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389 results on '"Zhao Jiajun"'

1. Current Status, Opportunities and Challenges of Rare Endocrine and Metabolic Diseases

Author

WU Huixiao, LI Zongyue, XU Chao, and ZHAO Jiajun

Subjects
rare endocrine and metabolic diseases, diagnosis, mechanism, treatment, Medicine
Abstract

The rare endocrine and metabolic diseases, due to their varieties, face many challenges in the study of clinical diagnosis, pathogenesis, and treatment. In the past a couple of years, the research on rare endocrine and metabolic diseases has been gradually improved. The diagnosis has made great progress. The research into molecular mechanism of rare endocrine and metabolic diseases has significantly advanced. The effort in exploring the breakthroughs and progress in therapeutic methods based on the pathogenesis of the diseases has also made. This article provides a brief overview of the current status of research into diagnosis, mechanism, and treatment of rare endocrine and metabolic diseases. In addition, the article points out the problems and challenges and proposes future possibilities.

Published
2023
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2. Preliminary Study on the Application of Heat Pipe Reactor in Unmanned Underwater Vehicles

Author

Zhao Jiajun, Chen Yuqing, Sheng Dongjie, Mao Zhangliang, and Liu Pengfei

Subjects
Environmental sciences, GE1-350
Abstract

At the beginning of the 21st century, due to the re-proposal of the United States space exploration program, heat pipe reactors once again received widespread attention from researchers. With their long lifespan, high energy density, and inherent safety features, they exhibit promising prospects for application in space nuclear reactors, land-based mobile nuclear power sources, and deep-sea unmanned equipment exploration. Consequently, they represent an ideal novel energy source for unmanned underwater vehicles (UUVs). This article selected the SUBOFF submarine model as a basis to calculate UUVs’ navigation resistance at various speeds using the 1+k method. By comparing the converted UUVs navigation power demand with that of traditional batteries and heat pipe stacks’ output power, it was concluded that heat pipe reactors offer superior power supply and endurance capabilities. Subsequently, based on the structural characteristics of the heat pipe stack, this study summarized battery advantages and characteristics while also addressing construction and development aspects of heat pipe stack energy systems. Furthermore, the key technologies that need to be overcome in the application of heat pipe stacks in UUVs are introduced. Through the formula of heat transfer limit of heat pipe, the factors that limit the heat transfer performance of heat pipe are analyzed, and the positive correlation among the number of heat pipe, heat transfer limit and heat transfer power was obtained. Finally, the challenges faced by the future application of heat pipe stacks in UUVs were pointed out.

Published
2024
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4. Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults

Author

Ding, Yi, Xu, Xiaoli, Xin, Zhuojun, Cao, Qiuyu, Huang, Jiaojiao, Wu, Xianglin, Huo, Yanan, Wan, Qin, Qin, Yingfen, Hu, Ruying, Shi, Lixin, Su, Qing, Yu, Xuefeng, Yan, Li, Qin, Guijun, Tang, Xulei, Chen, Gang, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Li, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Yang, Tao, Deng, Huacong, Chen, Lulu, Zeng, Tianshu, Zhao, Jiajun, Mu, Yiming, Wu, Shengli, Chen, Yuhong, Lu, Jieli, Wang, Weiqing, Ning, Guang, Xu, Yu, Bi, Yufang, and Li, Mian

Published
2024
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8. Upregulation of WDR6 drives hepatic de novo lipogenesis in insulin resistance in mice

Author

Yao, Zhenyu, Gong, Ying, Chen, Wenbin, Shao, Shanshan, Song, Yongfeng, Guo, Honglin, Li, Qihang, Liu, Sijin, Wang, Ximing, Zhang, Zhenhai, Wang, Qian, Xu, Yunyun, Wu, Yingjie, Wan, Qiang, Zhao, Xinya, Xuan, Qiuhui, Wang, Dawei, Lin, Xiaoyan, Xu, Jiawen, Liu, Jun, Proud, Christopher G., Wang, Xuemin, Yang, Rui, Fu, Lili, Niu, Shaona, Kong, Junjie, Gao, Ling, Bo, Tao, and Zhao, Jiajun

Published
2023
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10. Association of social determinants, lifestyle, and metabolic factors with mortality in Chinese adults: A nationwide 10-year prospective cohort study

Author

Lu, Jieli, Li, Mian, He, Jiang, Xu, Yu, Zheng, Ruizhi, Zheng, Jie, Qin, Guijun, Qin, Yingfen, Chen, Yuhong, Tang, Xulei, Ye, Zhen, Xu, Min, Wang, Tiange, Shi, Lixin, Su, Qing, Yu, Xuefeng, Yan, Li, Zhao, Zhiyun, Wan, Qin, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Gu, Xuejiang, Luo, Zuojie, Chen, Li, Hou, Xinguo, Huo, Yanan, Li, Qiang, Qiao, Hong, Zhang, Yinfei, Zeng, Tianshu, Hu, Chunyan, Cao, Qiuyu, Jia, Xiaojing, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Qi, Hongyan, Wu, Xueyan, Zhang, Di, Dai, Meng, Li, Donghui, Lai, Shenghan, Chen, Lulu, Zhao, Jiajun, Mu, Yiming, Hu, Weiguo, Ning, Guang, Hu, Ruying, Bi, Yufang, and Wang, Weiqing

Published
2024
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12. Association of circulating long-chain free fatty acids and incident diabetes risk among normoglycemic Chinese adults: a prospective nested case–control study

Author

Wang, Shuangyuan, Hu, Chunyan, Lin, Hong, Jia, Xiaojing, Hu, Ruying, Zheng, Ruizhi, Li, Mian, Xu, Yu, Xu, Min, Zheng, Jie, Zhao, Xinjie, Li, Yanli, Chen, Lulu, Zeng, Tianshu, Ye, Zhen, Shi, Lixin, Su, Qing, Chen, Yuhong, Yu, Xuefeng, Yan, Li, Wang, Tiange, Zhao, Zhiyun, Qin, Guijun, Wan, Qin, Chen, Gang, Dai, Meng, Zhang, Di, Qiu, Bihan, Zhu, Xiaoyan, Liu, Ruixin, Wang, Xiao, Tang, Xulei, Gao, Zhengnan, Shen, Feixia, Gu, Xuejiang, Luo, Zuojie, Qin, Yingfen, Chen, Li, Hou, Xinguo, Huo, Yanan, Li, Qiang, Wang, Guixia, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Mu, Yiming, Xu, Guowang, Lai, Shenghan, Li, Donghui, Ning, Guang, Wang, Weiqing, Bi, Yufang, and Lu, Jieli

Published
2024
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23. Early adulthood weight change, midlife “Life’s essential 8” health status and risk of cardiometabolic diseases: a chinese nationwide cohort study

Author

Cao, Qiuyu, Li, Mian, Qin, Guijun, Yan, Li, He, Jiang, Xu, Min, Xu, Yu, Wang, Tiange, Chen, Yuhong, Wang, Shuangyuan, Lin, Hong, Zhao, Zhiyun, Gao, Zhengnan, Zeng, Tianshu, Hu, Ruying, Yu, Xuefeng, Chen, Gang, Su, Qing, Mu, Yiming, Chen, Lulu, Tang, Xulei, Wan, Qin, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Shi, Lixin, Ning, Guang, Wang, Weiqing, Lu, Jieli, and Bi, Yufang

Published
2023
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26. Thyroid stimulating hormone, independent of thyroid hormone, can elevate the serum total cholesterol level in patients with coronary heart disease: a cross-sectional design

Author

Xu Chao, Yang Xiaomei, Liu Wenhui, Yuan Haitao, Yu Chunxiao, Gao Ling, and Zhao Jiajun

Subjects
TSH, Cholesterol, Coronary heart disease, Nutrition. Foods and food supply, TX341-641, Nutritional diseases. Deficiency diseases, RC620-627
Abstract

Abstract Background The relationship between TSH and the lipid profile is contradictory because few studies have excluded the potential influence of the thyroid hormones (TH). The aim of the present study was to evaluate the relationship between serum TSH levels and the lipid profile independent of TH. Methods 1302 CHD patients diagnosed by coronary angiography were retrospectively studied. The prevalence and distribution of thyroid dysfunction were analyzed first. To assess the impact of TSH on serum lipids, Pearson’s correlation analysis was performed after adjustments for classic factors and TH. To calculate the extent of the effect of TSH on the serum cholesterol level, the partial least squares method and additional statistical methods were used. Results After the exclusions, a total of 568 patients (270 males and 298 females with a mean age of 63.56 ± 11.376 years) were selected. The prevalence of thyroid dysfunction among the patients was 18.66%, and the prevalence of hypothyroidism (15.32%) was higher than that of hyperthyroidism (3.34%). Even after adjusting for confounding factors, such as sex, age, smoking status, fasting plasma glucose levels and TH, a significant positive impact of TSH on the serum total cholesterol (TC) level was revealed (r = 0.095, p = 0.036). Each 1 mIU/L increase in the TSH level might be linked to a 0.015580712 mmol/L elevation of the serum TC value. Conclusions TSH can increase the TC level in CHD patients independent of TH. The present study suggests a potential physiological role of TSH and the importance of maintaining an appropriate TSH level in CHD patients.

Published
2012
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27. Role of extrathyroidal TSHR expression in adipocyte differentiation and its association with obesity

Author

Lu Sumei, Guan Qingbo, Liu Yuantao, Wang Haibo, Xu Wei, Li Xia, Fu Yuchang, Gao Ling, Zhao Jiajun, and Wang Xiangdong

Subjects
TSHR, obesity, adipogenesis, Nutritional diseases. Deficiency diseases, RC620-627
Abstract

Abstract Background Obesity is known to be associated with higher risks of cardiovascular disease, metabolic syndrome, and diabetes mellitus. Thyroid-stimulating hormone (TSHR) is the receptor for thyroid-stimulating hormone (TSH, or thyrotropin), the key regulator of thyroid functions. The expression of TSHR, once considered to be limited to thyrocytes, has been so far detected in many extrathyroidal tissues including liver and fat. Previous studies have shown that TSHR expression is upregulated when preadipocytes differentiate into mature adipocytes, suggestive of a possible role of TSHR in adipogenesis. However, it remains unclear whether TSHR expression in adipocytes is implicated in the pathogenesis of obesity. Methods In the present study, TSHR expression in adipose tissues from both mice and human was analyzed, and its association with obesity was evaluated. Results We here showed that TSHR expression was increased at both mRNA and protein levels when 3T3-L1 preadipocytes were induced to differentiate. Knockdown of TSHR blocked the adipocyte differentiation of 3T3-L1 preadipocytes as evaluated by Oil-red-O staining for lipid accumulation and by RT-PCR analyses of PPAR-γ and ALBP mRNA expression. We generated obesity mice (C57/BL6) by high-fat diet feeding and found that the TSHR protein expression in visceral adipose tissues from obesity mice was significantly higher in comparison with the non-obesity control mice (P < 0.05). Finally, the TSHR expression in adipose tissues was determined in 120 patients. The results showed that TSHR expression in subcutaneous adipose tissue is correlated with BMI (body mass index). Conclusion Taken together, these results suggested that TSHR is an important regulator of adipocyte differentiation. Dysregulated expression of TSHR in adipose tissues is associated with obesity, which may involve a mechanism of excess adipogenesis.

Published
2012
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35. Data-driven subgroups of prediabetes and the associations with outcomes in Chinese adults

Author

Zheng, Ruizhi, Xu, Yu, Li, Mian, Gao, Zhengnan, Wang, Guixia, Hou, Xinguo, Chen, Li, Huo, Yanan, Qin, Guijun, Yan, Li, Wan, Qin, Zeng, Tianshu, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gu, Xuejiang, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Hu, Chunyan, Jia, Xiaojing, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Ning, Guang, Wang, Weiqing, Lu, Jieli, and Bi, Yufang

Published
2023
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36. Risk of cardiovascular disease, death, and renal progression in diabetes according to albuminuria and estimated glomerular filtration rate

Author

Niu, Jingya, Zhang, Xiaoyun, Li, Mian, Wu, Shujing, Zheng, Ruizhi, Chen, Li, Huo, Yanan, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Qin, Guijun, Yan, Li, Wan, Qin, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Bi, Yufang, Ning, Guang, Wang, Weiqing, Lu, Jieli, and Xu, Yu

Published
2023
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38. Association of soy food with cardiovascular outcomes and all-cause mortality in a Chinese population: a nationwide prospective cohort study

Author

Xue, Ting, Wen, Junping, Wan, Qin, Qin, Guijun, Yan, Li, Wang, Guixia, Qin, Yingfen, Luo, Zuojie, Tang, Xulei, Huo, Yanan, Hu, Ruying, Ye, Zhen, Shi, Lixin, Gao, Zhengnan, Su, Qing, Mu, Yiming, Zhao, Jiajun, Chen, Lulu, Zeng, Tianshu, Yu, Xuefeng, Li, Qiang, Shen, Feixia, Chen, Li, Zhang, Yinfei, Wang, Youmin, Deng, Huacong, Liu, Chao, Wu, Shengli, Yang, Tao, Li, Mian, Xu, Yu, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Lu, Jieli, Bi, Yufang, Wang, Weiqing, Chen, Gang, and Ning, Guang

Published
2022
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42. Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study

Author

Wang, Shuangyuan, Li, Mian, Lin, Hong, Wang, Guixia, Xu, Yu, Zhao, Xinjie, Hu, Chunyan, Zhang, Yi, Zheng, Ruizhi, Hu, Ruying, Shi, Lixin, Du, Rui, Su, Qing, Wang, Jiqiu, Chen, Yuhong, Yu, Xuefeng, Yan, Li, Wang, Tiange, Zhao, Zhiyun, Liu, Ruixin, Wang, Xiaolin, Li, Qi, Qin, Guijun, Wan, Qin, Chen, Gang, Xu, Min, Dai, Meng, Zhang, Di, Tang, Xulei, Gao, Zhengnan, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Lai, Shenghan, Mu, Yiming, Chen, Lulu, Li, Donghui, Xu, Guowang, Ning, Guang, Wang, Weiqing, Bi, Yufang, and Lu, Jieli

Published
2022
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47. Interaction between smoking and diabetes in relation to subsequent risk of cardiovascular events

Author

Yang, Yang, Peng, Nianchun, Chen, Gang, Wan, Qin, Yan, Li, Wang, Guixia, Qin, Yingfen, Luo, Zuojie, Tang, Xulei, Huo, Yanan, Hu, Ruying, Ye, Zhen, Qin, Guijun, Gao, Zhengnan, Su, Qing, Mu, Yiming, Zhao, Jiajun, Chen, Lulu, Zeng, Tianshu, Yu, Xuefeng, Li, Qiang, Shen, Feixia, Chen, Li, Zhang, Yinfei, Wang, Youmin, Deng, Huacong, Liu, Chao, Wu, Shengli, Yang, Tao, Li, Mian, Xu, Yu, Xu, Min, Zhao, Zhiyun, Wang, Tiange, Lu, Jieli, Bi, Yufang, Wang, Weiqing, Ning, Guang, Zhang, Qiao, and Shi, Lixin

Published
2022
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48. Hypertension Defined by 2017 ACC/AHA Guideline, Ideal Cardiovascular Health Metrics, and Risk of Cardiovascular Disease: A Nationwide Prospective Cohort Study

Author

Wu, Shujing, Xu, Yu, Zheng, Ruizhi, Lu, Jieli, Li, Mian, Chen, Li, Huo, Yanan, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Dai, Meng, Zhang, Di, Niu, Jingya, Qin, Guijun, Yan, Li, Wan, Qin, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Bi, Yufang, Wang, Weiqing, and Ning, Guang

Published
2022
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49. Characterization of Novel PHEX Variants in X-linked Hypophosphatemic Rickets and Genotype-PHEX Activity Correlation.

Author

Wu, Huixiao, Ying, Hui, Zhao, Wanyi, Sun, Yan, Wang, Yanzhou, Chen, Xinyu, Li, Guimei, Yao, Yangyang, Xu, Shuo, Li, Tianyou, Fang, Li, Sun, Xiaoqing, Wang, Ning, Xu, Jin, Guan, Qingbo, Xia, Weibo, Wang, Li, Gao, Ling, Zhao, Jiajun, and Xu, Chao

Subjects
MISSENSE mutation, PROTEIN synthesis, PROTEIN expression, LABORATORY mice, GENETIC mutation
Abstract

Background X-linked hypophosphatemia (XLHR) is the most common genetic form of hypophosphatemic rickets (HR), which is caused by phosphate regulating endopeptidase homolog X-linked (PHEX) gene mutation. At present, the genotype–phenotype relationship of XLHR and the pathogenic role of PHEX are not fully understood. Methods In this study, we summarized clinical features in a new cohort of 49 HR patients and detected 16 novel PHEX and 5 novel non-PHEX variants. Subsequently, we studied the pathogenesis of new variants by protein expression, glycosylation analysis, subcellular localization, and endopeptidase activity. Results The results showed that missense variants (Q189H and X750R) slightly reduced protein expression without obviously altering protein length and localization, whereas truncating variants significantly impaired the synthesis of PHEX and produced a shorter immature protein in cells. Interestingly, no evident correlation was observed between mutation types and clinical phenotypes. However, when we analyzed the relationship between PHEX activity and serum phosphorus level, we found that patients with low PHEX activity tended to have severe hypophosphatemia and high rickets severity score. Following this observation, we established 2 new knock-in XLHR mouse models with 2 novel Phex variants (c.T1349C and c.C426G, respectively) using CRISPR/Cas9 technology. Both mouse models demonstrated clinical manifestations of XLHR seen in patients, and PhexC426G mice showed more severe phenotype than PhexT1349C mice, which further confirmed the rationality of genotype–PHEX enzymatic activity correlation analysis. Conclusion Therefore, our findings demonstrated that novel PHEX variants could disrupt protein function via affecting protein synthesis, post-translational modification, cellular trafficking, and catalytic activity. Our study facilitates a better understanding of XLHR pathogenic mechanism and PHEX activity-phenotype correlation, which is of crucial importance for future diagnosis and treatment of XLHR. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Local Confinement Effects of Block Copolymers Driving Self‐Assembly of Nanoparticles into Discrete Pancake‐Shaped Superlattices.

Author

Hong, Yutong, Lyu, Mengqi, Jiang, Ming, Chen, Yanyan, Zhao, Jiajun, Zhu, Haipeng, and Xia, Yan

Subjects
BLOCK copolymers, SUPERLATTICES, RESEARCH & development, NANOPARTICLES, POLYMERS
Abstract

The utilization of polymer conformations to construct a variety of superlattices is a common method within the field. However, this technique often results in only long‐range ordering rather than the formation of distinct superlattices. In this study, a well‐organized array of discrete pancake‐shaped superlattices (DPSs) is successfully obtained through the utilization of air–liquid interface self‐assembly, facilitated by the confined environment created by a block copolymer. It is crucial to note that both the self‐assembly behavior and resulting morphologies of the DPSs can be precisely tuned by adjusting several experimental parameters, most notably the concentration and molecular architecture of the block copolymers. Furthermore, this work provides valuable insights into the formation processes and mechanisms underpinning the DPSs. The approach described here is both straightforward and efficacious, establishing a strong foundation for subsequent research and the development of non‐close‐packed superlattice structures. [ABSTRACT FROM AUTHOR]

Published
2024
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