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1.  Genotypic variants at 2q33 and risk of esophageal squamous cell carcinoma in China: a meta-analysis of genome-wide association studies 
Abnet, Christian C. | Wang, Zhaoming | Song, Xin | Hu, Nan | Zhou, Fu-You | Freedman, Neal D. | Li, Xue-Min | Yu, Kai | Shu, Xiao-Ou | Yuan, Jian-Min | Zheng, Wei | Dawsey, Sanford M. | Liao, Linda M. | Lee, Maxwell P. | Ding, Ti | Qiao, You-Lin | Gao, Yu-Tang | Koh, Woon-Puay | Xiang, Yong-Bing | Tang, Ze-Zhong | Fan, Jin-Hu | Chung, Charles C. | Wang, Chaoyu | Wheeler, William | Yeager, Meredith | Yuenger, Jeff | Hutchinson, Amy | Jacobs, Kevin B. | Giffen, Carol A. | Burdett, Laurie | Fraumeni, Joseph F. | Tucker, Margaret A. | Chow, Wong-Ho | Zhao, Xue-Ke | Li, Jiang-Man | Li, Ai-Li | Sun, Liang-Dan | Wei, Wu | Li, Ji-Lin | Zhang, Peng | Li, Hong-Lei | Cui, Wen-Yan | Wang, Wei-Peng | Liu, Zhi-Cai | Yang, Xia | Fu, Wen-Jing | Cui, Ji-Li | Lin, Hong-Li | Zhu, Wen-Liang | Liu, Min | Chen, Xi | Chen, Jie | Guo, Li | Han, Jing-Jing | Zhou, Sheng-Li | Huang, Jia | Wu, Yue | Yuan, Chao | Huang, Jing | Ji, Ai-Fang | Kul, Jian-Wei | Fan, Zhong-Min | Wang, Jian-Po | Zhang, Dong-Yun | Zhang, Lian-Qun | Zhang, Wei | Chen, Yuan-Fang | Ren, Jing-Li | Li, Xiu-Min | Dong, Jin-Cheng | Xing, Guo-Lan | Guo, Zhi-Gang | Yang, Jian-Xue | Mao, Yi-Ming | Yuan, Yuan | Guo, Er-Tao | Zhang, Wei | Hou, Zhi-Chao | Liu, Jing | Li, Yan | Tang, Sa | Chang, Jia | Peng, Xiu-Qin | Han, Min | Yin, Wan-Li | Liu, Ya-Li | Hu, Yan-Long | Liu, Yu | Yang, Liu-Qin | Zhu, Fu-Guo | Yang, Xiu-Feng | Feng, Xiao-Shan | Wang, Zhou | Li, Yin | Gao, She-Gan | Liu, Hai-Lin | Yuan, Ling | Jin, Yan | Zhang, Yan-Rui | Sheyhidin, Ilyar | Li, Feng | Chen, Bao-Ping | Ren, Shu-Wei | Liu, Bin | Li, Dan | Zhang, Gao-Fu | Yue, Wen-Bin | Feng, Chang-Wei | Qige, Qirenwang | Zhao, Jian-Ting | Yang, Wen-Jun | Lei, Guang-Yan | Chen, Long-Qi | Li, En-Min | Xu, Li-Yan | Wu, Zhi-Yong | Bao, Zhi-Qin | Chen, Ji-Li | Li, Xian-Chang | Zhuang, Xiang | Zhou, Ying-Fa | Zuo, Xian-Bo | Dong, Zi-Ming | Wang, Lu-Wen | Fan, Xue-Pin | Wang, Jin | Zhou, Qi | Ma, Guo-Shun | Zhang, Qin-Xian | Liu, Hai | Jian, Xin-Ying | Lian, Sin-Yong | Wang, Jin-Sheng | Chang, Fu-Bao | Lu, Chang-Dong | Miao, Jian-Jun | Chen, Zhi-Guo | Wang, Ran | Guo, Ming | Fan, Zeng-Lin | Tao, Ping | Liu, Tai-Jing | Wei, Jin-Chang | Kong, Qing-Peng | Fan, Lei | Wang, Xian-Zeng | Gao, Fu-Sheng | Wang, Tian-Yun | Xie, Dong | Wang, Li | Chen, Shu-Qing | Yang, Wan-Cai | Hong, Jun-Yan | Wang, Liang | Qiu, Song-Liang | Goldstein, Alisa M. | Yuan, Zhi-Qing | Chanock, Stephen J. | Zhang, Xue-Jun | Taylor, Philip R. | Wang, Li-Dong
Human Molecular Genetics  2012;21(9):2132-2141.
Genome-wide association studies have identified susceptibility loci for esophageal squamous cell carcinoma (ESCC). We conducted a meta-analysis of all single-nucleotide polymorphisms (SNPs) that showed nominally significant P-values in two previously published genome-wide scans that included a total of 2961 ESCC cases and 3400 controls. The meta-analysis revealed five SNPs at 2q33 with P< 5 × 10−8, and the strongest signal was rs13016963, with a combined odds ratio (95% confidence interval) of 1.29 (1.19–1.40) and P= 7.63 × 10−10. An imputation analysis of 4304 SNPs at 2q33 suggested a single association signal, and the strongest imputed SNP associations were similar to those from the genotyped SNPs. We conducted an ancestral recombination graph analysis with 53 SNPs to identify one or more haplotypes that harbor the variants directly responsible for the detected association signal. This showed that the five SNPs exist in a single haplotype along with 45 imputed SNPs in strong linkage disequilibrium, and the strongest candidate was rs10201587, one of the genotyped SNPs. Our meta-analysis found genome-wide significant SNPs at 2q33 that map to the CASP8/ALS2CR12/TRAK2 gene region. Variants in CASP8 have been extensively studied across a spectrum of cancers with mixed results. The locus we identified appears to be distinct from the widely studied rs3834129 and rs1045485 SNPs in CASP8. Future studies of esophageal and other cancers should focus on comprehensive sequencing of this 2q33 locus and functional analysis of rs13016963 and rs10201587 and other strongly correlated variants.
doi:10.1093/hmg/dds029
PMCID: PMC3315211  PMID: 22323360
2.  Alcohol consumption in 0.5 million people from 10 diverse regions of China: prevalence, patterns and socio-demographic and health-related correlates 
Millwood, Iona Y | Li, Liming | Smith, Margaret | Guo, Yu | Yang, Ling | Bian, Zheng | Lewington, Sarah | Whitlock, Gary | Sherliker, Paul | Collins, Rory | Chen, Junshi | Peto, Richard | Wang, Hongmei | Xu, Jiujiu | He, Jian | Yu, Min | Liu, Huilin | Chen, Zhengming | Li, Liming | Chen, Zhengming | Chen, Junshi | Collins, Rory | Wu, Fan | Peto, Richard | Chen, Zhengming | Lancaster, Garry | Yang, Xiaoming | Williams, Alex | Smith, Margaret | Yang, Ling | Chang, Yumei | Millwood, Iona | Chen, Yiping | Zhang, Qiuli | Lewington, Sarah | Whitlock, Gary | Guo, Yu | Zhao, Guoqing | Bian, Zheng | Wu, Lixue | Hou, Can | Pang, Zengchang | Wang, Shaojie | Zhang, Yun | Zhang, Kui | Liu, Silu | Zhao, Zhonghou | Liu, Shumei | Pang, Zhigang | Feng, Weijia | Wu, Shuling | Yang, Liqiu | Han, Huili | He, Hui | Pan, Xianhai | Wang, Shanqing | Wang, Hongmei | Hao, Xinhua | Chen, Chunxing | Lin, Shuxiong | Hu, Xiaoshu | Zhou, Minghao | Wu, Ming | Wang, Yeyuan | Hu, Yihe | Ma, Liangcai | Zhou, Renxian | Xu, Guanqun | Dong, Baiqing | Chen, Naying | Huang, Ying | Li, Mingqiang | Meng, Jinhuai | Gan, Zhigao | Xu, Jiujiu | Liu, Yun | Wu, Xianping | Gao, Yali | Zhang, Ningmei | Luo, Guojin | Que, Xiangsan | Chen, Xiaofang | Ge, Pengfei | He, Jian | Ren, Xiaolan | Zhang, Hui | Mao, Enke | Li, Guanzhong | Li, Zhongxiao | He, Jun | Liu, Guohua | Zhu, Baoyu | Zhou, Gang | Feng, Shixian | Gao, Yulian | He, Tianyou | Jiang, Li | Qin, Jianhua | Sun, Huarong | Liu, Liqun | Yu, Min | Chen, Yaping | Hu, Zhixiang | Hu, Jianjin | Qian, Yijian | Wu, Zhiying | Chen, Lingli | Liu, Wen | Li, Guangchun | Liu, Huilin | Long, Xiangquan | Xiong, Youping | Tan, Zhongwen | Xie, Xuqiu | Peng, Yunfang
Background Drinking alcohol has a long tradition in Chinese culture. However, data on the prevalence and patterns of alcohol consumption in China, and its main correlates, are limited.
Methods During 2004–08 the China Kadoorie Biobank recruited 512 891 men and women aged 30–79 years from 10 urban and rural areas of China. Detailed information on alcohol consumption was collected using a standardized questionnaire, and related to socio-demographic, physical and behavioural characteristics in men and women separately.
Results Overall, 76% of men and 36% of women reported drinking some alcohol during the past 12 months, with 33% of men and 2% of women drinking at least weekly; the prevalence of weekly drinking in men varied from 7% to 51% across the 10 study areas. Mean consumption was 286 g/week and was higher in those with less education. Most weekly drinkers habitually drank spirits, although this varied by area, and beer consumption was highest among younger drinkers; 37% of male weekly drinkers (12% of all men) reported weekly heavy drinking episodes, with the prevalence highest in younger men. Drinking alcohol was positively correlated with regular smoking, blood pressure and heart rate. Among male weekly drinkers, each 20 g/day alcohol consumed was associated with 2 mmHg higher systolic blood pressure. Potential indicators of problem drinking were reported by 24% of male weekly drinkers.
Conclusion The prevalence and patterns of drinking in China differ greatly by age, sex and geographical region. Alcohol consumption is associated with a number of unfavourable health behaviours and characteristics.
doi:10.1093/ije/dyt078
PMCID: PMC3733702  PMID: 23918852
Alcohol; drinking; cohort study; descriptive analysis; China
3.  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.
doi:10.4161/auto.19496
PMCID: PMC3404883  PMID: 22966490
LC3; autolysosome; autophagosome; flux; lysosome; phagophore; stress; vacuole
4.  Genome-wide association study in Han Chinese identifies four new susceptibility loci for coronary artery disease 
Nature genetics  2012;44(8):890-894.
We performed a meta-analysis of 2 genome-wide association studies of coronary artery disease comprising 1,515 cases with coronary artery disease and 5,019 controls, followed by de novo replication studies in 15,460 cases and 11,472 controls, all of Chinese Han descent. We successfully identified four new loci for coronary artery disease reaching genome-wide significance (P < 5 × 10−8), which mapped in or near TTC32-WDR35, GUCY1A3, C6orf10-BTNL2 and ATP2B1. We also replicated four loci previously identified in European populations (PHACTR1, TCF21, CDKN2A/B and C12orf51). These findings provide new insights into biological pathways for the susceptibility of coronary artery disease in Chinese Han population.
doi:10.1038/ng.2337
PMCID: PMC3927410  PMID: 22751097
5.  Associations of Educational Attainment, Occupation, Social Class and Major Depressive Disorder among Han Chinese Women 
PLoS ONE  2014;9(1):e86674.
Background
The prevalence of major depressive disorder (MDD) is higher in those with low levels of educational attainment, the unemployed and those with low social status. However the extent to which these factors cause MDD is unclear. Most of the available data comes from studies in developed countries, and these findings may not extrapolate to developing countries. Examining the relationship between MDD and socio economic status in China is likely to add to the debate because of the radical economic and social changes occurring in China over the last 30 years.
Principal findings
We report results from 3,639 Chinese women with recurrent MDD and 3,800 controls. Highly significant odds ratios (ORs) were observed between MDD and full time employment (OR = 0.36, 95% CI = 0.25–0.46, logP = 78), social status (OR = 0.83, 95% CI = 0.77–0.87, logP = 13.3) and education attainment (OR = 0.90, 95% CI = 0.86–0.90, logP = 6.8). We found a monotonic relationship between increasing age and increasing levels of educational attainment. Those with only primary school education have significantly more episodes of MDD (mean 6.5, P-value = 0.009) and have a clinically more severe disorder, while those with higher educational attainment are likely to manifest more comorbid anxiety disorders.
Conclusions
In China lower socioeconomic position is associated with increased rates of MDD, as it is elsewhere in the world. Significantly more episodes of MDD occur among those with lower educational attainment (rather than longer episodes of disease), consistent with the hypothesis that the lower socioeconomic position increases the likelihood of developing MDD. The phenomenology of MDD varies according to the degree of educational attainment: higher educational attainment not only appears to protect against MDD but alters its presentation, to a more anxious phenotype.
doi:10.1371/journal.pone.0086674
PMCID: PMC3909008  PMID: 24497966
6.  Childhood Sexual Abuse and the Development of Recurrent Major Depression in Chinese Women 
PLoS ONE  2014;9(1):e87569.
Background
Our prior study in Han Chinese women has shown that women with a history of childhood sexual abuse (CSA) are at increased risk for developing major depression (MD). Would this relationship be found in our whole data set?
Method
Three levels of CSA (non-genital, genital, and intercourse) were assessed by self-report in two groups of Han Chinese women: 6017 clinically ascertained with recurrent MD and 5983 matched controls. Diagnostic and other risk factor information was assessed at personal interview. Odds ratios (ORs) were calculated by logistic regression.
Results
We confirmed earlier results by replicating prior analyses in 3,950 new recurrent MD cases. There were no significant differences between the two data sets. Any form of CSA was significantly associated with recurrent MD (OR 4.06, 95% confidence interval (CI) [3.19–5.24]). This association strengthened with increasing CSA severity: non-genital (OR 2.21, 95% CI 1.58–3.15), genital (OR 5.24, 95% CI 3.52–8.15) and intercourse (OR 10.65, 95% CI 5.56–23.71). Among the depressed women, those with CSA had an earlier age of onset, longer depressive episodes. Recurrent MD patients those with CSA had an increased risk for dysthymia (OR 1.60, 95%CI 1.11–2.27) and phobia (OR 1.41, 95%CI 1.09–1.80). Any form of CSA was significantly associated with suicidal ideation or attempt (OR 1.50, 95% CI 1.20–1.89) and feelings of worthlessness or guilt (OR 1.41, 95% CI 1.02–2.02). Intercourse (OR 3.47, 95%CI 1.66–8.22), use of force and threats (OR 1.95, 95%CI 1.05–3.82) and how strongly the victims were affected at the time (OR 1.39, 95%CI 1.20–1.64) were significantly associated with recurrent MD.
Conclusions
In Chinese women CSA is strongly associated with recurrent MD and this association increases with greater severity of CSA. Depressed women with CSA have some specific clinical traits. Some features of CSA were associated with greater likelihood of developing recurrent MD.
doi:10.1371/journal.pone.0087569
PMCID: PMC3906190  PMID: 24489940
7.  Clinical Features of Patients with Dysthymia in a Large Cohort of Han Chinese Women with Recurrent Major Depression 
PLoS ONE  2013;8(12):e83490.
Background
Dysthymia is a form of chronic mild depression that has a complex relationship with major depressive disorder (MDD). Here we investigate the role of environmental risk factors, including stressful life events and parenting style, in patients with both MDD and dysthymia. We ask whether these risk factors act in the same way in MDD with and without dysthymia.
Results
We examined the clinical features in 5,950 Han Chinese women with MDD between 30–60 years of age across China. We confirmed earlier results by replicating prior analyses in 3,950 new MDD cases. There were no significant differences between the two data sets. We identified sixteen stressful life events that significantly increase the risk of dysthymia, given the presence of MDD. Low parental warmth, from either mother or father, increases the risk of dysthymia. Highly threatening but short-lived threats (such as rape) are more specific for MDD than dysthymia. While for MDD more severe life events show the largest odds ratio versus controls, this was not seen for cases of MDD with or without dysthymia.
Conclusions
There are increased rates of stressful life events in MDD with dysthymia, but the impact of life events on susceptibility to dysthymia with MDD differs from that seen for MDD alone. The pattern does not fit a simple dose-response relationship, suggesting that there are moderating factors involved in the relationship between environmental precipitants and the onset of dysthymia. It is possible that severe life events in childhood events index a general susceptibility to chronic depression, rather than acting specifically as risk factors for dysthymia.
doi:10.1371/journal.pone.0083490
PMCID: PMC3873934  PMID: 24386213
8.  Suicidal Risk Factors of Recurrent Major Depression in Han Chinese Women 
PLoS ONE  2013;8(11):e80030.
The relationship between suicidality and major depression is complex. Socio- demography, clinical features, comorbidity, clinical symptoms, and stressful life events are important factors influencing suicide in major depression, but these are not well defined. Thus, the aim of the present study was to assess the associations between the above-mentioned factors and suicide ideation, suicide plan, and suicide attempt in 6008 Han Chinese women with recurrent major depression (MD). Patients with any suicidality had significantly more MD symptoms, a significantly greater number of stressful life events, a positive family history of MD, a greater number of episodes, a significant experience of melancholia, and earlier age of onset. Comorbidity with dysthymia, generalized anxiety disorder (GAD), social phobia, and animal phobia was seen in suicidal patients. The present findings indicate that specific factors act to increase the likelihood of suicide in MD. Our results may help improve the clinical assessment of suicide risk in depressed patients, especially for women.
doi:10.1371/journal.pone.0080030
PMCID: PMC3842272  PMID: 24312196
9.  Childhood sexual abuse and the risk for recurrent major depression in Chinese women 
Psychological Medicine  2011;42(2):409-417.
Background
Studies in Western countries have repeatedly shown that women with a history of childhood sexual abuse (CSA) are at increased risk for developing major depression (MD). Would this relationship be found in China?
Method
Three levels of CSA (non-genital, genital, and intercourse) were assessed by self-report in two groups of Han Chinese women: 1970 clinically ascertained with recurrent MD and 2597 matched controls. Diagnostic and other risk factor information was assessed at personal interview. Odds ratios (ORs) were calculated by logistic regression and regression coefficients by linear or Poisson regression.
Results
Any form of CSA was significantly associated with recurrent MD [OR 3.26, 95% confidence interval (CI) 1.95–5.45]. This association strengthened with increasing CSA severity: non-genital (OR 2.47, 95% CI 1.17–5.23), genital (OR 2.77, 95% CI 1.32–5.83) and intercourse (OR 13.35, 95% CI 1.83–97.42). The association between any form of CSA and MD remained significant after accounting for parental history of depression, childhood emotional neglect (CEN), childhood physical abuse (CPA) and parent–child relationship. Among the depressed women, those with CSA had an earlier age of onset, longer depressive episodes and an increased risk for generalized anxiety disorder (GAD; OR 1.92, 95% CI 1.39–2.66) and dysthymia (OR 2.16, 95% CI 1.52–3.09).
Conclusions
In Chinese women CSA is strongly associated with MD and this association increases with greater severity of CSA. Depressed women with CSA have an earlier age of onset, longer depressive episodes and increased co-morbidity with GAD and dysthymia. Although reporting biases cannot be ruled out, our results are consistent with the hypothesis that, as in Western countries, CSA substantially increases the risk for MD in China.
doi:10.1017/S0033291711001462
PMCID: PMC3250087  PMID: 21835095
Childhood sexual abuse; co-morbidity; major depression
10.  The structure of the symptoms of major depression: exploratory and confirmatory factor analysis in depressed Han Chinese women 
Psychological Medicine  2013;44(7):1391-1401.
Background
The symptoms of major depression (MD) are clinically diverse. Do they form coherent factors that might clarify the underlying nature of this important psychiatric syndrome?
Method
Symptoms at lifetime worst depressive episode were assessed at structured psychiatric interview in 6008 women of Han Chinese descent, age ⩾30 years with recurrent DSM-IV MD. Exploratory factor analysis (EFA) and confirmatoryfactor analysis (CFA) were performed in Mplus in random split-half samples.
Results
The preliminary EFA results were consistently supported by the findings from CFA. Analyses of the nine DSM-IV MD symptomatic A criteria revealed two factors loading on: (i) general depressive symptoms; and (ii) guilt/suicidal ideation. Examining 14 disaggregated DSM-IV criteria revealed three factors reflecting: (i) weight/appetite disturbance; (ii) general depressive symptoms; and (iii) sleep disturbance. Using all symptoms (n = 27), we identified five factors that reflected: (i) weight/appetite symptoms; (ii) general retarded depressive symptoms; (iii) atypical vegetative symptoms; (iv) suicidality/hopelessness; and (v) symptoms of agitation and anxiety.
Conclusions
MD is a clinically complex syndrome with several underlying correlated symptom dimensions. In addition to a general depressive symptom factor, a complete picture must include factors reflecting typical/atypical vegetative symptoms, cognitive symptoms (hopelessness/suicidal ideation), and an agitated symptom factor characterized by anxiety, guilt, helplessness and irritability. Prior cross-cultural studies, factor analyses of MD in Western populations and empirical findings in this sample showing risk factor profiles similar to those seen in Western populations suggest that our results are likely to be broadly representative of the human depressive syndrome.
doi:10.1017/S003329171300192X
PMCID: PMC3967839  PMID: 23920138
Atypical symptoms; China; cognitive symptoms; depression; factor analysis
11.  Metabolic flux responses to genetic modification for shikimic acid production by Bacillus subtilis strains 
Background
Shikimic acid (SA) is a key chiral starting molecule for the synthesis of the neuramidase inhibitor GS4104 against viral influenza. Microbial production of SA has been extensively investigated in Escherichia coli, and to a less extent in Bacillus subtilis. However, metabolic flux of the high SA-producing strains has not been explored. In this study, we constructed with genetic manipulation and further determined metabolic flux with 13C-labeling test of high SA-producing B. subtilis strains.
Results
B. subtilis 1A474 had a mutation in SA kinase gene (aroI) and accumulated 1.5 g/L of SA. Overexpression of plasmid-encoded aroA, aroB, aroC or aroD in B. subtilis revealed that aroD had the most significantly positive effects on SA production. Simultaneous overexpression of genes for 3-deoxy-D-arabinoheptulosonate-7-phosphate synthase (aroA) and SA dehydrogenase (aroD) in B. subtilis BSSA/pSAAroA/pDGSAAroD resulted in SA production of 3.2 g/L. 13C-Metabolic flux assay (MFA) on the two strains BSSA/pHCMC04/pDG148-stu and BSSA/pSAAroA/pDGSAAroD indicated the carbon flux from glucose to SA increased to 4.6% in BSSA/pSAAroA/pDGSAAroD from 1.9% in strain BSSA/pHCMC04/pDG148-stu. The carbon flux through tricarboxylic acid cycle significantly reduced, while responses of the pentose phosphate pathway and the glycolysis to high SA production were rather weak, in the strain BSSA/pSAAroA/pDGSAAroD. Based on the results from MFA, two potential targets for further optimization of SA production were identified. Experiments on genetic deletion of phosphoenoylpyruvate kinase gene confirmed its positive influence on SA production, while the overexpression of the transketolase gene did not lead to increase in SA production.
Conclusion
Of the genes involved in shikimate pathway in B. subtilis, aroD exerted most significant influence on SA accumulation. Overexpression of plasmid-encoded aroA and aroD doubled SA production than its parent strain. MFA revealed metabolic flux redistribution among phosphate pentose pathway, glycolysis, TCA cycle in the low and high SA-producing B. subtilis strains. The high SA producing strain BSSA/pSAAroA/pDGSAAroD had increased carbon flux into shikimate pathway and reduced flux into TCA cycle.
doi:10.1186/1475-2859-13-40
PMCID: PMC4003833  PMID: 24628944
Shikimic acid production; Shikimate pathway; Bacillus subtilis; Metabolic flux assay (MFA); aroA; aroD; tkt; pyk
12.  The sequence and de novo assembly of the giant panda genome 
Li, Ruiqiang | Fan, Wei | Tian, Geng | Zhu, Hongmei | He, Lin | Cai, Jing | Huang, Quanfei | Cai, Qingle | Li, Bo | Bai, Yinqi | Zhang, Zhihe | Zhang, Yaping | Wang, Wen | Li, Jun | Wei, Fuwen | Li, Heng | Jian, Min | Li, Jianwen | Zhang, Zhaolei | Nielsen, Rasmus | Li, Dawei | Gu, Wanjun | Yang, Zhentao | Xuan, Zhaoling | Ryder, Oliver A. | Leung, Frederick Chi-Ching | Zhou, Yan | Cao, Jianjun | Sun, Xiao | Fu, Yonggui | Fang, Xiaodong | Guo, Xiaosen | Wang, Bo | Hou, Rong | Shen, Fujun | Mu, Bo | Ni, Peixiang | Lin, Runmao | Qian, Wubin | Wang, Guodong | Yu, Chang | Nie, Wenhui | Wang, Jinhuan | Wu, Zhigang | Liang, Huiqing | Min, Jiumeng | Wu, Qi | Cheng, Shifeng | Ruan, Jue | Wang, Mingwei | Shi, Zhongbin | Wen, Ming | Liu, Binghang | Ren, Xiaoli | Zheng, Huisong | Dong, Dong | Cook, Kathleen | Shan, Gao | Zhang, Hao | Kosiol, Carolin | Xie, Xueying | Lu, Zuhong | Zheng, Hancheng | Li, Yingrui | Steiner, Cynthia C. | Lam, Tommy Tsan-Yuk | Lin, Siyuan | Zhang, Qinghui | Li, Guoqing | Tian, Jing | Gong, Timing | Liu, Hongde | Zhang, Dejin | Fang, Lin | Ye, Chen | Zhang, Juanbin | Hu, Wenbo | Xu, Anlong | Ren, Yuanyuan | Zhang, Guojie | Bruford, Michael W. | Li, Qibin | Ma, Lijia | Guo, Yiran | An, Na | Hu, Yujie | Zheng, Yang | Shi, Yongyong | Li, Zhiqiang | Liu, Qing | Chen, Yanling | Zhao, Jing | Qu, Ning | Zhao, Shancen | Tian, Feng | Wang, Xiaoling | Wang, Haiyin | Xu, Lizhi | Liu, Xiao | Vinar, Tomas | Wang, Yajun | Lam, Tak-Wah | Yiu, Siu-Ming | Liu, Shiping | Zhang, Hemin | Li, Desheng | Huang, Yan | Wang, Xia | Yang, Guohua | Jiang, Zhi | Wang, Junyi | Qin, Nan | Li, Li | Li, Jingxiang | Bolund, Lars | Kristiansen, Karsten | Wong, Gane Ka-Shu | Olson, Maynard | Zhang, Xiuqing | Li, Songgang | Yang, Huanming | Wang, Jian | Wang, Jun
Nature  2009;463(7279):311-317.
Using next-generation sequencing technology alone, we have successfully generated and assembled a draft sequence of the giant panda genome. The assembled contigs (2.25 gigabases (Gb)) cover approximately 94% of the whole genome, and the remaining gaps (0.05 Gb) seem to contain carnivore-specific repeats and tandem repeats. Comparisons with the dog and human showed that the panda genome has a lower divergence rate. The assessment of panda genes potentially underlying some of its unique traits indicated that its bamboo diet might be more dependent on its gut microbiome than its own genetic composition. We also identified more than 2.7 million heterozygous single nucleotide polymorphisms in the diploid genome. Our data and analyses provide a foundation for promoting mammalian genetic research, and demonstrate the feasibility for using next-generation sequencing technologies for accurate, cost-effective and rapid de novo assembly of large eukaryotic genomes.
doi:10.1038/nature08696
PMCID: PMC3951497  PMID: 20010809
14.  Dynamic changes of HBV markers and HBV DNA load in infants born to HBsAg(+) mothers: can positivity of HBsAg or HBV DNA at birth be an indicator for HBV infection of infants? 
BMC Infectious Diseases  2013;13:524.
Background
Neither HBV DNA nor HBsAg positivity at birth is an accurate marker for HBV infection of infants. No data is available for continuous changes of HBV markers in newborns to HBsAg(+) mothers. This prospective, multi-centers study aims at observing the dynamic changes of HBV markers and exploring an early diagnostic marker for mother-infant infection.
Methods
One hundred forty-eight HBsAg(+) mothers and their newborns were enrolled after mothers signed the informed consent forms. Those infants were received combination immunoprophylaxis (hepatitis B immunoglobulin [HBIG] and hepatitis B vaccine) at birth, and then followed up to 12 months. Venous blood of the infants (0, 1, 7, and 12 months of age) was collected to test for HBV DNA and HBV markers.
Results
Of the 148 infants enrolled in our study, 41 and 24 infants were detected as HBsAg(+) and HBV DNA(+) at birth, respectively. Nine were diagnosed with HBV infection after 7 mo follow-up. Dynamic observation of the HBV markers showed that HBV DNA and HBsAg decreased gradually and eventually sero-converted to negativity in the non-infected infants, whereas in the infected infants, HBV DNA and HBsAg were persistently positive, or higher at the end of follow-up. At 1 mo, the infants with anti-HBs(+), despite positivity for HBsAg or HBV DNA at birth, were resolved after 12 mo follow-up, whereas all the nine infants with anti-HBs(−) were diagnosed with HBV infection. Anti-HBs(−) at 1 mo showed a higher positive likelihood ratio for HBV mother-infant infection than HBV DNA and/or HBsAg at birth.
Conclusions
Negativity for anti-HBs at 1 mo can be considered as a sensitive and early diagnostic indictor for HBV infection in the infants with positive HBV DNA and HBsAg at birth, especially for those infants with low levels of HBV DNA load and HBsAg titer.
doi:10.1186/1471-2334-13-524
PMCID: PMC3829094  PMID: 24195671
15.  Effective modulation of CD4+CD25+high regulatory T and NK cells in malignant patients by combination of interferon-α and interleukin-2 
Cancer Immunology, Immunotherapy  2012;61(12):2357-2366.
Overinduced CD4+CD25+high regulatory T cells (Treg) and downregulated NK cells contribute to tumor-relevant immune tolerance and interfere with tumor immunity. In this study, we aimed to design a novel strategy with cytokine combination to correct the dysregulated Treg and NK cells in malignant patients. Initially, a total of 58 healthy individuals and 561 malignant patients were analyzed for their cellular immunity by flow cytometry. The average percentages of CD4+CD25+high/lymphocyte were 1.30 ± 1.19 % (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \bar{x} $$\end{document} ± SD) in normal adults and 3.274 ± 4.835 % in malignant patients (p < 0.001). The ratio of CD4+CD25+high to CD4+ was 3.58 ± 3.19 % in normal adults and 6.01 ± 5.89 % to 13.50 ± 23.60 % in different kinds of malignancies (p < 0.001). Of normal adults, 15.52 % had >3 % Treg and 12.07 % had <10 % NK cells. In contrast, the Treg (>3 %) and NK (<10 %) percentages were 40.82 and 34.94 % in malignant patients, respectively. One hundred and ten patients received the immunomodulation therapy with IFN-α and/or IL-2. The overinduced Treg in 86.3 % and the reduced NK cells in 71.17 % of the patients were successfully modulated. In comparison, other lymphocyte subpopulations in most patients were much less affected by this treatment. No other treatment-relevant complications except slight pyrexia, fatigue, headache, and myalgia were observed. In conclusion, dysregulated Treg and/or NK cells were common in malignant patients. Different from any regimens ever reported, this strategy was simple and effective without severe complications and will become a basic regimen for other cancer therapies.
Electronic supplementary material
The online version of this article (doi:10.1007/s00262-012-1297-2) contains supplementary material, which is available to authorized users.
doi:10.1007/s00262-012-1297-2
PMCID: PMC3506201  PMID: 22722448
Cytokine; Treg and NK; Cellular immunity; Immunotherapy; Immune modulation
16.  Transcription analysis on response of porcine alveolar macrophages to Haemophilus parasuis 
BMC Genomics  2012;13:68.
Background
Haemophilus parasuis (H. parasuis) is the etiological agent of Glässer's disease in pigs. Currently, the molecular basis of this infection is largely unknown. The innate immune response is the first line of defense against the infectious disease. Systematical analysis on host innate immune response to the infection is important for understanding the pathogenesis of the infectious microorganisms.
Results
A total of 428 differentially expressed (DE) genes were identified in the porcine alveolar macrophages (PAMs) 6 days after H. parasuis infection. These genes were principally related to inflammatory response, immune response, microtubule polymerization, regulation of transcript and signal transduction. Through the pathway analysis, the significant pathways mainly concerned with cell adhesion molecules, cytokine-cytokine receptor interaction, complement and coagulation cascades, toll-like receptor signaling pathway, MAPK signaling pathway, suggesting that the host took different strategies to activate immune and inflammatory response upon H. parasuis infection. The global interactions network and two subnetworks of the proteins encoded by DE genes were analyzed by using STRING. Further immunostimulation analysis indicated that mRNA levels of S100 calcium-binding protein A4 (S100A4) and S100 calcium-binding protein A6 (S100A6) in porcine PK-15 cells increased within 48 h and were sustained after administration of lipopolysaccharide (LPS) and Poly (I:C) respectively. The s100a4 and s100a6 genes were found to be up-regulated significantly in lungs, spleen and lymph nodes in H. parasuis infected pigs. We firstly cloned and sequenced the porcine coronin1a gene. Phylogenetic analysis showed that poCORONIN 1A belonged to the group containing the Bos taurus sequence. Structural analysis indicated that the poCORONIN 1A contained putative domains of Trp-Asp (WD) repeats signature, Trp-Asp (WD) repeats profile and Trp-Asp (WD) repeats circular profile at the N-terminus.
Conclusions
Our present study is the first one focusing on the response of porcine alveolar macrophages to H. parasuis. Our data demonstrate a series of genes are activated upon H. parasuis infection. The observed gene expression profile could help screening the potential host agents for reducing the prevalence of H. parasuis and further understanding the molecular pathogenesis associated with H. parasuis infection in pigs.
doi:10.1186/1471-2164-13-68
PMCID: PMC3296652  PMID: 22330747
17.  Copy Number Variation in CNP267 Region May Be Associated with Hip Bone Size 
PLoS ONE  2011;6(7):e22035.
Osteoporotic hip fracture (HF) is a serious global public health problem associated with high morbidity and mortality. Hip bone size (BS) has been identified as one of key measurable risk factors for HF, independent of bone mineral density (BMD). Hip BS is highly genetically determined, but genetic factors underlying BS variation are still poorly defined. Here, we performed an initial genome-wide copy number variation (CNV) association analysis for hip BS in 1,627 Chinese Han subjects using Affymetrix GeneChip Human Mapping SNP 6.0 Array and a follow-up replicate study in 2,286 unrelated US Caucasians sample. We found that a copy number polymorphism (CNP267) located at chromosome 2q12.2 was significantly associated with hip BS in both initial Chinese and replicate Caucasian samples with p values of 4.73E-03 and 5.66E-03, respectively. An important candidate gene, four and a half LIM domains 2 (FHL2), was detected at the downstream of CNP267, which plays important roles in bone metabolism by binding to several bone formation regulator, such as insulin-like growth factor-binding protein 5 (IGFBP-5) and androgen receptor (AR). Our findings suggest that CNP267 region may be associated with hip BS which might influence the FHL2 gene downstream.
doi:10.1371/journal.pone.0022035
PMCID: PMC3137628  PMID: 21789208
18.  Synergy between Proteasome Inhibitors and Imatinib Mesylate in Chronic Myeloid Leukemia 
PLoS ONE  2009;4(7):e6257.
Background
Resistance developed by leukemic cells, unsatisfactory efficacy on patients with chronic myeloid leukemia (CML) at accelerated and blastic phases, and potential cardiotoxity, have been limitations for imatinib mesylate (IM) in treating CML. Whether low dose IM in combination with agents of distinct but related mechanisms could be one of the strategies to overcome these concerns warrants careful investigation.
Methods and Findings
We tested the therapeutic efficacies as well as adverse effects of low dose IM in combination with proteasome inhibitor, Bortezomib (BOR) or proteasome inhibitor I (PSI), in two CML murine models, and investigated possible mechanisms of action on CML cells. Our results demonstrated that low dose IM in combination with BOR exerted satisfactory efficacy in prolongation of life span and inhibition of tumor growth in mice, and did not cause cardiotoxicity or body weight loss. Consistently, BOR and PSI enhanced IM-induced inhibition of long-term clonogenic activity and short-term cell growth of CML stem/progenitor cells, and potentiated IM-caused inhibition of proliferation and induction of apoptosis of BCR-ABL+ cells. IM/BOR and IM/PSI inhibited Bcl-2, increased cytoplasmic cytochrome C, and activated caspases. While exerting suppressive effects on BCR-ABL, E2F1, and β-catenin, IM/BOR and IM/PSI inhibited proteasomal degradation of protein phosphatase 2A (PP2A), leading to a re-activation of this important negative regulator of BCR-ABL. In addition, both combination therapties inhibited Bruton's tyrosine kinase via suppression of NFκB.
Conclusion
These data suggest that combined use of tyrosine kinase inhibitor and proteasome inhibitor might be helpful for optimizing CML treatment.
doi:10.1371/journal.pone.0006257
PMCID: PMC2705802  PMID: 19606213
19.  FOXP3 is an X-linked breast cancer suppressor gene and an important repressor of the HER-2/ErbB2 oncogene 
Cell  2007;129(7):1275-1286.
The X-linked Foxp3 is a member of the forkhead/winged helix transcription factor family. Germ-line mutations cause lethal autoimmune diseases in males. Serendipitously, we observed that Foxp3sf/+ heterozygous mice developed cancer at a high rate. The majority of the cancers were mammary carcinomas in which the wild-type Foxp3 allele was inactivated and ErbB2 was over-expressed. Foxp3 bound and repressed the ErbB2 promoter. Deletion, functionally significant somatic mutations and down-regulation of the FOXP3 gene were commonly found in human breast cancer samples and correlated significantly with HER-2 over-expression, regardless of the status of HER-2 amplification. In toto, the data demonstrate that FOXP3 is an X-linked breast cancer suppressor gene and an important regulator of the HER-2/ErbB2 oncogene.
doi:10.1016/j.cell.2007.04.034
PMCID: PMC1974845  PMID: 17570480
20.  The Genomes of Oryza sativa: A History of Duplications 
Yu, Jun | Wang, Jun | Lin, Wei | Li, Songgang | Li, Heng | Zhou, Jun | Ni, Peixiang | Dong, Wei | Hu, Songnian | Zeng, Changqing | Zhang, Jianguo | Zhang, Yong | Li, Ruiqiang | Xu, Zuyuan | Li, Shengting | Li, Xianran | Zheng, Hongkun | Cong, Lijuan | Lin, Liang | Yin, Jianning | Geng, Jianing | Li, Guangyuan | Shi, Jianping | Liu, Juan | Lv, Hong | Li, Jun | Wang, Jing | Deng, Yajun | Ran, Longhua | Shi, Xiaoli | Wang, Xiyin | Wu, Qingfa | Li, Changfeng | Ren, Xiaoyu | Wang, Jingqiang | Wang, Xiaoling | Li, Dawei | Liu, Dongyuan | Zhang, Xiaowei | Ji, Zhendong | Zhao, Wenming | Sun, Yongqiao | Zhang, Zhenpeng | Bao, Jingyue | Han, Yujun | Dong, Lingli | Ji, Jia | Chen, Peng | Wu, Shuming | Liu, Jinsong | Xiao, Ying | Bu, Dongbo | Tan, Jianlong | Yang, Li | Ye, Chen | Zhang, Jingfen | Xu, Jingyi | Zhou, Yan | Yu, Yingpu | Zhang, Bing | Zhuang, Shulin | Wei, Haibin | Liu, Bin | Lei, Meng | Yu, Hong | Li, Yuanzhe | Xu, Hao | Wei, Shulin | He, Ximiao | Fang, Lijun | Zhang, Zengjin | Zhang, Yunze | Huang, Xiangang | Su, Zhixi | Tong, Wei | Li, Jinhong | Tong, Zongzhong | Li, Shuangli | Ye, Jia | Wang, Lishun | Fang, Lin | Lei, Tingting | Chen, Chen | Chen, Huan | Xu, Zhao | Li, Haihong | Huang, Haiyan | Zhang, Feng | Xu, Huayong | Li, Na | Zhao, Caifeng | Li, Shuting | Dong, Lijun | Huang, Yanqing | Li, Long | Xi, Yan | Qi, Qiuhui | Li, Wenjie | Zhang, Bo | Hu, Wei | Zhang, Yanling | Tian, Xiangjun | Jiao, Yongzhi | Liang, Xiaohu | Jin, Jiao | Gao, Lei | Zheng, Weimou | Hao, Bailin | Liu, Siqi | Wang, Wen | Yuan, Longping | Cao, Mengliang | McDermott, Jason | Samudrala, Ram | Wang, Jian | Wong, Gane Ka-Shu | Yang, Huanming | Bennetzen, Jeff
PLoS Biology  2005;3(2):e38.
We report improved whole-genome shotgun sequences for the genomes of indica and japonica rice, both with multimegabase contiguity, or almost 1,000-fold improvement over the drafts of 2002. Tested against a nonredundant collection of 19,079 full-length cDNAs, 97.7% of the genes are aligned, without fragmentation, to the mapped super-scaffolds of one or the other genome. We introduce a gene identification procedure for plants that does not rely on similarity to known genes to remove erroneous predictions resulting from transposable elements. Using the available EST data to adjust for residual errors in the predictions, the estimated gene count is at least 38,000–40,000. Only 2%–3% of the genes are unique to any one subspecies, comparable to the amount of sequence that might still be missing. Despite this lack of variation in gene content, there is enormous variation in the intergenic regions. At least a quarter of the two sequences could not be aligned, and where they could be aligned, single nucleotide polymorphism (SNP) rates varied from as little as 3.0 SNP/kb in the coding regions to 27.6 SNP/kb in the transposable elements. A more inclusive new approach for analyzing duplication history is introduced here. It reveals an ancient whole-genome duplication, a recent segmental duplication on Chromosomes 11 and 12, and massive ongoing individual gene duplications. We find 18 distinct pairs of duplicated segments that cover 65.7% of the genome; 17 of these pairs date back to a common time before the divergence of the grasses. More important, ongoing individual gene duplications provide a never-ending source of raw material for gene genesis and are major contributors to the differences between members of the grass family.
Comparative genome sequencing of indica and japonica rice reveals that duplication of genes and genomic regions has played a major part in the evolution of grass genomes
doi:10.1371/journal.pbio.0030038
PMCID: PMC546038  PMID: 15685292
21.  Cognitive trio: relationship with major depression and clinical predictors in Han Chinese women 
Psychological Medicine  2013;43(11):2265-2275.
Background
Previous studies support Beck's cognitive model of vulnerability to depression. However, the relationship between his cognitive triad and other clinical features and risk factors among those with major depression (MD) has rarely been systematically studied.
Method
The three key cognitive symptoms of worthlessness, hopelessness and helplessness were assessed during their lifetime worst episode in 1970 Han Chinese women with recurrent MD. Diagnostic and other risk factor information was assessed at personal interview. Odds ratios (ORs) were calculated by logistic regression.
Results
Compared to patients who did not endorse the cognitive trio, those who did had a greater number of DSM-IV A criteria, more individual depressive symptoms, an earlier age at onset, a greater number of episodes, and were more likely to meet diagnostic criteria for melancholia, postnatal depression, dysthymia and anxiety disorders. Hopelessness was highly related to all the suicidal symptomatology, with ORs ranging from 5.92 to 6.51. Neuroticism, stressful life events (SLEs) and a protective parental rearing style were associated with these cognitive symptoms.
Conclusions
During the worst episode of MD in Han Chinese women, the endorsement of the cognitive trio was associated with a worse course of depression and an increased risk of suicide. Individuals with high levels of neuroticism, many SLEs and high parental protectiveness were at increased risk for these cognitive depressive symptoms. As in Western populations, symptoms of the cognitive trio appear to play a central role in the psychopathology of MD in Chinese women.
doi:10.1017/S0033291713000160
PMCID: PMC3807662  PMID: 23425530
Cognitive trio; Han Chinese women; major depression; suicide; symptoms
22.  Prevalence of Cognitive Impairment No Dementia in a Rural Area of Northern China 
Neuroepidemiology  2014;42(4):197-203.
Objective
Few data are available on the prevalence of cognitive impairment no dementia (CIND) in rural China. The aim of this study was to estimate the prevalence of CIND in individuals aged 60 years and older in a large rural community, and to analyze the associated risk factors.
Methods
A two-phase, door-to-door epidemiological study was used for residents aged 60 years and older in Ji County, a rural county near Tianjin in Northern China. In phase 1 of the study, the Mini-Mental State Examination and Clinical Dementia Rating were administered for screening purposes. In phase 2, the subjects who screened positive were further examined by neurologists. A total of 5,744 individuals underwent the home visit interview, where demographic variables and comorbidities were recorded; 5,550 individuals completed the two phases. CIND was diagnosed by the Aging, Demographics and Memory Study on CIND criteria. The odds ratio (OR) for each risk factor was calculated by logistic regression analysis.
Results
The prevalence of CIND among those aged 60 years and older was 23.3%. The prevalence of CIND was lower among those with a higher level of education or social involvement. CIND was more prevalent in fe males, older individuals, those with a past history of stroke, and those living without a partner. Significant risk factors were found by multivariate analyses: past history of stroke (OR = 1.889; 95% CI: 1.437–2.483); being female (OR = 1.546; 95% CI: 1.305–1.832); and having no partner (divorced, widowed or single; OR = 1.250; 95% CI: 1.042–1.499). In turn, level of education (OR = 0.560; 95% CI: 0.460–0.681) and engagement in social activities (OR = 0.339; 95% CI: 0.258–0.404) were protective factors.
Conclusions
This is the first large-scale community-based epidemiological study assessing the prevalence of cognitive loss in the rural Chinese population. The total prevalence of CIND observed was 23.3%, which was higher than in other studies in Western and Asian countries. Living without a partner, female gender and previous stroke increased the risk of CIND, whereas a higher level of education and engagement in social activities reduced the risk of CIND.
doi:10.1159/000360138
PMCID: PMC4074439  PMID: 24751796
Cognitive impairment no dementia; China; Prevalence
23.  A primary assessment of the endophytic bacterial community in a xerophilous moss (Grimmia montana) using molecular method and cultivated isolates 
Brazilian Journal of Microbiology  2014;45(1):163-173.
Investigating the endophytic bacterial community in special moss species is fundamental to understanding the microbial-plant interactions and discovering the bacteria with stresses tolerance. Thus, the community structure of endophytic bacteria in the xerophilous moss Grimmia montana were estimated using a 16S rDNA library and traditional cultivation methods. In total, 212 sequences derived from the 16S rDNA library were used to assess the bacterial diversity. Sequence alignment showed that the endophytes were assigned to 54 genera in 4 phyla (Proteobacteria, Firmicutes, Actinobacteria and Cytophaga/Flexibacter/Bacteroids). Of them, the dominant phyla were Proteobacteria (45.9%) and Firmicutes (27.6%), the most abundant genera included Acinetobacter, Aeromonas, Enterobacter, Leclercia, Microvirga, Pseudomonas, Rhizobium, Planococcus, Paenisporosarcina and Planomicrobium. In addition, a total of 14 species belonging to 8 genera in 3 phyla (Proteobacteria, Firmicutes, Actinobacteria) were isolated, Curtobacterium, Massilia, Pseudomonas and Sphingomonas were the dominant genera. Although some of the genera isolated were inconsistent with those detected by molecular method, both of two methods proved that many different endophytic bacteria coexist in G. montana. According to the potential functional analyses of these bacteria, some species are known to have possible beneficial effects on hosts, but whether this is the case in G. montana needs to be confirmed.
PMCID: PMC4059291  PMID: 24948927
bacterial diversity; endophytes; moss; molecular method; cultivated isolates
24.  A novel proteasome inhibitor suppresses tumor growth via targeting both 19S proteasome deubiquitinases and 20S proteolytic peptidases 
Scientific Reports  2014;4:5240.
The successful development of bortezomib-based therapy for treatment of multiple myeloma has established proteasome inhibition as an effective therapeutic strategy, and both 20S proteasome peptidases and 19S deubiquitinases (DUBs) are becoming attractive targets of cancer therapy. It has been reported that metal complexes, such as copper complexes, inhibit tumor proteasome. However, the involved mechanism of action has not been fully characterized. Here we report that (i) copper pyrithione (CuPT), an alternative to tributyltin for antifouling paint biocides, inhibits the ubiquitin-proteasome system (UPS) via targeting both 19S proteasome-specific DUBs and 20S proteolytic peptidases with a mechanism distinct from that of the FDA-approved proteasome inhibitor bortezomib; (ii) CuPT potently inhibits proteasome-specific UCHL5 and USP14 activities; (iii) CuPT inhibits tumor growth in vivo and induces cytotoxicity in vitro and ex vivo. This study uncovers a novel class of dual inhibitors of DUBs and proteasome and suggests a potential clinical strategy for cancer therapy.
doi:10.1038/srep05240
PMCID: PMC4050382  PMID: 24912524
25.  Construction and Analysis of High-Density Linkage Map Using High-Throughput Sequencing Data 
PLoS ONE  2014;9(6):e98855.
Linkage maps enable the study of important biological questions. The construction of high-density linkage maps appears more feasible since the advent of next-generation sequencing (NGS), which eases SNP discovery and high-throughput genotyping of large population. However, the marker number explosion and genotyping errors from NGS data challenge the computational efficiency and linkage map quality of linkage study methods. Here we report the HighMap method for constructing high-density linkage maps from NGS data. HighMap employs an iterative ordering and error correction strategy based on a k-nearest neighbor algorithm and a Monte Carlo multipoint maximum likelihood algorithm. Simulation study shows HighMap can create a linkage map with three times as many markers as ordering-only methods while offering more accurate marker orders and stable genetic distances. Using HighMap, we constructed a common carp linkage map with 10,004 markers. The singleton rate was less than one-ninth of that generated by JoinMap4.1. Its total map distance was 5,908 cM, consistent with reports on low-density maps. HighMap is an efficient method for constructing high-density, high-quality linkage maps from high-throughput population NGS data. It will facilitate genome assembling, comparative genomic analysis, and QTL studies. HighMap is available at http://highmap.biomarker.com.cn/.
doi:10.1371/journal.pone.0098855
PMCID: PMC4048240  PMID: 24905985

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