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1.  Chicken Essence Improves Exercise Performance and Ameliorates Physical Fatigue 
Nutrients  2014;6(7):2681-2696.
Chicken essence (CE) is a liquid nutritional supplement made from cooking whole chickens. In traditional Chinese medicine, CE is used to support health, promote healing, increase metabolism, and relieve fatigue. However, few studies have examined the effect of CE on exercise performance and physical fatigue. We aimed to evaluate the potential beneficial effects of CE on fatigue and ergogenic functions following physical challenge in mice. Male ICR mice were divided into four groups to receive vehicle or CE by oral gavage at 0, 845, 1690, or 4225 mg/kg/day for 4 weeks. Exercise performance and anti-fatigue function were evaluated by forelimb grip strength, exhaustive swimming time, and levels of physical fatigue-related biomarkers serum lactate, ammonia, glucose, and creatine kinase (CK) after physical challenge. CE supplementation dose-dependently elevated endurance and grip strength. CE supplementation significantly decreased lactate, ammonia, and CK levels after physical challenge. Tissue glycogen content, an important energy source for exercise, was significantly increased with CE supplementation. In addition, CE supplementation had few subchronic toxic effects. The supplementation with CE can have a wide spectrum of bioactivities on health promotion, performance improvement and anti-fatigue.
PMCID: PMC4113764  PMID: 25045938
ergogenic aid; supplement; glycogen; grip strength; lactate; ammonia
2.  Poly(ADP-Ribose) Polymerase 1 Promotes Oxidative-Stress-Induced Liver Cell Death via Suppressing Farnesoid X Receptor α 
Molecular and Cellular Biology  2013;33(22):4492-4503.
Farnesoid X receptor α (FXR) is highly expressed in the liver and regulates the expression of various genes involved in liver repair. In this study, we demonstrated that activated poly(ADP-ribose) polymerase 1 (PARP1) promoted hepatic cell death by inhibiting the expression of FXR-dependent hepatoprotective genes. PARP1 could bind to and poly(ADP-ribosyl)ate FXR. Poly(ADP-ribosyl)ation dissociated FXR from the FXR response element (FXRE), present in the promoters of target genes, and suppressed FXR-mediated gene transcription. Moreover, treatment with a FXR agonist attenuated poly(ADP-ribosyl)ation of FXR and promoted FXR-dependent gene expression. We further established the CCl4-induced acute liver injury model in wild-type and FXR-knockout mice and identified an essential role of FXR poly(ADP-ribosyl)ation in CCl4-induced liver injury. Thus, our results identified poly(ADP-ribosyl)ation of FXR by PARP1 as a key step in oxidative-stress-induced hepatic cell death. The molecular association between PARP1 and FXR provides new insight into the mechanism, suggesting that inhibition of PARP1 could prevent liver injury.
PMCID: PMC3838191  PMID: 24043304
3.  C1GALT1 overexpression promotes the invasive behavior of colon cancer cells through modifying O-glycosylation of FGFR2 
Oncotarget  2014;5(8):2096-2106.
Core 1 β1,3-galactosyltransferase (C1GALT1) transfers galactose (Gal) to N-acetylgalactosamine (GalNAc) to form Galβ1,3GalNAc (T antigen). Aberrant O-glycans, such as T antigen, are commonly found in colorectal cancer. However, the role of C1GALT1 in colorectal cancer remains unclear. Here we showed that C1GALT1 was frequently overexpressed in colorectal tumors and is associated with poor survival. C1GALT1 overexpression promoted cell survival, migration, invasion, and sphere formation as well as tumor growth and metastasis of colon cancer cells. Conversely, knockdown of C1GALT1 with small interference (si) RNA was sufficient to suppress these malignant phenotypes in vitro and in vivo. Moreover, we are the first to show that fibroblast growth factor receptor (FGFR) 2 carried O-glycans in colon cancer cells. Mechanistic investigations showed that C1GALT1 modified the O-glycans on FGFR2 and enhanced bFGF-triggered activation of FGFR2 as well as increased bFGF-mediated malignant phenotypes. In addition, BGJ398, a selective inhibitor of FGFR, blocked the effects of C1GALT1. These findings suggest that C1GALT1 overexpression modifies O-glycans on FGFR2 and enhances its phosphorylation to promote the invasive behavior and cancer stem-like property in colon cancer cells, indicating a critical role of O-glycosylation in the pathogenesis of colorectal cancer.
PMCID: PMC4039148  PMID: 24758762
glycosylation; receptor tyrosine kinase; colorectal cancer
4.  Helicobacter pylori isolates from ethnic minority patients in Guangxi: Resistance rates, mechanisms, and genotype 
AIM: To investigate the rate of Helicobacter pylori (H. pylori) resistance to clarithromycin among ethnic minority patients in Guangxi, explore the underlying mechanisms, and analyze factors influencing genotype distribution of H. pylori isolates.
METHODS: H. pylori strains were isolated, cultured and subjected to drug sensitivity testing. The 23S rRNA gene of H. pylori isolates was amplified by PCR and analyzed by PCR-RFLP and direct sequencing to detect point mutations. REP-PCR was used for genotyping of H. pylori isolates, and NTsys_2 software was used for clustering analysis based on REP-PCR DNA fingerprints. Factors potentially influencing genotype distribution of H. pylori isolates were analyzed.
RESULTS: The rate of clarithromycin resistance was 31.3%. A2143G and A2144G mutations were detected in the 23S rRNA gene of all clarithromycin-resistant H. pylori isolates. At a genetic distance of 78%, clarithromycin-resistant H. pylori isolates could be divided into six groups. Significant clustering was noted among H. pylori isolates from patients with peptic ulcer or gastritis.
CONCLUSION: The rate of clarithromycin resistance is relatively high in ethnic minority patients in Guangxi. Main mechanisms of clarithromycin resistance are A2143G and A2144G mutations in the 23S rRNA gene. Clarithromycin-resistant H. pylori isolates can be divided into six groups based on REP-PCR DNA fingerprints. Several factors such as disease type may influence the genotype distribution of H. pylori isolates.
PMCID: PMC4000514  PMID: 24782630
Helicobacter pylori; Antibiotic resistance; Mechanism; Clarithromycin; Genotype
5.  Recovery of neurological function of ischemic stroke by application of conditioned medium of bone marrow mesenchymal stem cells derived from normal and cerebral ischemia rats 
Several lines of evidence have demonstrated that bone marrow-derived mesenchymal stem cells (BM-MSC) release bioactive factors and provide neuroprotection for CNS injury. However, it remains elusive whether BM-MSC derived from healthy donors or stroke patients provides equal therapeutic potential. The present work aims to characterize BM-MSC prepared from normal healthy rats (NormBM-MSC) and cerebral ischemia rats (IschBM-MSC), and examine the effects of their conditioned medium (Cm) on ischemic stroke animal model.
Isolated NormBM-MSC or IschBM-MSC formed fibroblastic like morphology and expressed CD29, CD90 and CD44 but failed to express the hematopoietic marker CD34. The number of colony formation of BM-MSC was more abundant in IschBM-MSC than in NormBM-MSC. This is in contrast to the amount of Ficoll-fractionated mononuclear cells from normal donor and ischemic rats. The effect of cm of BM-MSC was further examined in cultures and in middle cerebral artery occlusion (MCAo) animal model. Both NormBM-MSC Cm and IschBM-MSC Cm effectively increased neuronal connection and survival in mixed neuron-glial cultures. In vivo, intravenous infusion of NormBM-MSC Cm and IschBM-MSC Cm after stroke onset remarkably improved functional recovery. Furthermore, NormBM-MSC Cm and IschBM-MSC Cm increased neurogenesis and attenuated microglia/ macrophage infiltration in MCAo rat brains.
Our data suggest equal effectiveness of BM-MSC Cm derived from ischemic animals or from a normal population. Our results thus revealed the potential of BM-MSC Cm on treatment of ischemic stroke.
PMCID: PMC3922747  PMID: 24447306
Mesenchymal stem cells; Conditioned medium; Neuronal cultures; Ischemic stroke; Neuroprotection; Cell surface markers
6.  Space electric field concentrated effect for Zr:SiO2 RRAM devices using porous SiO2 buffer layer 
Nanoscale Research Letters  2013;8(1):523.
To improve the operation current lowing of the Zr:SiO2 RRAM devices, a space electric field concentrated effect established by the porous SiO2 buffer layer was investigated and found in this study. The resistive switching properties of the low-resistance state (LRS) and high-resistance state (HRS) in resistive random access memory (RRAM) devices for the single-layer Zr:SiO2 and bilayer Zr:SiO2/porous SiO2 thin films were analyzed and discussed. In addition, the original space charge limited current (SCLC) conduction mechanism in LRS and HRS of the RRAM devices using bilayer Zr:SiO2/porous SiO2 thin films was found. Finally, a space electric field concentrated effect in the bilayer Zr:SiO2/porous SiO2 RRAM devices was also explained and verified by the COMSOL Multiphysics simulation model.
PMCID: PMC3881491  PMID: 24330524
RRAM; Porous SiO2; Space charge limited current; Zr
7.  Comprehensive profiling of Epstein-Barr virus-encoded miRNA species associated with specific latency types in tumor cells 
Virology Journal  2013;10:314.
Epstein-Barr virus (EBV) is an etiological cause of many human lymphocytic and epithelial malignancies. EBV expresses different genes that are associated with three latency types. To date, as many as 44 EBV-encoded miRNA species have been found, but their comprehensive profiles in the three types of latent infection that are associated with various types of tumors are not well documented.
In the present study, we utilized poly (A)-tailed quantitative real-time RT-PCR in combination with microarray analysis to measure the relative abundances of viral miRNA species in a subset of representative lymphoid and epithelial tumor cells with various EBV latency types.
Our findings showed that the miR-BHRF1 and miR-BART families were expressed differentially in a tissue- and latency type-dependent manner. Specifically, in nasopharyngeal carcinoma (NPC) tissues and the EBV-positive cell line C666-1, the miR-BART family accounted for more than 10% of all detected miRNAs, suggesting that these miRNAs have important roles in maintaining latent EBV infections and in driving NPC tumorigenesis. In addition, EBV miRNA-based clustering analysis clearly distinguished between the three distinct EBV latency types, and our results suggested that a switch from type I to type III latency might occur in the Daudi BL cell line.
Our data provide a comprehensive profiling of the EBV miRNA transcriptome that is associated with specific tumor cells in the three types of latent EBV infection states. EBV miRNA species represent a cluster of non-encoding latency biomarkers that are differentially expressed in tumor cells and may help to distinguish between the different latency types.
PMCID: PMC4231337  PMID: 24161012
Epstein-Barr virus; Viral microRNA; Latency types; Nasopharyngeal carcinoma; Burkitt’s lymphoma
8.  Epstein-Barr Virus_Encoded LMP1 Upregulates MicroRNA-21 to Promote the Resistance of Nasopharyngeal Carcinoma Cells to Cisplatin-Induced Apoptosis by Suppressing PDCD4 and Fas-L  
PLoS ONE  2013;8(10):e78355.
Approximately 30% of patients with Epstein-Barr virus (EBV)-positive advanced nasopharyngeal carcinoma (NPC) display chemoresistance to cisplatin-based regimens, but the underlying mechanisms are unclear. The Epstein-Barr virus (EBV)-encoded latent membrane protein 1 (LMP1), a functional homologue of the tumor necrosis factor receptor family, contributes substantially to the oncogenic potential of EBV through the activation of multiple signaling pathways, and it is closely associated with a poorer prognosis for NPC. Recent studies show that EBV infection can induce the expression of many cellular miRNAs, including microRNA-21, a biomarker for chemoresistance. However, neither a link between LMP1 expression and miR-21 upregulation nor their cross talk in affecting chemoresistance to cisplatin have been reported. Here, we observed that stable LMP1-transformed NPC cells were less sensitive to cisplatin treatment based on their proliferation, colony formation, the IC50 value of cisplatin and the apoptosis index. Higher levels of miR-21 were found in EBV-carrying and LMP1-positive cell lines, suggesting that LMP1 may be linked to miR-21 upregulation. These data were confirmed by our results that exogenous LMP1 increased miR-21 in both transiently and stably LMP1-transfected cells, and the knock down of miR-21 substantially reversed the resistance of the NPC cells to cisplatin treatment. Moreover, the proapoptotic factors programmed cell death 4 (PDCD4) and Fas ligand (Fas-L), which were negatively regulated by miR-21, were found to play an important role in the program of LMP1-dependent cisplatin resistance. Finally, we demonstrated that LMP1 induced miR-21 expression primarily by modulating the PI3K/AKT/FOXO3a signaling pathway. Taken together, we revealed for the first time that viral LMP1 triggers the PI3K/Akt/FOXO3a pathway to induce human miR-21 expression, which subsequently decreases the expression of PDCD4 and Fas-L, and results in chemoresistance in NPC cells.
PMCID: PMC3806812  PMID: 24194922
9.  Guidelines for the use and interpretation of assays for monitoring autophagy 
Klionsky, Daniel J. | Abdalla, Fabio C. | Abeliovich, Hagai | Abraham, Robert T. | Acevedo-Arozena, Abraham | Adeli, Khosrow | Agholme, Lotta | Agnello, Maria | Agostinis, Patrizia | Aguirre-Ghiso, Julio A. | Ahn, Hyung Jun | Ait-Mohamed, Ouardia | Ait-Si-Ali, Slimane | Akematsu, Takahiko | Akira, Shizuo | Al-Younes, Hesham M. | Al-Zeer, Munir A. | Albert, Matthew L. | Albin, Roger L. | Alegre-Abarrategui, Javier | Aleo, Maria Francesca | Alirezaei, Mehrdad | Almasan, Alexandru | Almonte-Becerril, Maylin | Amano, Atsuo | Amaravadi, Ravi K. | Amarnath, Shoba | Amer, Amal O. | Andrieu-Abadie, Nathalie | Anantharam, Vellareddy | Ann, David K. | Anoopkumar-Dukie, Shailendra | Aoki, Hiroshi | Apostolova, Nadezda | Arancia, Giuseppe | Aris, John P. | Asanuma, Katsuhiko | Asare, Nana Y.O. | Ashida, Hisashi | Askanas, Valerie | Askew, David S. | Auberger, Patrick | Baba, Misuzu | Backues, Steven K. | Baehrecke, Eric H. | Bahr, Ben A. | Bai, Xue-Yuan | Bailly, Yannick | Baiocchi, Robert | Baldini, Giulia | Balduini, Walter | Ballabio, Andrea | Bamber, Bruce A. | Bampton, Edward T.W. | Juhász, Gábor | Bartholomew, Clinton R. | Bassham, Diane C. | Bast, Robert C. | Batoko, Henri | Bay, Boon-Huat | Beau, Isabelle | Béchet, Daniel M. | Begley, Thomas J. | Behl, Christian | Behrends, Christian | Bekri, Soumeya | Bellaire, Bryan | Bendall, Linda J. | Benetti, Luca | Berliocchi, Laura | Bernardi, Henri | Bernassola, Francesca | Besteiro, Sébastien | Bhatia-Kissova, Ingrid | Bi, Xiaoning | Biard-Piechaczyk, Martine | Blum, Janice S. | Boise, Lawrence H. | Bonaldo, Paolo | Boone, David L. | Bornhauser, Beat C. | Bortoluci, Karina R. | Bossis, Ioannis | Bost, Frédéric | Bourquin, Jean-Pierre | Boya, Patricia | Boyer-Guittaut, Michaël | Bozhkov, Peter V. | Brady, Nathan R | Brancolini, Claudio | Brech, Andreas | Brenman, Jay E. | Brennand, Ana | Bresnick, Emery H. | Brest, Patrick | Bridges, Dave | Bristol, Molly L. | Brookes, Paul S. | Brown, Eric J. | Brumell, John H. | Brunetti-Pierri, Nicola | Brunk, Ulf T. | Bulman, Dennis E. | Bultman, Scott J. | Bultynck, Geert | Burbulla, Lena F. | Bursch, Wilfried | Butchar, Jonathan P. | Buzgariu, Wanda | Bydlowski, Sergio P. | Cadwell, Ken | Cahová, Monika | Cai, Dongsheng | Cai, Jiyang | Cai, Qian | Calabretta, Bruno | Calvo-Garrido, Javier | Camougrand, Nadine | Campanella, Michelangelo | Campos-Salinas, Jenny | Candi, Eleonora | Cao, Lizhi | Caplan, Allan B. | Carding, Simon R. | Cardoso, Sandra M. | Carew, Jennifer S. | Carlin, Cathleen R. | Carmignac, Virginie | Carneiro, Leticia A.M. | Carra, Serena | Caruso, Rosario A. | Casari, Giorgio | Casas, Caty | Castino, Roberta | Cebollero, Eduardo | Cecconi, Francesco | Celli, Jean | Chaachouay, Hassan | Chae, Han-Jung | Chai, Chee-Yin | Chan, David C. | Chan, Edmond Y. | Chang, Raymond Chuen-Chung | Che, Chi-Ming | Chen, Ching-Chow | Chen, Guang-Chao | Chen, Guo-Qiang | Chen, Min | Chen, Quan | Chen, Steve S.-L. | Chen, WenLi | Chen, Xi | Chen, Xiangmei | Chen, Xiequn | Chen, Ye-Guang | Chen, Yingyu | Chen, Yongqiang | Chen, Yu-Jen | Chen, Zhixiang | Cheng, Alan | Cheng, Christopher H.K. | Cheng, Yan | Cheong, Heesun | Cheong, Jae-Ho | Cherry, Sara | Chess-Williams, Russ | Cheung, Zelda H. | Chevet, Eric | Chiang, Hui-Ling | Chiarelli, Roberto | Chiba, Tomoki | Chin, Lih-Shen | Chiou, Shih-Hwa | Chisari, Francis V. | Cho, Chi Hin | Cho, Dong-Hyung | Choi, Augustine M.K. | Choi, DooSeok | Choi, Kyeong Sook | Choi, Mary E. | Chouaib, Salem | Choubey, Divaker | Choubey, Vinay | Chu, Charleen T. | Chuang, Tsung-Hsien | Chueh, Sheau-Huei | Chun, Taehoon | Chwae, Yong-Joon | Chye, Mee-Len | Ciarcia, Roberto | Ciriolo, Maria R. | Clague, Michael J. | Clark, Robert S.B. | Clarke, Peter G.H. | Clarke, Robert | Codogno, Patrice | Coller, Hilary A. | Colombo, María I. | Comincini, Sergio | Condello, Maria | Condorelli, Fabrizio | Cookson, Mark R. | Coombs, Graham H. | Coppens, Isabelle | Corbalan, Ramon | Cossart, Pascale | Costelli, Paola | Costes, Safia | Coto-Montes, Ana | Couve, Eduardo | Coxon, Fraser P. | Cregg, James M. | Crespo, José L. | Cronjé, Marianne J. | Cuervo, Ana Maria | Cullen, Joseph J. | Czaja, Mark J. | D'Amelio, Marcello | Darfeuille-Michaud, Arlette | Davids, Lester M. | Davies, Faith E. | De Felici, Massimo | de Groot, John F. | de Haan, Cornelis A.M. | De Martino, Luisa | De Milito, Angelo | De Tata, Vincenzo | Debnath, Jayanta | Degterev, Alexei | Dehay, Benjamin | Delbridge, Lea M.D. | Demarchi, Francesca | Deng, Yi Zhen | Dengjel, Jörn | Dent, Paul | Denton, Donna | Deretic, Vojo | Desai, Shyamal D. | Devenish, Rodney J. | Di Gioacchino, Mario | Di Paolo, Gilbert | Di Pietro, Chiara | Díaz-Araya, Guillermo | Díaz-Laviada, Inés | Diaz-Meco, Maria T. | Diaz-Nido, Javier | Dikic, Ivan | Dinesh-Kumar, Savithramma P. | Ding, Wen-Xing | Distelhorst, Clark W. | Diwan, Abhinav | Djavaheri-Mergny, Mojgan | Dokudovskaya, Svetlana | Dong, Zheng | Dorsey, Frank C. | Dosenko, Victor | Dowling, James J. | Doxsey, Stephen | Dreux, Marlène | Drew, Mark E. | Duan, Qiuhong | Duchosal, Michel A. | Duff, Karen E. | Dugail, Isabelle | Durbeej, Madeleine | Duszenko, Michael | Edelstein, Charles L. | Edinger, Aimee L. | Egea, Gustavo | Eichinger, Ludwig | Eissa, N. Tony | Ekmekcioglu, Suhendan | El-Deiry, Wafik S. | Elazar, Zvulun | Elgendy, Mohamed | Ellerby, Lisa M. | Eng, Kai Er | Engelbrecht, Anna-Mart | Engelender, Simone | Erenpreisa, Jekaterina | Escalante, Ricardo | Esclatine, Audrey | Eskelinen, Eeva-Liisa | Espert, Lucile | Espina, Virginia | Fan, Huizhou | Fan, Jia | Fan, Qi-Wen | Fan, Zhen | Fang, Shengyun | Fang, Yongqi | Fanto, Manolis | Fanzani, Alessandro | Farkas, Thomas | Farre, Jean-Claude | Faure, Mathias | Fechheimer, Marcus | Feng, Carl G. | Feng, Jian | Feng, Qili | Feng, Youji | Fésüs, László | Feuer, Ralph | Figueiredo-Pereira, Maria E. | Fimia, Gian Maria | Fingar, Diane C. | Finkbeiner, Steven | Finkel, Toren | Finley, Kim D. | Fiorito, Filomena | Fisher, Edward A. | Fisher, Paul B. | Flajolet, Marc | Florez-McClure, Maria L. | Florio, Salvatore | Fon, Edward A. | Fornai, Francesco | Fortunato, Franco | Fotedar, Rati | Fowler, Daniel H. | Fox, Howard S. | Franco, Rodrigo | Frankel, Lisa B. | Fransen, Marc | Fuentes, José M. | Fueyo, Juan | Fujii, Jun | Fujisaki, Kozo | Fujita, Eriko | Fukuda, Mitsunori | Furukawa, Ruth H. | Gaestel, Matthias | Gailly, Philippe | Gajewska, Malgorzata | Galliot, Brigitte | Galy, Vincent | Ganesh, Subramaniam | Ganetzky, Barry | Ganley, Ian G. | Gao, Fen-Biao | Gao, George F. | Gao, Jinming | Garcia, Lorena | Garcia-Manero, Guillermo | Garcia-Marcos, Mikel | Garmyn, Marjan | Gartel, Andrei L. | Gatti, Evelina | Gautel, Mathias | Gawriluk, Thomas R. | Gegg, Matthew E. | Geng, Jiefei | Germain, Marc | Gestwicki, Jason E. | Gewirtz, David A. | Ghavami, Saeid | Ghosh, Pradipta | Giammarioli, Anna M. | Giatromanolaki, Alexandra N. | Gibson, Spencer B. | Gilkerson, Robert W. | Ginger, Michael L. | Ginsberg, Henry N. | Golab, Jakub | Goligorsky, Michael S. | Golstein, Pierre | Gomez-Manzano, Candelaria | Goncu, Ebru | Gongora, Céline | Gonzalez, Claudio D. | Gonzalez, Ramon | González-Estévez, Cristina | González-Polo, Rosa Ana | Gonzalez-Rey, Elena | Gorbunov, Nikolai V. | Gorski, Sharon | Goruppi, Sandro | Gottlieb, Roberta A. | Gozuacik, Devrim | Granato, Giovanna Elvira | Grant, Gary D. | Green, Kim N. | Gregorc, Ales | Gros, Frédéric | Grose, Charles | Grunt, Thomas W. | Gual, Philippe | Guan, Jun-Lin | Guan, Kun-Liang | Guichard, Sylvie M. | Gukovskaya, Anna S. | Gukovsky, Ilya | Gunst, Jan | Gustafsson, Åsa B. | Halayko, Andrew J. | Hale, Amber N. | Halonen, Sandra K. | Hamasaki, Maho | Han, Feng | Han, Ting | Hancock, Michael K. | Hansen, Malene | Harada, Hisashi | Harada, Masaru | Hardt, Stefan E. | Harper, J. Wade | Harris, Adrian L. | Harris, James | Harris, Steven D. | Hashimoto, Makoto | Haspel, Jeffrey A. | Hayashi, Shin-ichiro | Hazelhurst, Lori A. | He, Congcong | He, You-Wen | Hébert, Marie-Josée | Heidenreich, Kim A. | Helfrich, Miep H. | Helgason, Gudmundur V. | Henske, Elizabeth P. | Herman, Brian | Herman, Paul K. | Hetz, Claudio | Hilfiker, Sabine | Hill, Joseph A. | Hocking, Lynne J. | Hofman, Paul | Hofmann, Thomas G. | Höhfeld, Jörg | Holyoake, Tessa L. | Hong, Ming-Huang | Hood, David A. | Hotamisligil, Gökhan S. | Houwerzijl, Ewout J. | Høyer-Hansen, Maria | Hu, Bingren | Hu, Chien-an A. | Hu, Hong-Ming | Hua, Ya | Huang, Canhua | Huang, Ju | Huang, Shengbing | Huang, Wei-Pang | Huber, Tobias B. | Huh, Won-Ki | Hung, Tai-Ho | Hupp, Ted R. | Hur, Gang Min | Hurley, James B. | Hussain, Sabah N.A. | Hussey, Patrick J. | Hwang, Jung Jin | Hwang, Seungmin | Ichihara, Atsuhiro | Ilkhanizadeh, Shirin | Inoki, Ken | Into, Takeshi | Iovane, Valentina | Iovanna, Juan L. | Ip, Nancy Y. | Isaka, Yoshitaka | Ishida, Hiroyuki | Isidoro, Ciro | Isobe, Ken-ichi | Iwasaki, Akiko | Izquierdo, Marta | Izumi, Yotaro | Jaakkola, Panu M. | Jäättelä, Marja | Jackson, George R. | Jackson, William T. | Janji, Bassam | Jendrach, Marina | Jeon, Ju-Hong | Jeung, Eui-Bae | Jiang, Hong | Jiang, Hongchi | Jiang, Jean X. | Jiang, Ming | Jiang, Qing | Jiang, Xuejun | Jiang, Xuejun | Jiménez, Alberto | Jin, Meiyan | Jin, Shengkan V. | Joe, Cheol O. | Johansen, Terje | Johnson, Daniel E. | Johnson, Gail V.W. | Jones, Nicola L. | Joseph, Bertrand | Joseph, Suresh K. | Joubert, Annie M. | Juhász, Gábor | Juillerat-Jeanneret, Lucienne | Jung, Chang Hwa | Jung, Yong-Keun | Kaarniranta, Kai | Kaasik, Allen | Kabuta, Tomohiro | Kadowaki, Motoni | Kågedal, Katarina | Kamada, Yoshiaki | Kaminskyy, Vitaliy O. | Kampinga, Harm H. | Kanamori, Hiromitsu | Kang, Chanhee | Kang, Khong Bee | Kang, Kwang Il | Kang, Rui | Kang, Yoon-A | Kanki, Tomotake | Kanneganti, Thirumala-Devi | Kanno, Haruo | Kanthasamy, Anumantha G. | Kanthasamy, Arthi | Karantza, Vassiliki | Kaushal, Gur P. | Kaushik, Susmita | Kawazoe, Yoshinori | Ke, Po-Yuan | Kehrl, John H. | Kelekar, Ameeta | Kerkhoff, Claus | Kessel, David H. | Khalil, Hany | Kiel, Jan A.K.W. | Kiger, Amy A. | Kihara, Akio | Kim, Deok Ryong | Kim, Do-Hyung | Kim, Dong-Hou | Kim, Eun-Kyoung | Kim, Hyung-Ryong | Kim, Jae-Sung | Kim, Jeong Hun | Kim, Jin Cheon | Kim, John K. | Kim, Peter K. | Kim, Seong Who | Kim, Yong-Sun | Kim, Yonghyun | Kimchi, Adi | Kimmelman, Alec C. | King, Jason S. | Kinsella, Timothy J. | Kirkin, Vladimir | Kirshenbaum, Lorrie A. | Kitamoto, Katsuhiko | Kitazato, Kaio | Klein, Ludger | Klimecki, Walter T. | Klucken, Jochen | Knecht, Erwin | Ko, Ben C.B. | Koch, Jan C. | Koga, Hiroshi | Koh, Jae-Young | Koh, Young Ho | Koike, Masato | Komatsu, Masaaki | Kominami, Eiki | Kong, Hee Jeong | Kong, Wei-Jia | Korolchuk, Viktor I. | Kotake, Yaichiro | Koukourakis, Michael I. | Flores, Juan B. Kouri | Kovács, Attila L. | Kraft, Claudine | Krainc, Dimitri | Krämer, Helmut | Kretz-Remy, Carole | Krichevsky, Anna M. | Kroemer, Guido | Krüger, Rejko | Krut, Oleg | Ktistakis, Nicholas T. | Kuan, Chia-Yi | Kucharczyk, Roza | Kumar, Ashok | Kumar, Raj | Kumar, Sharad | Kundu, Mondira | Kung, Hsing-Jien | Kurz, Tino | Kwon, Ho Jeong | La Spada, Albert R. | Lafont, Frank | Lamark, Trond | Landry, Jacques | Lane, Jon D. | Lapaquette, Pierre | Laporte, Jocelyn F. | László, Lajos | Lavandero, Sergio | Lavoie, Josée N. | Layfield, Robert | Lazo, Pedro A. | Le, Weidong | Le Cam, Laurent | Ledbetter, Daniel J. | Lee, Alvin J.X. | Lee, Byung-Wan | Lee, Gyun Min | Lee, Jongdae | lee, Ju-hyun | Lee, Michael | Lee, Myung-Shik | Lee, Sug Hyung | Leeuwenburgh, Christiaan | Legembre, Patrick | Legouis, Renaud | Lehmann, Michael | Lei, Huan-Yao | Lei, Qun-Ying | Leib, David A. | Leiro, José | Lemasters, John J. | Lemoine, Antoinette | Lesniak, Maciej S. | Lev, Dina | Levenson, Victor V. | Levine, Beth | Levy, Efrat | Li, Faqiang | Li, Jun-Lin | Li, Lian | Li, Sheng | Li, Weijie | Li, Xue-Jun | Li, Yan-Bo | Li, Yi-Ping | Liang, Chengyu | Liang, Qiangrong | Liao, Yung-Feng | Liberski, Pawel P. | Lieberman, Andrew | Lim, Hyunjung J. | Lim, Kah-Leong | Lim, Kyu | Lin, Chiou-Feng | Lin, Fu-Cheng | Lin, Jian | Lin, Jiandie D. | Lin, Kui | Lin, Wan-Wan | Lin, Weei-Chin | Lin, Yi-Ling | Linden, Rafael | Lingor, Paul | Lippincott-Schwartz, Jennifer | Lisanti, Michael P. | Liton, Paloma B. | Liu, Bo | Liu, Chun-Feng | Liu, Kaiyu | Liu, Leyuan | Liu, Qiong A. | Liu, Wei | Liu, Young-Chau | Liu, Yule | Lockshin, Richard A. | Lok, Chun-Nam | Lonial, Sagar | Loos, Benjamin | Lopez-Berestein, Gabriel | López-Otín, Carlos | Lossi, Laura | Lotze, Michael T. | Low, Peter | Lu, Binfeng | Lu, Bingwei | Lu, Bo | Lu, Zhen | Luciano, Fréderic | Lukacs, Nicholas W. | Lund, Anders H. | Lynch-Day, Melinda A. | Ma, Yong | Macian, Fernando | MacKeigan, Jeff P. | Macleod, Kay F. | Madeo, Frank | Maiuri, Luigi | Maiuri, Maria Chiara | Malagoli, Davide | Malicdan, May Christine V. | Malorni, Walter | Man, Na | Mandelkow, Eva-Maria | Manon, Stephen | Manov, Irena | Mao, Kai | Mao, Xiang | Mao, Zixu | Marambaud, Philippe | Marazziti, Daniela | Marcel, Yves L. | Marchbank, Katie | Marchetti, Piero | Marciniak, Stefan J. | Marcondes, Mateus | Mardi, Mohsen | Marfe, Gabriella | Mariño, Guillermo | Markaki, Maria | Marten, Mark R. | Martin, Seamus J. | Martinand-Mari, Camille | Martinet, Wim | Martinez-Vicente, Marta | Masini, Matilde | Matarrese, Paola | Matsuo, Saburo | Matteoni, Raffaele | Mayer, Andreas | Mazure, Nathalie M. | McConkey, David J. | McConnell, Melanie J. | McDermott, Catherine | McDonald, Christine | McInerney, Gerald M. | McKenna, Sharon L. | McLaughlin, BethAnn | McLean, Pamela J. | McMaster, Christopher R. | McQuibban, G. Angus | Meijer, Alfred J. | Meisler, Miriam H. | Meléndez, Alicia | Melia, Thomas J. | Melino, Gerry | Mena, Maria A. | Menendez, Javier A. | Menna-Barreto, Rubem F. S. | Menon, Manoj B. | Menzies, Fiona M. | Mercer, Carol A. | Merighi, Adalberto | Merry, Diane E. | Meschini, Stefania | Meyer, Christian G. | Meyer, Thomas F. | Miao, Chao-Yu | Miao, Jun-Ying | Michels, Paul A.M. | Michiels, Carine | Mijaljica, Dalibor | Milojkovic, Ana | Minucci, Saverio | Miracco, Clelia | Miranti, Cindy K. | Mitroulis, Ioannis | Miyazawa, Keisuke | Mizushima, Noboru | Mograbi, Baharia | Mohseni, Simin | Molero, Xavier | Mollereau, Bertrand | Mollinedo, Faustino | Momoi, Takashi | Monastyrska, Iryna | Monick, Martha M. | Monteiro, Mervyn J. | Moore, Michael N. | Mora, Rodrigo | Moreau, Kevin | Moreira, Paula I. | Moriyasu, Yuji | Moscat, Jorge | Mostowy, Serge | Mottram, Jeremy C. | Motyl, Tomasz | Moussa, Charbel E.-H. | Müller, Sylke | Muller, Sylviane | Münger, Karl | Münz, Christian | Murphy, Leon O. | Murphy, Maureen E. | Musarò, Antonio | Mysorekar, Indira | Nagata, Eiichiro | Nagata, Kazuhiro | Nahimana, Aimable | Nair, Usha | Nakagawa, Toshiyuki | Nakahira, Kiichi | Nakano, Hiroyasu | Nakatogawa, Hitoshi | Nanjundan, Meera | Naqvi, Naweed I. | Narendra, Derek P. | Narita, Masashi | Navarro, Miguel | Nawrocki, Steffan T. | Nazarko, Taras Y. | Nemchenko, Andriy | Netea, Mihai G. | Neufeld, Thomas P. | Ney, Paul A. | Nezis, Ioannis P. | Nguyen, Huu Phuc | Nie, Daotai | Nishino, Ichizo | Nislow, Corey | Nixon, Ralph A. | Noda, Takeshi | Noegel, Angelika A. | Nogalska, Anna | Noguchi, Satoru | Notterpek, Lucia | Novak, Ivana | Nozaki, Tomoyoshi | Nukina, Nobuyuki | Nürnberger, Thorsten | Nyfeler, Beat | Obara, Keisuke | Oberley, Terry D. | Oddo, Salvatore | Ogawa, Michinaga | Ohashi, Toya | Okamoto, Koji | Oleinick, Nancy L. | Oliver, F. Javier | Olsen, Laura J. | Olsson, Stefan | Opota, Onya | Osborne, Timothy F. | Ostrander, Gary K. | Otsu, Kinya | Ou, Jing-hsiung James | Ouimet, Mireille | Overholtzer, Michael | Ozpolat, Bulent | Paganetti, Paolo | Pagnini, Ugo | Pallet, Nicolas | Palmer, Glen E. | Palumbo, Camilla | Pan, Tianhong | Panaretakis, Theocharis | Pandey, Udai Bhan | Papackova, Zuzana | Papassideri, Issidora | Paris, Irmgard | Park, Junsoo | Park, Ohkmae K. | Parys, Jan B. | Parzych, Katherine R. | Patschan, Susann | Patterson, Cam | Pattingre, Sophie | Pawelek, John M. | Peng, Jianxin | Perlmutter, David H. | Perrotta, Ida | Perry, George | Pervaiz, Shazib | Peter, Matthias | Peters, Godefridus J. | Petersen, Morten | Petrovski, Goran | Phang, James M. | Piacentini, Mauro | Pierre, Philippe | Pierrefite-Carle, Valérie | Pierron, Gérard | Pinkas-Kramarski, Ronit | Piras, Antonio | Piri, Natik | Platanias, Leonidas C. | Pöggeler, Stefanie | Poirot, Marc | Poletti, Angelo | Poüs, Christian | Pozuelo-Rubio, Mercedes | Prætorius-Ibba, Mette | Prasad, Anil | Prescott, Mark | Priault, Muriel | Produit-Zengaffinen, Nathalie | Progulske-Fox, Ann | Proikas-Cezanne, Tassula | Przedborski, Serge | Przyklenk, Karin | Puertollano, Rosa | Puyal, Julien | Qian, Shu-Bing | Qin, Liang | Qin, Zheng-Hong | Quaggin, Susan E. | Raben, Nina | Rabinowich, Hannah | Rabkin, Simon W. | Rahman, Irfan | Rami, Abdelhaq | Ramm, Georg | Randall, Glenn | Randow, Felix | Rao, V. Ashutosh | Rathmell, Jeffrey C. | Ravikumar, Brinda | Ray, Swapan K. | Reed, Bruce H. | Reed, John C. | Reggiori, Fulvio | Régnier-Vigouroux, Anne | Reichert, Andreas S. | Reiners, John J. | Reiter, Russel J. | Ren, Jun | Revuelta, José L. | Rhodes, Christopher J. | Ritis, Konstantinos | Rizzo, Elizete | Robbins, Jeffrey | Roberge, Michel | Roca, Hernan | Roccheri, Maria C. | Rocchi, Stephane | Rodemann, H. Peter | Rodríguez de Córdoba, Santiago | Rohrer, Bärbel | Roninson, Igor B. | Rosen, Kirill | Rost-Roszkowska, Magdalena M. | Rouis, Mustapha | Rouschop, Kasper M.A. | Rovetta, Francesca | Rubin, Brian P. | Rubinsztein, David C. | Ruckdeschel, Klaus | Rucker, Edmund B. | Rudich, Assaf | Rudolf, Emil | Ruiz-Opazo, Nelson | Russo, Rossella | Rusten, Tor Erik | Ryan, Kevin M. | Ryter, Stefan W. | Sabatini, David M. | Sadoshima, Junichi | Saha, Tapas | Saitoh, Tatsuya | Sakagami, Hiroshi | Sakai, Yasuyoshi | Salekdeh, Ghasem Hoseini | Salomoni, Paolo | Salvaterra, Paul M. | Salvesen, Guy | Salvioli, Rosa | Sanchez, Anthony M.J. | Sánchez-Alcázar, José A. | Sánchez-Prieto, Ricardo | Sandri, Marco | Sankar, Uma | Sansanwal, Poonam | Santambrogio, Laura | Saran, Shweta | Sarkar, Sovan | Sarwal, Minnie | Sasakawa, Chihiro | Sasnauskiene, Ausra | Sass, Miklós | Sato, Ken | Sato, Miyuki | Schapira, Anthony H.V. | Scharl, Michael | Schätzl, Hermann M. | Scheper, Wiep | Schiaffino, Stefano | Schneider, Claudio | Schneider, Marion E. | Schneider-Stock, Regine | Schoenlein, Patricia V. | Schorderet, Daniel F. | Schüller, Christoph | Schwartz, Gary K. | Scorrano, Luca | Sealy, Linda | Seglen, Per O. | Segura-Aguilar, Juan | Seiliez, Iban | Seleverstov, Oleksandr | Sell, Christian | Seo, Jong Bok | Separovic, Duska | Setaluri, Vijayasaradhi | Setoguchi, Takao | Settembre, Carmine | Shacka, John J. | Shanmugam, Mala | Shapiro, Irving M. | Shaulian, Eitan | Shaw, Reuben J. | Shelhamer, James H. | Shen, Han-Ming | Shen, Wei-Chiang
Autophagy  2012;8(4):445-544.
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.
PMCID: PMC3404883  PMID: 22966490
LC3; autolysosome; autophagosome; flux; lysosome; phagophore; stress; vacuole
10.  Molecular Markers in Sex Hormone Pathway Genes Associated with the Efficacy of Androgen-Deprivation Therapy for Prostate Cancer 
PLoS ONE  2013;8(1):e54627.
Although most advanced prostate cancer patients respond to androgen-deprivation therapy (ADT), the efficacy is widely variable. We investigated whether the host genetic variations in sex hormone pathway genes are associated with the efficacy of ADT. A cohort of 645 patients with advanced prostate cancer treated with ADT was genotyped for 18 polymorphisms across 12 key genes involved in androgen and estrogen metabolism. We found that after adjusting for known risk factors in multivariate Cox regression models, AKR1C3 rs12529 and AR-CAG repeat length remained significantly associated with prostate cancer-specific mortality (PCSM) after ADT (P≤0.041). Furthermore, individuals carrying two unfavorable genotypes at these loci presented a 13.7-fold increased risk of PCSM compared with individuals carrying zero (P<0.001). Our results identify two candidate molecular markers in key genes of androgen and estrogen pathways associated with PCSM after ADT, establishing the role of pharmacogenomics in this therapy.
PMCID: PMC3554749  PMID: 23359804
11.  The Impact of Influenza Vaccinations on the Adverse Effects and Hospitalization Rate in the Elderly: A National Based Study in an Asian Country 
PLoS ONE  2012;7(11):e50337.
To examine the risk of adverse effects of special interest in persons vaccinated against seasonal influenza compared with unvaccinated persons aged 65 and above.
We retrospectively observed 41,986 vaccinated elderly persons and 50,973 unvaccinated elderly persons in Taiwan from October 1, 2008, through September 30, 2009, using the National Health Insurance database. Neurological and autoimmune disorders and one-year hospitalization rates and in-hospital mortality rates were analyzed according to the vaccination status. Propensity score analysis was used to assess the relationship between adverse outcomes, hospitalization rates, and vaccination status.
45% of the elderly received influenza vaccination. Multiple logistic regression showed that the probability of being vaccinated was related to more patients visiting for URI symptoms (odds ratio (OR), 1.03; 95% CI, 1.02–1.03), men (OR, 1.15; 95% CI, 1.12–1.17), increased age (OR, 1.02; 95% CI, 1.02–1.03), and more comorbidities (OR, 1.2; 95% CI, 1.17–1.23). There were no statistical differences in neurological and autoimmune diseases between the vaccinated and unvaccinated individuals using propensity score analysis, but vaccinated persons had a reduced hospitalization rate of 19% (odds ratio [OR], 0.81; 95% CI, 0.77–0.84) for the first six-months and 13% for one-year of follow-up (OR, 0.87; 95% CI, 0.85–0.9).
Based on data from the one-year follow-ups among 93,049 elderly persons in Taiwan, reassuring results for selected neurological and autoimmune diseases were found among the vaccinated individuals after adjusting other factors. Influenza vaccination decreased the risk for hospitalization. Public health strategies must continue to improve the influenza vaccination rate among the elderly with information based upon tangible evidence.
PMCID: PMC3508921  PMID: 23209714
12.  Non-invasive and transdermal measurement of blood uric acid level in human by electroporation and reverse iontophoresis 
The aim of this study was to find out the optimum combination of electroporation (EP) and reverse iontophoresis (RI) on noninvasive and transdermal determination of blood uric acid level in humans. EP is the use of high-voltage electric pulse to create nano-channels on the stratum corneum, temporarily and reversibly. RI is the use of small current to facilitate both charged and uncharged molecule transportation across the skin. It is believed that the combination of these two techniques has additional benefits on the molecules’ extraction across the human skin. In vitro studies using porcine skin and diffusion cell have indicated that the optimum mode for transdermal uric acid extraction is the combination of RI with symmetrical biphasic direct current (current density = 0.3 mA/cm2; phase duration = 180 s) and EP with 10 pulses per second (voltage = 100 V/cm2; pulse width = 1 ms). This optimum mode was applied to six human subjects. Uric acid was successfully extracted through the subjects’ skin into the collection solution. A good correlation (r2 = 0.88) between the subject’s blood uric acid level and uric acid concentrations in collection solutions was observed. The results suggest that it may be possible to noninvasively and transdermally determine blood uric acid levels.
PMCID: PMC3010161  PMID: 21187918
Reverse iontophoresis; electroporation; uric acid; monitoring; noninvasive; transdermal
13.  Unambiguous molecular detections with multiple genetic approach for the complicated chromosome 22q11 deletion syndrome 
BMC Medical Genetics  2009;10:16.
Chromosome 22q11 deletion syndrome (22q11DS) causes a developmental disorder during the embryonic stage, usually because of hemizygous deletions. The clinical pictures of patients with 22q11DS vary because of polymorphisms: on average, approximately 93% of affected individuals have a de novo deletion of 22q11, and the rest have inherited the same deletion from a parent. Methods using multiple genetic markers are thus important for the accurate detection of these microdeletions.
We studied 12 babies suspected to carry 22q11DS and 18 age-matched healthy controls from unrelated Taiwanese families. We determined genomic variance using microarray-based comparative genomic hybridization (array-CGH), quantitative real-time polymerase chain reaction (qPCR) and multiplex ligation-dependent probe amplification (MLPA).
Changes in genomic copy number were significantly associated with clinical manifestations for the classical criteria of 22q11DS using MPLA and qPCR (p < 0.01). An identical deletion was shown in three affected infants by MLPA. These reduced DNA dosages were also obtained partially using array-CGH and confirmed by qPCR but with some differences in deletion size.
Both MLPA and qPCR could produce a clearly defined range of deleted genomic DNA, whereas there must be a deleted genome that is not distinguishable using MLPA. These data demonstrate that such multiple genetic approaches are necessary for the unambiguous molecular detection of these types of complicated genomic syndromes.
PMCID: PMC2656481  PMID: 19243607
14.  Comparison between the Hybrid Capture II Test and an SPF1/GP6+ PCR-Based Assay for Detection of Human Papillomavirus DNA in Cervical Swab Samples 
Journal of Clinical Microbiology  2006;44(5):1733-1739.
We compared the efficacy of human papillomavirus (HPV) DNA detection between a PCR-based genechip (Easychip HPV Blot [hereafter referred to as HPV Blot]; King Car, Taiwan) method and Hybrid Capture II (HCII; Digene, Gaithersburg, MD) in women with previous normal (n = 146) or abnormal (≥atypical squamous cells of undetermined significance [ASCUS] [n = 208]) cytology. A total of 354 cervical swab samples were collected for HPV DNA assay by both HCII and SPF1/GP6+ PCR followed by HPV Blot tests. Colposcopy-directed biopsy was performed if clinically indicated. Of the 354 samples, HPV-positive rates by these two methods (HCII and HPV Blot) were 12.6% and 18.2% in 143 normal samples, 36.2% and 45.7% in 105 ASCUS samples, 57.4% and 57.4% in 94 low-grade squamous intraepithelial lesion samples, and 83.3% and 75.0% in 12 high-grade squamous intraepithelial lesion samples, respectively. The concordance of HPV Blot and HCII was 80.8% (286/354), and the agreement between the methods (κ value, 0.68) was substantial. Discrepancies were further investigated by at least one of the following three methods: direct sequencing, type-specific PCR, and HPV Blot genotyping of cervical biopsy tissue. In the 15 HCII-positive samples, HPV Blot detected only non-HCII HPV genotypes; results of further verification methods were consistent with the latter test in the 15 samples. Of the 20 samples with HCII-negative and HPV Blot-positive results, 18 were found to contain the 13 HCII high-risk genotypes by verification methods. In only 16.7% (3/18) of the HCII-positive but HPV Blot-negative samples, further studies detected the 13 HCII genotypes. We conclude that HPV Blot seemed comparable to HCII for detection of HPV DNA in cervical swab samples.
PMCID: PMC1479179  PMID: 16672400
15.  The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes 
Nature Communications  2014;5:3930.
Polyploidization has provided much genetic variation for plant adaptive evolution, but the mechanisms by which the molecular evolution of polyploid genomes establishes genetic architecture underlying species differentiation are unclear. Brassica is an ideal model to increase knowledge of polyploid evolution. Here we describe a draft genome sequence of Brassica oleracea, comparing it with that of its sister species B. rapa to reveal numerous chromosome rearrangements and asymmetrical gene loss in duplicated genomic blocks, asymmetrical amplification of transposable elements, differential gene co-retention for specific pathways and variation in gene expression, including alternative splicing, among a large number of paralogous and orthologous genes. Genes related to the production of anticancer phytochemicals and morphological variations illustrate consequences of genome duplication and gene divergence, imparting biochemical and morphological variation to B. oleracea. This study provides insights into Brassica genome evolution and will underpin research into the many important crops in this genus.
Brassica oleracea is plant species comprising economically important vegetable crops. Here, the authors report the draft genome sequence of B. oleracea and, through a comparative analysis with the closely related B. rapa, reveal insights into Brassica evolution and divergence of interspecific genomes and intraspecific subgenomes.
PMCID: PMC4279128  PMID: 24852848
16.  Quantitative Analysis of Respiration-Related Movement for Abdominal Artery in Multiphase Hepatic CT 
PLoS ONE  2014;9(12):e114222.
Respiration-induced motion in the liver causes potential errors on the measurement of contrast medium in abdominal artery from multiphase hepatic CT scans. In this study, we investigated the use of hepatic CT images to quantitatively estimate the abdominal artery motion due to respiration by optical flow method.
Materials and Methods
A total of 132 consecutive patients were included in our patient cohort. We apply the optical flow method to compute the motion of the abdominal artery due to respiration.
The minimum and maximum displacement of the abdominal artery motion were 0.02 and 30.87 mm by manual delineation, 0.03 and 40.75 mm calculated by optical flow method, respectively. Both high consistency and correlation between the present method and the physicians’ manual delineations were acquired with the regression equation of movement, y = 0.81x+0.25, r = 0.95, p<0.001.
We estimated the motion of abdominal artery due to respiration using the optical flow method in multiphase hepatic CT scans and the motion estimations were validated with the visualization of physicians. The quantitative analysis of respiration-related movement of abdominal artery could be used for motion correction in the measurement of contrast medium passing though abdominal artery in multiphase CT liver scans.
PMCID: PMC4275208  PMID: 25536144
17.  Structure-Based Design of 2-Aminopyridine Oxazolidinones as Potent and Selective Tankyrase Inhibitors 
ACS Medicinal Chemistry Letters  2013;4(12):1218-1223.
Aberrant activation of the Wnt pathway has been implicated in the development and formation of many cancers. TNKS inhibition has been shown to antagonize Wnt signaling via Axin stabilization in APC mutant colon cancer cell lines. We employed structure-based design to identify a series of 2-aminopyridine oxazolidinones as potent and selective TNKS inhibitors. These compounds exhibited good enzyme and cell potency as well as selectivity over other PARP isoforms. Co-crystal structures of these 2-aminopyridine oxazolidinones complexed to TNKS reveal an induced-pocket binding mode that does not involve interactions with the nicotinamide binding pocket. Oral dosing of lead compounds 3 and 4 resulted in significant effects on several Wnt-pathway biomarkers in a three day DLD-1 mouse tumor PD model.
PMCID: PMC4027438  PMID: 24900633
Wnt pathway; tankyrase inhibitor; cancer; PARP; 2-aminopyridine oxazolidinone
18.  Dynamics in the resistant and susceptible peanut (Arachis hypogaea L.) root transcriptome on infection with the Ralstonia solanacearum 
BMC Genomics  2014;15(1):1078.
Bacterial wilt caused by Ralstonia solanacearum is a serious soil-borne disease of peanut (Arachis hypogaea L). The molecular basis of peanut response to R. solanacearum remains unknown. To understand the resistance mechanism behind peanut resistance to R. solanacearum, we used RNA-Seq to perform global transcriptome profiling on the roots of peanut resistant (R) and susceptible (S) genotypes under R. solanacearum infection.
A total of 4.95 x 108 raw sequence reads were generated and subsequently assembled into 271, 790 unigenes with an average length of 890 bp and a N50 of 1, 665 bp. 179, 641 unigenes could be annotated by public protein databases. The pairwise transcriptome comparsions of time course (6, 12, 24, 48 and 72 h post inoculation) were conducted 1) between inoculated and control samples of each genotype, 2) between inoculated samples of R and S genotypes. The linear dynamics of transcriptome profile was observed between adjacent samples for each genotype, two genotypes shared similar transcriptome pattern at early time points with most significant up regulation at 12 hour, and samples from R genotype at 24 h and S genotype at 48 h showed similar transcriptome pattern, significant differences of transcriptional profile were observed in pairwise comparisons between R and S genotypes. KEGG analysis showed that the primary metabolisms were inhibited in both genotypes and stronger inhibition in R genotype post inoculation. The defense related genes (R gene, LRR-RLK, cell wall genes, etc.) generally showed a genotype-specific down regulation and different expression between both genotypes.
This transcriptome profiling provided the largest data set that explores the dynamic in crosstalk between peanut and R. solanacearum. The results suggested that the down-regulation of primary metabolism is contributed to the resistance difference between R and S genotypes. The genotype-specific expression pattern of defense related DEGs also contributed to the resistance difference between R and S genotype. This study will strongly contribute to better understand the molecular interaction between plant and R. solanacearum.
Electronic supplementary material
The online version of this article (doi:10.1186/1471-2164-15-1078) contains supplementary material, which is available to authorized users.
PMCID: PMC4300042  PMID: 25481772
Arachis hypogaea L; Ralstonia solanacearum; DEGs; RNA-seq
19.  Gene expression profile of peripheral blood in colorectal cancer 
World Journal of Gastroenterology : WJG  2014;20(39):14463-14471.
AIM: Optimal molecular markers for detecting colorectal cancer (CRC) in a blood-based assay were evaluated.
METHODS: A matched (by variables of age and sex) case-control design (111 CRC and 227 non-cancer samples) was applied. Total RNAs isolated from the 338 blood samples were reverse-transcribed, and the relative transcript levels of candidate genes were analyzed. The training set was made of 162 random samples of the total 338 samples. A logistic regression analysis was performed, and odds ratios for each gene were determined between CRC and non-cancer. The samples (n = 176) in the testing set were used to validate the logistic model, and an inferred performance (generality) was verified. By pooling 12 public microarray datasets(GSE 4107, 4183, 8671, 9348, 10961, 13067, 13294, 13471, 14333, 15960, 17538, and 18105), which included 519 cases of adenocarcinoma and 88 controls of normal mucosa, we were able to verify the selected genes from logistic models and estimate their external generality.
RESULTS: The logistic regression analysis resulted in the selection of five significant genes (P < 0.05; MDM2, DUSP6, CPEB4, MMD, and EIF2S3), with odds ratios of 2.978, 6.029, 3.776, 0.538 and 0.138, respectively. The five-gene model performed stably for the discrimination of CRC cases from controls in the training set, with accuracies ranging from 73.9% to 87.0%, a sensitivity of 95% and a specificity of 95%. In addition, a good performance in the test set was obtained using the discrimination model, providing 83.5% accuracy, 66.0% sensitivity, 92.0% specificity, a positive predictive value of 89.2% and a negative predictive value of 73.0%. Multivariate logistic regressions analyzed 12 pooled public microarray data sets as an external validation. Models that provided similar expected and observed event rates in subgroups were termed well calibrated. A model in which MDM2, DUSP6, CPEB4, MMD, and EIF2S3 were selected showed the result in logistic regression analysis (H-L P = 0.460, R2= 0.853, AUC = 0.978, accuracy = 0.949, specificity = 0.818 and sensitivity = 0.971).
CONCLUSION: A novel gene expression profile was associated with CRC and can potentially be applied to blood-based detection assays.
PMCID: PMC4202375  PMID: 25339833
Colorectal cancer; Gene expression; Microarray; Internet
20.  Comparison of cardiovascular co-morbidities and CPAP use in patients with positional and non-positional mild obstructive sleep apnea 
BMC Pulmonary Medicine  2014;14(1):153.
This retrospective cohort study aimed to determine if there are differences in cardiovascular co-morbidities, blood pressure (BP) and continuous positive airway pressure (CPAP) use between patients with positional-dependent and nonpositional-dependent obstructive sleep apnea (OSA).
Patients who were referred for overnight polysomnography for suspected OSA between 2007 and 2011 were screened. A total of 371 patients with OSA were included for analysis and divided into six groups according to positional-dependency and severity of OSA: positional mild (n = 52), positional moderate (n = 29), positional severe (n = 24), non-positional mild (n = 18), non-positional moderate (n = 70) and non-positional severe group (n = 178). The six groups were compared for anthropometric and polysomnographic variables, presence of cardiovascular co-morbidities, morning and evening BP and the changes between evening and morning BP, and CPAP device usage patterns.
Demographic and anthropometric variables showed non-positional severe OSA had poor sleep quality and higher morning blood pressures. Positional mild OSA had the lowest cardiovascular co-morbidities. Overall CPAP acceptance was 45.6%. Mild OSA patients had the lowest CPAP acceptance rate (10%), followed by moderate group (37.37%) and severe group (61.88%, P < 0.001). However, the significant difference in CPAP acceptance across OSA severity disappeared when the data was stratified by positional dependency.
This study found that positional mild OSA had less cardiovascular co-morbidities compared with subjects with positional severe OSA. Independent of posture, CPAP acceptance in patients with mild OSA was low, but CPAP compliance was similar in CPAP acceptors regardless of posture dependency of OSA. Since there are increasing evidences of greater cardiovascular risk for untreated mild OSA, improving CPAP acceptance among mild OSA patients may be clinically important regardless of posture dependency.
PMCID: PMC4189203  PMID: 25257571
Obstructive sleep apnea; Positional sleep apnea; Cardiovascular co-morbidities; Hypertension; Continuous positive airway pressure
21.  OncomiR-196 promotes an invasive phenotype in oral cancer through the NME4-JNK-TIMP1-MMP signaling pathway 
Molecular Cancer  2014;13(1):218.
MicroRNA-196 (miR-196), which is highly up-regulated in oral cancer cells, has been reported to be aberrantly expressed in several cancers; however, the significance of miR-196 in oral cancer has not yet been addressed.
Cellular functions in response to miR-196 modulation were examined, including cell growth, migration, invasion and radio/chemosensitivity. Algorithm-based studies were used to identify the regulatory target of miR-196. The miR-196 target gene and downstream molecular mechanisms were confirmed by RT-qPCR, western blot, luciferase reporter and confocal microscopy analyses. miR-196 expression was determined in paired cancer and adjacent normal tissues from oral cancer patients.
Both miR-196a and miR-196b were highly over-expressed in the cancer tissue and correlated with lymph node metastasis (P = 0.001 and P = 0.006, respectively). Functionally, miR-196 actively promoted cell migration and invasion without affecting cell growth. Mechanistically, miR-196 performed it's their function by inhibiting NME4 expression and further activating p-JNK, suppressing TIMP1, and augmenting MMP1/9.
miR-196 contributes to oral cancer by promoting cell migration and invasion. Clinically, miR-196a/b was significantly over-expressed in the cancer tissues and correlated with lymph node metastasis. Thus, our findings provide new knowledge of the underlying mechanism of cancer metastasis. miR-196 may serve as a promising marker for better oral cancer management.
Electronic supplementary material
The online version of this article (doi:10.1186/1476-4598-13-218) contains supplementary material, which is available to authorized users.
PMCID: PMC4176851  PMID: 25233933
miR-196; Cell invasion; NME4; JNK signaling; Oral cancer; Clinical association
22.  Malignancy-associated metabolic profiling of human glioma cell lines using 1H NMR spectroscopy 
Molecular Cancer  2014;13(1):197.
Ambiguity in malignant transformation of glioma has made prognostic diagnosis very challenging. Tumor malignant transformation is closely correlated with specific alterations of the metabolic profile. Exploration of the underlying metabolic alterations in glioma cells of different malignant degree is therefore vital to develop metabolic biomarkers for prognosis monitoring.
We conducted 1H nuclear magnetic resonance (NMR)-based metabolic analysis on cell lines (CHG5, SHG44, U87, U118, U251) developed from gliomas of different malignant grades (WHO II and WHO IV). Several methods were applied to analyze the 1H-NMR spectral data of polar extracts of cell lines and to identify characteristic metabolites, including principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), fuzzy c-means clustering (FCM) analysis and orthogonal projection to latent structure with discriminant analysis (OPLS-DA). The expression analyses of glial fibrillary acidic protein (GFAP) and matrix metal proteinases (MMP-9) were used to assess malignant behaviors of cell lines. GeneGo pathway analysis was used to associate characteristic metabolites with malignant behavior protein markers GFAP and MMP-9.
Stable and distinct metabolic profiles of the five cell lines were obtained. The metabolic profiles of the low malignancy grade group (CHG5, SHG44) were clearly distinguished from those of the high malignancy grade group (U87, U118, U251). Seventeen characteristic metabolites were identified that could distinguish the metabolic profiles of the two groups, nine of which were mapped to processes related to GFAP and MMP-9. Furthermore, the results from both quantitative comparison and metabolic correlation analysis indicated that the significantly altered metabolites were primarily involved in perturbation of metabolic pathways of tricarboxylic acid (TCA) cycle anaplerotic flux, amino acid metabolism, anti-oxidant mechanism and choline metabolism, which could be correlated with the changes in the glioma cells’ malignant behaviors.
Our results reveal the metabolic heterogeneity of glioma cell lines with different degrees of malignancy. The obtained metabolic profiles and characteristic metabolites are closely associated with the malignant features of glioma cells, which may lay the basis for both determining the molecular mechanisms underlying glioma malignant transformation and exploiting non-invasive biomarkers for prognosis monitoring.
Electronic supplementary material
The online version of this article (doi:10.1186/1476-4598-13-197) contains supplementary material, which is available to authorized users.
PMCID: PMC4158044  PMID: 25163530
Glioma cell line; Malignancy; Metabolic profiling; 1H-NMR; Spectroscopy
23.  Reduced expression of autophagy markers correlates with high-risk human papillomavirus infection in human cervical squamous cell carcinoma 
Oncology Letters  2014;8(4):1492-1498.
Infection by an oncogenic human papillomavirus (HPV), in particular HPV16 and 18, is a high risk factor for developing cervical cancer; however, viral infection alone is not sufficient for cancer progression. Autophagy is hypothesized to be an important process during carcinogenesis. The aim of the present study was to investigate the association between autophagy and high-risk HPV (hrHPV) infection in human cervical squamous cell carcinomas (SCCs), and to analyze the clinical significance of this association. Quantum dot (QD)-based immunofluorescence histochemistry was used to detect the expression of autophagy markers, Beclin-1 and microtubule-associated proteins 1A/1B light chain 3B (LC3B) proteins, in 104 cases of cervical cancer (including 80 SCCs and 24 adenocarcinomas) and 20 normal cervical tissues. hrHPV (HPV16/18) infection was detected by QDs based fluorescence in situ hybridization in cervical cancers. The results revealed that the expression levels of Beclin-1 and LC3B were significantly lower in cervical cancer cells when compared with those of normal cervical squamous epithelial cells, and were found to negatively correlate with hrHPV infection. The expression levels of Beclin-1 and LC3B were not associated with age, tumor grade, tumor stage, tumor node metastasis stage or lymph node metastasis. However, a positive correlation was identified between Beclin-1 and LC3B protein expression. In addition, the absence of autophagy in combination with hrHPV infection may accelerate the progression of cervical SCC. In conclusion, decreased expression of Beclin-1 and LC3B may be important in cervical carcinogenesis. The hrHPV-host cell interaction may inhibit autophagy, which may aid virus duplication and infection, as well as cervical cancer development.
PMCID: PMC4156245  PMID: 25202355
autophagy; cervical cancer; beclin-1; light chain 3B; human papilloma virus; quantum dots
24.  Comparison of medical issues in antenatal and perinatal periods in early youth, adolescent, and young adult mothers in Taiwan: a 10-year nationwide study 
Limited information is available concerning investigating the separate effect of teenage childbirth on medical issues in the antenatal and perinatal periods. Therefore, this study aimed to assess medical problems in antenatal and perinatal periods among early youth, adolescent and young adult mothers in Taiwan.
This retrospective population-based cohort study was conducted by using data from Taiwan’s National Health Insurance Research Database. A total of 335,590 mothers aged less than 25 years who had singleton births were identified between 2002 and 2011. Univariate and multivariate logistic regression analyses were conducted to estimate unadjusted and adjusted odds ratios (OR) and 95% confidence intervals (CI) of each medical problem category in the antenatal and perinatal periods.
Compared with mothers aged 20–24 years, adolescents (16–19 years) and early youth mothers (≤15 years), particularly those aged 10–15, had a significantly higher risk of intrauterine growth retardation (IUGR, OR = 1.37, 95% CI: 1.00–1.89) and preterm delivery (OR = 2.98, 95% CI: 2.48–3.58) after adjusting for demographic characteristics and clinical factors. Additionally, adolescents mothers were at an increased risk of anemia (OR = 1.32, 95% CI: 1.24–1.40), oligohydramnios (OR = 1.21, 95% CI: 1.12–1.32), failed labor induction (OR = 1.33, 95% CI: 1.24–1.43), and fetal distress (OR = 1.20, 95% CI: 1.14–1.26) after adjustment.
Not all young mothers in our study experienced the same magnitude of increased medical problems in the antenatal and perinatal periods. However, a sufficiently higher probability of having IUGR and preterm delivery was observed among early youth and adolescent mothers.
PMCID: PMC4129098  PMID: 25092040
Adolescents; Maternal age; Delivery; Medical issues
25.  A systematic review of microRNA expression profiling studies in human gastric cancer 
Cancer Medicine  2014;3(4):878-888.
Gastric cancer (GC) is the second leading cause of global cancer mortality. Most GC patients are diagnosed with advanced-stage disease and show extremely poor prognosis. All of the GC research has a common interest to search for the specific and sensitive biomarkers for early diagnosis of GC. Number of microRNAs play important role in GC. We carried out a systematic review of published miRNA profiling studies that compared the miRNA expression profiles between GC tissues and paired noncancerous gastric tissue. A vote-counting strategy was followed with the collection of information like total number of studies reporting differential expression of miRNA, total number of tissue samples used in the studies, direction of differential expression and fold change. A total of 352 differentially expressed microRNAs were reported in the 14 microRNA expression profiling studies that compared GC tissues with normal tissues with 120 microRNAs reported at least in two studies. In the group of consistently reported microRNAs, miR-21 was reported upregulated in 10 studies followed by miR-25, miR-92, and miR-223 upregulated in eight studies. MiR-375 and miR-148a were found downregulated in six and five studies, respectively, followed by miR-638 in four studies. MiR-107 and miR-103 were reported in nine and eight studies, respectively, but their expression were inconsistent. From this study, the most consistently reported upregulated microRNA was found to be miR-21. This systematic review study of human GC microRNA expression profiling studies would provide information on microRNAs with potential role as the biomarkers in gastric cancer.
PMCID: PMC4303155  PMID: 24902858
Biomarker; gastric cancer; microRNA; miRNA target genes

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