Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Nirag C. Jhala"'
Autor:
Charles Drummer, Fatma Saaoud, Nirag C. Jhala, Ramon Cueto, Yu Sun, Keman Xu, Ying Shao, Yifan Lu, Huimin Shen, Ling Yang, Yan Zhou, Jun Yu, Sheng Wu, Nathaniel W. Snyder, Wenhui Hu, Jia ‘Joe’ Zhuo, Yinghui Zhong, Xiaohua Jiang, Hong Wang, Xiaofeng Yang
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
IntroductionNon-alcoholic fatty liver disease (NAFLD) has a global prevalence of 25% of the population and is a leading cause of cirrhosis and hepatocellular carcinoma. NAFLD ranges from simple steatosis (non-alcoholic fatty liver) to non-alcoholic s
Externí odkaz:
https://doaj.org/article/9a78dfc4c3c947d7aa547fd45eac9bb1
Autor:
Charles I. V. Drummer, Fatma Saaoud, Yu Sun, Diana Atar, Keman Xu, Yifan Lu, Ying Shao, Candice Johnson, Lu Liu, Huimin Shen, Nirag C. Jhala, Xiaohua Jiang, Hong Wang, Xiaofeng Yang
Publikováno v:
Journal of Immunology Research, Vol 2021 (2021)
We performed a panoramic analysis on both human nonalcoholic steatohepatitis (NASH) microarray data and microarray/RNA-seq data from various mouse models of nonalcoholic fatty liver disease NASH/NAFLD with total 4249 genes examined and made the follo
Externí odkaz:
https://doaj.org/article/1fd1eeed479244ef8554a63a366e4bd8
Autor:
Hangfei Fu, Yu Sun, Ying Shao, Jason Saredy, Ramon Cueto, Lu Liu, Charles Drummer, Candice Johnson, Keman Xu, Yifan Lu, Xinyuan Li, Shu Meng, Eric R. Xue, Judy Tan, Nirag C. Jhala, Daohai Yu, Yan Zhou, Kayla J. Bayless, Jun Yu, Thomas J. Rogers, Wenhui Hu, Nathaniel W. Snyder, Jianxin Sun, Xuebin Qin, Xiaohua Jiang, Hong Wang, Xiaofeng Yang
Publikováno v:
Frontiers in Immunology, Vol 11 (2020)
Interleukin (IL) 35 is a novel immunosuppressive heterodimeric cytokine in IL-12 family. Whether and how IL-35 regulates ischemia-induced angiogenesis in peripheral artery diseases are unrevealed. To fill this important knowledge gap, we used loss-of
Externí odkaz:
https://doaj.org/article/df5786bc9d924b9887e995d716859508
Autor:
Alexander M. Fagenson, Keman Xu, Fatma Saaoud, Gayani Nanayakkara, Nirag C. Jhala, Lu Liu, Charles Drummer, Yu Sun, Kwan N. Lau, Antonio Di Carlo, Xiaohua Jiang, Hong Wang, Sunil S. Karhadkar, Xiaofeng Yang
Publikováno v:
Pathogens, Vol 9, Iss 11, p 879 (2020)
Ischemia reperfusion injury (IRI) during liver transplantation increases morbidity and contributes to allograft dysfunction. There are no therapeutic strategies to mitigate IRI. We examined a novel hypothesis: caspase 1 and caspase 11 serve as danger
Externí odkaz:
https://doaj.org/article/188d6a44e7934e439f89aca295223737
Autor:
Upender Manne, William E. Grizzle, Al Bartolucci, Billie Anderson, James M. Hardin, Nirag C. Jhala, Venkat R. Katkoori, Sreelatha Meleth, Chakrapani Chatla
Publikováno v:
Cancer Informatics, Vol 3, Pp 115-122 (2007)
Background: Although a majority of studies in cancer biomarker discovery claim to use proportional hazards regression (PHREG) to the study the ability of a biomarker to predict survival, few studies use the predicted probabilities obtained from the m
Externí odkaz:
https://doaj.org/article/8318a2281e764bf786fe7bf8d21e951a
Autor:
Sreelatha Meleth, Chakrapani Chatla, Venkat R. Katkoori, Billie Anderson, James M. Hardin, Nirag C. Jhala, Al Bartolucci, William E. Grizzle, Upender Manne Ph.D.
Publikováno v:
Cancer Informatics, Vol 3 (2007)
Background Although a majority of studies in cancer biomarker discovery claim to use proportional hazards regression (PHREG) to the study the ability of a biomarker to predict survival, few studies use the predicted probabilities obtained from the mo
Externí odkaz:
https://doaj.org/article/67bb0ab9519448c89a966a02364dfda4
Autor:
Gary W. Falk, Anil Rustgi, Jacques J.G.H.M. Bergman, Lucas C. Duits, Ali H. Zaidi, Blair A. Jobe, Tyler Foxwell, Maureen DeMarshall, Gregory G. Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Kathleen Repa, Yi Zhang, Lia M. Reese, Jeffrey W. Prichard, Jon M. Davison, Rebecca J. Critchley-Thorne
Table S1. 15 Image Analysis Features Utilized by the Risk Classifier Table S2. Performance of Risk Classes Predicted by Test vs. Pathologic Diagnosis in Stratifying BE Patients with Prevalent HGD/EAC from Non-Progressor BE Patients. Figure S1. Repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b80914c7a023e225530485d09ca4a39a
https://doi.org/10.1158/1055-9965.22436215
https://doi.org/10.1158/1055-9965.22436215
Autor:
Gary W. Falk, Jacques J.G.H.M. Bergman, Anil K. Rustgi, D. Lansing Taylor, Ali H. Zaidi, Tyler Foxwell, Maureen DeMarshall, Gregory Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Lia M. Reese, Kathleen A. Repa, Yi Zhang, Bruce B. Campbell, Blair A. Jobe, Jon M. Davison, Jeffrey W. Prichard, Lucas C. Duits, Rebecca J. Critchley-Thorne
Table S1. Summary of Progression Endpoints in Incident Progressor Patients. Table S2. Correlation Among Quantitative Image Analysis Features Derived from the Same Candidate Biomarkers. Table S3. Comparison of Predictive Performance of Risk Classes Pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48e97cebf51bb4c076aea75af5a0021a
https://doi.org/10.1158/1055-9965.22438599.v1
https://doi.org/10.1158/1055-9965.22438599.v1
Autor:
Gary W. Falk, Anil Rustgi, Jacques J.G.H.M. Bergman, Lucas C. Duits, Ali H. Zaidi, Blair A. Jobe, Tyler Foxwell, Maureen DeMarshall, Gregory G. Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Kathleen Repa, Yi Zhang, Lia M. Reese, Jeffrey W. Prichard, Jon M. Davison, Rebecca J. Critchley-Thorne
Background: There is a need for improved tools to detect high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) in patients with Barrett's esophagus. In previous work, we demonstrated that a 3-tier classifier predicted risk of incident progre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::559b29abbff874c7ff9988ebbcca40b3
https://doi.org/10.1158/1055-9965.c.6515284.v1
https://doi.org/10.1158/1055-9965.c.6515284.v1
Autor:
Gary W. Falk, Jacques J.G.H.M. Bergman, Anil K. Rustgi, D. Lansing Taylor, Ali H. Zaidi, Tyler Foxwell, Maureen DeMarshall, Gregory Ginsberg, Nirag C. Jhala, David L. Diehl, Jinhong Li, Lia M. Reese, Kathleen A. Repa, Yi Zhang, Bruce B. Campbell, Blair A. Jobe, Jon M. Davison, Jeffrey W. Prichard, Lucas C. Duits, Rebecca J. Critchley-Thorne
Background: Better methods are needed to predict risk of progression for Barrett's esophagus. We aimed to determine whether a tissue systems pathology approach could predict progression in patients with nondysplastic Barrett's esophagus, indefinite f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41fc3fc4f9346d5fb548b5841811eed4
https://doi.org/10.1158/1055-9965.c.6516444.v1
https://doi.org/10.1158/1055-9965.c.6516444.v1