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  1. Article: Current Opinion for Hypertension in Renal Fibrosis.

    Sun, Hai-Jian

    Advances in experimental medicine and biology

    2019  Volume 1165, Page(s) 37–47

    Abstract: Arterial hypertension remains to be a serious problem with considerable morbidity and mortality worldwide in the present age. Hypertension is a major risk factor for cardiovascular diseases such as stroke, myocardial infarction, renal failure, and heart ... ...

    Abstract Arterial hypertension remains to be a serious problem with considerable morbidity and mortality worldwide in the present age. Hypertension is a major risk factor for cardiovascular diseases such as stroke, myocardial infarction, renal failure, and heart failure. Hypertensive nephropathy is the second leading cause of death in chronic kidney disease (CKD) around the world. Long-time hypertension loading results in renal interstitial fibrosis, which is associated with aberrant activation of renal fibroblasts and excessive generation of extracellular matrix (ECM) proteins. Increasing evidence supported that proteinuria, tubular hypertrophy, oxidative stress, activation of renin-aldosterone-angiotensin system (RAAS), collagen turnover, chronic inflammation, and vasoactive substances synergistically contributed to the pathogenesis of hypertensive renal fibrosis. However, the mechanisms involving the pathogenesis of hypertensive renal fibrosis are complex and not fully understood. Also, the effective clinical therapy to halt or even reverse renal fibrosis in hypertension is still limited. In this chapter, we aimed to provide an overview of the main pathophysiologic and mechanistic features of renal fibrosis under hypertensive state. The completion of the studies in these directions would improve our understanding of renal fibrosis in hypertension and also help us better screen treatment strategies for preventing renal destruction associated with hypertension.
    MeSH term(s) Fibrosis ; Humans ; Hypertension/complications ; Hypertrophy ; Kidney/pathology ; Kidney Diseases/complications ; Oxidative Stress ; Proteinuria ; Renin-Angiotensin System
    Language English
    Publishing date 2019-08-09
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2214-8019 ; 0065-2598
    ISSN (online) 2214-8019
    ISSN 0065-2598
    DOI 10.1007/978-981-13-8871-2_3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning

    Zhu, Ethan / Sun, Haijian / Ji, Mingyue

    Fundamentals, Methodologies, and Challenges

    2024  

    Abstract: Channel modeling is fundamental in advancing wireless systems and has thus attracted considerable research focus. Recent trends have seen a growing reliance on data-driven techniques to facilitate the modeling process and yield accurate channel ... ...

    Abstract Channel modeling is fundamental in advancing wireless systems and has thus attracted considerable research focus. Recent trends have seen a growing reliance on data-driven techniques to facilitate the modeling process and yield accurate channel predictions. In this work, we first provide a concise overview of data-driven channel modeling methods, highlighting their limitations. Subsequently, we introduce the concept and advantages of physics-informed neural network (PINN)-based modeling and a summary of recent contributions in this area. Our findings demonstrate that PINN-based approaches in channel modeling exhibit promising attributes such as generalizability, interpretability, and robustness. We offer a comprehensive architecture for PINN methodology, designed to inform and inspire future model development. A case-study of our recent work on precise indoor channel prediction with semantic segmentation and deep learning is presented. The study concludes by addressing the challenges faced and suggesting potential research directions in this field.

    Comment: Submitted to IEEE Magazine for potential future publications
    Keywords Computer Science - Information Theory ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2024-01-02
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: HawkRover

    Zhu, Ethan / Sun, Haijian / Ji, Mingyue

    An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning

    2024  

    Abstract: Connected and automated vehicles (CAVs) have become a transformative technology that can change our daily life. Currently, millimeter-wave (mmWave) bands are identified as the promising CAV connectivity solution. While it can provide high data rate, ... ...

    Abstract Connected and automated vehicles (CAVs) have become a transformative technology that can change our daily life. Currently, millimeter-wave (mmWave) bands are identified as the promising CAV connectivity solution. While it can provide high data rate, their realization faces many challenges such as high attenuation during mmWave signal propagation and mobility management. Existing solution has to initiate pilot signal to measure channel information, then apply signal processing to calculate the best narrow beam towards the receiver end to guarantee sufficient signal power. This process takes significant overhead and time, hence not suitable for vehicles. In this study, we propose an autonomous and low-cost testbed to collect extensive co-located mmWave signal and other sensors data such as LiDAR (Light Detection and Ranging), cameras, ultrasonic, etc, traditionally for ``automated'', to facilitate mmWave vehicular communications. Intuitively, these sensors can build a 3D map around the vehicle and signal propagation path can be estimated, eliminating iterative the process via pilot signals. This multimodal data fusion, together with AI, is expected to bring significant advances in ``connected'' research.

    Comment: submitted to IEEE conferences for future publications
    Keywords Computer Science - Information Theory ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 629
    Publishing date 2024-01-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Editorial: Hypertension: Novel Mechanisms of Nervous and Humoral Regulation.

    Li, Peng / Sun, Haijian / Tang, Haiyang

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 937673

    Language English
    Publishing date 2022-06-15
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.937673
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Spatial Channel State Information Prediction with Generative AI

    Zhang, Lihao / Sun, Haijian / Zeng, Yong / Hu, Rose Qingyang

    Towards Holographic Communication and Digital Radio Twin

    2024  

    Abstract: As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies. However, efficient management method of the large-scale ... ...

    Abstract As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies. However, efficient management method of the large-scale antenna arrays deployed by those radio technologies is crucial. Traditional management methods are mainly reactive, usually based on feedback from users to adapt to the dynamic wireless channel. However, a more promising approach lies in the prediction of spatial channel state information (spatial-CSI), which is an all-inclusive channel characterization and consists of all the feasible line-of-sight (LoS) and non-line-of-sight (NLoS) paths between the transmitter (Tx) and receiver (Rx), with the three-dimension (3D) trajectory, attenuation, phase shift, delay, and polarization of each path. Advances in hardware and neural networks make it possible to predict such spatial-CSI using precise environmental information, and further look into the possibility of holographic communication, which implies complete control over every aspect of the radio waves emitted. Based on the integration of holographic communication and digital twin, we proposed a new framework, digital radio twin, which takes advantages from both the digital world and deterministic control over radio waves, supporting a wide range of high-level applications. As a preliminary attempt towards this visionary direction, in this paper, we explore the use of generative artificial intelligence (AI) to pinpoint the valid paths in a given environment, demonstrating promising results, and highlighting the potential of this approach in driving forward the evolution of 6G wireless communication technologies.

    Comment: submitted to IEEE for potential publication
    Keywords Computer Science - Information Theory ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 600
    Publishing date 2024-01-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Extracellular Vesicle-Mediated Vascular Cell Communications in Hypertension: Mechanism Insights and Therapeutic Potential of ncRNAs.

    Zhang, Ji-Ru / Sun, Hai-Jian

    Cardiovascular drugs and therapy

    2020  Volume 36, Issue 1, Page(s) 157–172

    Abstract: Hypertension, a chronic and progressive disease, is an outstanding public health issue that affects nearly 40% of the adults worldwide. The increasing prevalence of hypertension is one of the leading causes of cardiovascular morbidity and mortality. ... ...

    Abstract Hypertension, a chronic and progressive disease, is an outstanding public health issue that affects nearly 40% of the adults worldwide. The increasing prevalence of hypertension is one of the leading causes of cardiovascular morbidity and mortality. Despite of the available treatment medications, an increasing number of hypertensive individuals continues to have uncontrolled blood pressure. In the vasculature, endothelial cells, vascular smooth muscle cells (VSMCs), and adventitial fibroblasts play a fundamental role in vascular homeostasis. The aberrant interactions between vascular cells might lead to hypertension and vascular remodeling. Identification of the precise mechanisms of vascular remodeling may be highly required to develop effective therapeutic approaches for hypertension. Recently, extracellular vesicle-mediated transfer of proteins or noncoding RNAs (ncRNAs) between vascular cells holds promise for the treatment of hypertension. Especially, extracellular vesicle-packaging ncRNAs have gained enormous attention of basic and clinical scientists because of their tremendous potential to act as novel clinical biomarkers and therapeutic targets of hypertension. Here we will discuss the current findings focusing on the emerging roles of extracellular vesicle-carrying ncRNAs in the pathologies of hypertension and its associated vascular remodeling. Furthermore, we will highlight the potential of extracellular vesicles and ncRNAs as biomarkers and therapeutic targets for hypertension. The future research directions on the challenges and perspectives of extracellular vesicles and ncRNAs in hypertensive vascular remodeling are also proposed.
    MeSH term(s) Animals ; Cell Communication/physiology ; Endothelial Cells/metabolism ; Extracellular Vesicles/metabolism ; Fibroblasts/metabolism ; Humans ; Hypertension/genetics ; Hypertension/physiopathology ; Hypertension/therapy ; Myocytes, Smooth Muscle/cytology ; RNA, Untranslated/genetics ; Vascular Remodeling/physiology
    Chemical Substances RNA, Untranslated
    Language English
    Publishing date 2020-09-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 639068-7
    ISSN 1573-7241 ; 0920-3206
    ISSN (online) 1573-7241
    ISSN 0920-3206
    DOI 10.1007/s10557-020-07080-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: LncRNAs and circular RNAs as endothelial cell messengers in hypertension: mechanism insights and therapeutic potential.

    Zhang, Ji-Ru / Sun, Hai-Jian

    Molecular biology reports

    2020  Volume 47, Issue 7, Page(s) 5535–5547

    Abstract: Endothelial cells are major constituents in the vasculature, and they act as important players in vascular homeostasis via secretion/release of vasodilators and vasoconstrictors. In healthy arteries, endothelial cells play a key role in the regulation of ...

    Abstract Endothelial cells are major constituents in the vasculature, and they act as important players in vascular homeostasis via secretion/release of vasodilators and vasoconstrictors. In healthy arteries, endothelial cells play a key role in the regulation of vascular tone, cellular adhesion, and angiogenesis. A shift in the functions of the blood vessels toward vasoconstriction, proinflammatory state, oxidative stress and deficiency of nitric oxide (NO) might lead to endothelial dysfunction, a key event implicated in the pathophysiology of cardiovascular metabolic diseases, including diabetes, atherosclerosis, arterial hypertension and pulmonary arterial hypertension (PAH). Thus, reversibility of endothelial dysfunction may be beneficial for maintaining vascular homeostasis. In recent years, accumulative evidence has documented that noncoding RNAs (ncRNAs) are critically involved in endothelial homeostasis. Specifically, long noncoding RNAs (lncRNAs) and circular RNAs are highly expressed in endothelial cells where they serve as important mediators in normal endothelial functions. Dysregulation of lncRNAs and circular RNAs has been tightly associated with hypertension-related endothelial dysfunction. In this review, we will summarize the current progression and underlying mechanisms of lncRNA and circular RNA in endothelial cell biology under hypertensive conditions. We will also highlight their potential as biomarkers or therapeutic targets for hypertension and its associated endothelial dysfunction.
    MeSH term(s) Animals ; Arteries/metabolism ; Atherosclerosis/genetics ; Biomarkers/metabolism ; Cardiovascular Diseases/genetics ; Diabetes Mellitus/genetics ; Endothelial Cells/metabolism ; Endothelial Cells/physiology ; Homeostasis/genetics ; Homeostasis/physiology ; Humans ; Hypertension/genetics ; Hypertension/metabolism ; Hypertension/pathology ; Nitric Oxide/metabolism ; Oxidative Stress ; RNA, Circular/genetics ; RNA, Circular/metabolism ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism
    Chemical Substances Biomarkers ; RNA, Circular ; RNA, Long Noncoding ; Nitric Oxide (31C4KY9ESH)
    Language English
    Publishing date 2020-06-21
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 186544-4
    ISSN 1573-4978 ; 0301-4851
    ISSN (online) 1573-4978
    ISSN 0301-4851
    DOI 10.1007/s11033-020-05601-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: MiRNAs, lncRNAs, and circular RNAs as mediators in hypertension-related vascular smooth muscle cell dysfunction.

    Zhang, Ji-Ru / Sun, Hai-Jian

    Hypertension research : official journal of the Japanese Society of Hypertension

    2020  Volume 44, Issue 2, Page(s) 129–146

    Abstract: Hypertension is a multifactorial disorder that involves complex genetic and environmental factors. Vascular smooth muscle cells (VSMCs) are important components of blood vessels, and their dysregulation has been shown to be involved in vascular ... ...

    Abstract Hypertension is a multifactorial disorder that involves complex genetic and environmental factors. Vascular smooth muscle cells (VSMCs) are important components of blood vessels, and their dysregulation has been shown to be involved in vascular remodeling during the development of systemic hypertension and pulmonary arterial hypertension (PAH) via multiple mechanisms, such as aberrant apoptosis, phenotype conversion, proliferation, and migration of VSMCs. With increasing advances in microarrays and next-generation sequencing, nonprotein-coding RNAs (ncRNAs) have attracted much attention due to their numerous functions in health and diseases. Among ncRNAs, microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs are emerging as novel modulators in the biological behaviors of VSMCs, especially in systemic hypertension and PAH. Studies have recommended miRNAs, lncRNAs, and circular RNAs as predictive biomarkers and therapeutic targets for systemic hypertension and PAH. In this review, we summarize the current studies focusing on the roles of VSMC-derived miRNAs, lncRNAs and circular RNAs in the pathologies of systemic hypertension and PAH. MiRNAs, lncRNAs, and circular RNAs might serve as attractive targets for the prevention and treatment of VSMC dysfunction-linked systemic hypertension and PAH.
    MeSH term(s) Humans ; Hypertension/genetics ; MicroRNAs/genetics ; Muscle, Smooth, Vascular ; Myocytes, Smooth Muscle ; RNA, Circular ; RNA, Long Noncoding/genetics
    Chemical Substances MicroRNAs ; RNA, Circular ; RNA, Long Noncoding
    Language English
    Publishing date 2020-09-23
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1175297-x
    ISSN 1348-4214 ; 0916-9636
    ISSN (online) 1348-4214
    ISSN 0916-9636
    DOI 10.1038/s41440-020-00553-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Roles of circular RNAs in diabetic complications: From molecular mechanisms to therapeutic potential.

    Zhang, Ji-Ru / Sun, Hai-Jian

    Gene

    2020  Volume 763, Page(s) 145066

    Abstract: Diabetes is characterized by changed homeostasis of blood glucose levels, which is associated with various complications, including cardiomyopathy, atherosclerosis, endothelial dysfunction, nephropathy, retinopathy and neuropathy. In recent years, ... ...

    Abstract Diabetes is characterized by changed homeostasis of blood glucose levels, which is associated with various complications, including cardiomyopathy, atherosclerosis, endothelial dysfunction, nephropathy, retinopathy and neuropathy. In recent years, accumulative evidence has demonstrated that circular RNAs are identified as a novel type of noncoding RNAs (ncRNAs) involving in the regulation of various physiological processes and pathologic conditions. Specifically, the emergence of complications response to diabetes is finely controlled by a complex gene regulatory network in which circular RNAs play a critical role. Recently, circular RNAs are emerging as messengers that could influence cellular functions under diabetic conditions. Dysregulation of circular RNAs has been closely linked to the pathophysiology of diabetes-related complications. In this review, we aimed to summarize the current progression and underlying mechanisms of circular RNA in the development of diabetes-related complications. We will also provide an overview of circular RNA-regulated cell communications in different types of cells that have been linked to diabetic complications. We anticipated that the completion of this review will provide potential clues for developing novel circular RNAs-based biomarkers or therapeutic targets for diabetes and its associated complications.
    MeSH term(s) Animals ; Biomarkers/metabolism ; Diabetic Angiopathies/genetics ; Diabetic Angiopathies/metabolism ; Diabetic Angiopathies/pathology ; Diabetic Angiopathies/therapy ; Diabetic Nephropathies/genetics ; Diabetic Nephropathies/metabolism ; Diabetic Nephropathies/pathology ; Diabetic Nephropathies/therapy ; Diabetic Neuropathies/genetics ; Diabetic Neuropathies/metabolism ; Diabetic Neuropathies/pathology ; Diabetic Neuropathies/therapy ; Genetic Therapy/methods ; Humans ; Islets of Langerhans/metabolism ; RNA, Circular/genetics ; RNA, Circular/metabolism
    Chemical Substances Biomarkers ; RNA, Circular
    Language English
    Publishing date 2020-08-19
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 391792-7
    ISSN 1879-0038 ; 0378-1119
    ISSN (online) 1879-0038
    ISSN 0378-1119
    DOI 10.1016/j.gene.2020.145066
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Research on the medication rules of post-surgical thyroid cancer treatment by Professor Xu Zhiyin (based on multi-dimensional data mining).

    Sun, Hai-Jian / Li, Liu / Zhu, Yong-Kang / Zhu, Hong

    Asian journal of surgery

    2022  Volume 45, Issue 5, Page(s) 1222–1224

    MeSH term(s) Data Mining ; Humans ; Medicine, Chinese Traditional ; Postoperative Period ; Thyroid Neoplasms/drug therapy ; Thyroid Neoplasms/surgery
    Language English
    Publishing date 2022-02-28
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.02.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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