGrew
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - A. McNab
- University of Manchester, Manchester, M13 9PL UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - P. Mehta
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - P. Melas
- University of Athens, 157 84 Zografou, Greece
| | - M. Mellinato
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - O. Mena
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Menary
- York University, Toronto, M3J 1P3 Canada
| | - H. Mendez
- University of Puerto Rico, Mayagüez, PR 00681 USA
| | - A. Menegolli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Meng
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | | | - W. Metcalf
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - M. Mewes
- Indiana University, Bloomington, IN 47405 USA
| | - H. Meyer
- Wichita State University, Wichita, KS 67260 USA
| | - T. Miao
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Michna
- South Dakota State University, Brookings, SD 57007 USA
| | - T. Miedema
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
- Radboud University, 6525 AJ Nijmegen, The Netherlands
| | - J. Migenda
- University of Sheffield, Sheffield, S3 7RH UK
| | - R. Milincic
- University of Hawaii, Honolulu, HI 96822 USA
| | - W. Miller
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - J. Mills
- Tufts University, Medford, MA 02155 USA
| | - C. Milne
- Idaho State University, Pocatello, ID 83209 USA
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - O. G. Miranda
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - S. Miryala
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - C. S. Mishra
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. R. Mishra
- University of South Carolina, Columbia, SC 29208 USA
| | - A. Mislivec
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - D. Mladenov
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - I. Mocioiu
- Pennsylvania State University, University Park, PA 16802 USA
| | - K. Moffat
- Durham University, Durham, DH1 3LE UK
| | - N. Moggi
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - R. Mohanta
- University of Hyderabad, Gachibowli, Hyderabad, 500 046 India
| | - T. A. Mohayai
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Mokhov
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Molina
- Universidad Nacional de Asunción, San Lorenzo, Paraguay
| | | | - A. Montanari
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - C. Montanari
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - D. Montanari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. M. Montano Zetina
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), Mexico City, Mexico
| | - J. Moon
- Massachusetts Institute of Technology, Cambridge, MA 02139 USA
| | - M. Mooney
- Colorado State University, Fort Collins, CO 80523 USA
| | - A. Moor
- University of Cambridge, Cambridge, CB3 0HE UK
| | - D. Moreno
- Universidad Antonio Nariño, Bogotá, Colombia
| | - B. Morgan
- University of Warwick, Coventry, CV4 7AL UK
| | - C. Morris
- University of Houston, Houston, TX 77204 USA
| | - C. Mossey
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Motuk
- University College London, London, WC1E 6BT UK
| | - C. A. Moura
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - J. Mousseau
- University of Michigan, Ann Arbor, MI 48109 USA
| | - W. Mu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Mualem
- California Institute of Technology, Pasadena, CA 91125 USA
| | - J. Mueller
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Muether
- Wichita State University, Wichita, KS 67260 USA
| | - S. Mufson
- Indiana University, Bloomington, IN 47405 USA
| | - F. Muheim
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | - A. Muir
- Daresbury Laboratory, Cheshire, WA4 4AD UK
| | - M. Mulhearn
- University of California Davis, Davis, CA 95616 USA
| | - H. Muramatsu
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | | | - J. Musser
- Indiana University, Bloomington, IN 47405 USA
| | | | - S. Nagu
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - M. Nalbandyan
- Yerevan Institute for Theoretical Physics and Modeling, 0036 Yerevan, Armenia
| | - R. Nandakumar
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - D. Naples
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - S. Narita
- Iwate University, Morioka, Iwate 020-8551 Japan
| | - D. Navas-Nicolás
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - N. Nayak
- University of California Irvine, Irvine, CA 92697 USA
| | | | - L. Necib
- California Institute of Technology, Pasadena, CA 91125 USA
| | - K. Negishi
- Iwate University, Morioka, Iwate 020-8551 Japan
| | | | - J. Nesbit
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - M. Nessi
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Newbold
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Newcomer
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - D. Newhart
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Nichol
- University College London, London, WC1E 6BT UK
| | - E. Niner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - A. Norman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Norrick
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Northrop
- University of Chicago, Chicago, IL 60637 USA
| | - P. Novella
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | | | - M. Oberling
- Argonne National Laboratory, Argonne, IL 60439 USA
| | | | - A. Olivier
- University of Rochester, Rochester, NY 14627 USA
| | - Y. Onel
- University of Iowa, Iowa City, IA 52242 USA
| | | | - J. Ott
- University of California Irvine, Irvine, CA 92697 USA
| | - L. Pagani
- University of California Davis, Davis, CA 95616 USA
| | - S. Pakvasa
- University of Hawaii, Honolulu, HI 96822 USA
| | - O. Palamara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Palestini
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - J. M. Paley
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Pallavicini
- Università degli Studi di Genova, Genoa, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - C. Palomares
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - E. Pantic
- University of California Davis, Davis, CA 95616 USA
| | - V. Paolone
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | | | - R. Papaleo
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - A. Papanestis
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - J. C. Park
- Chungnam National University, Daejeon, 34134 South Korea
| | - S. Parke
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - Z. Parsa
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Parvu
- University of Bucharest, Bucharest, Romania
| | | | - L. Pasqualini
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Pasternak
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - J. Pater
- University of Manchester, Manchester, M13 9PL UK
| | - C. Patrick
- University College London, London, WC1E 6BT UK
| | - L. Patrizii
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | | | - S. J. Patton
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - T. Patzak
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - A. Paudel
- Kansas State University, Manhattan, KS 66506 USA
| | - B. Paulos
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - L. Paulucci
- Universidade Federal do ABC, Santo André, SP 09210-580 Brazil
| | - Z. Pavlovic
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - G. Pawloski
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - D. Payne
- University of Liverpool, Liverpool, L69 7ZE UK
| | - V. Pec
- University of Sheffield, Sheffield, S3 7RH UK
| | | | - Y. Penichot
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - E. Pennacchio
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - A. Penzo
- University of Iowa, Iowa City, IA 52242 USA
| | - O. L. G. Peres
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - J. Perry
- University of Edinburgh, Edinburgh, EH8 9YL UK
| | | | - G. Pessina
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
| | - G. Petrillo
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. Petta
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Petti
- University of South Carolina, Columbia, SC 29208 USA
| | - F. Piastra
- University of Bern, 3012 Bern, Switzerland
| | - L. Pickering
- Michigan State University, East Lansing, MI 48824 USA
| | - F. Pietropaolo
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - J. Pillow
- University of Warwick, Coventry, CV4 7AL UK
| | - J. Pinzino
- University of Toronto, Toronto, ON M5S 1A1 Canada
| | - R. Plunkett
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Poling
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - X. Pons
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - S. Pordes
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Potekhin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - R. Potenza
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | | | - J. Pozimski
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Pozzato
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - S. Prakash
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - T. Prakash
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - S. Prince
- Harvard University, Cambridge, MA 02138 USA
| | - G. Prior
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - D. Pugnere
- Institut de Physique des 2 Infinis de Lyon, 69622 Villeurbanne, France
| | - K. Qi
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - X. Qian
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. L. Raaf
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - R. Raboanary
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - V. Radeka
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - A. Rafique
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - E. Raguzin
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Rai
- University of Warwick, Coventry, CV4 7AL UK
| | | | - I. Rakhno
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | | | | | - R. Rameika
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - B. Ramson
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Rappoldi
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - G. Raselli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - P. Ratoff
- Lancaster University, Lancaster, LA1 4YB UK
| | - S. Ravat
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - H. Razafinime
- University of Antananarivo, 101 Antananarivo, Madagascar
| | - J. S. Real
- University Grenoble Alpes, CNRS, Grenoble INP, LPSC-IN2P3, 38000 Grenoble, France
| | - B. Rebel
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - D. Redondo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | | | - T. Rehak
- Drexel University, Philadelphia, PA 19104 USA
| | - J. Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - S. D. Reitzner
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Renshaw
- University of Houston, Houston, TX 77204 USA
| | - S. Rescia
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - F. Resnati
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - G. Riccobene
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | | | - K. Rielage
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | | | - D. Rivera
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - L. Rochester
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. Roda
- University of Liverpool, Liverpool, L69 7ZE UK
| | | | | | | | | | - H. Rogers
- Colorado State University, Fort Collins, CO 80523 USA
| | | | - M. Rossella
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
- Università degli Studi di Pavia, 27100 Pavia, PV Italy
| | - J. Rout
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - S. Roy
- Harish-Chandra Research Institute, Jhunsi, Allahabad, 211 019 India
| | | | - C. Rubbia
- Gran Sasso Science Institute, L’Aquila, Italy
| | - B. Russell
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Russell
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - R. Saakyan
- University College London, London, WC1E 6BT UK
| | - S. Sacerdoti
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - T. Safford
- Michigan State University, East Lansing, MI 48824 USA
| | - N. Sahu
- Indian Institute of Technology Hyderabad, Hyderabad, 502285 India
| | - P. Sala
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - N. Samios
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | | | - D. Sankey
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - S. Santana
- University of Puerto Rico, Mayagüez, PR 00681 USA
| | | | | | - P. Sapienza
- Istituto Nazionale di Fisica Nucleare Laboratori Nazionali del Sud, 95123 Catania, Italy
| | - C. Sarasty
- University of Cincinnati, Cincinnati, OH 45221 USA
| | | | - G. Savage
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - V. Savinov
- University of Pittsburgh, Pittsburgh, PA 15260 USA
| | - A. Scaramelli
- Istituto Nazionale di Fisica Nucleare Sezione di Pavia, 27100 Pavia, Italy
| | - A. Scarff
- University of Sheffield, Sheffield, S3 7RH UK
| | - A. Scarpelli
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Schaffer
- University of Minnesota Duluth, Duluth, MN 55812 USA
| | - H. Schellman
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
- Oregon State University, Corvallis, OR 97331 USA
| | - P. Schlabach
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - D. Schmitz
- University of Chicago, Chicago, IL 60637 USA
| | | | - A. Schukraft
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Segreto
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - J. Sensenig
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | - I. Seong
- University of California Irvine, Irvine, CA 92697 USA
| | - A. Sergi
- University of Birmingham, Birmingham, B15 2TT UK
| | | | | | | | - S. Shafaq
- Jawaharlal Nehru University, New Delhi, 110067 India
| | - M. Shamma
- University of California Riverside, Riverside, CA 92521 USA
| | | | - R. Sharma
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Shaw
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - S. Shin
- Jeonbuk National University, Jeonju, Jeonrabuk-do 54896 South Korea
| | - D. Shooltz
- Michigan State University, East Lansing, MI 48824 USA
| | - R. Shrock
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - L. Simard
- Laboratoire de l’Accélérateur Linéaire, 91440 Orsay, France
| | - N. Simos
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - G. Sinev
- Duke University, Durham, NC 27708 USA
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - J. Singh
- University of Lucknow, Lucknow, Uttar Pradesh 226007 India
| | - V. Singh
- Banaras Hindu University, Varanasi, 221 005 India
- Central University of South Bihar, Gaya, 824236 India
| | - R. Sipos
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | | | - G. Sirri
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - A. Sitraka
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - K. Siyeon
- Chung-Ang University, Seoul, 06974 South Korea
| | | | - A. Smith
- Duke University, Durham, NC 27708 USA
| | - A. Smith
- University of Cambridge, Cambridge, CB3 0HE UK
| | - E. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - P. Smith
- Indiana University, Bloomington, IN 47405 USA
| | - J. Smolik
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - M. Smy
- University of California Irvine, Irvine, CA 92697 USA
| | - P. Snopok
- Illinois Institute of Technology, Chicago, IL 60616 USA
| | - M. Soares Nunes
- Universidade Estadual de Campinas, Campinas, SP 13083-970 Brazil
| | - H. Sobel
- University of California Irvine, Irvine, CA 92697 USA
| | | | | | | | - N. Solomey
- Wichita State University, Wichita, KS 67260 USA
| | - V. Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas, 1649-003, Lisbon and, 3004-516 Coimbra, Portugal
| | - W. E. Sondheim
- Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - M. Sorel
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - J. Soto-Oton
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - A. Sousa
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - K. Soustruznik
- Institute of Particle and Nuclear Physics of the Faculty of Mathematics and Physics of the Charles University, 180 00 Prague 8, Czech Republic
| | | | - M. Spanu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. Spitz
- University of Michigan, Ann Arbor, MI 48109 USA
| | | | | | - R. Staley
- University of Birmingham, Birmingham, B15 2TT UK
| | - M. Stancari
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - L. Stanco
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - H. M. Steiner
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. Stewart
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - J. Stock
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - F. Stocker
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - D. Stocks
- Stanford University, Stanford, CA 94305 USA
| | - T. Stokes
- Louisiana State University, Baton Rouge, LA 70803 USA
| | - M. Strait
- University of Minnesota Twin Cities, Minneapolis, MN 55455 USA
| | - T. Strauss
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Striganov
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - A. Stuart
- Universidad de Colima, Colima, Mexico
| | - D. Summers
- University of Mississippi, University, MS 38677 USA
| | - A. Surdo
- Istituto Nazionale di Fisica Nucleare Sezione di Lecce, 73100 Lecce, Italy
| | - V. Susic
- University of Basel, 4056 Basel, Switzerland
| | - L. Suter
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - C. M. Sutera
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - R. Svoboda
- University of California Davis, Davis, CA 95616 USA
| | - B. Szczerbinska
- Texas A&M University-Corpus Christi, Corpus Christi, TX 78412 USA
| | - A. M. Szelc
- University of Manchester, Manchester, M13 9PL UK
| | - R. Talaga
- Argonne National Laboratory, Argonne, IL 60439 USA
| | - H. A. Tanaka
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - A. Tapper
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - S. Tariq
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - E. Tatar
- Idaho State University, Pocatello, ID 83209 USA
| | - R. Tayloe
- Indiana University, Bloomington, IN 47405 USA
| | - A. M. Teklu
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - M. Tenti
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - K. Terao
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - C. A. Ternes
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - F. Terranova
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - G. Testera
- Istituto Nazionale di Fisica Nucleare Sezione di Genova, 16146 Genoa, GE Italy
| | - A. Thea
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | | | - C. Thorn
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - S. C. Timm
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Todd
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - A. Tonazzo
- Université de Paris, CNRS, Astroparticule et Cosmologie, 75006 Paris, France
| | - M. Torti
- Istituto Nazionale di Fisica Nucleare Sezione di Milano Bicocca, 3, 20126 Milan, Italy
- Università del Milano-Bicocca, 20126 Milan, Italy
| | - M. Tortola
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - F. Tortorici
- Università di Catania, 2, 95131 Catania, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Catania, 95123 Catania, Italy
| | - D. Totani
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - M. Toups
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - J. Trevor
- California Institute of Technology, Pasadena, CA 91125 USA
| | | | - Y.-T. Tsai
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | | | - K. V. Tsang
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - N. Tsverava
- Georgian Technical University, Tbilisi, Georgia
| | - S. Tufanli
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - C. Tull
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - E. Tyley
- University of Sheffield, Sheffield, S3 7RH UK
| | - M. Tzanov
- Louisiana State University, Baton Rouge, LA 70803 USA
| | | | - J. Urheim
- Indiana University, Bloomington, IN 47405 USA
| | - T. Usher
- SLAC National Accelerator Laboratory, Menlo Park, CA 94025 USA
| | - M. R. Vagins
- Kavli Institute for the Physics and Mathematics of the Universe, Kashiwa, Chiba 277-8583 Japan
| | - P. Vahle
- William and Mary, Williamsburg, VA 23187 USA
| | - G. A. Valdiviesso
- Universidade Federal de Alfenas, Poços de Caldas, MG 37715-400 Brazil
| | - E. Valencia
- William and Mary, Williamsburg, VA 23187 USA
| | - Z. Vallari
- California Institute of Technology, Pasadena, CA 91125 USA
| | - J. W. F. Valle
- Instituto de Fisica Corpuscular, 46980 Paterna, Valencia Spain
| | - S. Vallecorsa
- CERN, The European Organization for Nuclear Research, 1211 Meyrin, Switzerland
| | - R. Van Berg
- University of Pennsylvania, Philadelphia, PA 19104 USA
| | | | | | - F. Varanini
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - D. Vargas
- Institut de Fìsica d’Altes Energies, Barcelona, Spain
| | - G. Varner
- University of Hawaii, Honolulu, HI 96822 USA
| | - J. Vasel
- Indiana University, Bloomington, IN 47405 USA
| | - G. Vasseur
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - K. Vaziri
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - S. Ventura
- Istituto Nazionale di Fisica Nucleare Sezione di Padova, 35131 Padua, Italy
| | - A. Verdugo
- CIEMAT, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Vergani
- University of Cambridge, Cambridge, CB3 0HE UK
| | - M. A. Vermeulen
- Nikhef National Institute of Subatomic Physics, 1098 XG Amsterdam, The Netherlands
| | - M. Verzocchi
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | | | - C. Vignoli
- Laboratori Nazionali del Gran Sasso, L’Aquila, AQ Italy
| | - C. Vilela
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - B. Viren
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - T. Vrba
- Czech Technical University, 115 19 Prague 1, Czech Republic
| | - T. Wachala
- H. Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland
| | - A. V. Waldron
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - M. Wallbank
- University of Cincinnati, Cincinnati, OH 45221 USA
| | - H. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - J. Wang
- University of California Davis, Davis, CA 95616 USA
| | - Y. Wang
- University of California Los Angeles, Los Angeles, CA 90095 USA
| | - Y. Wang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - D. Warner
- Colorado State University, Fort Collins, CO 80523 USA
| | - M. Wascko
- Imperial College of Science Technology and Medicine, London, SW7 2BZ UK
| | - D. Waters
- University College London, London, WC1E 6BT UK
| | - A. Watson
- University of Birmingham, Birmingham, B15 2TT UK
| | | | - A. Weber
- University of Oxford, Oxford, OX1 3RH UK
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - M. Weber
- University of Bern, 3012 Bern, Switzerland
| | - H. Wei
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | | | - D. Wenman
- University of Wisconsin Madison, Madison, WI 53706 USA
| | | | - M. R. While
- South Dakota School of Mines and Technology, Rapid City, SD 57701 USA
| | - A. White
- University of Texas at Arlington, Arlington, TX 76019 USA
| | | | | | - M. J. Wilking
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | | | - Z. Williams
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - F. Wilson
- STFC Rutherford Appleton Laboratory, Didcot, OX11 0QX UK
| | - R. J. Wilson
- Colorado State University, Fort Collins, CO 80523 USA
| | | | | | - K. Wood
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - L. Wood
- Pacific Northwest National Laboratory, Richland, WA 99352 USA
| | - E. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Worcester
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - C. Wret
- University of Rochester, Rochester, NY 14627 USA
| | - W. Wu
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - W. Wu
- University of California Irvine, Irvine, CA 92697 USA
| | - Y. Xiao
- University of California Irvine, Irvine, CA 92697 USA
| | - G. Yang
- Stony Brook University, SUNY, Stony Brook, NY 11794 USA
| | - T. Yang
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, 117312 Russia
| | - K. Yonehara
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - T. Young
- University of North Dakota, Grand Forks, ND 58202-8357 USA
| | - B. Yu
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - J. Yu
- University of Texas at Arlington, Arlington, TX 76019 USA
| | - R. Zaki
- York University, Toronto, M3J 1P3 Canada
| | - J. Zalesak
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - L. Zambelli
- Laboratoire d’Annecy-le-Vieux de Physique des Particules, CNRS/IN2P3 and Université Savoie Mont Blanc, 74941 Annecy-le-Vieux, France
| | - B. Zamorano
- University of Granada and CAFPE, 18002 Granada, Spain
| | - A. Zani
- Istituto Nazionale di Fisica Nucleare Sezione di Milano, 20133 Milan, Italy
| | - L. Zazueta
- William and Mary, Williamsburg, VA 23187 USA
| | - G. P. Zeller
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - J. Zennamo
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| | - K. Zeug
- University of Wisconsin Madison, Madison, WI 53706 USA
| | - C. Zhang
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - M. Zhao
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - Y. Zhao
- University of Utah, Salt Lake City, UT 84112 USA
| | - E. Zhivun
- Brookhaven National Laboratory, Upton, NY 11973 USA
| | - G. Zhu
- Ohio State University, Columbus, OH 43210 USA
| | | | - M. Zito
- CEA/Saclay, IRFU Institut de Recherche sur les Lois Fondamentales de l’Univers, 91191 Gif-sur-Yvette Cedex, France
| | - S. Zucchelli
- Università del Bologna, 40127 Bologna, Italy
- Istituto Nazionale di Fisica Nucleare Sezione di Bologna, 40127 Bologna, BO Italy
| | - J. Zuklin
- Institute of Physics, Czech Academy of Sciences, 182 00 Prague 8, Czech Republic
| | - V. Zutshi
- Northern Illinois University, DeKalb, IL 60115 USA
| | - R. Zwaska
- Fermi National Accelerator Laboratory, Batavia, IL 60510 USA
| |
Collapse
|
231
|
Wang Y, Chen H, Sheng R, Fu Z, Fan J, Wu W, Tu Q, Guo R. Synthesis and Bioactivities of Marine Pyran-Isoindolone Derivatives as Potential Antithrombotic Agents. Mar Drugs 2021; 19:218. [PMID: 33921137 PMCID: PMC8071544 DOI: 10.3390/md19040218] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/21/2022] Open
Abstract
2,5-Bis-[8-(4,8-dimethyl-nona-3,7-dienyl)-5,7-dihydroxy-8-methyl-3-keto-1,2,7,8-teraahydro-6H-pyran[a]isoindol-2-yl]-pentanoic acid (FGFC1) is a marine pyran-isoindolone derivative isolated from a rare marine microorganism Stachybotrys longispora FG216, which showed moderate antithrombotic(fibrinolytic) activity. To further enhance its antithrombotic effect, a series of new FGFC1 derivatives (F1-F7) were synthesized via chemical modification at C-2 and C-2' phenol groups moieties and C-1″ carboxyl group. Their fibrinolytic activities in vitro were evaluated. Among the derivatives, F1-F4 and F6 showed significant fibrinolytic activities with EC50 of 59.7, 87.1, 66.6, 82.8, and 42.3 μM, respectively, via enhancement of urokinase activity. Notably, derivative F6 presented the most remarkable fibrinolytic activity (2.72-fold than that of FGFC1). Furthermore, the cytotoxicity of derivative F6 was tested as well as expression of Fas/Apo-1 and IL-1 on HeLa cells. The results showed that, compared to FGFC1, derivative F6 possessed moderate cytotoxicity and apoptotic effect on HeLa cells (statistical significance p > 0.1), making F6 a potential antithrombotic agent towards clinical application.
Collapse
Affiliation(s)
- Yinan Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (Y.W.); (Z.F.); (W.W.)
| | - Hui Chen
- Shanghai Engineering Research Center of Hadal Science and Technology, College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;
| | - Ruilong Sheng
- CQM-Centro de Química da Madeira, Campus da Penteada, Universidade da Madeira, 9000-390 Funchal, Portugal;
| | - Zhe Fu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (Y.W.); (Z.F.); (W.W.)
| | - Junting Fan
- School of Pharmacy, Nanjing Medical University, Nanjing 211166, China;
| | - Wenhui Wu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (Y.W.); (Z.F.); (W.W.)
| | - Qidong Tu
- School of Pharmacy, Jiangxi Science and Technology Normal University, Nanchang 330013, China
| | - Ruihua Guo
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; (Y.W.); (Z.F.); (W.W.)
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China
| |
Collapse
|
232
|
Wen X, Huang Q, Nie D, Zhao X, Cao H, Wu W, Han Z. A Multifunctional N-Doped Cu-MOFs (N-Cu-MOF) Nanomaterial-Driven Electrochemical Aptasensor for Sensitive Detection of Deoxynivalenol. Molecules 2021; 26:molecules26082243. [PMID: 33924544 PMCID: PMC8069659 DOI: 10.3390/molecules26082243] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 04/08/2021] [Accepted: 04/10/2021] [Indexed: 12/22/2022] Open
Abstract
Deoxynivalenol (DON) is one of the most common mycotoxins in grains, causing gastrointestinal inflammation, neurotoxicity, hepatotoxicity and embryotoxicity, even at a low quantity. In this study, a facile electrochemical aptasensor was established for the rapid and sensitive determination of DON based on a multifunctional N-doped Cu-metallic organic framework (N–Cu–MOF) nanomaterial. The N–Cu–MOF, with a large specific surface area and good electrical conductivity, served not only as an optimal electrical signal probe but also as an effective supporting substrate for stabilizing aptamers through the interactions of amino (-NH2) and copper. Under the optimal conditions, the proposed sensor provided a wide linear concentration range of 0.02–20 ng mL−1 (R2 = 0.994), showing high sensitivity, with a lower detection limit of 0.008 ng mL−1, and good selectivity. The sensor’s effectiveness was also verified in real spiked wheat samples with satisfactory recoveries of 95.6–105.9%. The current work provides a flexible approach for the rapid and sensitive analysis of highly toxic DON in food samples and may also be easily extended to detect other hazardous substances with alternative target-recognition aptamers.
Collapse
Affiliation(s)
- Xiaoyan Wen
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
| | - Qingwen Huang
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
| | - Dongxia Nie
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
- Correspondence: (D.N.); (W.W.); Tel.: +86-021-37196975 (D.N.); +86-021-61900388 (W.W.)
| | - Xiuying Zhao
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
| | - Haojie Cao
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
| | - Wenhui Wu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Correspondence: (D.N.); (W.W.); Tel.: +86-021-37196975 (D.N.); +86-021-61900388 (W.W.)
| | - Zheng Han
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; (X.W.); (X.Z.); (H.C.); (Z.H.)
- Shanghai Key Laboratory of Protected Horticultural Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Institute for Agro-Food Standards and Testing Technology, Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China;
| |
Collapse
|
233
|
Jiang A, Yin D, Zhang L, Li B, Li R, Zhang X, Zhang Z, Liu H, Kim K, Wu W. Parsing the microRNA genetics basis regulating skeletal muscle fiber types and meat quality traits in pigs. Anim Genet 2021; 52:292-303. [PMID: 33840112 DOI: 10.1111/age.13064] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/29/2022]
Abstract
Muscle fibers are closely related to human diseases and livestock meat quality. However, the genetics basis of microRNAs (miRNAs) in regulating muscle fibers is not completely understood. In this study, we constructed the whole genome-wide miRNA expression profiles of porcine fast-twitch muscle [biceps femoris (Bf)] and slow-twitch muscle [soleus (Sol)], and identified hundreds of miRNAs, including four skeletal muscle-highly expressed miRNAs, ssc-miR-378, ssc-let-7f, ssc-miR-26a, and ssc-miR-27b-3p. Moreover, we identified 63 differentially expressed (DE) miRNAs between biceps femoris vs. soleus, which are the key candidate miRNAs regulating the skeletal muscle fiber types. In addition, we found that the expression of DE ssc-miR-499-5p was significantly correlated to the expression of Myoglobin (r = 0.6872, P < 0.0001) and Myosin heavy chain 7 (MYH7; r = 0.5408, P = 0.0020), and pH45 min (r = 0.3806, P = 0.0380) and glucose content (r = -0.4382, P = 0.0154); while the expression of DE ssc-miR-499-3p was significantly correlated to the expression of Myoglobin (r = 0.5340, P = 0.0024) and pH45 min (r = 0.4857, P = 0.0065). Taken together, our data established a sound foundation for further studies on the regulatory mechanisms of miRNAs in skeletal muscle fiber conversion and meat quality traits in livestock, and could provide a genetic explanation of the role of miRNAs in human muscular diseases.
Collapse
Affiliation(s)
- A Jiang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - D Yin
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - L Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - B Li
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - R Li
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - X Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - Z Zhang
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - H Liu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| | - K Kim
- Department of Food Science, Purdue University, West Lafayette, IN, 47897, USA
| | - W Wu
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, China
| |
Collapse
|
234
|
Du JB, Tao SY, Lin Y, Zhao Y, Lyu G, Xia YK, Lu CC, Wu W, Ma HX, Jin GF, Hu ZB, Shen HB. [Application of cloud-based information platform in China National Birth Cohort]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:586-590. [PMID: 34814434 DOI: 10.3760/cma.j.cn112338-20201211-01404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Birth cohort is an important observational study which can continuously and dynamically collect the exposure changes and health outcomes from gametophyte development to adolescence and even old age. However, because of its complex design and difficult implementation, how to construct birth cohort with high quality and high efficiency is the main difficulty faced by epidemiologists at home and abroad. In 2016, China National Birth Cohort was officially launched. The network and information technology were used to explore, and a set of "cloud-based information platform" was established to support this queue construction, containing 16 units in China. After four years of development, the platform has formed a complete set of programs about the construction of cohort information platform, which including recruitment and follow-up management of participants, real-time data interaction, queue quality control, multi-level authority management and function division. The relevant design framework and functional elements provide the references to the future information construction of large-scale birth cohort and even population-based research in China.
Collapse
Affiliation(s)
- J B Du
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - S Y Tao
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Lin
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Department of Maternal, Child and Adolescent Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - G Lyu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Y K Xia
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - C C Lu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - W Wu
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - H X Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - G F Jin
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - Z B Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| | - H B Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing 211166, China
| |
Collapse
|
235
|
Abi B, Albahri T, Al-Kilani S, Allspach D, Alonzi LP, Anastasi A, Anisenkov A, Azfar F, Badgley K, Baeßler S, Bailey I, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Basti A, Bedeschi F, Behnke A, Berz M, Bhattacharya M, Binney HP, Bjorkquist R, Bloom P, Bono J, Bottalico E, Bowcock T, Boyden D, Cantatore G, Carey RM, Carroll J, Casey BCK, Cauz D, Ceravolo S, Chakraborty R, Chang SP, Chapelain A, Chappa S, Charity S, Chislett R, Choi J, Chu Z, Chupp TE, Convery ME, Conway A, Corradi G, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, De Lurgio PM, Debevec PT, Di Falco S, Di Meo P, Di Sciascio G, Di Stefano R, Drendel B, Driutti A, Duginov VN, Eads M, Eggert N, Epps A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fiedler A, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Frlež E, Froemming NS, Fry J, Fu C, Gabbanini C, Galati MD, Ganguly S, Garcia A, Gastler DE, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Hahn D, Halewood-Leagas T, Hampai D, Han F, Hazen E, Hempstead J, Henry S, Herrod AT, Hertzog DW, Hesketh G, Hibbert A, Hodge Z, Holzbauer JL, Hong KW, Hong R, Iacovacci M, Incagli M, Johnstone C, Johnstone JA, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler D, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kim SC, Kim YI, King B, Kinnaird N, Korostelev M, Kourbanis I, Kraegeloh E, Krylov VA, Kuchibhotla A, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee MJ, Lee S, Leo S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lucà A, Lukicov G, Luo G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Marignetti F, Mastroianni S, Maxfield S, McEvoy M, Merritt W, Mikhailichenko AA, Miller JP, Miozzi S, Morgan JP, Morse WM, Mott J, Motuk E, Nath A, Newton D, Nguyen H, Oberling M, Osofsky R, Ostiguy JF, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Popovic M, Price J, Quinn B, Raha N, Ramachandran S, Ramberg E, Rider NT, Ritchie JL, Roberts BL, Rubin DL, Santi L, Sathyan D, Schellman H, Schlesier C, Schreckenberger A, Semertzidis YK, Shatunov YM, Shemyakin D, Shenk M, Sim D, Smith MW, Smith A, Soha AK, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Strohman C, Stuttard T, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Thomson K, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Warren M, Weisskopf A, Welty-Rieger L, Whitley M, Winter P, Wolski A, Wormald M, Wu W, Yoshikawa C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm. Phys Rev Lett 2021; 126:141801. [PMID: 33891447 DOI: 10.1103/physrevlett.126.141801] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
We present the first results of the Fermilab National Accelerator Laboratory (FNAL) Muon g-2 Experiment for the positive muon magnetic anomaly a_{μ}≡(g_{μ}-2)/2. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency ω_{a} between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ω[over ˜]_{p}^{'} in a spherical water sample at 34.7 °C. The ratio ω_{a}/ω[over ˜]_{p}^{'}, together with known fundamental constants, determines a_{μ}(FNAL)=116 592 040(54)×10^{-11} (0.46 ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both μ^{+} and μ^{-}, the new experimental average of a_{μ}(Exp)=116 592 061(41)×10^{-11} (0.35 ppm) increases the tension between experiment and theory to 4.2 standard deviations.
Collapse
Affiliation(s)
- B Abi
- University of Oxford, Oxford, United Kingdom
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - S Al-Kilani
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - L P Alonzi
- University of Washington, Seattle, Washington, USA
| | | | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - F Azfar
- University of Oxford, Oxford, United Kingdom
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Basti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | | | - A Behnke
- Northern Illinois University, DeKalb, Illinois, USA
| | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | | | - H P Binney
- University of Washington, Seattle, Washington, USA
| | | | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - D Boyden
- Northern Illinois University, DeKalb, Illinois, USA
| | - G Cantatore
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Trieste, Trieste, Italy
| | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - J Carroll
- University of Liverpool, Liverpool, United Kingdom
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - S Ceravolo
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - S P Chang
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - J Choi
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Conway
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - G Corradi
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | - L Cotrozzi
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - J D Crnkovic
- Brookhaven National Laboratory, Upton, New York, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- University of Mississippi, University, Mississippi, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - P Di Meo
- INFN, Sezione di Napoli, Napoli, Italy
| | | | - R Di Stefano
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Driutti
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Udine, Udine, Italy
- University of Kentucky, Lexington, Kentucky, USA
| | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - N Eggert
- Cornell University, Ithaca, New York, USA
| | - A Epps
- Northern Illinois University, DeKalb, Illinois, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | - C Ferrari
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
- University of Washington, Seattle, Washington, USA
| | - A Fiedler
- Northern Illinois University, DeKalb, Illinois, USA
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | - A Fioretti
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Frlež
- University of Virginia, Charlottesville, Virginia, USA
| | - N S Froemming
- Northern Illinois University, DeKalb, Illinois, USA
- University of Washington, Seattle, Washington, USA
| | - J Fry
- University of Virginia, Charlottesville, Virginia, USA
| | - C Fu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - C Gabbanini
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M D Galati
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - D E Gastler
- Boston University, Boston, Massachusetts, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- INFN, Sezione di Pisa, Pisa, Italy
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | - P Girotti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - D Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - E Hazen
- Boston University, Boston, Massachusetts, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - S Henry
- University of Oxford, Oxford, United Kingdom
| | - A T Herrod
- University of Liverpool, Liverpool, United Kingdom
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - J L Holzbauer
- University of Mississippi, University, Mississippi, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - M Iacovacci
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | | | - C Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J A Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
- University of Rijeka, Rijeka, Croatia
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
- University of Washington, Seattle, Washington, USA
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - S C Kim
- Cornell University, Ithaca, New York, USA
| | - Y I Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B King
- University of Liverpool, Liverpool, United Kingdom
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | | | - I Kourbanis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - A Kuchibhotla
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - M J Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Leo
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - G Luo
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Lusiani
- INFN, Sezione di Pisa, Pisa, Italy
- Scuola Normale Superiore, Pisa, Italy
| | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | - F Marignetti
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | | | - S Maxfield
- University of Liverpool, Liverpool, United Kingdom
| | - M McEvoy
- Northern Illinois University, DeKalb, Illinois, USA
| | - W Merritt
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Motuk
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Nath
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | - D Newton
- University of Liverpool, Liverpool, United Kingdom
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Oberling
- Argonne National Laboratory, Lemont, Illinois, USA
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - J-F Ostiguy
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - G Pauletta
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - G M Piacentino
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università del Molise, Campobasso, Italy
| | - R N Pilato
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Popovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - N Raha
- INFN, Sezione di Pisa, Pisa, Italy
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - N T Rider
- Cornell University, Ithaca, New York, USA
| | - J L Ritchie
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - D Sathyan
- Boston University, Boston, Massachusetts, USA
| | - H Schellman
- Northwestern University, Evanston, Illinois, USA
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Schreckenberger
- Boston University, Boston, Massachusetts, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Y M Shatunov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Shenk
- Northern Illinois University, DeKalb, Illinois, USA
| | - D Sim
- University of Liverpool, Liverpool, United Kingdom
| | - M W Smith
- INFN, Sezione di Pisa, Pisa, Italy
- University of Washington, Seattle, Washington, USA
| | - A Smith
- University of Liverpool, Liverpool, United Kingdom
| | - A K Soha
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern-und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Strohman
- Cornell University, Ithaca, New York, USA
| | - T Stuttard
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Michigan State University, East Lansing, Michigan, USA
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | | | - K Thomson
- University of Liverpool, Liverpool, United Kingdom
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Lancaster University, Lancaster, United Kingdom
- Michigan State University, East Lansing, Michigan, USA
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Warren
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Whitley
- University of Liverpool, Liverpool, United Kingdom
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - A Wolski
- University of Liverpool, Liverpool, United Kingdom
| | - M Wormald
- University of Liverpool, Liverpool, United Kingdom
| | - W Wu
- University of Mississippi, University, Mississippi, USA
| | - C Yoshikawa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| |
Collapse
|
236
|
Zhang H, Yu J, Wei Z, Wu W, Zhang C, He Y. The Effect of Multidisciplinary Team Discussion Intervention on the Prognosis of Advanced Colorectal Cancer. J Cancer 2021; 12:3307-3314. [PMID: 33976740 PMCID: PMC8100813 DOI: 10.7150/jca.56171] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 03/20/2021] [Indexed: 12/09/2022] Open
Abstract
Purpose: The effects of multidisciplinary team discussion intervention on the treatment and prognosis of advanced colorectal cancer are still controversial. Large sample size studies to evaluate the efficacy in patients with advanced colorectal cancer are lacking. Materials and Methods: We statistically analyzed the data of surgical patients diagnosed with advanced colorectal cancer from 2008 to 2014 by retrospective analysis. Patients were divided into two groups according to whether or not they received multidisciplinary team discussion intervention. After at least 3 years of follow up, differences between two groups were compared with respect to treatment process and patient prognosis. Results: The time to treatment in intervention group was shorter (9.6 ± 4.2 days vs 10.7 ± 5.6 days; p= 0.002). There were no significant differences in recurrence and metastasis rate between the two groups. Multivariate survival analysis suggested that multidisciplinary team discussion intervention reduced the risk of death (HR = 0.677; p = 0.006). And it had significant interaction with tumor invasion and tumor stage, and especially had beneficial effects in the tumor stage IV subgroup (p=0.005) and tumor invasion T4 subgroup (p<0.001). Conclusion: Multidisciplinary team discussion intervention accelerated the treatment process and reduced the death risk of patients with advanced colorectal cancer, especially improved the overall survival of stage IV and invasion T4 patients. The clinical characteristics of tumor invasion and tumor stage must be the primary considerations when judging whether patients need to conduct multidisciplinary team discussions.
Collapse
Affiliation(s)
- Huaqi Zhang
- Digestive Disease Center, Seventh Affiliated Hospital of Sun Yat-Sen University
| | - Jishang Yu
- Gastrointestinal Surgery Center, First Affiliated Hospital of Sun Yat-Sen University
| | - Zhewei Wei
- Gastrointestinal Surgery Center, First Affiliated Hospital of Sun Yat-Sen University
| | - Wenhui Wu
- Digestive Disease Center, Seventh Affiliated Hospital of Sun Yat-Sen University
| | - Changhua Zhang
- Digestive Disease Center, Seventh Affiliated Hospital of Sun Yat-Sen University
| | - Yulong He
- Digestive Disease Center, Seventh Affiliated Hospital of Sun Yat-Sen University.,Gastrointestinal Surgery Center, First Affiliated Hospital of Sun Yat-Sen University
| |
Collapse
|
237
|
Hao T, Xu J, Fang S, Jiang J, Chen X, Wu W, Li L, Li M, Zhang C, He Y. Overexpression of ZNF460 predicts worse survival and promotes metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer. J Cancer 2021; 12:3198-3208. [PMID: 33976729 PMCID: PMC8100796 DOI: 10.7150/jca.55079] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 02/25/2021] [Indexed: 12/24/2022] Open
Abstract
Zinc finger proteins (ZNFs) are a class of protein containing zinc finger domains, and they play an important role in tumor progression. However, as a member of the ZNFs family, the effect of ZNF460 in colon cancer remains unclear. In this study, we found that the expression of ZNF460 protein were markedly increased in clinical colon cancer tissues compared with para-cancer non-cancerous tissues by tissue immunohistochemistry (IHC) and western blot (WB). We also confirmed this result at the mRNA and protein levels of ZNF460 through bioinformatics analysis. In addition, high expression of ZNF460 was correlated with increased depth of invasion (P<0.05), increased lymph node metastasis (P<0.05), distant metastasis (P<0.05) and high blood serum CA19-9 level (P<0.05). High expression of ZNF460 predicted poor overall survival (OS) and recurrence free survival (RFS) in patients with colon cancer. Moreover, multivariate analyses revealed that ZNF460 was an independent prognostic factor in both OS (hazard ratio [HR]: 1.636; 95% confidence interval [CI], 1.028-2.603; P = 0.038) and RFS (HR: 2.215; 95% CI: 1.227-3.997; P = 0.008). The knockdown of ZNF460 suppressed the invasion and metastasis of colon cancer cells in vitro. Mechanistically, we revealed that ZNF460 promotes the activation of the JAK2/STAT3 signaling pathway in colon cancer cells. Taken together, overexpression of ZNF460 predicted worse survival and promoted metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer, and could be a novel therapeutic target in colon cancer.
Collapse
Affiliation(s)
- Tengfei Hao
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.,Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510000, China
| | - Jiannan Xu
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.,Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510000, China
| | - Sufen Fang
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Jianlong Jiang
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Xinyuan Chen
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Wenhui Wu
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Liang Li
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Mingzhe Li
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Changhua Zhang
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yulong He
- Digestive Disease Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.,Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510000, China
| |
Collapse
|
238
|
Dong X, Yao S, Wu W, Cao J, Sun L, Li H, Ren H, Ren W. Gas explosion-induced acute blast lung injury assessment and biomarker identification by a LC-MS-based serum metabolomics analysis. Hum Exp Toxicol 2021; 40:608-621. [PMID: 32969285 DOI: 10.1177/0960327120960761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The objective of this study was to evaluate the histopathological effect of gas explosion on rats, and to explore the metabolic alterations associated with gas explosion-induced acute blast lung injury (ABLI) in real roadway environment using metabolomics analyses. All rats were exposed to the gas explosion source at different distance points (160 m and 240 m) except the control group. Respiratory function indexes were monitored and lung tissue analysis was performed to correlate histopathological effect to serum metabolomics. Their sera samples were collected to measure the metabolic alterations by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). HE staining in lung showed that the gas explosion caused obvious inflammatory pulmonary injury, which was consistent with respiratory function monitoring results and the serum metabolomics analysis results. The metabolomics identified 9 significantly metabolites different between the control- and ABLI rats. 2-aminoadipic acid, L-methionine, L-alanine, L-lysine, L-threonine, cholic acid and L-histidine were significantly increased in the exposed groups. Citric acid and aconitic acid were significantly decreased after exposure. Pathway analyses identified 8 perturbed metabolic pathways, which provided novel potential mechanisms for the gas explosion-induced ABLI. Therefore, metabolomics analysis identified both known and unknown alterations in circulating biomarkers, adding an integral mechanistic insight into the gas explosion-induced ABLI in real roadway environment.
Collapse
Affiliation(s)
- X Dong
- Department of Environmental and Occupational Health, School of Public Health, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| | - S Yao
- Department of Environmental and Occupational Health, School of Public Health, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| | - W Wu
- Department of Environmental and Occupational Health, School of Public Health, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| | - J Cao
- Institute of Toxicology, College of Preventive Medicine, 12525Third Military Medical University, Chongqing, China
| | - L Sun
- Institute of Toxicology, College of Preventive Medicine, 12525Third Military Medical University, Chongqing, China
| | - H Li
- Department of Environmental and Occupational Health, School of Public Health, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| | - H Ren
- Human Resources Department, Sanquan College, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| | - W Ren
- Institutes of Health Central Plains, 91593Xinxiang Medical University, Xinxiang, Henan Province, China
| |
Collapse
|
239
|
Wu W, Li Y, Fan F, Zhang K, Deng ZH. Research Progress on Individual Identification by Frontal Sinus Imaging. Fa Yi Xue Za Zhi 2021; 37:81-86. [PMID: 33780190 DOI: 10.12116/j.issn.1004-5619.2019.291211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Indexed: 11/30/2022]
Abstract
Abstract Frontal sinus imaging is an important research object in forensic individual identification due to the highly specific irregular air cavity shape of frontal sinus, the stability of its shape after maturity, and the wide clinical application of radiology technology. The use of frontal sinus imaging for individual identification has significance in the court. When the application of traditional individual identification methods such as fingerprint identification and DNA analysis are limited or cannot be effectively carried out, or when the corresponding dental records are lacking and in other special cases, individual identification with frontal sinus imaging comparison is an effective alternative. Various types of image data can be used for individual identification with frontal sinus, mainly based on artificial visual comparing. With limitations such as, high professional requirements, low efficiency and small application range, the methods cannot be used in mass disasters. In recent years, some computer image recognition techniques have been used in identification of frontal sinus imagings and can significantly improve the efficiency of recognition. Difficulties such as low manual recognition efficiency may be overcomed. This study summarizes the reports on forensic individual identification using frontal sinus imaging, to review the research progress on individual identification with frontal sinus imaging, to provide a reference for further research on frontal sinus imaging, and to provide ideas for exploration and establishment of a faster, more efficient and more accurate individual identification system.
Collapse
Affiliation(s)
- W Wu
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Y Li
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - F Fan
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - K Zhang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Z H Deng
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| |
Collapse
|
240
|
Bian G, Yang J, Elango J, Wu W, Bao B, Bao C. Natural Triterpenoids Isolated from Akebia trifoliata Stem Explants Exert a Hypoglycemic Effect via α-Glucosidase Inhibition and Glucose Uptake Stimulation in Insulin-Resistant HepG2 Cells. Chem Biodivers 2021; 18:e2001030. [PMID: 33779055 DOI: 10.1002/cbdv.202001030] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/25/2021] [Indexed: 12/26/2022]
Abstract
The inhibition of α-glucosidase activity is a prospective approach to attenuate postprandial hyperglycemia in the treatment of type 2 diabetes mellitus (T2DM). Herein, the inhibition of α-glucosidase by three compounds T1 -T3 of Akebia trifoliata stem, namely hederagenin (T1 ), 3-epiakebonoic acid (T2 ), and arjunolic acid (T3 ) were investigated using enzyme kinetics and molecular docking analysis. The three triterpenoids exhibited excellent inhibitory activities against α-glucosidase. T1 -T3 showed the strongest inhibition with IC50 values of 42.1±5.4, 19.6±3.2, and 11.2±2.3 μM, respectively, compared to the acarbose positive control (IC50 =106.3±8.2). Enzyme inhibition kinetics showed that triterpenoids T1 -T3 demonstrated competitive, mixed, and noncompetitive-type inhibition against α-glucosidase, respectively. The inhibition constant (Ki ) values were 21.21, 7.70, and 3.18 μM, respectively. Docking analysis determined that the interaction of ligands T1 -T3 and α-glucosidase was mainly forced by hydrogen bonds and hydrophobic interactions, which could result in improved binding to the active site of the target enzyme. The insulin resistant (IR)-HepG2 cell model used in this study (HepG2 cells exposed to 10-7 M insulin for 24 h) and glucose uptake assays showed that compounds T1 -T3 had no cytotoxicity with concentrations ranging from 6.25 to 25 μM and displayed significant stimulation of glucose uptake in IR-HepG2 cells. Thus, triterpenoids T1 -T3 showed dual therapeutic effects of α-glucosidase inhibition and glucose uptake stimulation and could be used as potential medicinal resources to investigate new antidiabetic agents for the prevention or treatment of diabetes.
Collapse
Affiliation(s)
- Guoyong Bian
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, P. R. China
| | - Jinbo Yang
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, P. R. China
| | - Jeevithan Elango
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, P. R. China
| | - Wenhui Wu
- Department of Marine Bio-Pharmacology, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, P. R. China.,National R&D Branch Center for Freshwater Aquatic Products Processing Technology, Shanghai, 201306, P. R. China
| | - Bin Bao
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology, Shanghai, 201306, P. R. China
| | - Chunling Bao
- Shanghai Sixth People's Hospital East Campus, Shanghai, 201306, P. R. China
| |
Collapse
|
241
|
Hong C, Yang S, Wang Q, Zhang S, Wu W, Chen J, Zhong D, Li M, Li L, Li J, Yu H, Chen H, Zeng Q, Zhang C. Epigenetic Age Acceleration of Stomach Adenocarcinoma Associated With Tumor Stemness Features, Immunoactivation, and Favorable Prognosis. Front Genet 2021; 12:563051. [PMID: 33815458 PMCID: PMC8012546 DOI: 10.3389/fgene.2021.563051] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 02/22/2021] [Indexed: 12/20/2022] Open
Abstract
Background: Abnormal DNA methylation (DNAm) age has been assumed to be an indicator for canceration and all-cause mortality. However, associations between DNAm age and molecular features of stomach adenocarcinoma (STAD), and its prognosis have not been systematically studied. Method: We calculated the DNAm age of 591 STAD samples and 115 normal stomach samples from The Cancer Genome Atlas (TCGA) and gene expression omnibus (GEO) database using the Horvath’s clock model. Meanwhile, we utilized survival analysis to evaluate the prognostic value of DNAm age and epigenetic age acceleration shift. In addition, we performed weighted gene co-expression network analysis (WGCNA) to identify DNAm age-associated gene modules and pathways. Finally, the association between DNAm age and molecular features was performed by correlation analysis. Results: DNA methylation age was significantly correlated with chronological age in normal gastric tissues (r = 0.85, p < 0.0001), but it was not associated with chronological age in STAD samples (r = 0.060, p = 0.2369). Compared with tumor adjacent normal tissue, the DNAm age of STAD tissues was significantly decreased. Meanwhile, chronological age in STAD samples was higher than its DNAm age. Both DNAm age and epigenetic acceleration shift were associated with the prognosis of STAD patients. By using correlation analysis, we also found that DNAm age was associated with immunoactivation and stemness in STAD samples. Conclusion: In summary, epigenetic age acceleration of STAD was associated with tumor stemness, immunoactivation, and favorable prognosis.
Collapse
Affiliation(s)
- Chunhong Hong
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Shaohua Yang
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Qiaojin Wang
- Department of Surgical Intensive Care Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shiqiang Zhang
- Department of Urology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wenhui Wu
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinyao Chen
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Danhui Zhong
- Department of Physiotherapy, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Mingzhe Li
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Liang Li
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jianfeng Li
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Hong Yu
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Hong Chen
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Qianlin Zeng
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Changhua Zhang
- Center of Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
242
|
Bommi PV, Bowen CM, Reyes-Uribe L, Wu W, Katayama H, Rocha P, Parra ER, Francisco-Cruz A, Ozcan Z, Tosti E, Willis JA, Wu H, Taggart MW, Burks JK, Lynch PM, Edelmann W, Scheet PA, Wistuba II, Sinha KM, Hanash SM, Vilar E. The Transcriptomic Landscape of Mismatch Repair-Deficient Intestinal Stem Cells. Cancer Res 2021; 81:2760-2773. [PMID: 34003775 DOI: 10.1158/0008-5472.can-20-2896] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 02/16/2021] [Accepted: 03/15/2021] [Indexed: 12/19/2022]
Abstract
Lynch syndrome is the most common cause of hereditary colorectal cancer and is secondary to germline alterations in one of four DNA mismatch repair (MMR) genes. Here we aimed to provide novel insights into the initiation of MMR-deficient (MMRd) colorectal carcinogenesis by characterizing the expression profile of MMRd intestinal stem cells (ISC). A tissue-specific MMRd mouse model (Villin-Cre;Msh2 LoxP/LoxP ) was crossed with a reporter mouse (Lgr5-EGFP-IRES-creERT2) to trace and isolate ISCs (Lgr5+) using flow cytometry. Three different ISC genotypes (Msh2-KO, Msh2-HET, and Msh2-WT) were isolated and processed for mRNA-seq and mass spectrometry, followed by bioinformatic analyses to identify expression signatures of complete MMRd and haplo-insufficiency. These findings were validated using qRT-PCR, IHC, and whole transcriptomic sequencing in mouse tissues, organoids, and a cohort of human samples, including normal colorectal mucosa, premalignant lesions, and early-stage colorectal cancers from patients with Lynch syndrome and patients with familial adenomatous polyposis (FAP) as controls. Msh2-KO ISCs clustered together with differentiated intestinal epithelial cells from all genotypes. Gene-set enrichment analysis indicated inhibition of replication, cell-cycle progression, and the Wnt pathway and activation of epithelial signaling and immune reaction. An expression signature derived from MMRd ISCs successfully distinguished MMRd neoplastic lesions of patients with Lynch syndrome from FAP controls. SPP1 was specifically upregulated in MMRd ISCs and colocalized with LGR5 in Lynch syndrome colorectal premalignant lesions and tumors. These results show that expression signatures of MMRd ISC recapitulate the initial steps of Lynch syndrome carcinogenesis and have the potential to unveil novel biomarkers of early cancer initiation. SIGNIFICANCE: The transcriptomic and proteomic profile of MMR-deficient intestinal stem cells displays a unique set of genes with potential roles as biomarkers of cancer initiation and early progression.
Collapse
Affiliation(s)
- Prashant V Bommi
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Charles M Bowen
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Laura Reyes-Uribe
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wenhui Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hiroyuki Katayama
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Pedro Rocha
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alejandro Francisco-Cruz
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zuhal Ozcan
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Elena Tosti
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York
| | - Jason A Willis
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hong Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Melissa W Taggart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jared K Burks
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Patrick M Lynch
- Department of Gastroenterology, Hepatology, and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Winfried Edelmann
- Department of Cell Biology, Albert Einstein College of Medicine, Bronx, New York
| | - Paul A Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Krishna M Sinha
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Samir M Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas. .,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas
| |
Collapse
|
243
|
Li J, Zhou W, Wei J, Xiao X, An T, Wu W, He Y. Prognostic Value and Biological Functions of RNA Binding Proteins in Stomach Adenocarcinoma. Onco Targets Ther 2021; 14:1689-1705. [PMID: 33707953 PMCID: PMC7942957 DOI: 10.2147/ott.s297973] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/19/2021] [Indexed: 12/18/2022] Open
Abstract
Purpose To investigate the prognostic value and biological function of RNA binding proteins (RBPs) in stomach adenocarcinoma (STAD). Materials and Methods Datasets of the differentially expressed genes (DEGs) were downloaded from the TCGA-based (The Cancer Genome Atlas) GEPIA database, from which the differentially expressed RBPs were determined. Functions and prognostic values of these determined RBPs were systematically investigated by a series of methods in bioinformatics analysis. In addition, transwell assays were performed to explore the effect of PTBP1 in STAD cells. Results Three hundred and sixty-two differentially expressed RBPs were determined, with 331 up-regulated and 31 down-regulated. Seven RBPs (PTBP1, PPIH, SMAD5, MSI2, RBM15, MRPS17, and ADAT3) were identified to be prognosis-related and adopted to construct a prognostic model. Compared with low-risk patients in TCGA training cohort, TCGA testing cohort and GEO cohort, high-risk patients had poorer overall survival (OS). The area under the ROC curves of this prognostic model were 0.804, 0.644 and 0.581 for TCGA training cohort, TCGA testing cohort and GEO cohort, respectively, justifying itself as a good prognostic model with reliable predictive ability. Using the seven identified RBPs, we then constructed a nomogram to generate a clinical utility model. The regulatory networks and functions of the seven RBPs were then investigated, the results of which demonstrated that MRPS17 and PTBP1 reduced the number of infiltrated immune cells. In-vitro experiments showed that the downregulation of PTBP1 weakened the migration and invasion capability of AGS and HGC27 cells. Conclusion The seven-gene signature can be used as a reliable STAD prognostic biomarker, and these findings help us better understand the prognostic roles and functions of RBPs in STAD.
Collapse
Affiliation(s)
- Junqing Li
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China
| | - Wenjie Zhou
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China
| | - Jitao Wei
- Scientific Research Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China
| | - Xing Xiao
- Scientific Research Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China
| | - Tailai An
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China
| | - Wenhui Wu
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China
| | - Yulong He
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518000, People's Republic of China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China
| |
Collapse
|
244
|
Reyes-Uribe L, Wu W, Gelincik O, Bommi PV, Francisco-Cruz A, Solis LM, Lynch PM, Lim R, Stoffel EM, Kanth P, Samadder NJ, Mork ME, Taggart MW, Milne GL, Marnett LJ, Vornik L, Liu DD, Revuelta M, Chang K, You YN, Kopelovich L, Wistuba II, Lee JJ, Sei S, Shoemaker RH, Szabo E, Richmond E, Umar A, Perloff M, Brown PH, Lipkin SM, Vilar E. Naproxen chemoprevention promotes immune activation in Lynch syndrome colorectal mucosa. Gut 2021; 70:555-566. [PMID: 32641470 PMCID: PMC7790993 DOI: 10.1136/gutjnl-2020-320946] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 06/05/2020] [Accepted: 06/06/2020] [Indexed: 01/13/2023]
Abstract
OBJECTIVE Patients with Lynch syndrome (LS) are at markedly increased risk for colorectal cancer. It is being increasingly recognised that the immune system plays an essential role in LS tumour development, thus making an ideal target for cancer prevention. Our objective was to evaluate the safety, assess the activity and discover novel molecular pathways involved in the activity of naproxen as primary and secondary chemoprevention in patients with LS. DESIGN We conducted a Phase Ib, placebo-controlled, randomised clinical trial of two dose levels of naproxen sodium (440 and 220 mg) administered daily for 6 months to 80 participants with LS, and a co-clinical trial using a genetically engineered mouse model of LS and patient-derived organoids (PDOs). RESULTS Overall, the total number of adverse events was not different across treatment arms with excellent tolerance of the intervention. The level of prostaglandin E2 in the colorectal mucosa was significantly decreased after treatment with naproxen when compared with placebo. Naproxen activated different resident immune cell types without any increase in lymphoid cellularity, and changed the expression patterns of the intestinal crypt towards epithelial differentiation and stem cell regulation. Naproxen demonstrated robust chemopreventive activity in a mouse co-clinical trial and gene expression profiles induced by naproxen in humans showed perfect discrimination of mice specimens with LS and PDOs treated with naproxen and control. CONCLUSIONS Naproxen is a promising strategy for immune interception in LS. We have discovered naproxen-induced gene expression profiles for their potential use as predictive biomarkers of drug activity. TRIAL REGISTRATION NUMBER gov Identifier: NCT02052908.
Collapse
Affiliation(s)
- Laura Reyes-Uribe
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Wenhui Wu
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Prashant V Bommi
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Alejandro Francisco-Cruz
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Patrick M Lynch
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA,Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ramona Lim
- Department of Gastroenterology, Dana Farber Cancer Institute/Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Elena M Stoffel
- Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Priyanka Kanth
- Division of Gastroenterology, Department of Medicine, University of Utah/Huntsman Cancer Institute, Salt Lake City, Utah, USA
| | - N Jewel Samadder
- Department of Gastroenterology and Hepatology, Mayo Clinic Arizona, Scottsdale, Arizona, USA
| | - Maureen E Mork
- Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Melissa W Taggart
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ginger L Milne
- Departments of Biochemistry, Medicine and Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Lawrence J Marnett
- Departments of Biochemistry, Medicine and Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Lana Vornik
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Diane D Liu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Kyle Chang
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Y Nancy You
- Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA,Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shizuko Sei
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Robert H Shoemaker
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Eva Szabo
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Ellen Richmond
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Asad Umar
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Marjorie Perloff
- Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, USA
| | - Powel H Brown
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA .,Clinical Cancer Genetics Program, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
245
|
Zhou W, Li J, Lu X, Liu F, An T, Xiao X, Kuo ZC, Wu W, He Y. Derivation and Validation of a Prognostic Model for Cancer Dependency Genes Based on CRISPR-Cas9 in Gastric Adenocarcinoma. Front Oncol 2021; 11:617289. [PMID: 33732644 PMCID: PMC7959733 DOI: 10.3389/fonc.2021.617289] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 01/06/2021] [Indexed: 12/12/2022] Open
Abstract
As a CRISPR-Cas9-based tool to help scientists to investigate gene functions, Cancer Dependency Map genes (CDMs) include an enormous series of loss-of-function screens based on genome-scale RNAi. These genes participate in regulating survival and growth of tumor cells, which suggests their potential as novel therapeutic targets for malignant tumors. By far, studies on the roles of CDMs in gastric adenocarcinoma (GA) are scarce and only a small fraction of CDMs have been investigated. In the present study, datasets of the differentially expressed genes (DEGs) were extracted from the TCGA-based (The Cancer Genome Atlas) GEPIA database, from which differentially expressed CDMs were determined. Functions and prognostic significance of these verified CDMs were evaluated using a series of bioinformatics methods. In all, 246 differentially expressed CDMs were determined, with 147 upregulated and 99 downregulated. Ten CDMs (ALG8, ATRIP, CCT6A, CFDP1, CINP, MED18, METTL1, ORC1, TANGO6, and PWP2) were identified to be prognosis-related and subsequently a prognosis model based on these ten CDMs was constructed. In comparison with that of patients with low risk in TCGA training, testing and GSE84437 cohort, overall survival (OS) of patients with high risk was significantly worse. It was then subsequently demonstrated that for this prognostic model, area under the ROC (receiver operating characteristic) curve was 0.771 and 0.697 for TCGA training and testing cohort respectively, justifying its reliability in predicting survival of GA patients. With the ten identified CDMs, we then constructed a nomogram to generate a clinically practical model. The regulatory networks and functions of the ten CDMs were then explored, the results of which demonstrated that as the gene significantly associated with survival of GA patients and Hazard ratio (HR), PWP2 promoted in-vitro invasion and migration of GA cell lines through the EMT signaling pathway. Therefore, in conclusion, the present study might help understand the prognostic significance and molecular functions of CDMs in GA.
Collapse
Affiliation(s)
- Wenjie Zhou
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Junqing Li
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xiaofang Lu
- Department of Pathology, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Fangjie Liu
- Department of Hematology, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Tailai An
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xing Xiao
- Scientific Research Centre, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zi Chong Kuo
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wenhui Wu
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yulong He
- Digestive Disease Center, Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.,Department of Gastrointestinal Surgery, First Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
246
|
Evans TE, Wu W, Canal GP, Ferraro NM. Observations of heteroclinic bifurcations in resistive magnetohydrodynamic simulations of the plasma response to resonant magnetic perturbations. Phys Rev E 2021; 103:013209. [PMID: 33601549 DOI: 10.1103/physreve.103.013209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 11/05/2020] [Indexed: 11/07/2022]
Abstract
A class of topological magnetic island bifurcations that has not previously been observed in toroidal plasmas is described. Increasing an externally applied three-dimensional magnetic field in resistive magnetohydrodynamic simulations results in the asymmetric elongation of resonant island flux surfaces followed by a sequence of heteroclinic bifurcations. These bifurcations produce new sets of hyperbolic-elliptic fixed points as predicted by the Poincaré-Birkoff fixed point theorem. Field line calculations verify that the new fixed points do not connect to those of the prebifurcated islands as required for heteroclinic bifurcations on a torus with winding numbers composed of common integer factors.
Collapse
Affiliation(s)
- T E Evans
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - W Wu
- General Atomics, P.O. Box 85608, San Diego, California 92186-5608, USA
| | - G P Canal
- Department of Applied Physics, Sao Paulo University, Sao Paulo, CEP 05508-090, Brazil
| | - N M Ferraro
- Princeton Plasma Physics Laboratory, PO Box 451, Princeton, New Jersey 08543-0451, USA
| |
Collapse
|
247
|
Vanden Broeke L, Grillon M, Yeung AWK, Wu W, Tanaka R, Vardhanabhuti V. Feasibility of photon-counting spectral CT in dental applications-a comparative qualitative analysis. BDJ Open 2021; 7:4. [PMID: 33504760 PMCID: PMC7840988 DOI: 10.1038/s41405-021-00060-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 12/01/2020] [Accepted: 12/06/2020] [Indexed: 12/03/2022] Open
Abstract
PURPOSE The goal of this study was to demonstrate the feasibility of using photon-counting spectral CT for dental applications. This paper qualitatively analyzes the visibility of accessory canals (ACs) and metal artefacts from dental implants for cone-beam CT (CBCT), microtomography (microCT), and photon-counting spectral CT (PCSCT). MATERIALS AND METHODS All of the teeth in this study were extracted, and eight teeth in total were scanned on a CBCT scanner, a microCT scanner and on a PCSCT scanner. Six of the teeth that were scanned have accessory canals, one has a titanium rod attached to it, and one has a gutta-percha point inside it. Qualitative analysis was done to compare the different imaging modalities. RESULTS The subjective image analysis demonstrated similar performance in AC detection and visualisation for PCSCT and CBCT (p value >0.05). Both PCSCT and microCT performed similarly for metal artefact reduction, and both were superior to CBCT (p value <0.05). CONCLUSION Although microCT provides detailed information about small anatomical structures, it is not suitable for in vivo use. However, the PCSCT scanner was able to detect small anatomical structures in teeth comparable to CBCT, as well as being superior in reducing metal artefacts from dental implants. This study showed that PCSCT is a promising modality for future dentistry applications.
Collapse
Affiliation(s)
- L Vanden Broeke
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - M Grillon
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China
| | - A W K Yeung
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China
| | - W Wu
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China
| | - R Tanaka
- Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, University of Hong Kong, Hong Kong SAR, China
| | - V Vardhanabhuti
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
| |
Collapse
|
248
|
Li H, Zhang M, Li H, Yu H, Chen S, Wu W, Sun P. Discovery of Venturicidin Congeners and Identification of the Biosynthetic Gene Cluster from Streptomyces sp. NRRL S-4. J Nat Prod 2021; 84:110-119. [PMID: 33356258 DOI: 10.1021/acs.jnatprod.0c01177] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Chemical screening of Streptomyces sp. NRRL S-4 with liquid chromatography-mass spectrometry (LC-MS) and the following chromatographic isolation led to the discovery of four 20-membered macrolides, venturicidin A (4) and three new congeners venturicidins D-F (1-3). Genome sequencing of strain S-4 revealed the presence of a biosynthetic gene cluster (BGC) encoding glycosylated type I polyketides (PKS). The BGC designated to venturicidin biosynthesis (ven) was supported by the proposed biosynthetic pathway and confirmed by inactivation of the core PKS gene of venK. Bioinformatic analyses on the conserved motifs and known stereospecificities in PKS modules are consistent with the structure and absolute configuration. This is the first report of venturicidin BGC since the discovery of the macrolide in 1961. In the biological assays, venturicidin A (4) and E (2) displayed a high selective cytotoxicity against acute monocytic leukemia MV-4-11 cells with IC50 values of 0.09 and 0.94 μM, respectively. Venturicidin A (4) also showed a weak inhibitory activity on FMS-like-tyrosine kinase.
Collapse
Affiliation(s)
- Huanhuan Li
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
- College of Food Science and Technology, Shanghai Ocean University, 999 Huchenghuan Road, Shanghai 201306, People's Republic of China
| | - Mengxue Zhang
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
- College of Food Science and Technology, Shanghai Ocean University, 999 Huchenghuan Road, Shanghai 201306, People's Republic of China
| | - Hongji Li
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
| | - Hai Yu
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
| | - Shuo Chen
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
- College of Food Science and Technology, Shanghai Ocean University, 999 Huchenghuan Road, Shanghai 201306, People's Republic of China
| | - Wenhui Wu
- College of Food Science and Technology, Shanghai Ocean University, 999 Huchenghuan Road, Shanghai 201306, People's Republic of China
| | - Peng Sun
- School of Pharmacy, Second Military Medical University, 325 Guo-He Road, Shanghai 200433, People's Republic of China
| |
Collapse
|
249
|
Golubev K, Zhang K, Su X, Kolesnichenko N, Wu W. Dimethyl ether aromatization over nanosized zeolites: Effect of preparation method and zinc modification on catalyst performance. CATAL COMMUN 2021. [DOI: 10.1016/j.catcom.2020.106176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
|
250
|
Wei T, Jia Y, Xue W, Ma M, Wu W. Nutritional Effects of the Enteral Nutritional Formula on Regulation of Gut Microbiota and Metabolic Level in Type 2 Diabetes Mellitus Mice. Diabetes Metab Syndr Obes 2021; 14:1855-1869. [PMID: 33953585 PMCID: PMC8089093 DOI: 10.2147/dmso.s301454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 03/26/2021] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Due to the adverse effects of antidiabetic drugs, nowadays, nutraceuticals have been of much interest to investigators. Therefore, the present study aimed to explore the potential effects of enteral nutritional (EN) formulas on the gut microbiota and metabolic regulation of type 2 diabetes mellitus (T2DM) mice and compare the differences between whey protein and soy protein. METHODS EN formulas made of whey protein or soy protein were administered for five weeks and then mice tissue samples were obtained to examine the metabolic parameters and histopathology of the pancreas, liver, jejunum and colon. 16S rRNA V3-V4 region gene sequencing was used to analyze the changes in the gut microbiota. RESULTS After the five-week intervention, the alpha diversity had recovered slightly, and the soy protein group (SPG) achieved a better effect than the whey protein group (LPG). The overall composition of gut microbiota was regulated. The abundance of Bacteroidetes and TM7 had raised significantly and the abundance of Firmicutes and Deferribacteres had declined after treatment, with no significant difference between the LPG and SPG. The types of beneficial bacteria were increased at the genus and species level. The level of hexokinase (HK) and pyruvate kinase (PK) had significantly recovered and inhibited the level of α-glucosidase. In addition, the EN formulas treatment reduced the levels of inflammatory factor (TNF-α) in liver and muscle. The level of glucose transporter type 2 (GLUT-2) levels in the liver and intestine also significantly increased. Moreover, the metabolism regulation of the SPG was better than that of the LPG. The EN formulas treatment improved the pancreas, liver, jejunum and colon histology. CONCLUSION The EN formulas regulated the overall structure of the gut microbiota and improved the metabolic level in streptozotocin/high-fat diet (STZ/HFD) diabetic mice. Therefore, EN formula may potentially become an effective nutritional adjunctive therapy for T2DM.
Collapse
Affiliation(s)
- Ting Wei
- College of Food Science and Engineering, Shanghai Ocean University, Shanghai, 201306, People’s Republic of China
| | - Ye Jia
- College of Food Science and Engineering, Shanghai Ocean University, Shanghai, 201306, People’s Republic of China
| | - Wei Xue
- College of Food Science and Engineering, Shanghai Ocean University, Shanghai, 201306, People’s Republic of China
| | - Ming Ma
- College of Food Science and Engineering, Shanghai Ocean University, Shanghai, 201306, People’s Republic of China
- Correspondence: Ming Ma; Wenhui Wu College of Food Science and Engineering, Shanghai Ocean University, No. 999, Huchenghuan Road, Nanhui New City, Shanghai, 201306, People’s Republic of ChinaTel +86-21-61900296 Email ;
| | - Wenhui Wu
- College of Food Science and Engineering, Shanghai Ocean University, Shanghai, 201306, People’s Republic of China
| |
Collapse
|