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920 citation(s) found for "Xu, Cheng".

Adiposity Genetic Risk Score Modifies the Association Between Blood Lead Level and Body Mass Index
Wang, Ningjian , Lu, Meng , Chen, Chi , Xia, Fangzhen , Han, Bing , Cheng, Jing , Jensen, Michael D. , Lu, Yingli , Li, Qin , Chen, Yi , Zhu, Chunfang

The Journal of Clinical Endocrinology & Metabolism | September 7, 2018 | Volume: 103 | Issue: 11 | Pages: 4005-4013

10.1210/jc.2018-00472 | PMID 30202913 Get It

Abstract Context Previous epidemiological studies had inconsistent results regarding the relationship between blood lead level (BLL) and adiposity. Objective We aimed to investigate the associations of BLL with body mass index (BMI) particularly using Mendelian randomization analyses and examine the interaction between obesity-predisposing genes and BLL on the associations. Design and Setting A total of 3922 participants were enrolled from 16 sites in East China in 2014 from the Survey on Prevalence in East China for Metabolic Diseases and Risk Factors (ChiCTR-ECS-14005052, www.chictr.org.cn). We calculated the weighted BMI genetic risk score (GRS) based on 29 variants that were identified and validated in East Asians. BLL was measured by atomic absorption spectrometry. Main Outcome Measure BMI was calculated, and BMI ≥25 kg/m2 was defined as overweight. Results Multivariable logistic regression analysis demonstrated significant associations between BMI with each unit increase in lnBLL (β = 0.24; 95% CI, 0.08 to 0.40; P < 0.001) and each 1-point increase in BMI-GRS (β = 0.08; 95% CI, 0.05 to 0.11; P < 0.001). The causal regression coefficients of genetically determined BMI for lnBLL were −0.003 (95% CI, −0.075 to 0.070), which showed no significance. The GRS modified the association of BLL with BMI and overweight (BMI ≥25 kg/m2; P for interaction = 0.031 and 0.001, respectively). Each unit of lnBLL was associated with 63% higher odds of overweight (OR 1.63; 95% CI, 1.30 to 2.05) in the highest quartile of GRS, but no significant associations were found in the lower three quartiles. Conclusions The associations of BLL with BMI and overweight (BMI ≥25 kg/m2) were significantly modulated by BMI genetic susceptibility.
Revitalized and synovialized allograft for intrasynovial flexor tendon reconstruction in an in vivo canine model
Zhang, Tao , Lu, Cheng‐Chang , Reisdorf, Ramona L., Thoreson, Andrew R. , Gingery, Anne , Moran, Steven L. , Amadio, Peter C. , Zhao, Chunfeng , Gingery, Anne

Journal of Orthopaedic Research | August 22, 2018 | Volume: 36 | Issue: 8 | Pages: 2218-2227

10.1002/jor.23889 | PMID 29575268 Get It

ABSTRACTThis study was to test our hypothesis that flexor tendon reconstruction with an allograft revitalized with bone marrow stromal cells (BMSCs) and synovialized with carbodiimide derivatized autologous synovial fluid (cd‐SYN) would result in better digit functional restoration than the conventional allograft tendon. A total of 32 flexor digital profundus tendons from the second and fifth digit of 16 dogs were created a repair failure model first. Then, failed‐repaired tendons were reconstructed with either a revitalized‐synovialized allograft tendon or a clinical standard autograft tendon (control group). The allograft tendon was seeded with autologous BMSCs in multiple slits and the graft surface was coated with cd‐SYN. A 6 weeks after tendon reconstruction, the digits were harvested and evaluated for digit function, adhesion status, tendon gliding resistance, attachment strength, cell viability, and histologic factors. The allograft group had significantly improved digit function compared with the control group through decreased work of flexion, increased digit range of motion under 2‐Newton force, and less adhesion score (p < .05). However, the distal attachment‐site strength and stiffness in the allograft tendon were significantly weaker than the autografts (p < .05). No significant difference was found for gliding resistance. Histologically, allograft tendons coated with allograft had smoother surfaces and showed tendon‐to‐bone and tendon‐to‐tendon incorporation. Viable BMSCs were found in the tendon slits 6 weeks after the graft. In conclusion, cellular lubricant‐based modification of allograft tendons improved digit function and reduced the adhesions compared with autograft for flexor tendon reconstruction. However, improvement of graft‐to‐host tendon healing is still challenging. © 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:2218–2227, 2018.
Abstract 3894: DPYD-Varifier, a computational model to identify 5-FU toxicity-associated DPYD variants
Jerde, Calvin R. , Offer, Steven M. , Diasio, Robert B. , Offer, Steven M , Shrestha, Shikshya , Zhang, Cheng , Li, Hu

Cancer Research | August 17, 2018 | Volume: 78 | Issue: 13_Supplement | Pages: 3894-3894

10.1158/1538-7445.am2018-3894 Get It

Abstract 5-Fluorouracil (5-FU) is a cornerstone therapy for the treatment of several aggressive tumors. However, nearly 1/3 of patients receiving 5-FU experience severe (grade 3+) adverse 5-FU toxicity. Genetic variations in dihydropyrimidine dehydrogenase (DPD; DPYD gene) are major contributors of 5-FU toxicity. With continued progress in next-generation sequencing technologies, the number of reported genetic variants is substantially increasing; to date, there are more than 450 reported missense variants in the DPYD gene. Only a handful of those variants, including *2A, I560S, D949V, and rs75017182, have been established as predictors of toxicity. Because most of the remaining variants are unstudied, mainly due to their rare occurrence and unequal racial distribution, it is challenging to conduct statistically powered clinical association studies. Therefore, in vitro and computational methods to identify potential toxicity-associated variants have major appeal. The primary goal of the current study was to develop a highly accurate gene-specific in silico classifier to predict deleterious DPYD variants. For this purpose, using a recombinant cellular model, we characterized 69 missense DPYD variants reported in online databases. We then utilized DPD activity data from the 69 variants in combination with data from 87 previously characterized variants (see Offer, SM et al. Cancer Research 2013 & 2014) to develop the DPYD variant classifier model (DPYD-Varifier). DPD protein-specific biochemical and structural features and amino acid conservation scores were integrated into the model's random forest classifier-based algorithm. DPYD-Varifier showed improved accuracy (85% accurate) compared to other in silico tools. Additionally, the model provided mechanistic insights into alterations of DPD function conferred by DPYD variants. In general, deleterious variants were located in closer proximity to important binding/coordinating sites of the DPD protein. Additionally, DPYD-Varifier allowed us to estimate the cumulative allele frequency of all reported deleterious variants in various geographical/racial groups, which can substantially add to our knowledge of DPD deficiency and 5-FU toxicity observed in these populations. In conclusion, the integration of in vitro and accurate computational data from our study permitted classification of relevant DPYD variants, which could be useful to more effectively individualize 5-FU therapy in the future. Citation Format: Shikshya Shrestha, Cheng Zhang, Calvin R. Jerde, Hu Li, Steven M. Offer, Robert B. Diasio. DPYD-Varifier, a computational model to identify 5-FU toxicity-associated DPYD variants [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3894.
Author response: H3.3K27M mutant proteins reprogram epigenome by sequestering the PRC2 complex to poised enhancers
Dong, Fang , Gan, Haiyun , Cheng, Liang , Zhou, Hui , Lee, Jeong‐Heon , Sarkaria, Jann N. , Daniels, David J. , Zhang, Zhiguo

No container title available | July 5, 2018 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.36696.031 Get It

Simultaneous reconstruction of the thumb defect and coverage of the failed first dorsal metacarpal artery flap donor site by using the anterolateral thigh flap and its vascular pedicle tissue
Liu, En‐Wei , Huang, Tony Chieh‐Ting , Cheng, Hsu‐Tang , Cheng, Hsu-Tang

Microsurgery | June 27, 2018 | Volume: 38 | Issue: 7 | Pages: 821-822

10.1002/micr.30347 | PMID 29947062 Get It

H3.3K27M mutant proteins reprogram epigenome by sequestering the PRC2 complex to poised enhancers
Dong, Fang , Gan, Haiyun , Cheng, Liang , Lee, Jeong‐Heon , Zhou, Hui , Zhang, Zhiguo , Fang, Dong , Zhang, Zhiguo , Lee, Jeong-Heon , Sarkaria, Jann N. , Daniels, David J.

eLife | June 22, 2018 | Volume: 7 | Issue: No issue available | Pages: No page available

10.7554/elife.36696 | PMID 29932419 Get It

Expression of histone H3.3K27M mutant proteins in human diffuse intrinsic pontine glioma (DIPG) results in a global reduction of tri-methylation of H3K27 (H3K27me3), and paradoxically, H3K27me3 peaks remain at hundreds of genomic loci, a dichotomous change that lacks mechanistic insights. Here, we show that the PRC2 complex is sequestered at poised enhancers, but not at active promoters with high levels of H3.3K27M proteins, thereby contributing to the global reduction of H3K27me3. Moreover, the levels of H3.3K27M proteins are low at the retained H3K27me3 peaks and consequently having minimal effects on the PRC2 activity at these loci. H3K27me3-mediated silencing at specific tumor suppressor genes, including Wilms Tumor 1, promotes proliferation of DIPG cells. These results support a model in which the PRC2 complex is redistributed to poised enhancers in H3.3K27M mutant cells and contributes to tumorigenesis in part by locally enhancing H3K27me3, and hence silencing of tumor suppressor genes.
ARNT/HIF‐1β links high‐risk 1q21 gain and microenvironmental hypoxia to drug resistance and poor prognosis in multiple myeloma
Liu, Yingmin , Yi-cheng, LU , Liu, Xiaobo , Liu, Xuelian , Ye, Long , Sun, Yue , Wang, Xue , Yang, Pei‐Yu , Gao, Sujun , Kumar, Shaji , Jin, Fengyan , Dai, Yun , Li, Wei , Dai, Yun , Wu, Chuan, Yang, Ting , Yang, Yanping , Li, Qingchao , Yu, Xiaoyuan

Cancer Medicine | June 21, 2018 | Volume: 7 | Issue: 8 | Pages: 3899-3911

10.1002/cam4.1596 | PMID 29926531 Get It

Abstract1q21 gain is a common cytogenetic abnormality featuring high‐risk multiple myeloma (HRMM). However, the molecular mechanism underlying the adverse prognostic effect of 1q21 gain remains largely unclear. Here, we report that ARNT/HIF‐1β, a 1q21 gene, is highly expressed in HRMM and induced by microenvironmental hypoxia, which confers drug resistance and correlates with inferior outcome. Analysis of the gene expression profile database revealed that ARNT expression was upregulated in MM and increased with disease progression or in HRMM subtypes (particularly 1q21 gain), while correlated to shorter overall survival. In a cohort of 40 MM patients, qPCR further validated that ARNT expression was higher in MM patients than normal donors. MM cells carrying 1q21 gain or acquired drug resistance displayed a robust increase in HIF‐1β protein level. Hypoxia induced HIF‐1β expression via a NF‐κB‐dependent process. Notably, HIF‐1β overexpression impaired bortezomib sensitivity, whereas shRNA knockdown of ARNT reversed hypoxia‐mediated drug resistance. Together, these findings suggest that ARNT/HIF‐1β might represent a novel biomarker for risk stratification and prognosis of HRMM patients, as well as a potential therapeutic target for overcoming 1q21 gain‐ or microenvironment‐mediated and acquired drug resistance in MM.
Lung-Resident Mesenchymal Stromal Cells Reveal Transcriptional Dynamics of Lung Development in Preterm Infants
Spadafora, Ruggero , Lu, Junjie , Khetani, Radhika S. , Iberg, Aimee, Shi, Yang , Lerou, Paul H. , Zhang, Cheng , Li, Hu

American Journal of Respiratory and Critical Care Medicine | May 14, 2018 | Volume: 198 | Issue: 7 | Pages: 961-964

10.1164/rccm.201801-0024le | PMID 29757681 Get It

MRI feature tracking strain is prognostic for all-cause mortality in AL amyloidosis
Illman, Jeffery E., Arani, Arvin , Chang, Ian C , Glockner, James F., Grogan, Martha , Araoz, Philip A. , Arunachalam, S P , Arani, Arvin , Chang, Ian Cheng-Yi , Dispenzieri, Angela , Grogan, Martha , Araoz, Philip A , Arunachalam, Shivaram P. , Dispenzieri, Angela

Amyloid | May 7, 2018 | Volume: 25 | Issue: 2 | Pages: 101-108

10.1080/13506129.2018.1465406 | PMID 29733684 Get It

Novel Common Genetic Susceptibility Loci for Colorectal Cancer
Schmit, Stephanie L. , Edlund, Christopher K., Schumacher, Fredrick R. , Harrison, Tabitha A. , Huyghe, Jeroen R. , Qu, Chenxu, Melas, Marilena , Berg, David Van Den , Wang, Hansong, Tring, Stephanie, Plummer, Sarah J. , Alonso, M. Henar , Anton, Kristen , Aragaki, Aaron K. , Arndt, Volker , Barry, Elizabeth L. , Berndt, Sonja I. , Bloomer, Amanda M. , Boehm, Juergen , Brenner, Hermann , Brezina, Stefanie , Buchanan, Daniel D. , Butterbach, Katja, Caan, Bette J. , Carlson, Christopher S. , Castelao, Jose E. , Chang‐Claude, Jenny , Cheng, Ya‐Wen , Chin, Lee Soo, Church, Timothy R. , Correa, Marcia Cruz, Curtis, Keith R. , Duggan, David , Easton, Douglas F. , English, Dallas R. , Fischer, Rocky, Fritsche, Lars G. , Fuchs, Charles S. , Gago-Domínguez, Manuela , Gala, Manish , Gallinger, Steven , Gauderman, W. James, Giovannucci, Edward L. , Gogarten, Stephanie M. , González‐Villalpando, Clicerio, Gonzalez-Villalpando, Elena M., Greenson, Joel K. , Gsur, Andrea , Gunter, Marc J. , Haiman, Christopher A. , Hampe, Jochen , Harlid, Sophia , Harju, John F., Hayes, Richard B. , Hofer, Philipp , Hoffmeister, Michael , Huang, Shu-Chen, Huerta, José María , Hunter, David J., Idos, Gregory , Jackson, Rebecca D. , Jacobs, Eric J. , Jee, Sun Ha , Jenkins, Mark A. , Jia, Wei-Hua , Jiao, Shuo , Joshi, Amit D. , Kolonel, Laurence N. , Kono, Suminori , Krogh, Vittorio , Küehn, Tilman, Küry, Sébastien , LaCroix, Andrea Z. , Laurie, Cecelia , Lejbkowicz, Flavio, Lemire, Mathieu , Lenz, Heinz‐Josef , Levine, David , Li, Li , Lindor, Noralane M. , Liu, Yun-Ru, Lu, Yingchang , Luh, Frank , Ma, Jing , Mancao, Christoph , Manion, Frank J. , Markowitz, Sanford D. , Martín, Vicente , Matsuo, Keitaro , McDonnell, Kevin , McNeil, Caroline E, Murphy, Neil , Offit, Kenneth, Omichessan, Hanane , Cotoré, Jesús Paredes, Pérez‐Mayoral, Julyann, Rennert, Gad , Rennert, Hedy S., Riggs, Bridget M., Schafmayer, Clemens, Sellers, Thomas A. , Seminara, Daniela, Shibata, David , Siegel, Erin M. , Slattery, Martha L. , Stintzing, Sebastian , Taverna, Darin, Thibodeau, Stephen N. , Thomas, Duncan C. , Trichopoulou, Antonia , Duijnhoven, Fränzel J.B. van , Guelpan, Bethany van, Virtamo, Jarmo, Weinstein, Stephanie J. , Win, Aung Ko , Woods, Michael O. , Wu, Anna H. , Wu, Kana , Xiang, Yong-Bing , Zanke, Brent W., Zeng, Yi-Xin , Zhang, Ben , Zubair, Niha, Figueiredo, Jane C. , Lindblom, Annika , Moreno, Vı́ctor , Peters, Ulrike , Conti, David V. , Gruber, Stephen B. , Kühn, Tilman , Buchanan, Daniel D , Win, Aung K , Rennert, Gad , Hoffmeister, Michael , Arndt, Volker , English, Dallas R , Martín, Vicente , Moreno, Victor , Gunter, Marc J , Jenkins, Mark A , Van Den Berg, David J , Harrison, Tabitha A , Matsuo, Keitaro , Kury, Sebastien , Brenner, Hermann , Gago-Dominguez, Manuela , Hampe, Jochen , Murphy, Neil , Hayes, Richard B , Brezina, Stefanie , Conti, David V , Gong, Jian Feng , Albanes, Demetrius , Amos, Christopher I. , Bezieau, Stéphane , Bien, Stephanie A. , Boutron‐Ruault, Marie‐Christine , Campbell, Peter T. , Chan, Andrew T. , Chanock, Stephen Jacob , Cheng, Iona C. , Church, James M. , Coetzee, Gerhard A. , Cotterchio, Michelle , Feskens, Edith J. M. , FitzGerald, Liesel M. , Fortini, Barbara K. , Giles, Graham G. , Grady, William M. , Hopper, John L. , Hudson, Thomas J , Iwasaki, Motoki , Kooperberg, Charles , Li, Christopher I , Lieb, Wolfgang , Lin, Yi , Liu, Yun‐Ru , Loupakis, Fotios , Matsuda, Koichi , McNeil, Caroline E, Milne, Roger L. , Molina, Antonio José , Mukherjee, Bhramar , Newcomb, Polly A. , Palli, Domenico , Pharoah, Paul D.P. , Potter, John D. , Qu, Conghui , Raskin, Leon , Schoen, Robert E. , Severi, Gianluca , Shi, Wei , Shu, Xiao‐Ou , Southey, Melissa C. , Stadler, Zsofia , Stern, Mariana Carla , Tsugane, Shoichiro , Ulrich, Cornelia M. , Vijai, Joseph , White, Emily E. , Wolk, Alicja , Yen, Yun , Kweon, Sun-Seog , Zheng, Wei , Marchand, Loı̈c Le , Casey, Graham , Church, Timothy R , Caan, Bette J , Lindblom, Annika

JNCI: Journal of the National Cancer Institute | April 30, 2018 | Volume: 111 | Issue: 2 | Pages: 146-157

10.1093/jnci/djy099 | PMID 29917119 Get It

Abstract Background Previous genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10−8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk. Methods We conducted a GWAS in European descent CRC cases and control subjects using a discovery–replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10−8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided. Results The discovery GWAS identified 11 variants associated with CRC at P < 5 × 10−8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0. Conclusions This study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.