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1. Portal Venous and Hepatic Arterial Coefficients Predict Post-Hepatectomy Overall and Recurrence-Free Survival in Patients with Hepatocellular Carcinoma: A Retrospective Study

Author

Li YK, Wu S, Wu YS, Zhang WH, Wang Y, Li YH, Kang Q, Huang SQ, Zheng K, Jiang GM, Wang QB, Liang YB, Li J, Lakang Y, Yang C, Wang JP, Kui X, and Ke Y

Subjects
blood supply, computed tomography, hepatectomy, hepatocellular carcinoma, recurrence, survival., Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Yu-Kai Li,1,* Song Wu,2,* Yu-Shan Wu,3,* Wei-Hu Zhang,4,* Yan Wang,5,* Yue-Hua Li,1,* Qiang Kang,1,* Song-Quan Huang,1,* Kai Zheng,1 Gai-Ming Jiang,1 Qing-Bo Wang,1 Yu-Bo Liang,1 Jin Li,1 Yawhan Lakang,1 Chen Yang,1 Jing Li,1 Jia-Ping Wang,4 Xiang Kui,5 Yang Ke1,6,7 1Department of Hepato-Biliary-Pancreatic, the Second Affiliated Hospital, Kunming Medical University, Kunming, YN, 650101, People’s Republic of China; 2Preventive Medicine Division, School of Life Science, Anhui University of Chinese Medicine, Hefei, AH, 230012, People’s Republic of China; 3The Second Clinical Medical College, Kunming Medical University, Kunming, YN, 650101, People’s Republic of China; 4Department of Radiology, the Second Affiliated Hospital, Kunming Medical University, Kunming, YN, 650101, People’s Republic of China; 5Department of Pathology, the Second Affiliated Hospital, Kunming Medical University, Kunming, YN, 650101, People’s Republic of China; 6Department of Surgical Education and Research, the Second Affiliated Hospital, Kunming Medical University, Kunming, YN, 650101, People’s Republic of China; 7Yunnan Yunke Bio-Technology Institution, Kunming, YN, 650201, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiang Kui, Department of Pathology, the Second Affiliated Hospital, Kunming Medical University, No. 374 Kunrui Road, Wuhua District, Kunming, YN, 650101, People’s Republic of China, Tel +8613708729335, Email kuixiang@foxmail.com Yang Ke, Department of Hepato-Biliary-Pancreatic, the Second Affiliated Hospital, Kunming Medical University, No. 374 Kunrui Road, Wuhua District, Kunming, YN, 650101, People’s Republic of China, Tel +8615808875159, Email keyang1218@126.comBackground: The dominant artery blood supply is a characteristic of hepatocellular carcinoma (HCC). However, it is not known whether the blood supply can predict the post-hepatectomy prognosis of patients with HCC. This retrospective study investigated the prognostic value of the portal venous and arterial blood supply estimated on triphasic liver CT (as a portal venous coefficient, PVC, and hepatic arterial coefficient, HAC, respectively) in patients with HCC following hepatectomy.Methods: HCC patients who were tested by triphasic liver CT 2 weeks before hepatectomy and received R0 hepatectomy at the Second Affiliated Hospital, Kunming Medical University between January 1, 2016 and December 31, 2020, were retrospectively screened. Their PVC and HAC, and other variables were analyzed for the prediction of overall survival (OS) and recurrence-free survival (RFS) using the least absolute shrinkage and selection operator and Cox proportional hazard regression models.Results: Four hundred and nineteen patients (53.2 ± 10.6 years of age and 370 men) were evaluated. A shorter OS was independently associated with higher blood albumin and total bilirubin grade [hazard ratio (HR) 2.020, 95% confidence interval (CI) 1.534– 2.660], higher Barcelona Clinic Liver Cancer (BCLC) stage (HR 1.514, 95% CI 1.290– 1.777), PVC ≤ 0.386 (HR 1.628, 95% CI 1.149– 2.305), and HAC > 0.029 (HR 1.969, 95% CI 1.380– 2.809). A shorter RFS was independently associated with male (HR 1.652, 95% CI 1.005– 2.716), higher serum α-fetoprotein ≥ 400 ng/mL (HR 1.672, 95% CI 1.236– 2.263), higher BCLC stage (HR 1.516, 95% CI 1.300– 1.768), tumor PVC ≤ 0.386 (HR 1.641, 95% CI 1.198– 2.249), and tumor HAC > 0.029 (HR 1.455, 95% CI 1.060– 1.997).Conclusion: Tumor PVC or HAC before hepatectomy is valuable for independently predicting postoperative survival of HCC patients. Keywords: blood supply, computed tomography, hepatectomy, hepatocellular carcinoma, recurrence, survival

Published
2024

2. Identification of a Prognostic Index Based on a Metabolic-Genomic Landscape Analysis of Hepatocellular Carcinoma (HCC)

Author

Yang X, Liu Q, Zou J, Li YK, and Xie X

Subjects
bioinformatical analysis, hepatocellular carcinoma, metabolic-genomic landscape, the cancer genome atlas, prognostic index, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Xin Yang,1 Qiong Liu,1 Juan Zou,2 Yu-kun Li,2 Xia Xie1 1Department of Infectious Diseases, The First Affiliated Hospital of University of South China, Heng Yang, Hunan, 421000, People’s Republic of China; 2Key Laboratory of Tumor Cellular and Molecular Pathology, College of Hunan Province, Cancer Research Institute, University of South China, Hengyang, Hunan, 421001, People’s Republic of ChinaCorrespondence: Xia XieDepartment of Infectious Diseases, The First Affiliated Hospital of University of South China, Heng Yang, Hunan, 421000, People’s Republic of ChinaEmail xiaixe123123@163.comBackground: Metabolic disorders have attracted increasing attention from scientists who conduct research on various tumours, especially hepatocellular carcinoma (HCC). The purpose of this study was to assess the prognostic significance of metabolism in HCC.Methods: The expression profiles of metabolism-related genes (MRGs) of 349 surviving HCC patients were extracted from The Cancer Genome Atlas (TCGA) database. Subsequently, a series of biomedical computational algorithms were used to identify a seven-MRG signature as a prognostic model. GSEA indicated the function and pathway enrichment of these MRGs. Then, drug sensitivity analysis was used to identify the hub gene, which was tested using IHC staining.Results: A total of 420 differential MRGs and 116 differentially expressed transcription factors (TFs) were identified in HCC patients based on data from the TCGA database. The GO and KEGG enrichment analyses indicated that metabolic disturbance might be involved in the development of HCC. LASSO regression analysis was used to construct a seven-MRG signature (DHDH, ENO1, G6PD, LPCAT1, PDE6D, PIGU and PPAT) that could predict the prognosis of HCC patients. GSEA revealed the functional and pathway enrichment of these seven MRGs. Then, drug sensitivity analysis indicated that G6PD might play a key role in the prognosis of HCC by promoting chemoresistance. Finally, we used IHC staining to demonstrate the relationship between G6PD expression levels and clinical parameters in HCC patients.Conclusion: The results of this study provide a potential method for predicting the prognosis of HCC patients and avenues for further studies of HCC metabolism. Moreover, the function of G6PD may play a key role in the development and progression of HCC.Keywords: bioinformatical analysis, hepatocellular carcinoma, metabolic-genomic landscape, The Cancer Genome Atlas, prognostic index

Published
2021

3. Celastrol inhibits prostaglandin E2-induced proliferation and osteogenic differentiation of fibroblasts isolated from ankylosing spondylitis hip tissues in vitro

Author

Zou YC, Yang XW, Yuan SG, Zhang P, and Li YK

Subjects
Ankylosing Spondylitis, Celastrol, Osteogenesis, Therapeutics. Pharmacology, RM1-950
Abstract

Yu-Cong Zou,1,* Xian-Wen Yang,2,* Shi-Guo Yuan,1 Pei Zhang,1 Yi-Kai Li11School of Traditional Chinese Medicine, Southern Medical University, 2The Third Affiliated Hospital, Guangzhou University of Traditional Chinese Medicine, Guang Zhou, People’s Republic of China*These authors contributed equally to this workBackground: Heterotopic ossification on the enthesis, which develops after subsequent inflammation, is one of the most distinctive features in ankylosing spondylitis (AS). Prostaglandin E2 (PGE-2) serves as a key mediator of inflammation and bone remodeling in AS. Celastrol, a well-known Chinese medicinal herb isolated from Tripterygium wilfordii, is widely used in treating inflammatory diseases, including AS. It has been proven that it can inhibit lipopolysaccharide-induced expression of various inflammation mediators, such as PGE-2. However, the mechanism by which celastrol inhibits inflammation-induced bone forming in AS is unclear.Objective: To investigate whether celastrol could inhibit isolated AS fibroblast osteogenesis induced by PGE-2.Methods: Hip synovial tissues were obtained from six AS patients undergoing total hip replacement in our hospital. Fibroblasts were isolated, primarily cultured, and then treated with PGE-2 for osteogenic induction. Different doses of celastrol and indometacin were added to observe their effects on osteogenic differentiation. Cell proliferation, osteogenic markers, alizarin red staining as well as the activity of alkaline phosphatase were examined in our study.Results: Celastrol significantly inhibits cell proliferation of isolated AS fibroblasts and in vitro osteogenic differentiation compared with control groups in a time- and dose-dependent manner.Conclusion: Our results demonstrated that celastrol could inhibit isolated AS fibroblast proliferation and in vitro osteogenic differentiation. The interaction of PI3K/AKT signaling and Wnt protein may be involved in the process. Further studies should be performed in vivo and animal models to identify the potential effect of celastrol on the bone metabolism of AS patients. Keywords: ankylosing spondylitis, celastrol, osteogenesis, fibroblasts, proliferation, prostaglandin E2

Published
2016

10. Limits on anomalous WW gamma couplings from p(p)over-bar->W gamma+X events at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Baarmand, MM, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Bartlett, JF, Bazizi, K, Belyaev, A, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Choi, S, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, DelSignore, K, Demarteau, M, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Draper, P, Drinkard, J, Ducros, Y, Dudko, LV, Dugad, SR, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Gartung, P, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Goussiou, A, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grim, G, Grossman, N, Grudberg, P, Grunendahl, S, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johns, K, Johnson, M, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kotwal, AV, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krane, J, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Lan, H, Landsberg, G, Lauer, B, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, Q, Liu, YC, Lobkowicz, F, Loken, SC, Lakos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, MaganaMendoza, L, Mani, S, Mao, HS, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, May, B, Mayorov, AA, McCarthy, R, McDonald, J, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, M, Murphy, C, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rapidis, PA, Rasmussen, L, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Robinov, P, Ruchti, R, Rutherfoord, J, SanchezHernandez, A, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shivpuri, RK, Shupe, M, Singh, H, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snow, J, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Sotnikova, N, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Thomas, TLT, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Vittoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, White, A, White, JT, Wightman, JA, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, and Zylberstejn, A

Published
1997

11. Search for diphoton events with large missing transverse energy in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Baarmand, MM, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Bartlett, JF, Bazizi, K, Belyaev, A, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Choi, S, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, DelSignore, K, Demarteau, M, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Draper, P, Drinkard, J, Ducros, Y, Dudko, LV, Dugad, SR, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Gartung, P, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Gomez, G, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Goussiou, A, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grim, G, Grossman, N, Grudberg, P, Grunendahl, S, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Ito, AS, James, E, Jaques, J, Jerger, SA, Jesik, R, Jiang, JZY, JoffeMinor, T, Johns, K, Johnson, M, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kotwal, AV, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krane, J, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Lan, H, Landsberg, G, Lauer, B, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, Q, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, MaganaMendoza, L, Mani, S, Mao, HS, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, May, B, Mayorov, AA, McCarthy, R, McDonald, J, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, M, Murphy, C, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rapidis, PA, Rasmussen, L, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rutherfoord, J, SanchezHernandez, A, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shivpuri, RK, Shupe, M, Singh, H, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snow, J, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Sotnikova, N, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Thomas, TLT, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, White, A, White, JT, Wightman, JA, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, and Zylberstejn, A

Published
1997

12. Isolated photon cross section in the central and forward rapidity regions in p(p)over-bar collisions at root s=1.8TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Admas, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baarmand, MM, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Choi, S, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Gomez, G, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WS, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Neto, JRTD, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, M, Murphy, C, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nichola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snow, J, Synder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, and Zylberstejn, A

Subjects
Physics::Instrumentation and Detectors, Astrophysics::High Energy Astrophysical Phenomena, High Energy Physics::Experiment, Nuclear Experiment
Abstract

A measurement of the cross section for production of single, isolated photons is reported for transverse energies in the range of 10-125 GeV for two regions of pseudorapidity, |η| < 0.9 and 1.6 < |η| < 2.5. The data represent 12.9 pb-1 of integrated luminosity accumulated in p̄p collisions at √s = 1.8 TeV and recorded with the DO detector at the Fermilab Tevatron Collider. The background, predominantly from jets which fragment to neutral mesons, is estimated using the longitudinal shower shape in the calorimeter. In both pseudorapidity regions the cross section is found to agree with the next-to-leading order QCD prediction for 30 ≲ ET y ≲ 80 GeV.

Published
1996

13. Search for anomalous WW and WZ production in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, L, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baarmand, MM, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Banerjee, S, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Choi, S, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Gomez, G, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, MaganaMendoza, L, Mani, S, Mao, HS, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, deMello, JRT, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, deMotta, H, Mudan, M, Murphy, C, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rutherford, J, SanchezHernandez, A, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, J, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, ML, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womeraley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yepes, P, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, and Zylberstejn, A

Subjects
High Energy Physics::Phenomenology, High Energy Physics::Experiment
Abstract

We present results from a search for anomalous WW and WZ production in p p̄ collisions at √s = 1.8 TeV. We used p p̄ →jjX events observed during the 1992-1993 run of the Fermilab Tevatron collider. corresponding to an integrated luminosity of 13.7 ± 0.7 pb -1. A fit to the transverse momentum spectrum of the W boson yields direct limits on the CP-conserving anomalous WWγ and WWZ coupling parameters of -0.9 < Δκ < 1.1 (with λ = 0) and -0.6 < λ < 0.7 (with Δκ = 0) at the 95% confidence level, for a form factor scale Λ = 1.5 TeV, assuming that the WWγ and WWZ coupling parameters are equal.

Published
1996

14. Studies of topological distributions of inclusive three- and four-jet events in p(p)over-bar collisions at root s=1800GeV with the D0 detector

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Chevalier, L, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Dharmaratna, W, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Gao, SG, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kernan, A, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mandrichenko, IV, Mangeot, P, Mani, S, Mansoulie, B, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Neto, JRTD, Merritt, KW, Miettinen, H, Milder, A, Mincer, A, deMiranda, JM, Mishra, CS, MohammadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, Mudan, M, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Pluquet, A, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rusin, S, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Teiger, J, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Wang, J, Warchol, J, Wayne, M, Weerts, H, Wen, F, Wenzel, WA, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhang, DH, Zhang, Y, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, and Zylberstejn, A

Subjects
High Energy Physics::Phenomenology, High Energy Physics::Experiment
Abstract

The global topologies of inclusive three- and four-jet events produced in p̄p interactions are described. The three- and four-jet events are selected from data recorded by the DO detector at the Fermilab Tevatron Collider operating at a center-of-mass energy of √s = 1800 GeV. The measured, normalized distributions of various topological variables are compared with parton-level predictions of tree-level QCD calculations. The parton-level QCD calculations are found to be in good agreement with the data. The studies also show that the topological distributions of the different subprocesses involving different numbers of quarks are very similar and reproduce the measured distributions well. The parton-shower Monte Carlo generators provide a less satisfactory description of the topologies of the three- and four-jet events. © 1996 The American Physical Society.

Published
1996

15. Search for right-handed W bosons and heavy W' in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Coban, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Neto, JRTD, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, MohammadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, M, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Watts, G, Wayne, M, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhang, DH, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, Zverev, EG, and Zylberstejn, A

Subjects
High Energy Physics::Experiment
Abstract

We report on a search for right-handed W bosons (WR) with mass greater than 200 GeV/c2. We used data collected with the DO detector at the Fermilab Tevatron p p̄ collider at √s = 1.8 TeV to search for WR decays into an electron and a massive right-handed neutrino WR +- → e+-NR. Using the inclusive electron data, we set mass limits independent of the NR decay: mWR > 650 GeV/c2 and mWR > 720 GeV/c2 at the 95% confidence level, valid for mNR > 1/2mWR and mNR ≪ mWR. respectively. The latter also represents a new lower limit on the mass of a heavy left-handed W boson (W') decaying into ev. In addition, limits on mWRvalid for larger values of the NR mass are obtained assuming that NR decays to an electron and two jets.

Published
1996

16. Search for W̃1Z̄2 production via trilepton final states in pp̄ collisions at √s = 1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Álvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, Castilla-Valdez, H, Chakraborty, D, Chang, S-M, Chekulaev, SV, Chen, L-P, Chen, W, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, Cullen-Vidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, di Loreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, Durston-Johnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik II, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gómez, B, Goncharov, PI, González Solís, JL, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grünendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, Hernández-Montoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZ-Y, Joffe-Minor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jöstlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kernan, A, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, J-F, Leflat, A, Li, H, Li, J, Li, YK, Li-Demarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lökös, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, de Mello Neto, JRT, Merritt, KW, Miettinen, H, Mincer, A, de Miranda, JM, Mishra, CS, Mohommadi-Baarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, da Motta, H, Mudan, M, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nešić, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Pušeljić, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rusin, S, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Wayne, M, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhang, DH, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, and Zylberstejn, A

Abstract

We have searched for associated production of the lightest chargino W̃1 and next-to-lightest neutralino Z̄2 of the minimal supersymmetric standard model in pp̄ collisions at √s = 1.8 TeV using the DO detector at the Fermilab Tevatron collider. Data corresponding to an integrated luminosity of 12.5 ± 0.7 pb-1 were examined for events containing three isolated leptons. No evidence for W̃1Z̃2 pair production was found. Limits on σ(W̃1Z̃2)B(W̃1 → lνZ̃1)B(Z̃2 → ll̄Z̃1) are presented.

Published
1996

17. Search for (W)over-tilde(1)(Z)over-tilde(2) production via trilepton final states in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, H, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kernan, A, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, V, Kohli, JM, Koltick, D, Kostritskiy, A, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, deMelloNeto, JRT, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, MohommadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, H, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rusin, S, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, H, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Wayne, H, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhang, D, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, and Zylberstejn, A

Published
1996

18. Search for light top squarks in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kernan, A, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, V, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, deMelloNeto, JRT, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, MohammadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, H, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rusin, S, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stocker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Wayne, H, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, SJ, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Zhang, DH, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, and Zylberstejn, A

Subjects
High Energy Physics::Phenomenology, High Energy Physics::Experiment
Abstract

We present a search for pair produced top squarks, the supersymmetric partners of the top quark, using the D0 detector at the Fermilab Tevatron pp̄ collider. We consider a scenario in which the lighter of the two top squarks t̃ l decays with 100% branching fraction to a charm quark and the lightest neutralino X̃ 1 0 yielding a signal of two acollinear jets with missing transverse energy. We observe 3 events while we expect 3.5 ± 1.2 events from the known standard model processes. We exclude at the 95% confidence level a significant region of the mt̃1-mX̃10 parameter space. The highest mt̃1 value we exclude is 93 GeV/c 2 with a corresponding mmX̃10 value of 8 GeV/c 2.

Published
1996

19. J/Psi production in p(p)over-bar collisions at root s=1.8 TeV

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, SV, Chen, LP, Chen, W, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, Claes, D, Clark, AR, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, T, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Glicenstein, JF, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Gonzalez, JL, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grundberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, QZ, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mani, S, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Neto, JRTD, Merritt, KW, Miettinen, H, Mincer, A, deMiranda, JM, Mishra, CS, MohammadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, daMotta, H, Mudan, M, Murphy, C, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, and Reucroft, S

Published
1996

20. Jet production via strongly interacting color-singlet exchange in p(p)over-bar collisions

Author

Abachi, S, Abbott, B, Abolins, M, Acharya, BS, Adam, I, Adams, DL, Adams, M, Ahn, S, Aihara, H, Alitti, J, Alvarez, G, Alves, GA, Amidi, E, Amos, N, Anderson, EW, Aronson, SH, Astur, R, Avery, RE, Baden, A, Balamurali, V, Balderston, J, Baldin, B, Bantly, J, Bartlett, JF, Bazizi, K, Bendich, J, Beri, SB, Bertram, I, Bezzubov, VA, Bhat, PC, Bhatnagar, V, Bhattacharjee, M, Bischoff, A, Biswas, N, Blazey, G, Blessing, S, Bloom, P, Boehnlein, A, Bojko, NI, Borcherding, F, Borders, J, Boswell, C, Brandt, A, Brock, R, Bross, A, Buchholz, D, Burtovoi, VS, Butler, JM, Carvalho, W, Casey, D, CastillaValdez, H, Chakraborty, D, Chang, SM, Chekulaev, V, Chen, LP, Chen, W, Chevalier, L, Chopra, S, Choudhary, BC, Christenson, JH, Chung, M, Claes, D, Clark, AR, Cobau, WG, Cochran, J, Cooper, WE, Cretsinger, C, CullenVidal, D, Cummings, MAC, Cutts, D, Dahl, OI, De, K, Demarteau, M, Demina, R, Denisenko, K, Denisenko, N, Denisov, D, Denisov, SP, Diehl, HT, Diesburg, M, DiLoreto, G, Dixon, R, Draper, P, Drinkard, J, Ducros, Y, Dugad, SR, DurstonJohnson, S, Edmunds, D, Ellison, J, Elvira, VD, Engelmann, R, Eno, S, Eppley, G, Ermolov, P, Eroshin, OV, Evdokimov, VN, Fahey, S, Fahland, T, Fatyga, M, Fatyga, MK, Featherly, J, Feher, S, Fein, D, Ferbel, T, Finocchiaro, G, Fisk, HE, Fisyak, Y, Flattum, E, Forden, GE, Fortner, M, Frame, KC, Franzini, P, Fuess, S, Gallas, E, Galyaev, AN, Geld, TL, Genik, RJ, Genser, K, Gerber, CE, Gibbard, B, Glebov, V, Glenn, S, Gobbi, B, Goforth, M, Goldschmidt, A, Gomez, B, Goncharov, PI, Solis, JLG, Gordon, H, Goss, LT, Graf, N, Grannis, PD, Green, DR, Green, J, Greenlee, H, Griffin, G, Grossman, N, Grudberg, P, Grunendahl, S, Gu, WX, Guglielmo, G, Guida, JA, Guida, JM, Guryn, W, Gurzhiev, SN, Gutierrez, P, Gutnikov, YE, Hadley, NJ, Haggerty, H, Hagopian, S, Hagopian, V, Hahn, KS, Hall, RE, Hansen, S, Hatcher, R, Hauptman, JM, Hedin, D, Heinson, AP, Heintz, U, HernandezMontoya, R, Heuring, T, Hirosky, R, Hobbs, JD, Hoeneisen, B, Hoftun, JS, Hsieh, F, Hu, T, Huehn, T, Igarashi, S, Ito, AS, James, E, Jaques, J, Jerger, SA, Jiang, JZY, JoffeMinor, T, Johari, H, Johns, K, Johnson, M, Johnstad, H, Jonckheere, A, Jones, M, Jostlein, H, Jun, SY, Jung, CK, Kahn, S, Kalbfleisch, G, Kang, JS, Kehoe, R, Kelly, ML, Kernan, A, Kerth, L, Kim, CL, Kim, SK, Klatchko, A, Klima, B, Klochkov, BI, Klopfenstein, C, Klyukhin, VI, Kochetkov, VI, Kohli, JM, Koltick, D, Kostritskiy, AV, Kotcher, J, Kourlas, J, Kozelov, AV, Kozlovski, EA, Krishnaswamy, MR, Krzywdzinski, S, Kunori, S, Lami, S, Landsberg, G, Lebrat, JF, Leflat, A, Li, H, Li, J, Li, YK, LiDemarteau, Q, Lima, JGR, Lincoln, D, Linn, SL, Linnemann, J, Lipton, R, Liu, YC, Lobkowicz, F, Loken, SC, Lokos, S, Lueking, L, Lyon, AL, Maciel, AKA, Madaras, RJ, Madden, R, Mandrichenko, IV, Mangeot, P, Mani, S, Mansoulie, B, Mao, HS, Margulies, S, Markeloff, R, Markosky, L, Marshall, T, Martin, MI, Marx, M, May, B, Mayorov, AA, McCarthy, R, McKibben, T, McKinley, J, McMahon, T, Melanson, HL, Neto, JRTD, Merritt, KW, Miettinen, H, Milder, A, Mincer, A, deMiranda, JM, Mishra, CS, MohammadiBaarmand, M, Mokhov, N, Mondal, NK, Montgomery, HE, Mooney, P, Mudan, M, Murphy, C, Murphy, CT, Nang, F, Narain, M, Narasimham, VS, Narayanan, A, Neal, HA, Negret, JP, Neis, E, Nemethy, P, Nesic, D, Nicola, M, Norman, D, Oesch, L, Oguri, V, Oltman, E, Oshima, N, Owen, D, Padley, P, Pang, M, Para, A, Park, CH, Park, YM, Partridge, R, Parua, N, Paterno, M, Perkins, J, Peryshkin, A, Peters, M, Piekarz, H, Pischalnikov, Y, Pluquet, A, Podstavkov, VM, Pope, BG, Prosper, HB, Protopopescu, S, Puseljic, D, Qian, J, Quintas, PZ, Raja, R, Rajagopalan, S, Ramirez, O, Rao, MVS, Rapidis, PA, Rasmussen, L, Read, AL, Reucroft, S, Rijssenbeek, M, Rockwell, T, Roe, NA, Rubinov, P, Ruchti, R, Rusin, S, Rutherfoord, J, Santoro, A, Sawyer, L, Schamberger, RD, Schellman, H, Sculli, J, Shabalina, E, Shaffer, C, Shankar, HC, Shao, YY, Shivpuri, RK, Shupe, M, Singh, JB, Sirotenko, V, Smart, W, Smith, A, Smith, RP, Snihur, R, Snow, GR, Snyder, S, Solomon, J, Sood, PM, Sosebee, M, Souza, M, Spadafora, AL, Stephens, RW, Stevenson, ML, Stewart, D, Stoianova, DA, Stoker, D, Streets, K, Strovink, M, Sznajder, A, Taketani, A, Tamburello, P, Tarazi, J, Tartaglia, M, Taylor, TL, Teiger, J, Thompson, J, Trippe, TG, Tuts, PM, Varelas, N, Varnes, EW, Virador, PRG, Vititoe, D, Volkov, AA, Vorobiev, AP, Wahl, HD, Wang, G, Warchol, J, Wayne, M, Weerts, H, Wen, F, White, A, White, JT, Wightman, JA, Wilcox, J, Willis, S, Wimpenny, S, Wirjawan, JVD, Womersley, J, Won, E, Wood, DR, Xu, H, Yamada, R, Yamin, P, Yanagisawa, C, Yang, J, Yasuda, T, Yoshikawa, C, Youssef, S, Yu, J, Yu, Y, Zhang, DH, Zhu, Q, Zhu, ZH, Zieminska, D, Zieminski, A, and Zylberstejn, A

Subjects
High Energy Physics::Phenomenology, High Energy Physics::Experiment
Abstract

A study of the particle multiplicity between jets with large rapidity separation has been performed using the D0 detector at the Fermilab Tevatron pp̄ Collider operating at √s = 1.8 TeV. A significant excess of low-multiplicity events is observed above the expectation for color-exchange processes. The measured fractional excess is 1.07 ± 0.10(stat) -0.13 +0.25(syst)%, which is consistent with a strongly interacting color-singlet (colorless) exchange process and cannot be explained by electroweak exchange alone. A lower limit of 0.80% (95% C.L.) is obtained on the fraction of dijet events with color-singlet exchange, independent of the rapidity gap survival probability.

Published
1996

27. Propofol attenuates hypoxia-induced apoptosis in alveolar epithelial type II cells through down-regulating hypoxia-inducible factor-1α.

Author

He XY, Shi XY, Yuan HB, Xu HT, Li YK, Zou Z, He, X Y, Shi, X Y, Yuan, H B, Xu, H T, Li, Y K, and Zou, Z

Abstract

To investigate the protective effect of propofol against hypoxia-induced apoptosis in alveolar epithelial type II (ATII) cells and to explore whether hypoxia-inducible factor-1α (HIF-1α) is involved in this process. Primary cultured rat ATII cells were randomly assigned to one of the following four groups, namely, Group C: treated under normoxia (21% O(2)), Group P(20): treated with propofol (20 μM) under normoxia (21% O(2)), Group H: treated under hypoxia (5% O(2)), and Group P(20)-H: pre-treated with propofol (20 μM) before hypoxia exposure (5% O(2)). Apoptosis in ATII cells was detected by Annexin V-FITC binding using FACScan. Expressions of HIF-1α and Bnip3L mRNA and protein in ATII cells were examined by quantitative real-time polymerase chain reaction and Western blotting analysis, respectively. Hypoxia exposure (Group H) significantly increased HIF-1α protein expression (P<0.01 vs. Group C) and significantly promoted apoptosis in ATII cells (P<0.01 vs. Group C). Expression of Bnip3L, a target gene of HIF-1α, was also significantly increased at both mRNA and protein levels in response to hypoxia (P<0.01 vs. Group C). Pretreatment with propofol (20 μM, Group P(20)-H) significantly decreased HIF-1α protein expression (P<0.01 vs. Group H) and significantly inhibited apoptosis in ATII cells (P<0.01 vs. Group H), accompanied by decreased expression of Bnip3L at both mRNA and protein levels (P<0.01 vs. Group H). Propofol (20 μM) can attenuate hypoxia-induced apoptosis in ATII cells and inhibit HIF-1α-hypoxia responsive element (HRE) axis involving Bnip3L, which may partly mediate the cytoprotective effects of propofol. [ABSTRACT FROM AUTHOR]

Published
2012
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29. [CT measurement of blood perfusion in hepatocellular carcinoma: from basic principle, measurement methods to clinical application].

Author

Li YK, Wang QB, Liang YB, and Ke Y

Subjects
Humans, Tomography, X-Ray Computed methods, Portal Vein diagnostic imaging, Neovascularization, Pathologic, Liver blood supply, Liver diagnostic imaging, Carcinoma, Hepatocellular blood supply, Carcinoma, Hepatocellular diagnostic imaging, Liver Neoplasms blood supply, Liver Neoplasms diagnostic imaging, Hepatic Artery diagnostic imaging
Abstract

Hepatocellular carcinoma (HCC) is one of the common and fatal malignant tumors worldwide, and the burden of HCC is particularly severe in China. Physiologically, the blood supply to healthy liver is mainly from the portal vein, supplemented by the hepatic artery. While in the development of HCC, the main source of blood supply to HCC is changed from the portal vein to the hepatic artery. The characteristics of HCC vascularization are important for imaging, surgery, interventional therapy, targeted therapy, etc. Even in the future, with the development of radiation therapy technology, such as proton and heavy ion therapy and artificial intelligence technology, the dynamic changes in HCC blood perfusion can be used as a new biomarker of tumor activity to provide accurate information on the intensity modulation of radiotherapy, so that accurate measurements of HCC blood perfusion is of great significance in guiding the diagnosis and treatment of HCC. The technologies for measurement of HCC blood perfusion have developed from invasive techniques, such as inert gas scavenging, electromagnetic flowmeter, and radionuclide-labeled erythrocyte elution in the middle of the last century to the present non-invasive techniques of CT. With the development of CT imaging technology in the last 30 years, the CT-based imaging technology can assess the status of organ and tissue perfusion relatively easily and accurately. In this paper, the various CT measurement techniques of blood perfusion in HCC were categorized into three types: semi-quantitative technique, relative quantitative technique, and absolute quantitative technique. Their basic principle, scanning methods, and clinical applications were discussed to provide a reference for the diagnosis and treatment of HCC.

Published
2024
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30. [Determination of three dechloranes in environmental water by magnetic solid-phase extraction-gas chromatography-negative chemical ionization mass spectrometry based on the covalent organic framework material].

Author

Li YK, Huang CN, Zhou Q, Cheng JW, and Ma JP

Abstract

Dechloranes are additive-type chlorine flame retardants that are widely used in processing industrial products, such as electronic equipment and textiles. Dechloranes, which can enter the human body through various routes, pose significant health risks because of their toxicity, persistence, and bioaccumulation. In 2023, dechlorane plus was listed in the Stockholm Convention on Persistent Organic Pollutants. In the same year, China recognized this compound as a priority-controlled substance. Dechloranes are commonly found at trace levels in water, which is extremely harmful to the environment and human health. Therefore, the development of detection methods for dechloranes is crucial. Magnetic solid-phase extraction (MSPE) has attracted considerable attention because of its low organic solvent consumption, simplicity of adsorbent separation, and ease of operation. In general, the selectivity and efficiency of MSPE depend on the characteristics of the adsorbent. Covalent organic frameworks (COFs) have regular porosity, structural predictability and stability, high specific surface areas, and adjustable pore sizes, which are advantageous for a wide range of separation and analysis applications. In this study, Fe 3 O 4 magnetic nanoparticles and a COF material (TpBD) were combined to prepare Fe 3 O 4 @TpBD as an adsorbent for dechloranes. Subsequently, an effective method for analyzing dechlorane in environmental water was established by coupling MSPE with gas chromatography-negative chemical ionization mass spectrometry (GC-NCI/MS). The successful synthesis of Fe 3 O 4 @TpBD was confirmed using transmission electron microscopy, scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, and vibrating sample magnetometry. A single-factor method was used to optimize the extraction conditions, including the Fe 3 O 4 @TpBD dosage, pH of water sample, elution solvent type and volume, extraction time, elution time, and ionic strength. The target analytes were separated on a TG-5SILMS column (30 m×0.25 mm×0.25 μm) and quantified using the external standard method in the selected-ion monitoring (SIM) mode. Under the optimal extraction conditions, the method validation results showed a linear range of 2-1000 ng/L. The limits of detection (LODs) and quantification (LOQs) were 0.18-0.27 ng/L and 0.60-0.92 ng/L, respectively, for the three analytes. The intra-day and inter-day precisions at three spiked levels were 4.2%-16.2% and 6.9%-15.7%, respectively. This method was successfully applied to the determination of dechloranes in environmental water samples (laboratory tap water, reservoir water, wastewater treatment plant effluent, and landfill leachate treatment effluent). The recoveries of the three dechloranes at different spiked levels ranged from 77.8% to 113.3% with relative standard deviations (RSDs) of 2.5%-16.3% ( n =3). With the advantages of operational simplicity, high sensitivity, and good reproducibility, the proposed method is suitable for the qualitative and quantitative determination of dechloranes in environmental water.

Published
2024
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31. [Arterial prophylactic occlusion technique in the application of surgery for locally advanced pancreatic cancer with arterial involvement after conversion therapy].

Author

Zheng KL, Liu XY, Shi XH, Wang H, Yin XY, Wu XQ, Gu LY, Li PH, Li YK, Jing W, Guo SW, Song B, Gao SZ, and Jin G

Subjects
Humans, Middle Aged, Retrospective Studies, Female, Male, Propensity Score, Aged, Pancreatic Neoplasms surgery
Abstract

Objective: To investigate and compare the clinical outcomes of the arterial pre-occlusion technique(APOT) and the traditional technique in the surgery of locally advanced pancreatic cancer with arterial involvement after conversion therapy. Methods: This is a retrospective cohort study. The clinical data of 145 patients with locally advanced pancreatic cancer with arterial involvement admitted to the Department of Hepato-Biliary-Pancreatic Surgery of the First Hospital Affiliated to Naval Medical University,from January 2020 to December 2022 were retrospectively analyzed. All patients completed neoadjuvant therapy for tumors, and the feasibility of radical surgical treatment was determined by a multidisciplinary collaborative team evaluation before surgery. According to whether the intraoperative artery was pre-occluded, 145 patients were divided into two groups, including 28 cases in the APOT group(16 males, 12 females, aged (59.0±9.4) years), and 117 cases in the routine surgery group(76 males, 41 females, aged (55.1±8.2) years). To ensure comparability of baseline data between the APOT group and the routine surgery group, a 1∶2 match was performed using the propensity score matching method, and the caliper value was 0.006 45. The t -test,the Mann-Whitney U test, χ 2 test or Fisher's exact test were used to compare the data between the two groups,respectively. Results: After matching the propensity score,there were 28 cases in the APOT group and 56 cases in the routine surgery group. There were no significant differences in gender,age,preoperative comorbidities,preoperative body mass index,surgical approaches,chemotherapy regimen,stereotactic body radiation therapy ratio,tumor markers,and type of invaded artery between the two groups (all P >0.05).The arterial occlusion time M (IQR) in the APOT group was 7.0(3.8)minutes(range:3 to 15 minutes),and no ischemic manifestations were observed in the distal target organs that blocked blood vessels after surgery. The operation time was (170.3±57.7)minutes in the APOT group and (235.0±80.2)minutes in the routine surgery group,and the difference was statistically significant ( t =-3.800, P <0.01). The APOT group also experienced less intraoperative blood loss(650(588)ml vs. 800(600)ml; U =1 026.500, P =0.021). No significant differences were found between the groups in combined vein resection and reconstruction,celiac trunk resection,early postoperative complications, readmission rates at 30 days,and postoperative length of stay(all P >0.05). Extra-arterial dissection was performed in all patients,with arterial resection and reconstruction in 3 cases: 2 cases in the APOT group(1 case involving the superior mesenteric artery and 1 case involving the common hepatic artery) and 1 case in the routine group(involving the common hepatic artery). Postoperative abdominal bleeding occurred in 4 cases,with 3 cases in the routine group,1 case in the routine group. The R0 resection rate was 85.7%(24/28) in the APOT group and 80.4%(45/56) in the routine group,without significant differences between the groups( P =0.763). The median overall survival time was 27.6 months for the APOT group and 22.5 months for the routine group,while the median disease-free survival was 11.7 months and 16.8 months,respectively,with no significant differences between the two groups( P =0.532, P =0.927). Conclusion: The arterial pre-occlusion technique can be used for extra-arterial dissection in patients with locally advanced pancreatic cancer involving the arteries,reducing surgery time and intraoperative blood loss.

Published
2024
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32. Tumor-associated lymphatic vessel density is a reliable biomarker for prognosis of esophageal cancer after radical resection: a systemic review and meta-analysis.

Author

Li J, Wang QB, Liang YB, Chen XM, Luo WL, Li YK, Chen X, Lu QY, and Ke Y

Subjects
Humans, Prognosis, Lymphatic Metastasis, Esophagectomy, Esophageal Neoplasms surgery, Esophageal Neoplasms pathology, Esophageal Neoplasms mortality, Lymphatic Vessels pathology, Biomarkers, Tumor
Abstract

Purpose: To explore whether tumor-associated lymphatic vessel density (LVD) could be a biomarker for the prognosis of patients with esophageal cancer after radical resection., Methods: A systematic literature search was performed through PubMed, EMBASE, Wanfang Data, and Cochrane Library from the inception of databases until March 19, 2024. The selected studies investigated overall survival (OS) and/or recurrence-free survival (RFS) of patients with esophageal cancer with different levels of LVD after radical resection. The OS and RFS data were pooled as hazard ratios (HR) and 95% confidential interval (CI). Furthermore, the standardized mean differences (SMDs) and 95% CI were aggregated to evaluate the correlation between LVD and clinicopathological features., Results: A total of 10 retrospective studies of 1,201 patients were finally included for the meta-analysis. Patients with esophageal cancer with a high level of LVD exhibited worse OS (HR 1.65, 95% CI 1.18 to 2.31) and RFS (HR 1.57, 95% CI 1.09 to 2.26) than those with a low level of LVD. Subgroup analysis of different pathological subtypes revealed that patients with esophageal adenocarcinoma with a high level of LVD had significantly worse RFS (HR 2.84, 95% CI 1.61 to 5.02) than those with a low level of LVD; while patients with esophageal squamous cell carcinoma with a high level of LVD had similar OS (HR 1.52, 95% CI 0.93 to 2.47) and RFS (HR 1.03, 95% CI 0.72 to 1.48) to those with a low level of LVD. Furthermore, tumors with lymph node metastasis had significantly higher levels of LVD than those without lymph node metastasis (SMD = 1.11, 95% CI 0.54 to 1.67). Tumors at the stages III-IV had significantly higher levels of LVD than those at the stages I-II (SMD = 1.62, 95% CI 0.90 to 2.34)., Conclusion: A high level of LVD in tumor was associated with worse survival of patients with esophageal cancer after radical resection, especially in patients with esophageal adenocarcinoma. Tumor-associated LVD is a new parameter that should be measured in postoperative pathology for predicting the prognosis of patients with esophageal cancer., Systematic Review Registration: https://www.crd.york.ac.uk/prospero/ PROSPERO, identifier CRD42024553766., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Li, Wang, Liang, Chen, Luo, Li, Chen, Lu and Ke.)

Published
2024
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34. Melatonin promotes hair regeneration by modulating the Wnt/β-catenin signalling pathway.

Author

Niu YL, Li YK, Gao CX, Li WW, Li L, Wang H, Shen W, and Ge W

Subjects
Animals, Mice, beta Catenin metabolism, Mice, Inbred C57BL, Stem Cells metabolism, Stem Cells drug effects, Stem Cells cytology, Male, Cells, Cultured, Melatonin pharmacology, Wnt Signaling Pathway drug effects, Regeneration drug effects, Hair Follicle drug effects, Hair Follicle metabolism, Hair drug effects, Hair growth & development, Hair metabolism
Abstract

Melatonin (MLT) is a circadian hormone that reportedly influences the development and cyclic growth of secondary hair follicles; however, the mechanism of regulation remains unknown. Here, we systematically investigated the role of MLT in hair regeneration using a hair depilation mouse model. We found that MLT supplementation significantly promoted hair regeneration in the hair depilation mouse model, whereas supplementation of MLT receptor antagonist luzindole significantly suppressed hair regeneration. By analysing gene expression dynamics between the MLT group and luzindole-treated groups, we revealed that MLT supplementation significantly up-regulated Wnt/β-catenin signalling pathway-related genes. In-depth analysis of the expression of key molecules in the Wnt/β-catenin signalling pathway revealed that MLT up-regulated the Wnt/β-catenin signalling pathway in dermal papillae (DP), whereas these effects were facilitated through mediating Wnt ligand expression levels in the hair follicle stem cells (HFSCs). Using a DP-HFSCs co-culture system, we verified that MLT activated Wnt/β-catenin signalling in DPs when co-cultured with HFSCs, whereas supplementation of DP cells with MLT alone failed to activate Wnt/β-catenin signalling. In summary, our work identified a critical role for MLT in promoting hair regeneration and will have potential implications for future hair loss treatment in humans., (© 2024 The Authors. Cell Proliferation published by Beijing Institute for Stem Cell and Regenerative Medicine and John Wiley & Sons Ltd.)

Published
2024
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35. Ionones from cigar tobacco leaves.

Author

Zhang CX, Zhang GH, Wei F, Kong GH, He Y, Li YK, and Cai XH

Subjects
Molecular Structure, Norisoprenoids chemistry, Plant Leaves chemistry, Nicotiana chemistry
Abstract

Phytochemical studies on cigar tobacco leaves led to the isolation of 18 ionone-type compounds, including previously undescribed cigatobanes E ( 1 ) and F ( 2 ). Additionally, compounds vomifoliol acetate ( 3) , dehydrovomifoliol ( 4) , 8,9-dihydromegastigmane-4,6-diene-3-one ( 5) , 7 α ,8 α -epoxyblumenol B ( 6) , 3-oxoactinidol ( 12 ), and loliolide acetate ( 15 ), 4 β -hydroxy-dihydroactinidiolide ( 17 ), were found in tobacco leaves for the first time. The structural elucidation of all compounds was accomplished through rigorous spectral analysis.

Published
2024
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36. Potential plausible role of Wharton's jelly mesenchymal stem cells for diabetic bone regeneration.

Author

Zheng S, Hu GY, Li JH, and Li YK

Abstract

This letter addresses the review titled "Wharton's jelly mesenchymal stem cells: Future regenerative medicine for clinical applications in mitigation of radiation injury". The review highlights the regenerative potential of Wharton's jelly mesenchymal stem cells (WJ-MSCs) and describes why WJ-MSCs will become one of the most probable stem cells for future regenerative medicine. The potential plausible role of WJ-MSCs for diabetic bone regeneration should be noticeable, which will provide a new strategy for improving bone regeneration under diabetic conditions., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2024
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37. The additive effect of the triglyceride-glucose index and estimated glucose disposal rate on long-term mortality among individuals with and without diabetes: a population-based study.

Author

He HM, Xie YY, Chen Q, Li YK, Li XX, Mu YK, Duo XY, Gao YX, and Zheng JG

Subjects
Humans, Male, Female, Middle Aged, Risk Assessment, Cross-Sectional Studies, Time Factors, Prognosis, Aged, Adult, United States epidemiology, Predictive Value of Tests, Risk Factors, Blood Glucose metabolism, Triglycerides blood, Biomarkers blood, Cardiovascular Diseases mortality, Cardiovascular Diseases blood, Cardiovascular Diseases diagnosis, Diabetes Mellitus mortality, Diabetes Mellitus blood, Diabetes Mellitus diagnosis, Cause of Death, Nutrition Surveys, Insulin Resistance
Abstract

Background: The triglyceride-glucose (TyG) index and estimated glucose disposal rate (eGDR), which are calculated using different parameters, are widely used as markers of insulin resistance and are associated with cardiovascular diseases and prognosis. However, whether they have an additive effect on the risk of mortality remains unclear. This study aimed to explore whether the combined assessment of the TyG index and eGDR improved the prediction of long-term mortality in individuals with and without diabetes., Methods: In this cross-sectional and cohort study, data were derived from the National Health and Nutrition Examination Survey (NHANES) 2001-2018, and death record information was obtained from the National Death Index. The associations of the TyG index and eGDR with all-cause and cardiovascular mortality were determined by multivariate Cox regression analysis and restricted cubic splines., Results: Among the 17,787 individuals included in the analysis, there were 1946 (10.9%) all-cause deaths and 649 (3.6%) cardiovascular deaths during a median follow-up of 8.92 years. In individuals with diabetes, the restricted cubic spline curves for the associations of the TyG index and eGDR with mortality followed a J-shape and an L-shape, respectively. The risk of mortality significantly increased after the TyG index was > 9.04 (all-cause mortality) or > 9.30 (cardiovascular mortality), and after eGDR was < 4 mg/kg/min (both all-cause and cardiovascular mortality). In individuals without diabetes, the association between eGDR and mortality followed a negative linear relationship. However, there was no association between the TyG index and mortality. Compared with individuals in the low TyG and high eGDR group, those in the high TyG and low eGDR group (TyG > 9.04 and eGDR < 4) showed the highest risk for all-cause mortality (hazard ratio [HR] = 1.592, 95% confidence interval [CI] 1.284-1.975) and cardiovascular mortality (HR = 1.683, 95% CI 1.179-2.400) in the overall population. Similar results were observed in individuals with and without diabetes., Conclusions: There was a potential additive effect of the TyG index and eGDR on the risk of long-term mortality in individuals with and without diabetes, which provided additional information for prognostic prediction and contributed to improving risk stratification., (© 2024. The Author(s).)

Published
2024
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38. Contribution of inwardly rectifying potassium channel 4.1 in orofacial neuropathic pain: Regulation of pannexin 3 via the reactive oxygen species-activated P38 MAPK signal pathway.

Author

Feng YH, Tang RJ, Zhang YY, Lin J, Liu YJ, Li YK, Li CJ, Zhou C, Liu F, and Shen JF

Subjects
Animals, Female, Male, Mice, Facial Pain metabolism, Hyperalgesia metabolism, MAP Kinase Signaling System physiology, Mice, Inbred C57BL, Nerve Tissue Proteins metabolism, Nerve Tissue Proteins genetics, Potassium Channels, Inwardly Rectifying metabolism, Trigeminal Ganglion metabolism, Mitogen-Activated Protein Kinase 14 metabolism, Connexins metabolism, Connexins genetics, Neuralgia metabolism, p38 Mitogen-Activated Protein Kinases metabolism, Reactive Oxygen Species metabolism
Abstract

The involvement of inwardly rectifying potassium channel 4.1 (Kir4.1) in neuropathic pain has been established. However, there is limited understanding of the downstream mechanism through which Kir4.1 contributes to orofacial neuropathic pain. The objective of this study was to examine the regulation of Kir4.1 on the expression of pannexin 3 (Panx3) in the trigeminal ganglion (TG) and the underlying mechanism in the context of orofacial neuropathic pain caused by chronic constriction injury of the infraorbital nerve (CCI-ION). The study observed a significant increase in Panx3 expression in the TG of mice with CCI-ION. Inhibition of Panx3 in the TG of CCI-ION mice resulted in alleviation of orofacial mechanical allodynia. Furthermore, conditional knockdown (CKD) of Kir4.1 in the TG of both male and female mice led to mechanical allodynia and upregulation of Panx3 expression. Conversely, overexpression of Kir4.1 decreased Panx3 levels in the TG and relieved mechanical allodynia in CCI-ION mice. In addition, silencing Kir4.1 in satellite glial cells (SGCs) decreased Panx3 expression and increased the phosphorylation of P38 MAPK. Moreover, silencing Kir4.1 in SGCs increased the levels of reactive oxygen species (ROS). The elevated phosphorylation of P38 MAPK resulting from Kir4.1 silencing was inhibited by using a superoxide scavenger known as the tempol. Silencing Panx3 in the TG in vivo attenuated the mechanical allodynia caused by Kir4.1 CKD. In conclusion, these findings suggest that the reduction of Kir4.1 promotes the expression of Panx3 by activating the ROS-P38 MAPK signalling pathway, thus contributing to the development of orofacial neuropathic pain., (© 2024 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.)

Published
2024
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39. The crucial role of NR2A mediating the activation of satellite glial cells in the trigeminal ganglion contributes to orofacial inflammatory pain during TMJ inflammation.

Author

Song QX, Zhang YY, Li YL, Liu F, Liu YJ, Li YK, Li CJ, Zhou C, and Shen JF

Subjects
Animals, Female, Male, Mice, Freund's Adjuvant toxicity, Mice, Inbred C57BL, Neuroglia metabolism, Satellite Cells, Perineuronal metabolism, Facial Pain metabolism, Inflammation metabolism, Mice, Knockout, Receptors, N-Methyl-D-Aspartate metabolism, Temporomandibular Joint Disorders metabolism, Trigeminal Ganglion metabolism
Abstract

Temporomandibular joint inflammatory diseases are a significant subtype of temporomandibular disorders (TMD) characterized by inflammatory pain in the orofacial area. The N-methyl-D-aspartate receptor (NMDAR), specifically the NR2A subtype, was crucial in neuropathic pain. However, the exact role of NR2A in inflammatory pain in the TMJ and the molecular and cellular mechanisms mediating peripheral sensitization in the trigeminal ganglion (TG) remain unclear. This study utilized male and female mice to induce the TMJOA model by injecting Complete Freund's adjuvant (CFA) into the TMJ and achieve conditional knockout (CKO) of NR2A in the TG using Cre/Loxp technology. The Von-Frey filament test results showed that CFA-induced orofacial pain with reduced mechanical withdrawal threshold (MWT), which was not developed in NR2A CKO mice. Additionally, the up-regulation of interleukin (IL)-1β, IL-6, and nerve growth factor (NGF) in the TG induced by CFA did not occur by NR2A deficiency. In vitro, NMDA activated satellite glial cells (SGCs) with high expression of glial fibrillary acidic protein (GFAP), and both NMDA and LPS led to increased IL-1β, IL-6, and NGF in SGCs. NR2A deficiency reduced these stimulating effects of NMDA and LPS. The regulation of IL-1β involved the p38, Protein Kinase A (PKA), and Protein Kinase C (PKC) pathways, while IL-6 signaling relied on PKA and PKC pathways. NGF regulation was primarily through the p38 pathway. This study highlighted NR2A's crucial role in the TG peripheral sensitization during TMJ inflammation by mediating ILs and NGF, suggesting potential targets for orofacial inflammatory pain management., Competing Interests: Declaration of competing interest We confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Published
2024
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40. Historical evolution and processing mechanism of 'nine steaming and nine drying' of traditional Chinese medicine preparation.

Author

Li YK, Chen Z, and Zhang C

Subjects
Humans, Desiccation methods, Steam, History, 20th Century, History, 21st Century, Drug Compounding history, Medicine, Chinese Traditional history, Medicine, Chinese Traditional methods, Drugs, Chinese Herbal history, Drugs, Chinese Herbal pharmacology, Drugs, Chinese Herbal chemistry
Abstract

Context: Nine steaming and nine drying is a traditional Chinese medicine (TCM) processing method and it is widely used for processing tonifying herbs. Modern research reveals that the repeated steaming and drying process varies the composition and clinical efficacy of TCM., Objective: This paper analyzes and explores the historical evolution, research progress, development strategies, and problems encountered in the nine steaming and nine drying process so as to provide a reasonable explanation for this method., Methods: English and Chinese literature from 1986 to 2023 was collected from databases including Web of Science, PubMed, Elsevier, Chinese Pharmacopoeia 2020 (CP), and CNKI (Chinese). Nine steaming and nine drying, processing, TCM and pharmacological activity were used as the key words., Results: Nine steaming and nine drying has undergone thousands of years of clinical practice. Under specific processing conditions of nine steaming and nine drying, the ingredients of the TCM have significant changes, which in turn altered clinical applications., Conclusions: This review provides sufficient evidence to prove the rationality and scientific value of nine steaming and nine drying and puts forward a development direction for future research.

Published
2024
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41. Ascorbate peroxidase catalyses synthesis of protocatechualdehyde from p-hydroxybenzaldehyde in Lycoris aurea.

Author

Liu JS, Li YK, Li J, Li Y, Liu ZT, Zhou ZX, Li YG, and Wang R

Subjects
Molecular Docking Simulation, Plant Proteins genetics, Plant Proteins metabolism, Benzaldehydes metabolism, Catechols metabolism, Ascorbate Peroxidases genetics, Ascorbate Peroxidases metabolism, Lycoris genetics, Lycoris enzymology, Lycoris metabolism
Abstract

Protocatechualdehyde is a plant natural phenolic aldehyde and an active ingredient with important bioactivities in traditional Chinese medicine. Protocatechualdehyde is also a key intermediate in the synthesis of Amaryllidaceae alkaloids for supplying the C6-C1 skeleton. However, the biosynthesis of protocatechualdehyde in plants remains obscure. In this study, we measured the protocatechualdehyde contents in the root, bulb, scape and flower of the Amaryllidaceae plant Lycoris aurea (L'Hér.) Herb., and performed the correlation analysis between the protocatechualdehyde contents and the transcriptional levels of the phenolic oxidization candidate protein encoding genes. We found that a novel ascorbate peroxidase encoded by the contig&#95;24999 in the L. aurea transcriptome database had potential role in the biosynthesis of protocatechualdehyde. The LauAPX&#95;24999 gene was then cloned from the cDNA of the scape of L. aurea. The transient expression of LauAPX&#95;24999 protein in Arabidopsis protoplasts demonstrated that LauAPX&#95;24999 protein was localized in the cytoplasm, thus belonging to Class II L-ascorbate peroxidase. Subsequently, LauAPX&#95;24999 protein was heterogenously expressed in Escherichia coli, and identified that LauAPX&#95;24999 biosynthesized protocatechualdehyde from p-hydroxybenzaldehyde using L-ascorbic acid as the electron donor. The protein structure modelling and molecular docking indicated that p-hydroxybenzaldehyde could access to the active pocket of LauAPX&#95;24999 protein, and reside at the δ-edge of the heme group while L-ascorbic acid binds at the γ-heme edge. To our knowledge, LauAPX&#95;24999 is the first enzyme discovered in plants able to biosynthesize protocatechualdehyde from p-hydroxybenzaldehyde, and offers a competent enzyme resource for the biosynthesis of Amaryllidaceae alkaloids via synthetic biology., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Published
2024
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42. N-methyl-D-aspartate Receptor Subunits 2A and 2B Mediate Connexins and Pannexins in the Trigeminal Ganglion Involved in Orofacial Inflammatory Allodynia during Temporomandibular Joint Inflammation.

Author

Li YL, Zhang YY, Song QX, Liu F, Liu YJ, Li YK, Zhou C, and Shen JF

Abstract

Temporomandibular joint osteoarthritis (TMJOA) is a severe form of temporomandibular joint disorders (TMD), and orofacial inflammatory allodynia is one of its common symptoms which lacks effective treatment. N-methyl-D-aspartate receptor (NMDAR), particularly its subtypes GluN2A and GluN2B, along with gap junctions (GJs), are key players in the mediation of inflammatory pain. However, the precise regulatory mechanisms of GluN2A, GluN2B, and GJs in orofacial inflammatory allodynia during TMJ inflammation still remain unclear. Here, we established the TMJ inflammation model by injecting Complete Freund's adjuvant (CFA) into the TMJ and used Cre/loxp site-specific recombination system to conditionally knock out (CKO) GluN2A and GluN2B in the trigeminal ganglion (TG). Von-frey test results indicated that CFA-induced mechanical allodynia in the TMJ region was relieved in GluN2A and GluN2B deficient mice. In vivo, CFA significantly up-regulated the expression of GluN2A and GluN2B, Gjb1, Gjb2, Gjc2 and Panx3 in the TG, and GluN2A and GluN2B CKO played different roles in mediating the expression of Gjb1, Gjb2, Gjc2 and Panx3. In vitro, NMDA up-regulated the expression of Gjb1, Gjb2, Gjc2 and Panx3 in satellite glial cells (SGCs) as well as promoted the intercellular communication between SGCs, and GluN2A and GluN2B knocking down (KD) altered the expression and function differently. NMDAR regulated Gjb1 and Panx3 through ERK1/2 pathway, and mediated Gjb2 and Gjc2 through MAPK, PKA, and PKC intracellular signaling pathways. These findings shed light on the distinct functions of GluN2A and GluN2B in mediating peripheral sensitization induced by TMJ inflammation in the TG, offering potential therapeutic targets for managing orofacial inflammatory allodynia., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2024
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43. A novel approach for estimating lung tumor motion based on dynamic features in 4D-CT.

Author

Gong YJ, Li YK, Zhou R, Liang Z, Zhang Y, Cheng T, and Zhang ZJ

Subjects
Humans, Algorithms, Radiographic Image Interpretation, Computer-Assisted methods, Movement, Sensitivity and Specificity, Reproducibility of Results, Respiratory-Gated Imaging Techniques methods, Lung Neoplasms diagnostic imaging, Lung Neoplasms physiopathology, Four-Dimensional Computed Tomography methods
Abstract

Due to the high expenses involved, 4D-CT data for certain patients may only include five respiratory phases (0%, 20%, 40%, 60%, and 80%). This limitation can affect the subsequent planning of radiotherapy due to the absence of lung tumor information for the remaining five respiratory phases (10%, 30%, 50%, 70%, and 90%). This study aims to develop an interpolation method that can automatically derive tumor boundary contours for the five omitted phases using the available 5-phase 4D-CT data. The dynamic mode decomposition (DMD) method is a data-driven and model-free technique that can extract dynamic information from high-dimensional data. It enables the reconstruction of long-term dynamic patterns using only a limited number of time snapshots. The quasi-periodic motion of a deformable lung tumor caused by respiratory motion makes it suitable for treatment using DMD. The direct application of the DMD method to analyze the respiratory motion of the tumor is impractical because the tumor is three-dimensional and spans multiple CT slices. To predict the respiratory movement of lung tumors, a method called uniform angular interval (UAI) sampling was developed to generate snapshot vectors of equal length, which are suitable for DMD analysis. The effectiveness of this approach was confirmed by applying the UAI-DMD method to the 4D-CT data of ten patients with lung cancer. The results indicate that the UAI-DMD method effectively approximates the lung tumor's deformable boundary surface and nonlinear motion trajectories. The estimated tumor centroid is within 2 mm of the manually delineated centroid, a smaller margin of error compared to the traditional BSpline interpolation method, which has a margin of 3 mm. This methodology has the potential to be extended to reconstruct the 20-phase respiratory movement of a lung tumor based on dynamic features from 10-phase 4D-CT data, thereby enabling more accurate estimation of the planned target volume (PTV)., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Published
2024
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44. Tunable Nano-Bending Structures of Loosened/Tightened Lassos with Bi-Stable Vibration-Induced Emissions for Multi-Manipulations of White-Light Emissions and Sensor Applications.

Author

Trung NT, Chiu CH, Cuc TTK, Khang TM, Jalife S, Nhien PQ, Hue BTB, Wu JI, Li YK, and Lin HC

Abstract

The first tunable nano-bending structures of [1]rotaxane containing a single-fluorophoric N,N'-diphenyl-dihydrodibenzo[a,c]phenazine (DPAC) moiety (i.e., [1]RA) are developed as a loosened lasso structure to feature the bright white-light emission [CIE (0.27, 0.33), Φ = 21.2%] in THF solution, where bi-stable states of bending and twisted structures of DPAC unit in [1]RA produce cyan and orange emissions at 480 and 600 nm, respectively. With acid/base controls, tunable loosened/tightened nano-loops of corresponding [1]rotaxanes (i.e., [1]RA/[1]RB) can be achieved via the shuttling of macrocycles reversibly, and thus to adjust their respective white-light/cyan emissions, where the cyan emission of [1]RB is obtained due to the largest conformational constraint of DPAC moiety in its bending form of [1]RB with a tightened lasso structure. Additionally, the non-interlocked analog M-Boc only shows the orange emission, revealing the twisted form of DPAC fluorophore in M-Boc without any conformational constraint. Moreover, the utilization of solvents (with different viscosities and polarities), temperatures, and water fractions could serve as effective tools to adjust the bi-stable vibration-induced emission (VIE) colors of [1]rotaxanes. Finally, tuning ratiometric emission colors of adaptive conformations of DPAC moieties by altering nano-bending structures in [1]rotaxanes and external stimuli can be further developed as intelligent temperature and viscosity sensor materials., (© 2024 Wiley‐VCH GmbH.)

Published
2024
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45. Three new chromones from the whole plants of Chamaecrista rotundifolia and their anti-rotavirus activities.

Author

Yang PS, He XY, Li SS, Huang DQ, Shen SY, Liu XS, Ma YY, Dong M, Zhou M, Yang FX, and Li YK

Subjects
Molecular Structure, Magnetic Resonance Spectroscopy, China, Plant Extracts chemistry, Plant Extracts pharmacology, Chromones chemistry, Chromones pharmacology, Antiviral Agents pharmacology, Antiviral Agents chemistry, Antiviral Agents isolation & purification
Abstract

Chamaecrista rotundifolia ( C. rotundifolia ) is a perennial herb of leguminosae, which increasingly being grown as a forage in China. In our search for original bioactive metabolites from Cassia plants, the phytochemical reinvestigation of the C. rotundifolia was carried out, which led to the isolation of three new ( 1 - 3 ) and six known ( 4 - 9 ) chromones. Their structures were confirmed by spectroscopic methods, including extensive 1D and 2D NMR techniques. Compounds 1 - 9 were evaluated for their anti-rotavirus activities, and the results revealed that compounds 1 - 9 exhibited potential anti-rotavirus activities with therapeutic index (TI) valves in the range of 12.0 ∼ 20.2, respectively.

Published
2024
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46. Impact of family and caregiver factors on development and behaviours in maltreated young children.

Author

Li YK, Agarwal PK, Oh JY, Ong LM, Chow WH, Daniel LM, Chay OM, Low CJW, and Yeleswarapu SP

Subjects
Humans, Child, Preschool, Male, Female, Singapore epidemiology, Risk Factors, Infant, Educational Status, Mental Health, Child Behavior Disorders epidemiology, Child Behavior Disorders etiology, Surveys and Questionnaires, Family psychology, Child Development, Child Behavior psychology, Social Class, Caregivers psychology, Child Abuse psychology, Child Abuse statistics & numerical data
Abstract

Introduction: This study aimed to evaluate the prevalence of developmental and emotional/ behavioural concerns in maltreated children and to examine the impact of adverse family/caregiver risk factors on these outcomes., Method: We analysed family demographic and baseline data of 132 maltreated children and their caregivers from a family support programme in Singapore. We examined the associations of 3 main risk factors (i.e., caregiver mental health, educational attainment, and family socio-economic status [SES]) with developmental/behavioural outcomes using multivariable logistic regression, controlling for caregiver relationship to the child. Caregiver mental health was assessed using the Patient Health Questionnaire 9 (PHQ-9) and General Anxiety Disorder 7 (GAD-7) tools. Developmental/behavioural outcomes were assessed using the Ages and Stages Questionnaires (ASQ-3), ASQ-Social-Emotional (ASQ-SE), and the Child Behaviour Checklist (CBCL)., Results: The children ranged in age, from 2 months to 3 years 11 months (median age 1.7 years, interquartile range [IQR] 0.9-2.6). Among caregivers, 86 (65.2%) were biological mothers, 11 (8.3%) were biological fathers, and 35 (26.5%) were foster parents or extended family members. Low family SES was associated with communication concerns on the ASQ-3 (adjusted odds ratio [AOR] 3.04, 95% CI 1.08-8.57, P=0.04). Caregiver mental health concerns were associated with increased behavioural concerns on the CBCL (AOR 6.54, 95% CI 1.83-23.33, P=0.004) and higher scores on the ASQ-SE (AOR 7.78, 95% CI 2.38-25.38, P=0.001)., Conclusion: Maltreated children with caregivers experiencing mental health issues are more likely to have heightened emotional and behavioural concerns. Those from low SES families are also at increased risk of language delay, affecting their communication., Competing Interests: The authors declare that there is no conflict of interest.

Published
2024
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47. Multifacets of Fullerene-Metal Clusters: From Fundamental to Application.

Author

Xu J, Li YK, Janssens E, and Hou GL

Abstract

ConspectusBuckminsterfullerene, C 60 , was discovered through a prominent mass peak containing 60 atoms produced from laser vaporization of graphite, driven by Kroto's interest in understanding the formation mechanisms of carbon-containing molecules in space. Inspired by the geodesic dome-shaped architecture designed by Richard Buckminster Fuller, after whom the particle was named, C 60 was found to have a football-shaped structure comprising 20 hexagons and 12 pentagons. It sparked worldwide interest in understanding this new carbon allotrope, resulting in the awarding of the Noble Prize in Chemistry to Smalley, Kroto, and Curl in 1996.Intrinsically, C 60 is an exceptional species because of its high stability and electron-accepting ability and its structural tunability by decorating or substituting either on its exterior surface or interior hollow cavity. For example, metal-decorated fullerene complexes have found important applications ranging from superconductivity, nanoscale electronic devices, and organic photovoltaic cells to catalysis and biomedicine. Compared to the large body of studies on atoms and molecules encapsulated by C 60 , studies on the exteriorly modified fullerenes, i.e., exohedral fullerenes, are scarcer. Surprisingly, to date, uncertainty exists about a fundamental question: what is the preferable exterior binding site of different kinds of single atoms on the C 60 surface?In recent years, we have developed an experimental protocol to synthesize the desired fullerene-metal clusters and to record their infrared spectra via messenger-tagged infrared multiple photon dissociation spectroscopy. With complementary quantum chemical calculations and molecular dynamics simulations, we determined that the most probable binding site of a metal, specifically a vanadium cation, on C 60 is above a pentagonal center in an η 5 fashion. We explored the bonding nature between C 60 and V + and revealed that the high thermal stability of this cluster originates from large orbital and electrostatic interactions. Through comparing the measured infrared spectra of [C 60 -Metal] + with the observational Spitzer data of several fullerene-rich planetary nebulae, we proposed that the complexes formed by fullerene and cosmically abundant metals, for example, iron, are promising carriers of astronomical unidentified spectroscopic features. This opens the door for a real consideration of Kroto's 30-year-old hypothesis that complexes involving cosmically abundant elements and C 60 exhibit strong charge-transfer bands, similar to those of certain unidentified astrophysical spectroscopic features. We compiled a VibFullerene database and extracted a set of vibrational frequencies and intensities for fullerene derivatives to facilitate their potential detection by the James Webb Space Telescope. In addition, we showed that upon infrared irradiation C 60 V + can efficiently catalyze water splitting to generate H 2 . This finding is attributed to the novel geometric-electronic effects of C 60 , acting as "hydrogen shuttle" and "electron sponge", which illustrates the important role of carbon-based supports in single-atom catalysts. Our work not only unveils the basic structures and bonding nature of fullerene-metal clusters but also elucidates their potential importance in astrophysics, astrochemistry, and catalysis, showing the multifaceted character of this class of clusters. More exciting and interesting aspects of the fullerene-metal clusters, such as ultrafast charge-transfer dynamics between fullerene and metal and their relevance to designing hybrid fullerene-metal junctions for electronic devices, are awaiting exploration.

Published
2024
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48. Direct reduction of NO into N 2 catalyzed by fullerene-supported rhodium clusters.

Author

Li R, Li YK, Xu J, and Hou GL

Abstract

Catalytic conversion of NO has long been a focus of atmospheric pollution control and diesel vehicle exhaust treatment. Rhodium is one of the most effective metals for catalyzing NO reduction, and understanding the nature of the active sites and underlying mechanisms can help improve the design of Rh-based catalysts towards NO reduction. In this work, we investigated the detailed catalytic mechanisms for the direct reduction of NO to N 2 by fullerene-supported rhodium clusters, C 60 Rh 4 + , with density functional theory calculations. We found that the presence of C 60 facilitates the smooth reduction of NO into N 2 and O 2 , as well as their subsequent desorption, recovering the catalyst C 60 Rh 4 + . Such a process fails to be completed by free Rh 4 + , emphasizing the critical importance of C 60 support. We attribute the novel performance of C 60 Rh 4 + to the electron sponge effect of C 60 , providing useful guidance for designing efficient catalysts for the direct reduction of NO.

Published
2024
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49. Icariin accelerates bone regeneration by inducing osteogenesis-angiogenesis coupling in rats with type 1 diabetes mellitus.

Author

Zheng S, Hu GY, Li JH, Zheng J, and Li YK

Abstract

Background: Icariin (ICA), a natural flavonoid compound monomer, has multiple pharmacological activities. However, its effect on bone defect in the context of type 1 diabetes mellitus (T1DM) has not yet been examined., Aim: To explore the role and potential mechanism of ICA on bone defect in the context of T1DM., Methods: The effects of ICA on osteogenesis and angiogenesis were evaluated by alkaline phosphatase staining, alizarin red S staining, quantitative real-time polymerase chain reaction, Western blot, and immunofluorescence. Angiogenesis-related assays were conducted to investigate the relationship between osteogenesis and angiogenesis. A bone defect model was established in T1DM rats. The model rats were then treated with ICA or placebo and micron-scale computed tomography, histomorphometry, histology, and sequential fluorescent labeling were used to evaluate the effect of ICA on bone formation in the defect area., Results: ICA promoted bone marrow mesenchymal stem cell (BMSC) proliferation and osteogenic differentiation. The ICA treated-BMSCs showed higher expression levels of osteogenesis-related markers (alkaline phosphatase and osteocalcin) and angiogenesis-related markers (vascular endothelial growth factor A and platelet endothelial cell adhesion molecule 1) compared to the untreated group. ICA was also found to induce osteogenesis-angiogenesis coupling of BMSCs. In the bone defect model T1DM rats, ICA facilitated bone formation and CD31 hi EMCN hi type H-positive capillary formation. Lastly, ICA effectively accelerated the rate of bone formation in the defect area., Conclusion: ICA was able to accelerate bone regeneration in a T1DM rat model by inducing osteogenesis-angiogenesis coupling of BMSCs., Competing Interests: Conflict-of-interest statement: The authors declare having no competing interests for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2024
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