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Panoramic variation analysis of a family with neurodevelopmental disorders caused by biallelic loss-of-function

Frontiers of Medicine doi: 10.1007/s11684-023-1006-x

Abstract: Highly clinical and genetic heterogeneity of neurodevelopmental disorders presents a major challenge

Keywords： neurodevelopmental disorder     autosomal recessive intellectual disability     consanguinity     spastic paraplegia    

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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological

Ziqi Chen, Xiaoqi Huang, Qiyong Gong, Bharat B. Biswal

Frontiers of Medicine 2021, Volume 15, Issue 4,   Pages 528-540 doi: 10.1007/s11684-020-0798-1

Abstract: Major depressive disorder (MDD) causes great decrements in health and quality of life with incrementsforeseeable clinical applications for different MRI modalities were introduced according to their role in disorder

Keywords： psychoradiology     major depressive disorder     MRI     biomarker    

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Relationship between expression of hepatocyte grow factor and apoptosis of trophoblasts in hypertensive disorder

OUYANG Shan, ZHANG Qinghua, QIAO Fuyuan

Frontiers of Medicine 2007, Volume 1, Issue 4,   Pages 386-389 doi: 10.1007/s11684-007-0075-6

Abstract: growth factor (HGF) and Fas in placentas of uncomplicated pregnant women and those with hypertensive disorder

Keywords： pregnancy     concentration     possible relationship     responsible     hepatocyte    

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The development and benefits of metformin in various diseases

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 388-431 doi: 10.1007/s11684-023-0998-6

Abstract: Metformin has been used for the treatment of type II diabetes mellitus for decades due to its safety, low cost, and outstanding hypoglycemic effect clinically. The mechanisms underlying these benefits are complex and still not fully understood. Inhibition of mitochondrial respiratory-chain complex I is the most described downstream mechanism of metformin, leading to reduced ATP production and activation of AMP-activated protein kinase (AMPK). Meanwhile, many novel targets of metformin have been gradually discovered. In recent years, multiple pre-clinical and clinical studies are committed to extend the indications of metformin in addition to diabetes. Herein, we summarized the benefits of metformin in four types of diseases, including metabolic associated diseases, cancer, aging and age-related diseases, neurological disorders. We comprehensively discussed the pharmacokinetic properties and the mechanisms of action, treatment strategies, the clinical application, the potential risk of metformin in various diseases. This review provides a brief summary of the benefits and concerns of metformin, aiming to interest scientists to consider and explore the common and specific mechanisms and guiding for the further research. Although there have been countless studies of metformin, longitudinal research in each field is still much warranted.

Keywords： metformin     metabolism     cancer     aging     neurological disorder    

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A rare case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24;q32) translocation

Xiaofeng Shi, Rong Ba, Haiyan You, Qian Jiang, Jiansong Huang, Jianhua Mao, Lanxiu Han, Shuo Zhang, Qin Zhuang, Xianqiu Yu, Lixia Wang, Yun Wang, Dongya Li, Wei Zhu, Yong Zhang, Yan Zhu, Xiaodong Xi

Frontiers of Medicine 2018, Volume 12, Issue 3,   Pages 324-329 doi: 10.1007/s11684-017-0558-z

Abstract: In this study, we report a case of B-lymphoproliferative disorder with villous lymphocytes harboringIn this report, we described an unusual case of B-lymphoproliferative disorder with villous lymphocytes

Keywords： splenic lymphoma with villous lymphocytes     splenic marginal zone lymphoma     transformation     chromosome translocation    

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Cytokines and inflammation in adipogenesis: an updated review

Ning Jiang, Yao Li, Ting Shu, Jing Wang

Frontiers of Medicine 2019, Volume 13, Issue 3,   Pages 314-329 doi: 10.1007/s11684-018-0625-0

Abstract: The biological relevance of cytokines is known for more than 20 years. Evidence suggests that adipogenesis is one of the biological events involved in the regulation of cytokines, and pro-inflammatory cytokines (e.g., TNF and IL-1 ) inhibit adipogenesis through various pathways. This inhibitory effect can constrain the hyperplastic expandability of adipose tissues. Meanwhile, chronic low-grade inflammation is commonly observed in obese populations. In some individuals, the impaired ability of adipose tissues to recruit new adipocytes to adipose depots during overnutrition results in adipocyte hypertrophy, ectopic lipid accumulation, and insulin resistance. Intervention studies showed that pro-inflammatory cytokine antagonists improve metabolism in patients with metabolic syndrome. This review focuses on the cytokines currently known to regulate adipogenesis under physiological and pathophysiological circumstances. Recent studies on how inhibited adipogenesis leads to metabolic disorders were summarized. Although the interplay of cytokines and lipid metabolism is yet incompletely understood, cytokines represent a class of potential therapeutic targets in the treatment of metabolic disorders.

Keywords： cytokines     inflammation     adipogenesis     type 2 diabetes mellitus     metabolic disorder    

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Current Status of Blood Lipid Level and Prevention Strategy of Lipid Disorder in Chinese Population

Chen Haozhu,Jin Xuejuan

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 1-6

Abstract:

To assess current status of serum lipid levels in healthy inhabitants of China and their secular trend in the past 5 decades. Methods： The authors reviewed the contemporary literature (studies published between 1959 and 2002; bibliographies of reviews and original articles). Articles were included if they were following a standardized protocol for serum collection and lipid examination. Thirty-five articles in different target population from Beijin, Shanghai, Guangzhou, Tianjin and Kunming met inclusion criteria. This paper summarized important results of these studies and also the author´s own study performed in Shanghai on lipid epidemiology. Results： (1)The levels of blood total cholesterol (TC), low density lipoprotein cholesterol (LDL-C) and triglyceride (TG) increased along with the age. The levels of TC, TG and LDL-C among women before fifty were similar to that of among men of the same age, but higher in women than men over fifty. The TC, TG and LDL-C levels were higher in urban area than in rural area. (2) The levels of high density lipoprotein cholesterol (HDL-C) kept stability with aging, and they were lower in men than in women. (3)Secular trend analyses showed that the level of TC, TG and LDL-C increased steadily and significantly in all population, which reached the highest level at the end of 1990s, while HDL-C level decreased. (4) The prevalence of hypercholesterolemia (TC＞ 200 - 220 mg/dL) differed greatly among different population, from 17.8% to 54.9% in men, and from 14.9% to 53.4% in women, respectively. (5) Possible determinants for these changes were alternations in the composition of the diet in Chinese population along with the rise of living standards of the people. Daily intake of dietary fat, animal protein and cholesterol increased, while the proportion of carbohydrate decreased. (6) Coronary heart disease has been become the most common heart disease in China correlating with these changes. Prevention strategies： Primary prevention including： (1) resume healthy diet and have reasonable composition of the diet; (2) have lifestyle modifications and reduce other coronary heart disease risk; (3) recommendation for increasing physical activity. Secondary prevention including： If the patient did not achieve recommended target lipid levels after 3 months of lifestyle modifications (dietary therapy and physical activity), he or she should receive pharmacotherapy for dislipidemia.

Keywords： blood lipids     epidemiology     prevention    

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Identification of differentially expressed miRNAs associated with chronic kidney disease–mineral bone disorder

Kyung Im Kim, Sohyun Jeong, Nayoung Han, Jung Mi Oh, Kook-Hwan Oh, In-Wha Kim

Frontiers of Medicine 2017, Volume 11, Issue 3,   Pages 378-385 doi: 10.1007/s11684-017-0541-8

Abstract: mRNA in chronic kidney disease (CKD) to predict putative microRNA (miRNA) in CKD–mineral bone disorder

Keywords： chronic kidney disease     microRNA     mineral bone disorder     uremia    

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The Human Microbiota in Health and Disease

Baohong Wang, Mingfei Yao, Longxian Lv, Zongxin Ling, Lanjuan Li

Engineering 2017, Volume 3, Issue 1,   Pages 71-82 doi: 10.1016/J.ENG.2017.01.008

Abstract:

Trillions of microbes have evolved with and continue to live on and within human beings. A variety of environmental factors can affect intestinal microbial imbalance, which has a close relationship with human health and disease. Here, we focus on the interactions between the human microbiota and the host in order to provide an overview of the microbial role in basic biological processes and in the development and progression of major human diseases such as infectious diseases, liver diseases, gastrointestinal cancers, metabolic diseases, respiratory diseases, mental or psychological diseases, and autoimmune diseases. We also review important advances in techniques associated with microbial research, such as DNA sequencing, metabonomics, and proteomics combined with computation-based bioinformatics. Current research on the human microbiota has become much more sophisticated and more comprehensive. Therefore, we propose that research should focus on the host-microbe interaction and on cause-effect mechanisms, which could pave the way to an understanding of the role of gut microbiota in health and disease. and provide new therapeutic targets and treatment approaches in clinical practice.

Keywords： Microbiome     Health     Infectious disease     Liver diseases     Gastrointestinal malignancy     Metabolic disorder     Microbiota    

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PET imaging on neurofunctional changes after optogenetic stimulation in a rat model of panic disorder

Xiao He, Chentao Jin, Mindi Ma, Rui Zhou, Shuang Wu, Haoying Huang, Yuting Li, Qiaozhen Chen, Mingrong Zhang, Hong Zhang, Mei Tian

Frontiers of Medicine 2019, Volume 13, Issue 5,   Pages 602-609 doi: 10.1007/s11684-019-0704-x

Abstract: Panic disorder (PD) is an acute paroxysmal anxiety disorder with poorly understood pathophysiology.

Keywords： panic disorder (PD)     positron emission tomography (PET)     optogenetics     dorsal periaqueductal gray (dPAG)    

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Ovulation detection by transvaginal ultrasound and ovulation induction for two types of ovulation disorder

Liu Li,Wu Chunlin,Hu Yajun

Strategic Study of CAE 2015, Volume 17, Issue 6,   Pages 31-35

Abstract:

Objective：To find out the general clinical characteristics from patients with normal ovulation，small follicular ovulation and luteinized unruptured follicle and observe the result of ovulation detection repeatedly and the effect of ovarian stimulatioin for later two types. Methods：Retrospective analyzing the difference of the patients’age，basal serum gonadal steroid hormones and follicle size before ovulation in the groups of normal ovulation（n=258）， small follicular ovulation（n=65）and luteinized unruptured follicle（n=27）. Then we observed the result of ovulation detection repeatedly by transvaginal ultrasound in the latter two groups. Finally，the ovulation induction with clomiphene citrate was carried out in the 58 cases of small follicles ovulation and 25 cases of luteinizing unruptured follicle which obtained the consistent results during the twice ovulation detection，we observed the rates of normal ovulation and clinical pregnancy in the two types of ovulatory dysfunctions. Results：Average age and basal serum Gonadal steroid hormones levelsdid not have significant difference（P<0.01）in thegroups of normal ovulation，small follicular ovulation and luteinized unruptured follicle，average diameter of follicles before ovulation in the three groups had significant difference（F=117.9，P< 0.01）. Incidence rates of small follicular ovulation and luteinized unruptured follicle were 18.5 % and 7.71 % respectively. Both were detected repeatedly，repetition rates were 89.23 % and 92.59 % respectively. After combined induced ovulation by clomiphene withluteal support， normal ovulation rates were 70.69 % and 80 % in the groups of small follicular ovulation and unruptured follicle ovulation luteinized respectively，clinical pregnancy rateswere 29.31 % and 48 % respectively. Conclusions：Small follicular ovulation and luteinized unruptured follicle are two special types of ovulatory dysfunctions，basal serum gonadal steroid hormones levels cannot predict ovulation，and transvaginal ultrasound is the most direct method to diagnosisthe small follicular ovulation and luteinized unruptured follicle. Without treatment，the repetition rate is high in thetwo types of ovulatory dysfunctions. Combined induced ovulation withluteal support is effective in the patients of the small follicular ovulation and luteinized unruptured follicle.

Keywords： transvaginalultrasound     ovulation detection     small follicular ovulation     luteinized unruptured follicle     ovulation induction    

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第四届孤独症谱系障碍论坛 The 4th Autism Spectrum Disorder Forum

Conference Date: 15 Aug 2019

Conference Place: 中国/吉林/长春

Administered by: 中国康复医学会

Auxiliary diagnostic system for ADHD in children based on AI technology Research

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3,   Pages 400-414 doi: 10.1631/FITEE.1900729

Abstract: Traditional diagnosis of in children is primarily through a questionnaire filled out by parents/teachers and clinical observations by doctors. It is inefficient and heavily depends on the doctor’s level of experience. In this paper, we integrate artificial intelligence (AI) technology into a software-hardware coordinated system to make ADHD diagnosis more efficient. Together with the intelligent analysis module, the camera group will collect the eye focus, facial expression, 3D body posture, and other children’s information during the completion of the functional test. Then, a multi-modal model is proposed to classify abnormal behavior fragments of children from the captured videos. In combination with other system modules, standardized diagnostic reports can be automatically generated, including test results, abnormal behavior analysis, diagnostic aid conclusions, and treatment recommendations. This system has participated in clinical diagnosis in Department of Psychology, The Children’s Hospital, Zhejiang University School of Medicine, and has been accepted and praised by doctors and patients.

Keywords： Attention deficit hyperactivity disorder (ADHD)     Auxiliary diagnosis     Computer vision     Deep learning    

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Title Author Date Type Operation

Panoramic variation analysis of a family with neurodevelopmental disorders caused by biallelic loss-of-function

Journal Article

Translational application of neuroimaging in major depressive disorder: a review of psychoradiological

Ziqi Chen, Xiaoqi Huang, Qiyong Gong, Bharat B. Biswal

Journal Article

Relationship between expression of hepatocyte grow factor and apoptosis of trophoblasts in hypertensive disorder

OUYANG Shan, ZHANG Qinghua, QIAO Fuyuan

Journal Article

The development and benefits of metformin in various diseases

Journal Article

A rare case of B-lymphoproliferative disorder with villous lymphocytes harboring t(8;14)(q24;q32) translocation

Xiaofeng Shi, Rong Ba, Haiyan You, Qian Jiang, Jiansong Huang, Jianhua Mao, Lanxiu Han, Shuo Zhang, Qin Zhuang, Xianqiu Yu, Lixia Wang, Yun Wang, Dongya Li, Wei Zhu, Yong Zhang, Yan Zhu, Xiaodong Xi

Journal Article

Cytokines and inflammation in adipogenesis: an updated review

Ning Jiang, Yao Li, Ting Shu, Jing Wang

Journal Article

Current Status of Blood Lipid Level and Prevention Strategy of Lipid Disorder in Chinese Population

Chen Haozhu,Jin Xuejuan

Journal Article

Identification of differentially expressed miRNAs associated with chronic kidney disease–mineral bone disorder

Kyung Im Kim, Sohyun Jeong, Nayoung Han, Jung Mi Oh, Kook-Hwan Oh, In-Wha Kim

Journal Article

The Human Microbiota in Health and Disease

Baohong Wang, Mingfei Yao, Longxian Lv, Zongxin Ling, Lanjuan Li

Journal Article

PET imaging on neurofunctional changes after optogenetic stimulation in a rat model of panic disorder

Xiao He, Chentao Jin, Mindi Ma, Rui Zhou, Shuang Wu, Haoying Huang, Yuting Li, Qiaozhen Chen, Mingrong Zhang, Hong Zhang, Mei Tian

Journal Article

Ovulation detection by transvaginal ultrasound and ovulation induction for two types of ovulation disorder

Liu Li,Wu Chunlin,Hu Yajun

Journal Article

第四届孤独症谱系障碍论坛 The 4th Autism Spectrum Disorder Forum

15 Aug 2019

Conference Information

Auxiliary diagnostic system for ADHD in children based on AI technology

Yanyi Zhang, Ming Kong, Tianqi Zhao, Wenchen Hong, Di Xie, Chunmao Wang, Rongwang Yang, Rong Li, Qiang Zhu,doczyy1981@sina.com,zjukongming@zju.edu.cn,zhuq@zju.edu.cn

Journal Article