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129 results on '"Liu, Mengxing"'

15. miR‐1246 promotes osteosarcoma cell migration via NamiRNA‐enhancer network dependent on Argonaute 2.

Author

Yang, Shuai, Zou, Qingping, Liang, Ying, Zhang, Dapeng, Peng, Lina, Li, Wei, Li, Wenxuan, Liu, Mengxing, Tong, Ying, Chen, Lu, Xu, Peng, Yang, Zhicong, Zhou, Kaicheng, Xiao, Jianru, Wang, Hailin, and Yu, Wenqiang

Subjects
GENE enhancers, CELL migration, OSTEOSARCOMA, RIBONUCLEASE H, GENETIC regulation, GENE expression
Abstract

High metastatic propensity of osteosarcoma leads to its therapeutic failure and poor prognosis. Although nuclear activation miRNAs (NamiRNAs) are reported to activate gene transcription via targeting enhancer and further promote tumor metastasis, it remains uncertain whether NamiRNAs regulate osteosarcoma metastasis and their exact mechanism. Here, we found that extracellular vesicles of the malignant osteosarcoma cells (143B) remarkably increased the migratory abilities of MNNG cells representing the benign osteosarcoma cells by two folds, which attributed to their high miR‐1246 levels. Specially, miR‐1246 located in nucleus could activate the migration gene expression (such as MMP1) to accelerate MNNG cell migration through elevating the enhancer activities via increasing H3K27ac enrichment. Instead, MMP1 expression was dramatically inhibited after Argonaute 2 (AGO2) knockdown. Notably, in vitro assays demonstrated that AGO2 recognized the hybrids of miR‐1246 and its enhancer DNA via PAZ domains to prevent their degradation from RNase H and these protective roles of AGO2 may favor the gene activation by miR‐1246 in vivo. Collectively, our findings suggest that miR‐1246 could facilitate osteosarcoma metastasis through interacting with enhancer to activate gene expression dependent on AGO2, highlighting the nuclear AGO2 as a guardian for NamiRNA‐targeted gene activation and the potential of miR‐1246 for osteosarcoma metastasis therapy. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Morphological and Physiological Mechanisms of Melatonin on Delaying Drought-Induced Leaf Senescence in Cotton

Author

Yang, Kai, primary, Sun, Hongchun, additional, Liu, Mengxing, additional, Zhu, Lingxiao, additional, Zhang, Ke, additional, Zhang, Yongjiang, additional, Li, Anchang, additional, Zhang, Haina, additional, Zhu, Jijie, additional, Liu, Xiaoqing, additional, Bai, Zhiying, additional, Liu, Liantao, additional, and Li, Cundong, additional

Published
2023
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23. Reproducible Tract Profiles 2 (RTP2) suite, from diffusion MRI acquisition to clinical practice and research

Author

Lerma‑Usabiaga, Garikoitz, Liu, Mengxing, Paz‑Alonso, Pedro M., Wandell, Brian A., Lerma‑Usabiaga, Garikoitz, Liu, Mengxing, Paz‑Alonso, Pedro M., and Wandell, Brian A.

Abstract

Published: 2023 Apr 12, Diffusion MRI is a complex technique, where new discoveries and implementations occur at a fast pace. The expertise needed for data analyses and accurate and reproducible results is increasingly demanding and requires multidisciplinary collaborations. In the present work we introduce Reproducible Tract Profiles 2 (RTP2), a set of flexible and automated methods to analyze anatomical MRI and diffusion weighted imaging (DWI) data for reproducible tractography. RTP2 reads structural MRI data and processes them through a succession of serialized containerized analyses. We describe the DWI algorithms used to identify white-matter tracts and their summary metrics, the flexible architecture of the platform, and the tools to programmatically access and control the computations. The combination of these three components provides an easy-to-use automatized tool developed and tested over 20 years, to obtain usable and reliable state-of-the-art diffusion metrics at the individual and group levels for basic research and clinical practice.

Published
2023

24. High-Resolution Tractography Protocol to Investigate the Pathways between Human Mediodorsal Thalamic Nucleus and Prefrontal Cortex.

Author

Liu Mengxing, Lerma-Usabiaga, Garikoitz, Clascá, Francisco, and Paz-Alonso, Pedro M.

Subjects
*PREFRONTAL cortex, *THALAMIC nuclei, *DIFFUSION magnetic resonance imaging, *WHITE matter (Nerve tissue), *COGNITIVE neuroscience, *CLINICAL neurosciences
Abstract

Animal studies have established that the mediodorsal nucleus (MD) of the thalamus is heavily and reciprocally connected with all areas of the prefrontal cortex (PFC). In humans, however, these connections are difficult to investigate. High-resolution imaging protocols capable of reliably tracing the axonal tracts linking the human MD with each of the PFC areas may thus be key to advance our understanding of the variation, development, and plastic changes of these important circuits, in health and disease. Here, we tested in adult female and male humans the reliability of a new reconstruction protocol based on in vivo diffusion MRI to trace, measure, and characterize the fiber tracts interconnecting the MD with 39 human PFC areas per hemisphere. Our protocol comprised the following three components: (1) defining regions of interest; (2) preprocessing diffusion data; and, (3) modeling white matter tracts and tractometry. This analysis revealed largely separate PFC territories of reciprocal MD–PFC tracts bearing striking resemblance with the topographic layout observed in macaque connection-tracing studies. We then examined whether our protocol could reliably reconstruct each of these MD–PFC tracts and their profiles across test and retest sessions. Results revealed that this protocol was able to trace and measure, in both left and right hemispheres, the trajectories of these 39 area-specific axon bundles with good-to-excellent test-retest reproducibility. This protocol, which has been made publicly available, may be relevant for cognitive neuroscience and clinical studies of normal and abnormal PFC function, development, and plasticity. [ABSTRACT FROM AUTHOR]

Published
2023
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27. Human thalamocortical connections and their involvement in language systems

Author

Liu, Mengxing, Paz Alonso, Pedro M., Lerma Usabiaga, Garikoitz, and Carreiras Valiña, Manuel Francisco

Subjects
crecimiento animal, neurophysiology, neurofisiología, animal growth
Abstract

139 p. During evolution the expansion of the neocortex has been linked with the emergence of higher level cognitive functions, such as reasoning, abstract thinking, or language in human beings. Current research on cognitive neuroscience is mainly focused on the cerebral cortex. Whereas the thalamus is a structure that has extensive white-matter connections with the cerebral cortex, its expansion during evolution is parallel to the expansion of the neocortex. The thalamocortical connections are involved in communication between cortical areas. Thus, to fully understand the neural basis of cognition, a better understanding of the role of the thalamus in cortical function is necessary. The present doctoral dissertation is focused on the structure and function of the thalamus: the first study proposes a reproducible protocol to reconstruct the first-order thalamic white-matter tracts from diffusion-weighted imaging data; the second study investigates the higher-order thalamic white-matter tracts and a similar protocol is proposed to reconstruction those tracts; the third study uses task-based fMRI to examine the involvement of first-order thalamic nuclei in the main language systems.the current dissertation successfully reconstructed first-order and higher-order thalamic white-matter tracts from DWI data, and has proved high reproducibility of the reconstruction protocol. This protocol could benefit the tractography community to better understand the structural connectivity of the thalamus with cortical and subcortical structures and facilitate the research on thalamocortical pathways in humans. We also found evidence for differences in the processing of linguistic and nonlinguistic stimuli in first-order thalamic nuclei through a task-based fMRI study. These results suggest that the first-order thalamic nuclei play roles in human language that are beyond relaying sensory information from periphery to cerebral cortex. These findings are important to push forward our understanding on the role of subcortical structures, such as the thalamus, in human language functions, and to urge a revisitation of existing language models taking the thalamus into consideration.

Published
2022

30. Human thalamocortical connections and their involvement in language systems.

Author

Paz Alonso, Pedro M., Lerma Usabiaga, Garikoitz, Carreiras Valiña, Manuel Francisco, Lengua Vasca y Comunicación, Hizkuntza eta sistema informatikoak, Liu, Mengxing, Paz Alonso, Pedro M., Lerma Usabiaga, Garikoitz, Carreiras Valiña, Manuel Francisco, Lengua Vasca y Comunicación, Hizkuntza eta sistema informatikoak, and Liu, Mengxing

Abstract

139 p., During evolution the expansion of the neocortex has been linked with the emergence of higher level cognitive functions, such as reasoning, abstract thinking, or language in human beings. Current research on cognitive neuroscience is mainly focused on the cerebral cortex. Whereas the thalamus is a structure that has extensive white-matter connections with the cerebral cortex, its expansion during evolution is parallel to the expansion of the neocortex. The thalamocortical connections are involved in communication between cortical areas. Thus, to fully understand the neural basis of cognition, a better understanding of the role of the thalamus in cortical function is necessary. The present doctoral dissertation is focused on the structure and function of the thalamus: the first study proposes a reproducible protocol to reconstruct the first-order thalamic white-matter tracts from diffusion-weighted imaging data; the second study investigates the higher-order thalamic white-matter tracts and a similar protocol is proposed to reconstruction those tracts; the third study uses task-based fMRI to examine the involvement of first-order thalamic nuclei in the main language systems.the current dissertation successfully reconstructed first-order and higher-order thalamic white-matter tracts from DWI data, and has proved high reproducibility of the reconstruction protocol. This protocol could benefit the tractography community to better understand the structural connectivity of the thalamus with cortical and subcortical structures and facilitate the research on thalamocortical pathways in humans. We also found evidence for differences in the processing of linguistic and nonlinguistic stimuli in first-order thalamic nuclei through a task-based fMRI study. These results suggest that the first-order thalamic nuclei play roles in human language that are beyond relaying sensory information from periphery to cerebral cortex. These findings are important to push forward our understand

Published
2022

34. SARS-CoV-2 RNA elements share human sequence identity and upregulate hyaluronan via NamiRNA-enhancer network

Author

Li, Wei, primary, Yang, Shuai, additional, Xu, Peng, additional, Zhang, Dapeng, additional, Tong, Ying, additional, Chen, Lu, additional, Jia, Ben, additional, Li, Ang, additional, Lian, Cheng, additional, Ru, Daoping, additional, Zhang, Baolong, additional, Liu, Mengxing, additional, Chen, Cancan, additional, Fu, Weihui, additional, Yuan, Songhua, additional, Gu, Chenjian, additional, Wang, Lu, additional, Li, Wenxuan, additional, Liang, Ying, additional, Yang, Zhicong, additional, Ren, Xiaoguang, additional, Wang, Shaoxuan, additional, Zhang, Xiaoyan, additional, Song, Yuanlin, additional, Xie, Youhua, additional, Lu, Hongzhou, additional, Xu, Jianqing, additional, Wang, Hailin, additional, and Yu, Wenqiang, additional

Published
2022
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35. Hymecromone: A Clinical Prescription Hyaluronan Inhibitor for Efficiently Blocking COVID-19 Progression

Author

Yang, Shuai, primary, Ling, Yun, additional, Zhao, Fang, additional, Li, Wei, additional, Song, Zhigang, additional, Wang, Lu, additional, Li, Qiuting, additional, Liu, Mengxing, additional, Tong, Ying, additional, Chen, Lu, additional, Ru, Daoping, additional, Zhang, Tongsheng, additional, Zhou, Kaicheng, additional, Zhang, Baolong, additional, Xu, Peng, additional, Yang, Zhicong, additional, Li, Wenxuan, additional, Song, Yuanlin, additional, Xu, Jianqing, additional, Zhu, Tongyu, additional, Shan, Fei, additional, Yu, Wenqiang, additional, and Lu, Hongzhou, additional

Published
2021
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36. Reactivation of tumour suppressor in breast cancer by enhancer switching through NamiRNA network

Author

Liang, Ying, primary, Lu, Qi, additional, Li, Wei, additional, Zhang, Dapeng, additional, Zhang, Fanglin, additional, Zou, Qingping, additional, Chen, Lu, additional, Tong, Ying, additional, Liu, Mengxing, additional, Wang, Shaoxuan, additional, Li, Wenxuan, additional, Ren, Xiaoguang, additional, Xu, Peng, additional, Yang, Zhicong, additional, Dong, Shihua, additional, Zhang, Baolong, additional, Huang, Yanni, additional, Li, Daqiang, additional, Wang, Hailin, additional, and Yu, Wenqiang, additional

Published
2021
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38. Prediction of cardiac arrest in critically ill patients based on bedside vital signs monitoring

Author

Jin Xingliang, Ye Wenyu, Liu Mengxing, Wang Cheng, Yang Kang, He Xianliang, Sun Zehui, Li Yijing, and Zhang Shengyu

Subjects
medicine.medical_specialty, Receiver operating characteristic, Vital Signs, business.industry, Critically ill, Critical Illness, Vital signs, Early detection, Health Informatics, Cross-validation, Heart Arrest, Computer Science Applications, Machine Learning, Intensive care, Emergency medicine, Humans, Medicine, Extreme gradient boosting, business, Software, Retrospective Studies, Interpretability
Abstract

Purpose Cardiac arrest (CA) is the most serious death-related event in critically ill patients and the early detection of CA is beneficial to reduce mortality according to clinical research. This study aims to develop and verify a real-time, interpretable machine learning model, namely cardiac arrest prediction index (CAPI), to predict CA of critically ill patients based on bedside vital signs monitoring. Methods A total of 1,860 patients were analyzed retrospectively from the Medical Information Mart for Intensive Care III (MIMIC-III) database. Based on vital signs, we extracted a total of 43 features for building machine learning model. Extreme Gradient Boosting (XGBoost) was used to develop a real-time prediction model. Three-fold cross validation determined the consistency of model accuracy. SHAP value was used to capture the overall and real-time interpretability of the model. Results On the test set, CAPI predicted 95% of CA events, 80% of which were identified more than 25 min in advance, resulting in an area under the receiver operating characteristic curve (AUROC) of 0.94. The sensitivity, specificity, area under the precision-recall curve (AUPRC) and F1-score were 0.86, 0.85, 0.12 and 0.05, respectively. Conclusion CAPI can help predict patients with CA in the vital signs monitoring at bedside. Compared with previous studies, CAPI can give more timely notifications to doctors for CA events. However, current performance was at the cost of alarm fatigue. Future research is still needed to achieve better clinical application.

Published
2022

42. Human Identical Sequences of SARS-CoV-2 Promote Clinical Progression of COVID-19 by Upregulating Hyaluronan via NamiRNA-Enhancer Network

Author

Li, Wei, primary, Yang, Shuai, additional, Xu, Peng, additional, Zhang, Dapeng, additional, Tong, Ying, additional, Chen, Lu, additional, Jia, Ben, additional, Li, Ang, additional, Ru, Daoping, additional, Zhang, Baolong, additional, Liu, Mengxing, additional, Lian, Cheng, additional, Chen, Cancan, additional, Fu, Weihui, additional, Yuan, Songhua, additional, Ren, Xiaoguang, additional, Liang, Ying, additional, Yang, Zhicong, additional, Li, Wenxuan, additional, Wang, Shaoxuan, additional, Zhang, Xiaoyan, additional, Lu, Hongzhou, additional, Xu, Jianqing, additional, Wang, Hailing, additional, and Yu, Wenqiang, additional

Published
2020
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48. D ude T x

Author

Liu, Mengxing, primary, Zhang, Mingxing, additional, Chen, Kang, additional, Qian, Xuehai, additional, Wu, Yongwei, additional, Zheng, Weimin, additional, and Ren, Jinglei, additional

Published
2018
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50. DudeTM

Author

Liu, Mengxing, primary, Zhang, Mingxing, additional, Chen, Kang, additional, Qian, Xuehai, additional, Wu, Yongwei, additional, Zheng, Weimin, additional, and Ren, Jinglei, additional

Published
2017
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