Article
Medical Laboratory Technology
Valentinus Besin, Trilis Yulianti, Paulus Budiono Notopuro, Farizky Martriano Humardani
Summary: This study summarizes specific variants relevant to Asian populations that may aid in the early detection of ischemic stroke and explores their impact on the disease. These variants provide important information about the genes involved in ischemic stroke and their mechanisms.
CLINICA CHIMICA ACTA
(2023)
Article
Genetics & Heredity
Shangdong Yang, Jing Jia, Yang Liu, Zheng Li, Zhihao Li, Zhaojing Zhang, Baixue Zhou, Yingying Luan, Yanyang Huang, Yue Peng, Tianyi Han, Yan Xu, Ying He, Hong Zheng
Summary: This study found that the polymorphisms of ABCA1/G1 were associated with variations in plasma lipid levels and the risk of ischemic stroke (IS). Specifically, certain SNPs were associated with the frequency of specific genotypes in IS patients and showed correlation with plasma cholesterol and LDL-C levels. In addition, the A-A haplotype (rs4149339-rs4149338) was correlated with a reduced risk of IS.
Article
Endocrinology & Metabolism
Ruixia Zhu, Tongling Xiao, Qianwen Wang, Yating Zhao, Xu Liu
Summary: The study revealed a significant association between MEG3 rs4081134 AA genotype and the risk of stroke recurrence, particularly for patients with large-artery atherosclerotic stroke, especially in elderly individuals, non-smokers, non-drinkers, and hypertensive patients. The findings suggest that MEG3 rs4081134 may serve as a useful biomarker and potential therapeutic target in the recurrence of ischemic stroke. Further research is needed to validate the results and explore the underlying molecular mechanisms.
METABOLIC BRAIN DISEASE
(2021)
Article
Cardiac & Cardiovascular Systems
Melody Kasher, Stacey S. Cherny, Gregory CHARGE Inflammation Working Grp, Gregory Livshits
Summary: This study aimed to clarify the genetic relationship between rheumatoid arthritis (RA) and blood lipid levels, while considering inflammation. The results showed that horizontal pleiotropy may explain the genetic relationship between RA and blood lipid levels, and there may also be a horizontally pleiotropic relationship between blood lipid levels and inflammation.
Article
Health Care Sciences & Services
Malek Zihlif, Amer Imraish, Baeth Al-Rawashdeh, Aya Qteish, Raihan Husami, Rawand Husami, Farah Tahboub, Yazun Jarrar, Su-Jun Lee
Summary: This study found a statistically significant association between multiple ADAM33 genetic polymorphisms and IgE levels, particularly showing a significant relationship between V4 polymorphism and IgE levels in both adults and children. Such findings add to the growing evidence that the ADAM33 gene has a major impact on IgE levels among asthmatic patients of Jordanian origin.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Clinical Neurology
Lin Liu, Xingyang Yi, Hua Luo, Ming Yu
Summary: This study aimed to evaluate the relationship between carotid stenosis and variants in genes associated with inflammation and endothelial function. A multi-center, cross sectional survey was conducted in southwestern China, and it was found that the prevalence of carotid stenosis was high in the high-risk stroke population. Variants in certain genes were identified to be associated with an increased risk of carotid stenosis.
FRONTIERS IN NEUROLOGY
(2023)
Review
Cardiac & Cardiovascular Systems
Xiaolin Jin, Hanze Chen, Han Shi, Kailei Fu, Jinwei Li, Li Tian, Weiyu Teng
Summary: The study found an inverse association between total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) with the risk of hemorrhagic stroke, while triglyceride (TG) showed an inverse linear trend. When TC and high-density lipoprotein cholesterol (HDL-C) levels were around 6 and 1.3 mmol/L respectively, the risk of hemorrhagic stroke was at its lowest.
NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
(2021)
Article
Oncology
Weiqi Chen, Yicong Wang, Xia Meng, Yuesong Pan, Mengxing Wang, Hao Li, Yilong Wang, Yongjun Wang
Summary: This study found that higher levels of PCSK9 were associated with a lower risk of stroke recurrence within 12 months in patients with acute ischemic stroke, but not with death or poor functional outcomes. There was no significant association between PCSK9 polymorphisms and acute ischemic stroke in a Chinese registry study.
ANNALS OF TRANSLATIONAL MEDICINE
(2022)
Article
Clinical Neurology
Iyas Daghlas, Dipender Gill
Summary: This study used Mendelian randomization analyses to investigate the association between genetically predicted reductions in FXI levels and the risk of venous thromboembolism, ischemic stroke, bleeding outcomes, and lifespan. The results showed that genetically predicted reductions in FXI levels were associated with lower risk of ischemic stroke and venous thromboembolism, without increasing bleeding risk. Moreover, lower serum FXI levels were also associated with longer lifespan.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Clinical Neurology
Imam M. Esmayel, Samia Hussein, Ehab A. Gohar, Huda F. Ebian, Mayada M. Mousa
Summary: This study aimed to measure the plasma levels of SIRT1 in acute cerebrovascular stroke patients, assess its role as a possible biomarker in predicting the risk of acute cerebrovascular stroke, compare its levels between stroke patient groups, and evaluate the association between its levels and the severity of stroke. The results showed that plasma levels of SIRT1 were significantly lower in acute stroke patients compared to the control group, and there were positive correlations between SIRT1 levels and hemoglobin levels and serum potassium levels.
NEUROLOGICAL SCIENCES
(2021)
Article
Oncology
Xuedong Wang, Kui Deng, Jing Tao, Juan Zou, Yiting Du, Li Dai
Summary: This study found that RIPK1 gene polymorphisms are associated with susceptibility to epithelial ovarian cancer (EOC) and clinical outcomes. Specifically, certain SNPs and genotypes variants are associated with early-onset EOC and better survival outcomes. Furthermore, the study also observed increased plasma levels of RIPK1 and reduced RIPK1 mRNA expression in EOC patients.
CANCER CELL INTERNATIONAL
(2023)
Review
Clinical Neurology
Shubham Misra, Terence J. Quinn, Guido J. Falcone, Vijay K. Sharma, Adam de Havenon, Yize Zhao, Ece Eldem, Jacqueline A. French, Clarissa Lin Yasuda, Jesse Dawson, David S. Liebeskind, Patrick Kwan, Nishant K. Mishra
Summary: We conducted a systematic review to investigate the association of single-nucleotide polymorphisms (SNPs) with the risk of post-traumatic epilepsy (PTE) and post-stroke epilepsy (PSE). Our findings showed that 11 SNPs were significantly associated with an increased risk of PTE, while 3 SNPs were significantly associated with an increased risk of PSE, and 2 SNPs were associated with a reduced risk. The association between APOE e4 and PTE was not significant.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Medicine, Research & Experimental
Jiayong Wang, Zujun Sun, Yibao Yang, Junlu Wu, Wenqiang Quan, Xingcai Chen, Peihua Ni, Dong Li
Summary: This study found associations between certain clinical laboratory parameters and genetic polymorphisms such as ACE I/D, β-Fg-455 A/G, and PAI-1 4G/5G, which are closely related to the risk of IS. The D allele of ACE I/D may be associated with elevated levels of total cholesterol and LDL-C. Elevated levels of blood glucose, triglycerides, and LDL-C are risk factors for IS.
EXPERIMENTAL AND THERAPEUTIC MEDICINE
(2021)
Review
Cell Biology
Kadir Uludag, Dong Mei Wang, Xiang Yang Zhang
Summary: This review article examines the association between risk of tardive dyskinesia (TD) and altered superoxide dismutase (SOD) levels, as well as several genetic polymorphisms. The results suggest that TD occurrence may be influenced by these factors, including VAL 66 Met and DRD3 9ser.
OXIDATIVE MEDICINE AND CELLULAR LONGEVITY
(2022)
Article
Cardiac & Cardiovascular Systems
Yuhan Zang, Daoxia Guo, Lihua Chen, Pinni Yang, Zhengbao Zhu, Xiaoqing Bu, Tian Xu, Chongke Zhong, Aili Wang, Hao Peng, Tan Xu, Jing Chen, Yonghong Zhang, Jiang He
Summary: High serum netrin-1 levels are associated with improved prognosis after ischemic stroke at 3 months in patients with high total cholesterol levels, but not in those with normal total cholesterol levels. Further studies are needed to confirm these findings and explore potential mechanisms.
NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES
(2021)
Review
Physics, Multidisciplinary
Yi-feng Yang, Guang-Ming Zhang
Summary: This paper gives a brief review of the Mott-Kondo scenario and its application in nickelate superconductors. An effective t-J-K model is proposed to explain the low-energy properties, and the effects of doping and pairing symmetry are discussed.
FRONTIERS IN PHYSICS
(2022)
Article
Materials Science, Multidisciplinary
Yuanji Xu, Yutao Sheng, Yi-feng Yang
Summary: By combining density functional theory and dynamical mean-field theory, it is shown that NaYbSe2 undergoes an insulator-to-metal transition under pressure, followed by the emergence of superconductivity. The transition is a two-stage process, with superconductivity appearing in the heavy-fermion phase.
NPJ QUANTUM MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Zhehong Liu, Shuaikang Zhang, Xiao Wang, Xubin Ye, Shijun Qin, Xudong Shen, Dabiao Lu, Jianhong Dai, Yingying Cao, Kai Chen, Florin Radu, Wen-Bin Wu, Chien-Te Chen, Sonia Francoual, Jose R. L. Mardegan, Olaf Leupold, Liu Hao Tjeng, Zhiwei Hu, Yi-feng Yang, Youwen Long
Summary: This study reports a novel half metal material, LaCu3Fe2Re2O12, which exhibits high Curie temperature, wide spin energy gap, and large magnetization. The material's magnetic properties remain stable at high temperatures, making it suitable for advanced spintronic devices.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Physical
Xu Zheng, Jiao Tan, Qianqian Wang, Chan Gao, Xiaohui Yu, Wenhui Xie, Yifeng Yang, Yujie Wang, Changqing Jin
Summary: In this study, MnN single crystal was synthesized under high pressure and temperature, and a first-order phase transition accompanied by an antiferromagnetic to ferromagnetic magnetic structure transition was observed. The magnetic and structural transition of MnN was found to be induced by the enhanced ferromagnetic double exchange interactions in the [001] plane. These findings provide important insights for the development of GaMnN or MnN layer diluted magnetic semiconductor materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Chen, Xuewen Hou, Yifeng Yang, Qianqian Ge, Yan Zhou, Shengdong Nie
Summary: This study proposes a novel lung nodule detection model with high detection sensitivity and low false-positive rate, which shows potential for clinical application.
JOURNAL OF DIGITAL IMAGING
(2023)
Review
Physics, Condensed Matter
Yi-feng Yang
Summary: Recent advances in experimental techniques have provided new insights into heavy fermion physics. This article summarizes the author's research in this area, specifically focusing on five major topics: development of phase coherence and two-stage hybridization, two-fluid behavior and hidden universal scaling, quantum phase transitions and fractionalized heavy fermion liquid, quantum critical superconductivity, and material-specific properties. These findings go beyond conventional mean-field or local approximation-based theories, leading to an emerging global picture of heavy fermion physics.
JOURNAL OF PHYSICS-CONDENSED MATTER
(2023)
Article
Engineering, Industrial
Xiaoyu Yang, Liyang Xie, Yifeng Yang, Bingfeng Zhao, Yuan Li
Summary: The Weibull distribution is widely used for reliability analysis. This paper presents a simple method called the minimum discrepancy method for parameter estimation of the Weibull distribution using both complete and censored data. The study also compares thirteen methods using several criteria in a small sample size. The results recommend the generalized least square 1, the weighted least square 1, the weighted maximum likelihood estimation, and the minimum discrepancy method for parameter estimation with small samples.
QUALITY ENGINEERING
(2023)
Article
Geriatrics & Gerontology
Zhaoshun Jiang, Yuxi Cai, Songbin Liu, Pei Ye, Yifeng Yang, Guangwu Lin, Shihong Li, Yan Xu, Yangjing Zheng, Zhijun Bao, Shengdong Nie, Weidong Gu
Summary: Using machine-learning algorithms, we identified abnormal functional connectivity patterns in the default mode network (DMN) of patients with delayed neurocognitive recovery (DNR), particularly in regions involved in visual processing, suggesting that these changes could serve as potential biomarkers for predicting DNR.
FRONTIERS IN AGING NEUROSCIENCE
(2023)
Article
Polymer Science
Chengpeng Li, Yanting Shi, Huixin Su, Yifeng Yang, Wen Li, Tong Zhang, Weiyin Chen, Roujun Lin, Yongzheng Li, Lusheng Liao
Summary: Siloxane elastomers were enhanced with multi-strength hydrogen bonds and dynamic disulfide bonds to achieve high stretchability, mechanical strength, self-healing capacity, and recyclability. The ratio of hydrogen bonding networks was adjusted to tune the mechanical properties and self-healing efficiency of the elastomers. The introduction of aromatic disulfide resulted in significantly improved tensile strength, strain, and toughness, with a healing efficiency of 75%. A self-healing flexible bifunctional sensor was also developed using liquid metal alloy encapsulated between the elastomers layers for pressure and motion detection.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Engineering, Civil
Xiaoyu Yang, Liyang Xie, Jiaxin Song, Jianpeng Chen, Bingfeng Zhao, Yifeng Yang
Summary: In this paper, an optimal probability estimator for Weibull parameters is obtained through Monte Carlo simulations, and it is found to exhibit stronger robustness and higher accuracy compared to five commonly used estimators, especially in cases of small sample sizes. The recommended optimal probability estimator is the midpoint rank for LRE, MDE, and EIV in practical applications.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Physics, Multidisciplinary
Dongchen Huang, Junde Liu, Tian Qian, Yi-Feng Yang
Summary: De-noising is crucial in spectrum post-processing. In this study, we propose a de-noising method for angle-resolved photoemission spectroscopy (ARPES) to extract intrinsic spectral information without a training set. Our method utilizes the self-correlation information of the spectra themselves, preserving the intrinsic energy band features for further analysis and processing. It has the potential to be extended to other fields and application scenarios with challenging training data acquisition.
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
(2023)
Article
Multidisciplinary Sciences
Haifeng Yang, Jingjing Gao, Yingying Cao, Yuanji Xu, Aiji Liang, Xiang Xu, Yujie Chen, Shuai Liu, Kui Huang, Lixuan Xu, Chengwei Wang, Shengtao Cui, Meixiao Wang, Lexian Yang, Xuan Luo, Yuping Sun, Yi-feng Yang, Zhongkai Liu, Yulin Chen
Summary: Mott physics plays a critical role in materials with strong electronic correlations. The transition from Mott insulator to metal in transition metal oxides is mainly driven by chemical doping, external pressure, temperature, and gate voltage, while in 4f-electron systems, it is mainly driven by Kondo hybridization. However, in YbInCu4, an unusual Mott instability is found to accompany its first-order valence transition, challenging the prevalent Kondo picture. This work provides important insight into the understanding and manipulation of correlated quantum phenomena in the f-electron system.
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Hanghui Chen, Yi-feng Yang, Guang-Ming Zhang, Hongquan Liu
Summary: In this study, first-principles calculations are used to demonstrate a charge-transfer-driven charge order mechanism in infinite-layer nickelates, resulting in a characteristic stripe state. The stability of this charge order arises from the competition between Hubbard interaction on Ni-d orbitals and charge transfer energy between Ni-d orbitals and conduction bands.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Jiangfan Wang, Yi-feng Yang
Summary: Understanding the nature of local-itinerant transition of strongly correlated electrons is a central problem in condensed matter physics. A solvable Kondo-Heisenberg model is proposed to investigate this issue, which reveals the continuous evolution of Fermi surfaces and two-fluid behaviors, providing important insight into the microscopic description of two-fluid phenomenology in heavy fermion systems.
Article
Materials Science, Multidisciplinary
Junde Liu, Dongchen Huang, Yi-feng Yang, Tian Qian
Summary: Spectroscopic data often contains unwanted extrinsic signals. A deep learning method is proposed in this study to effectively overcome this problem by utilizing the self-correlation information within the spectra. This method can remove the grid structure and noise while optimizing the quality of the spectra, potentially enhancing spectral measurements in various spectroscopic experiments.
