10 results on '"Chi Wut Wong"'
Search Results
2. Abstract 1721: Glycerate production from intestinal fructose metabolism is increased by dietary fat, which contributes to islet cell damage and glucose intolerance
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Ian Williamson, Xiling Shen, Yanru Wu, Chi Wut Wong, Cholsoon Jang, Xiaoyang Su, Allyson Mellinger, and David Muddiman
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Cell Biology ,Molecular Biology ,Biochemistry - Published
- 2023
3. Glycerate from intestinal fructose metabolism induces islet cell damage and glucose intolerance
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Yanru Wu, Chi Wut Wong, Eric N. Chiles, Allyson L. Mellinger, Hosung Bae, Sunhee Jung, Ted Peterson, Jamie Wang, Marcos Negrete, Qiang Huang, Lihua Wang, Cholsoon Jang, David C. Muddiman, Xiaoyang Su, Ian Williamson, and Xiling Shen
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Blood Glucose ,Physiology ,Cell Biology ,Fructose ,Diet, High-Fat ,Dietary Fats ,Article ,Islets of Langerhans ,Glucose ,Diabetes Mellitus, Type 2 ,Glucose Intolerance ,Humans ,Insulin ,Molecular Biology - Abstract
Dietary fructose, especially in the context of a high-fat western diet, has been linked to type 2 diabetes. Although the effect of fructose on liver metabolism has been extensively studied, a significant portion of the fructose is first metabolized in the small intestine. Here, we report that dietary fat enhances intestinal fructose metabolism, which releases glycerate into the blood. Chronic high systemic glycerate levels induce glucose intolerance by slowly damaging pancreatic islet cells and reducing islet sizes. Our findings provide a link between dietary fructose and diabetes that is modulated by dietary fat.
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- 2021
4. 713c Dietary Fat Increases Intestinal Fructose Conversion to Glycerate that Accumlates in Circulation, Driving Glucose Intolerance
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Ian A. Williamson, Xiaoyang Su, John F. Rawls, Yanru Wu, Xiling Shen, and Chi Wut Wong
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medicine.medical_specialty ,chemistry.chemical_compound ,Endocrinology ,Hepatology ,Chemistry ,Internal medicine ,Gastroenterology ,medicine ,Fructose ,Dietary fat - Published
- 2021
5. Intravital imaging of mouse embryos
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Shupei Zhang, Jennifer McKey, Yubin Kang, Marcos Negrete, Malkiel A. Cohen, Garth Devlin, Aravind Asokan, Preetish Kadur Lakshminarasimha Murthy, Cheryl B. Bock, Xiling Shen, Rudolf Jaenisch, Nikolai Rakhilin, Blanche Capel, Kun Xiang, Ergang Wang, Lihua Wang, Chi Wut Wong, David G. Kirsch, Parker Mathews, Aliesha Garrett, Qiang Huang, Yi Wang, Debra L. Silver, Andrea R. Daniel, Victor A. Ruthig, Fernando C. Alsina, and Patrick Havlik
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0301 basic medicine ,Cell division ,Intravital Microscopy ,Placenta ,Embryonic Development ,Neovascularization, Physiologic ,Mice, Transgenic ,Biology ,Biochemistry ,Synaptic Transmission ,Article ,Retina ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Cell Movement ,Pregnancy ,medicine ,Humans ,Animals ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Multidisciplinary ,Chimera ,Electroporation ,Embryogenesis ,Uterus ,Gene Transfer Techniques ,Neural crest ,Window (computing) ,Brain ,Embryo ,Cell Biology ,Embryo, Mammalian ,Embryonic stem cell ,Cell biology ,030104 developmental biology ,medicine.anatomical_structure ,Neural Crest ,embryonic structures ,Female ,030217 neurology & neurosurgery ,Intravital microscopy ,Cell Division ,Biotechnology - Abstract
A window to the embryo Mammalian embryonic development is a complex process, continuously changing in space and time. Q. Huang et al. designed an abdominal window to image mouse embryos in utero from embryonic day 9.5 to birth. Using this technique, they visualized dynamic activities during embryonic organ formation, including neurotransmission and cell division in the brain, autophagy in the retina, viral gene delivery, and placental drug transfer. They also tracked diverging fates of human and mouse neural crest cells in interspecies chimeras. Science , this issue p. 181
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- 2019
6. Meta-analysis of preclinical studies of mesenchymal stromal cells to treat rheumatoid arthritis
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Menglu Han, Wenbin Liao, Weian Zhao, Yongjun Liu, Henry P. Farhoodi, Guangyang Liu, Linan Liu, and Chi Wut Wong
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0301 basic medicine ,Oncology ,Research paper ,IDO, indoleamine 2, 3-Dioxygenase ,AM, amniotic membrane ,AD, adipose tissues ,RA, rheumatoid arthritis ,CarrIA, carrageenan-induced arthritis ,IA, intra-articular injection ,IM, intramuscular injection ,Umbilical cord ,Arthritis, Rheumatoid ,0302 clinical medicine ,Clinical trials ,CAIA, collagen antibody-induced arthritis ,CIA, collagen-induced arthritis ,IL-6, interleukin-6 ,REML, restricted maximum-likelihood estimator ,STA, K/BxN serum-transfer arthritis ,TNF, tumor necrosis factor ,UC, umbilical cord ,AIA, adjuvant-induced arthritis ,General Medicine ,MD, mean difference ,NSAIDs, non-steroidal anti-inflammatory drugs ,3. Good health ,hPG, proteoglycan-induced arthritis ,IV, intravenous injection ,Mesenchymal stromal (or stem) cells ,medicine.anatomical_structure ,Treatment Outcome ,IBM, intra-bone marrow injection ,SM, synovial membrane ,030220 oncology & carcinogenesis ,Meta-analysis ,Rheumatoid arthritis ,MSC, mesenchymal stromal cells ,Regression Analysis ,OE, olfactory ecto ,TGF, transforming growth factors ,Intramuscular injection ,IS, intrasplenic injection ,Pre-clinical study ,medicine.medical_specialty ,SYRCLE, SYstematic Review Centre for Laboratory Animal Experimentation ,RoB, risk of bias ,ESC, embryonic stem cells ,DMARDs, non-biologic disease-modifying anti-rheumatic drugs ,GI, gingival tissue ,Mesenchymal Stem Cell Transplantation ,General Biochemistry, Genetics and Molecular Biology ,MSC ,03 medical and health sciences ,PBS, phosphate buffered saline ,SC, subcutaneous injection ,Internal medicine ,medicine ,Animals ,Humans ,ED, exfoliated deciduous teeth ,MOA, mechanism of action ,IL, intralymphatic injection ,AA, adjuvant-induced arthritis ,business.industry ,Mesenchymal stem cell ,OIA, ovalbumin-induced arthritis ,Mesenchymal Stem Cells ,hUC-MSC, MSC derived from human umbilical cords ,medicine.disease ,Confidence interval ,IP, intraperitoneal injection ,SF, synovial fluid ,Treg, regulatory T cells ,Clinical trial ,CI, confidence interval ,UCB, umbilical cord blood ,Disease Models, Animal ,030104 developmental biology ,SMD, Standardised mean difference ,BM, bone marrow ,Bone marrow ,business ,Publication Bias ,LRT, likelihood ratio test - Abstract
Background This study aims to evaluate the quality of preclinical data, determine the effect sizes, and identify experimental measures that inform efficacy using mesenchymal stromal (or stem) cells (MSC) therapy in animal models of rheumatoid arthritis (RA). Methods Literature searches were performed on MSC preclinical studies to treat RA. MSC treatment effect sizes were determined by the most commonly used outcome measures, including paw thickness, clinical score, and histological score. Findings A total of 48 studies and 94 treatment arms were included, among which 42 studies and 79 treatment arms reported that MSC improved outcomes. The effect sizes of RA treatments using MSC, when compared to the controls, were: paw thickness was ameliorated by 53.6% (95% confidence interval (CI): 26.7% −80.4%), histological score was decreased by 44.9% (95% CI: 33.3% −56.6%), and clinical score was decreased by 29.9% (95% CI: 16.7% −43.0%). Specifically, our results indicated that human umbilical cord derived MSC led to large improvements of the clinical score (−42.1%) and histological score (−51.4%). Interpretation To the best of our knowledge, this meta-analysis is to quantitatively answer whether MSC represent a robust RA treatment in animal models. It suggests that in preclinical studies, MSC have consistently exhibited therapeutic benefits. The findings demonstrate a need for considering variations in different animal models and treatment protocols in future studies using MSC to treat RA in humans to maximise the therapeutic gains in the era of precision medicine. Funds NIH [1DP2CA195763], Baylx Inc.: BI-206512, NINDS/NIH Training Grant [Award# NS082174].
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- 2019
7. Elucidation of Exosome Migration across the Blood-Brain Barrier Model In Vitro
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Egest J. Pone, Fengxia Ma, Weian Zhao, Linan Liu, Henry P. Farhoodi, Michelle A. Digman, Aude I. Segaliny, Shirley X. Zhang, Jan Zimak, Chi Wut Wong, Victor Pham, Milad Riazifar, Jenu V. Chacko, Xuning Emily Guo, and Claire C. Chen
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0301 basic medicine ,Endosome ,transcytosis ,Biology ,Endocytosis ,Blood–brain barrier ,Exosome ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,In vivo ,medicine ,exosome ,endocytosis ,blood-brain barrier (BBB) ,humanized Gaussia luciferase (hGluc) ,stroke ,Microvesicles ,3. Good health ,Cell biology ,030104 developmental biology ,medicine.anatomical_structure ,Transcytosis ,inflammation ,Modeling and Simulation ,Immunology ,Drug delivery ,cardiovascular system ,exocytosis - Abstract
The delivery of therapeutics to the central nervous system (CNS) remains a major challenge in part due to the presence of the blood-brain barrier (BBB). Recently, cell-derived vesicles, particularly exosomes, have emerged as an attractive vehicle for targeting drugs to the brain, but whether or how they cross the BBB remains unclear. Here, we investigated the interactions between exosomes and brain microvascular endothelial cells (BMECs) in vitro under conditions that mimic the healthy and inflamed BBB in vivo. Transwell assays revealed that luciferase-carrying exosomes can cross a BMEC monolayer under stroke-like, inflamed conditions (TNF-α activated) but not under normal conditions. Confocal microscopy showed that exosomes are internalized by BMECs through endocytosis, co-localize with endosomes, in effect primarily utilizing the transcellular route of crossing. Together, these results indicate that cell-derived exosomes can cross the BBB model under stroke-like conditions in vitro. This study encourages further development of engineered exosomes as drug delivery vehicles or tracking tools for treating or monitoring neurological diseases.
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- 2016
8. A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions
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Chi Wut Wong, Qing Nie, Linan Liu, Adam L. MacLean, Weian Zhao, and Tao Peng
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0301 basic medicine ,Systems biology ,Cell ,Gene regulatory network ,02 engineering and technology ,Cell fate determination ,Biology ,Mechanotransduction, Cellular ,Models, Biological ,03 medical and health sciences ,Structural Biology ,Memory ,medicine ,Cell Adhesion ,YAP/TAZ ,Cell Lineage ,Gene Regulatory Networks ,Mechanotransduction ,lcsh:QH301-705.5 ,Molecular Biology ,Cell fate decision ,Mechanical Phenomena ,Mesenchymal stem cell ,Feedback, Physiological ,ECM ,Applied Mathematics ,Stiffness sensing ,Cell Differentiation ,Mesenchymal Stem Cells ,021001 nanoscience & nanotechnology ,Computer Science Applications ,Cell biology ,Biomechanical Phenomena ,Transplantation ,030104 developmental biology ,medicine.anatomical_structure ,lcsh:Biology (General) ,Modeling and Simulation ,Nonlinear dynamics ,Mathematical modeling ,Bistability ,Stem cell ,0210 nano-technology ,Research Article - Abstract
Background Mechanical and biophysical properties of the cellular microenvironment regulate cell fate decisions. Mesenchymal stem cell (MSC) fate is influenced by past mechanical dosing (memory), but the mechanisms underlying this process have not yet been well defined. We have yet to understand how memory affects specific cell fate decisions, such as the differentiation of MSCs into neurons, adipocytes, myocytes, and osteoblasts. Results We study a minimal gene regulatory network permissive of multi-lineage MSC differentiation into four cell fates. We present a continuous model that is able to describe the cell fate transitions that occur during differentiation, and analyze its dynamics with tools from multistability, bifurcation, and cell fate landscape analysis, and via stochastic simulation. Whereas experimentally, memory has only been observed during osteogenic differentiation, this model predicts that memory regions can exist for each of the four MSC-derived cell lineages. We can predict the substrate stiffness ranges over which memory drives differentiation; these are directly testable in an experimental setting. Furthermore, we quantitatively predict how substrate stiffness and culture duration co-regulate the fate of a stem cell, and we find that the feedbacks from the differentiating MSC onto its substrate are critical to preserve mechanical memory. Strikingly, we show that re-seeding MSCs onto a sufficiently soft substrate increases the number of cell fates accessible. Conclusions Control of MSC differentiation is crucial for the success of much-lauded regenerative therapies based on MSCs. We have predicted new memory regions that will directly impact this control, and have quantified the size of the memory region for osteoblasts, as well as the co-regulatory effects on cell fates of substrate stiffness and culture duration. Taken together, these results can be used to develop novel strategies to better control the fates of MSCs in vitro and following transplantation. Electronic supplementary material The online version of this article (doi:10.1186/s12918-017-0429-x) contains supplementary material, which is available to authorized users.
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- 2017
9. Intravital imaging of mouse embryos.
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Qiang Huang, Cohen, Malkiel A., Alsina, Fernando C., Devlin, Garth, Garrett, Aliesha, McKey, Jennifer, Havlik, Patrick, Rakhilin, Nikolai, Ergang Wang, Kun Xiang, Mathews, Parker, Lihua Wang, Bock, Cheryl, Ruthig, Victor, Yi Wang, Negrete, Marcos, Chi Wut Wong, Murthy, Preetish K. L., Shupei Zhang, and Daniel, Andrea R.
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- 2020
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10. Mechanoresponsive stem cells to target cancer metastases through biophysical cues
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Henry P. Farhoodi, Wenbin Liao, Mengrou Lu, Devon A. Lawson, Lily Nguyen, Michelle A. Digman, Timothy L. Downing, Jenu V. Chacko, Aude I. Segaliny, Shirley X. Zhang, Claire C. Chen, Chi Wut Wong, George Polovin, Linan Liu, Egest J. Pone, and Weian Zhao
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0301 basic medicine ,Pathology ,medicine.medical_specialty ,Biology ,Article ,03 medical and health sciences ,Mechanobiology ,Mice ,0302 clinical medicine ,In vivo ,medicine ,Animals ,Humans ,Neoplasm Metastasis ,Mesenchymal stem cell ,Cancer ,Mesenchymal Stem Cells ,General Medicine ,medicine.disease ,Metastatic breast cancer ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cancer cell ,Cancer research ,Mechanosensitive channels ,Stem cell ,Signal Transduction - Abstract
Despite decades of effort, little progress has been made to improve the treatment of cancer metastases. To leverage the central role of the mechanoenvironment in cancer metastasis, we present a mechanoresponsive cell system (MRCS) to selectively identify and treat cancer metastases by targeting the specific biophysical cues in the tumor niche in vivo. Our MRCS uses mechanosensitive promoter-driven mesenchymal stem cell (MSC)-based vectors, which selectively home to and target cancer metastases in response to specific mechanical cues to deliver therapeutics to effectively kill cancer cells, as demonstrated in a metastatic breast cancer mouse model. Our data suggest a strong correlation between collagen cross-linking and increased tissue stiffness at the metastatic sites, where our MRCS is specifically activated by the specific cancer-associated mechano-cues. MRCS has markedly reduced deleterious effects compared to MSCs constitutively expressing therapeutics. MRCS indicates that biophysical cues, specifically matrix stiffness, are appealing targets for cancer treatment due to their long persistence in the body (measured in years), making them refractory to the development of resistance to treatment. Our MRCS can serve as a platform for future diagnostics and therapies targeting aberrant tissue stiffness in conditions such as cancer and fibrotic diseases, and it should help to elucidate mechanobiology and reveal what cells "feel" in the microenvironment in vivo.
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- 2016
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