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Your search keyword '"Tian, ShengHua"' showing total 22 results
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22 results on '"Tian, ShengHua"'

2. Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China

Author

Zhang, Hao, primary, Zeng, Tianshu, additional, Zhang, Jiaoyue, additional, Zheng, Juan, additional, Min, Jie, additional, Peng, Miaomiao, additional, Liu, Geng, additional, Zhong, Xueyu, additional, Wang, Ying, additional, Qiu, Kangli, additional, Tian, Shenghua, additional, Liu, Xiaohuan, additional, Huang, Hantao, additional, Surmach, Marina, additional, Wang, Ping, additional, Hu, Xiang, additional, and Chen, Lulu, additional

Published
2024
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4. Framingham risk score conventional risk factors are potent to predict all-cause mortality using machine learning algorithms: a population-based prospective cohort study over 40 years in China

Author

Huang, QianQian, primary, Zeng, TianShu, additional, Zhang, JiaoYue, additional, Min, Jie, additional, Zheng, Juan, additional, Tian, ShengHua, additional, Huang, Hantao, additional, Liu, XiaoHuan, additional, Zhang, Hao, additional, Wang, Ping, additional, Hu, Xiang, additional, and Chen, LuLu, additional

Published
2023
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5. Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study

Author

Liu, XiaoHuan, primary, Zhang, Weiyue, additional, Zhang, Qiao, additional, Chen, Long, additional, Zeng, TianShu, additional, Zhang, JiaoYue, additional, Min, Jie, additional, Tian, ShengHua, additional, Zhang, Hao, additional, Huang, Hantao, additional, Wang, Ping, additional, Hu, Xiang, additional, and Chen, LuLu, additional

Published
2022
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6. sj-pdf-1-imj-10.1177_10815589231169689 – Supplemental material for Framingham risk score conventional risk factors are potent to predictall-cause mortality using machine learning algorithms: a population-based prospective cohort study over 40 years in China

Author

Huang, QianQian, Zeng, TianShu, Zhang, JiaoYue, Min, Jie, Zheng, Juan, Tian, ShengHua, Huang, Hantao, Liu, XiaoHuan, Zhang, Hao, Wang, Ping, Hu, Xiang, and Chen, LuLu

Subjects
Medicine
Abstract

Supplemental material, sj-pdf-1-imj-10.1177_10815589231169689 for Framingham risk score conventional risk factors are potent to predictall-cause mortality using machine learning algorithms: a population-based prospective cohort study over 40 years in China by QianQian Huang, TianShu Zeng, JiaoYue Zhang, Jie Min, Juan Zheng, ShengHua Tian, Hantao Huang, XiaoHuan Liu, Hao Zhang, Ping Wang, Xiang Hu and LuLu Chen in Journal of Investigative Medicine

Published
2023
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7. Catch‐up fat in male adults induces low testosterone and consequently promotes metabolic abnormalities and cognitive impairment

Author

Liu, XiaoHuan, primary, He, Yi, additional, Zhang, Qiao, additional, Zeng, TianShu, additional, Zhang, JiaoYue, additional, Min, Jie, additional, Tian, ShengHua, additional, Huang, Hantao, additional, Wang, Weidong, additional, Dong, Fangfang, additional, Wang, Ping, additional, Zhang, Linwei, additional, Shuang, Zhenyu, additional, Chen, LuLu, additional, and Hu, Xiang, additional

Published
2022
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8. Psychological Interventions to Reduce Anxiety and Improve Sleep Quality in Hospitalized COVID-19 Patients: A Prospective Real-World Study in Wuhan, China

Author

Ren, Caixia, primary, Tian, Shenghua, additional, Liu, Hongju, additional, Zhang, Jing, additional, Weng, Zhihong, additional, Zheng, Xin, additional, Wu, Fengchun, additional, Chen, Long, additional, Wang, Nan, additional, Sun, Shengwen, additional, He, Xinliang, additional, and Yang, Chengwu, additional

Published
2022
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10. Short-Term Changes in Metabolically Healthy Overweight/Obesity Status Impact the Susceptibility to Type 2 Diabetes in Chinese Adults

Author

Min,Jie, Hu,Xiang, Zhang,Jiaoyue, Zeng,Tianshu, Wang,Ying, Tian,Shenghua, Liu,Geng, Zhong,Xueyu, Qiu,Kangli, Peng,Miaomiao, Chen,Lulu, Min,Jie, Hu,Xiang, Zhang,Jiaoyue, Zeng,Tianshu, Wang,Ying, Tian,Shenghua, Liu,Geng, Zhong,Xueyu, Qiu,Kangli, Peng,Miaomiao, and Chen,Lulu

Abstract

Jie Min, Xiang Hu, Jiaoyue Zhang, Tianshu Zeng, Ying Wang, Shenghua Tian, Geng Liu, Xueyu Zhong, Kangli Qiu, Miaomiao Peng, Lulu Chen Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People’s Republic of ChinaCorrespondence: Lulu ChenDepartment of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, Hubei, 430022, People’s Republic of ChinaTel +86 27 8572 6082Fax +86 27 8535 6365Email cheria_chen@126.comPurpose: Changes in transition from metabolically healthy overweight/obesity (MHO) to metabolically unhealthy overweight/obesity (MUO) are associated with the risk for cardiometabolic complications. This study aims to investigate the effects of short-term dynamic changes in body mass index (BMI) and metabolic status on the risk of type 2 diabetes (T2D) and to identify biological predictors for the MHO-to-MUO transition.Patients and Methods: A total of 4604 subjects from the REACTION study were included for a 3-year follow-up. Subjects were categorized based on their BMI and metabolic syndrome status. Overweight/obesity was defined as BMI ≥ 24 kg/m2. Metabolically healthy was defined as having two or fewer of the metabolic syndrome components proposed by the Chinese Diabetes Society. Thus, subjects were divided into four groups: metabolically healthy normal weight (MHNW), MHO, metabolically unhealthy normal weight (MUNW), and MUO.Results: Compared with MHNW, MHO was not predisposed to an increased risk for T2D (OR 1.08, 95% CI 0.64– 1.83, P = 0.762). However, a 3-year transition probability of 20.6% was identified for subjects who shifted from MHO to MUO; this conversion increased the risk of T2D by 3-fold (OR 3.04, 95% CI 1.21– 7.68, P = 0.018). The fatty liver index independently predicted the MHO-to-MUO transition with an OR 3.14 (95% CI 1.56– 7.46, P&am

Published
2021

15. Chinese Language Screening Test

Author

Yang, Hongyan, primary, Tian, Shenghua, additional, Flamand-Roze, Constance, additional, Gao, Ling, additional, Zhang, Wei, additional, Li, Yan, additional, Wang, Jiajia, additional, Sun, Zhou, additional, Su, Ying, additional, Zhao, Libin, additional, and Liang, Zhihou, additional

Published
2018
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19. Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.

Author

Peng, Miaomiao, Zhang, Jiaoyue, Zeng, Tianshu, Hu, Xiang, Min, Jie, Tian, Shenghua, Wang, Ying, Liu, Geng, Wan, Limin, Huang, Qiulan, Hu, Shengqing, and Chen, Lulu

Subjects
DIABETES risk factors, ISLANDS of Langerhans, ALCOHOL drinking, ALLELES, BLOOD sugar, CAUSALITY (Physics), CONFIDENCE intervals, FASTING, GENETIC polymorphisms, HOMEOSTASIS, INSULIN resistance, PERSONALITY, SEX distribution, DISEASE incidence, ODDS ratio, GENETICS, PHYSIOLOGY
Abstract

Aim: To assess the causality between alcohol intake, diabetes risk and related traits. Design Mendelian randomization (MR) study. Subgroup analysis, standard instrumental variable analysis and local average treatment effect (LATE) methods were applied to assess linear and non‐linear causality. Setting: China. Participants: A total of 4536 participants, including 721 diabetes cases. Findings Carriage of an ALDH2 rs671 A allele reduced alcohol consumption by 44.63% [95% confidence interval (CI) = –49.44%, −39.37%]. In males, additional carriage of an A allele was significantly connected to decreased diabetes risk for the overall population [odds ratio (OR) = 0.716, 95% CI = 0.567–0.904, P = 0.005] or moderate drinkers (OR = 0.564, 95% CI = 0.355–0.894, P = 0.015). In instrumental variable (IV) analysis, increasing alcohol consumption by 1.7‐fold was associated with an incidence‐rate ratio of 1.32 (95% CI = 1.06–1.67, P = 0.014) for diabetes risk, and elevated alcohol intake was causally connected to natural log‐transformed fasting, 2‐hour post‐load plasma glucose (β = 0.036, 95% CI = 0.018–0.054; β = 0.072, 95% CI = 0.035–0.108) and insulin resistance [homeostatic model assessment for IR (HOMA‐IR] (β = 0.104, 95% CI = 0.039–0.169), but was not associated with beta‐cell function (HOMA‐beta). In addition, the LATE method did not identify significant U‐shaped causality between alcohol consumption and diabetes‐related traits. In females, the effects of alcohol intake on all the outcomes were non‐significant. Conclusion: Among men in China, higher alcohol intake appears to be causally associated with increased diabetes risk and worsened related traits, even for moderate drinkers. This study found no significant U‐shaped causality between alcohol consumption and diabetes‐related traits. [ABSTRACT FROM AUTHOR]

Published
2019
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20. Upregulation of pyruvate kinase M2 expression by fatty acid synthase contributes to gemcitabine resistance in pancreatic cancer.

Author

Tian, Shenghua, Li, Pingping, Sheng, Shi, and Jin, Xin

Subjects
*PANCREATIC cancer treatment, *PYRUVATE kinase, *FATTY acid synthases, *CANCER chemotherapy, *CANCER cells, *THERAPEUTICS
Abstract

Pancreatic cancer has one of the highest mortality rates of all cancer types. Fatty acid synthase (FASN) is a multifunctional protein homodimer that can convert acetyl coenzyme A (CoA) and malonyl-CoA into palmitate, thus regulating lipogenesis. FASN overexpression has also been shown to cause resistance to gemcitabine, a chemotherapy treatment for pancreatic cancer; however, the mechanism by which this happens is unclear. Analysis of gene expression of FASN and pyruvate kinase M2 (PKM2) in pancreatic cancer was performed using Oncomine microarray gene expression datasets, which demonstrated that FASN and PKM2 were upregulated in pancreatic cancer compared with normal tissue. Specifically, it was demonstrated that FASN enabled the upregulation of PKM2 expression at the mRNA and protein levels, increasing the glucose consumption rate in pancreatic cancer cells. The present study also revealed that decreased levels of FASN reduced resistance to gemcitabine treatment, which was induced by PKM2 overexpression in pancreatic ductal adenocarcinoma cells. Therefore, FASN may represent a novel therapeutic target in pancreatic cancer. [ABSTRACT FROM AUTHOR]

Published
2018
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