Browsing by Author "Zhang, Mingzhi"

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    Clinical characteristics and outcomes of Castleman disease: a multicenter Consortium study of 428 patients with 15-year follow-up
    (e-Century Publishing, 2022-09-15) Liu, Wanying; Cai, Qingqing; Yu, Tiantian; Strati, Paolo; Hagemeister, Frederick B.; Zhai, Qiongli; Zhang, Mingzhi; Li, Ling; Fang, Xiaosheng; Li, Jianyong; Sun, Ruifang; Zhang, Shanxiang; Yang, Hanjin; Wang, Zhaoming; Qian, Wenbian; Iwaki, Noriko; Sato, Yasuharu; Oksenhendler, Eric; Xu-Monette, Zijun Y.; Young, Ken H.; Yu, Li; Pathology and Laboratory Medicine, School of Medicine
    Castleman disease (CD) has been reported as a group of poorly understood lymphoproliferative disorders, including unicentric CD (UCD) and idiopathic multicentric CD (iMCD) which are human immunodeficiency virus (HIV) negative and human herpes virus 8 (HHV-8) negative. The clinical and independent prognostic factors of CD remain poorly elucidated. We retrospectively collected the clinical information of 428 patients with HIV and HHV-8 negative CD from 12 large medical centers with 15-year follow-up. We analyzed the clinicopathologic features of 428 patients (248 with UCD and 180 with iMCD) with a median age of 41 years. The histology subtypes were hyaline-vascular (HV) histopathology for 215 patients (56.58%) and plasmacytic (PC) histopathology for 165 patients (43.42%). Most patients with UCD underwent surgical excision, whereas the treatment strategies of patients with iMCD were heterogeneous. The outcome for patients with UCD was better than that for patients with iMCD, 5-year overall survival (OS) rates were 95% and 74%, respectively. In further analysis, a multivariate analysis using a Cox regression model revealed that PC subtype, hepatomegaly and/or splenomegaly, hemoglobin ≤ 80 g/L, and albumin ≤ 30 g/L were independent prognostic factors of CD for OS. The model of iMCD revealed that age > 60 years, hepatomegaly and/or splenomegaly, and hemoglobin ≤ 80 g/L were independent risk factors. In UCD, single-factor analysis identified two significant risk factors: hemoglobin ≤ 100 g/L and albumin ≤ 30 g/L. Our study emphasizes the distinction of clinical characteristics between UCD and iMCD. The importance of poor risk factors of different clinical classifications may direct more precise and appropriate treatment strategies.
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    Drug screening with zebrafish visual behavior identifies carvedilol as a potential treatment for an autosomal dominant form of retinitis pigmentosa
    (Springer Nature, 2021-06-01) Ganzen, Logan; Ko, Mee Jung; Zhang, Mengrui; Xie, Rui; Chen, Yongkai; Zhang, Liyun; James, Rebecca; Mumm, Jeff; van Rijn, Richard M.; Zhong, Wenxuan; Pang, Chi Pui; Zhang, Mingzhi; Tsujikawa, Motokazu; Leung, Yuk Fai; Biochemistry and Molecular Biology, School of Medicine
    Retinitis Pigmentosa (RP) is a mostly incurable inherited retinal degeneration affecting approximately 1 in 4000 individuals globally. The goal of this work was to identify drugs that can help patients suffering from the disease. To accomplish this, we screened drugs on a zebrafish autosomal dominant RP model. This model expresses a truncated human rhodopsin transgene (Q344X) causing significant rod degeneration by 7 days post-fertilization (dpf). Consequently, the larvae displayed a deficit in visual motor response (VMR) under scotopic condition. The diminished VMR was leveraged to screen an ENZO SCREEN-WELL REDOX library since oxidative stress is postulated to play a role in RP progression. Our screening identified a beta-blocker, carvedilol, that ameliorated the deficient VMR of the RP larvae and increased their rod number. Carvedilol may directly on rods as it affected the adrenergic pathway in the photoreceptor-like human Y79 cell line. Since carvedilol is an FDA-approved drug, our findings suggest that carvedilol can potentially be repurposed to treat autosomal dominant RP patients.
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    EBV-positive DLBCL frequently harbors somatic mutations associated with clonal hematopoiesis of indeterminate potential
    (American Society of Hematology, 2023) Li, Yong; Xu-Monette, Zijun Y.; Abramson, Jeremy; Sohani, Aliyah R.; Bhagat, Govind; Tzankov, Alexandar; Visco, Carlo; Zhang, Shanxiang; Dybkaer, Karen; Pan, Zenggang; Xu, Min; Tam, Wayne; Zu, Youli; Hsi, Eric D.; Hagemeister, Fredrick B.; Go, Heounjeong; van Krieken, J. Han; Winter, Jane N.; Ponzoni, Maurilio; Ferreri, Andrés J. M.; Møller, Michael B.; Piris, Miguel A.; Wang, Yingjun; Zhang, Mingzhi; Young, Ken H.; Pathology and Laboratory Medicine, School of Medicine
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    Expression profiling of the retina of pde6c, a zebrafish model of retinal degeneration
    (Nature Publishing group, 2017-12-12) Zhang, Liyun; Zhang, Xinlian; Zhang, Gaonan; Pang, Chi Pui; Leung, Yuk Fai; Zhang, Mingzhi; Zhong, Wenxuan; Biochemistry and Molecular Biology, School of Medicine
    Retinal degeneration often affects the whole retina even though the disease-causing gene is specifically expressed in the light-sensitive photoreceptors. The molecular basis of the retinal defect can potentially be determined by gene-expression profiling of the whole retina. In this study, we measured the gene-expression profile of retinas microdissected from a zebrafish pde6cw59 (pde6c) mutant. This retinal-degeneration model not only displays cone degeneration caused by a cone-specific mutation, but also other secondary cellular changes starting from 4 days postfertilization (dpf). To capture the underlying molecular changes, we subjected pde6c and wild-type (WT) retinas at 5 dpf/ 120 h postfertilization (hpf) to RNA sequencing (RNA-Seq) on the Illumina HiSeq 2,000 platform. We also validated the RNA-Seq results by Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR) of seven phototransduction genes. Our analyses indicate that the RNA-Seq dataset was of high quality, and effectively captured the molecular changes in the whole pde6c retina. This dataset will facilitate the characterization of the molecular defects in the pde6c retina at the initial stage of retinal degeneration.
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    Normalization of large-scale behavioural data collected from zebrafish
    (Public Library of Science, 2019-02-15) Xie, Rui; Zhang, Mengrui; Venkatraman, Prahatha; Zhang, Xinlian; Zhang, Gaonan; Carmer, Robert; Kantola, Skylar A.; Pang, Chi Pui; Ma, Ping; Zhang, Mingzhi; Zhong, Wenxuan; Leung, Yuk Fai; Department of Biochemistry and Molecular Biology, Indiana University School of Medicine
    Many contemporary neuroscience experiments utilize high-throughput approaches to simultaneously collect behavioural data from many animals. The resulting data are often complex in structure and are subjected to systematic biases, which require new approaches for analysis and normalization. This study addressed the normalization need by establishing an approach based on linear-regression modeling. The model was established using a dataset of visual motor response (VMR) obtained from several strains of wild-type (WT) zebrafish collected at multiple stages of development. The VMR is a locomotor response triggered by drastic light change, and is commonly measured repeatedly from multiple larvae arrayed in 96-well plates. This assay is subjected to several systematic variations. For example, the light emitted by the machine varies slightly from well to well. In addition to the light-intensity variation, biological replication also created batch-batch variation. These systematic variations may result in differences in the VMR and must be normalized. Our normalization approach explicitly modeled the effect of these systematic variations on VMR. It also normalized the activity profiles of different conditions to a common baseline. Our approach is versatile, as it can incorporate different normalization needs as separate factors. The versatility was demonstrated by an integrated normalization of three factors: light-intensity variation, batch-batch variation and baseline. After normalization, new biological insights were revealed from the data. For example, we found larvae of TL strain at 6 days post-fertilization (dpf) responded to light onset much stronger than the 9-dpf larvae, whereas previous analysis without normalization shows that their responses were relatively comparable. By removing systematic variations, our model-based normalization can facilitate downstream statistical comparisons and aid detecting true biological differences in high-throughput studies of neurobehaviour.
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    Utilizing Zebrafish Visual Behaviors in Drug Screening for Retinal Degeneration
    (MDPI, 2017-06-02) Ganzen, Logan; Venkatraman, Prahatha; Pang, Chi Pui; Leung, Yuk Fai; Zhang, Mingzhi; Biochemistry and Molecular Biology, School of Medicine
    Zebrafish are a popular vertebrate model in drug discovery. They produce a large number of small and rapidly-developing embryos. These embryos display rich visual-behaviors that can be used to screen drugs for treating retinal degeneration (RD). RD comprises blinding diseases such as Retinitis Pigmentosa, which affects 1 in 4000 people. This disease has no definitive cure, emphasizing an urgency to identify new drugs. In this review, we will discuss advantages, challenges, and research developments in using zebrafish behaviors to screen drugs in vivo. We will specifically discuss a visual-motor response that can potentially expedite discovery of new RD drugs.