Article
Clinical Neurology
Yipeng Song, Lei Qian, Jie Sui, Russell Greiner, Xin-min Li, Andrew J. Greenshaw, Yang S. Liu, Bo Cao
Summary: Based on the Canadian Longitudinal Study on Aging, machine learning models can accurately predict the risk of future depression among middle-aged and elderly individuals. The identified risk factors include subthreshold depression symptoms, emotional instability, low life satisfaction, perceived health, social support, and nutrition risk.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Clinical Neurology
Yi Zhang, Jieyi Lu, Shicun Huang, Yuan Chen, Qi Fang, Yin Cao
Summary: This study evaluated the association between serum α-Klotho levels and depression in middle-aged and older individuals. It found a significant negative association between serum α-Klotho levels and depression in women, while a significant positive association was observed in men, which disappeared after adjusting for other factors.
JOURNAL OF AFFECTIVE DISORDERS
(2023)
Article
Medicine, General & Internal
Yicheng Wang, Yuan Xiao, Yan Zhang
Summary: The study aimed to develop and validate a machine learning algorithm prediction model for assessing the risk of heart failure in middle-aged and elderly patients with periodontitis. Independent risk factors for heart failure were identified, and various machine learning algorithms were used to construct predictive models based on NHANES data. The models showed promising performance in predicting heart failure risk, with the K-nearest neighbor algorithm performing the best among the six models tested.
Article
Psychiatry
Zihan Qu, Yashan Wang, Dingjie Guo, Guangliang He, Chuanying Sui, Yuqing Duan, Xin Zhang, Linwei Lan, Hengyu Meng, Yajing Wang, Xin Liu
Summary: This study utilized a deep learning algorithm to identify depression in veterans and determine the factors associated with its clinical manifestations. Compared to traditional machine learning methods, the deep learning algorithm demonstrated optimal performance in identifying depression among veterans.
Article
Psychology, Clinical
Fatih Ozel, Saima Hilal, Maud de Feijter, Isabelle van der Velpen, Nese Direk, M. Arfan Ikram, Meike W. Vernooij, Annemarie Luik
Summary: This study found associations between neuroimaging markers and depressive symptoms in middle-aged and elderly individuals. Specifically, smaller total brain volume, larger white matter hyperintensities volume, presence of cortical infarcts, and higher mean diffusivity were cross-sectionally associated with more depressive symptoms. Longitudinal analyses showed that smaller total brain volume and presence of cortical infarcts were associated with increasing depressive symptoms over time. These associations were more pronounced at older ages.
PSYCHOLOGICAL MEDICINE
(2023)
Article
Clinical Neurology
Shuming Ji, Jinyu Wang, Wei Wang, Fang Liao
Summary: This study examines the effect of depression on sleep duration using data from the China Health and Retirement Longitudinal Study. The results show that depression significantly reduces sleep duration, especially for the elderly, female, and participants with normal baseline sleep duration. Longer depressive duration leads to a greater reduction in sleep duration.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Orthopedics
Fengyao Mei, Shengjie Dong, Jiaojiao Li, Dan Xing, Jianhao Lin
Summary: This study analyzed survey data from the Chinese population and found that factors such as gender, age, place of residence, education level, insurance status, and health-related behavior may influence people's choice of treatment for musculoskeletal pain. These findings can provide useful information for orthopedic surgeons when devising treatment strategies for musculoskeletal pain.
BMC MUSCULOSKELETAL DISORDERS
(2023)
Article
Environmental Sciences
Ning Jiang, Jie Ban, Yuming Guo, Yi Zhang
Summary: This study conducted three repeated surveys in 24 communities nationwide in China to examine the association between ambient temperature and depression. The results showed a linear relationship between lower temperatures and increased risk of depression, with every 5 degrees C reduction leading to a 15.6% increase in depression risk. Subgroup analyses revealed that individuals aged > 65 years and women were more vulnerable to the effects of ambient temperature.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Clinical Neurology
Collin Sakal, Juan Li, Yu -Tao Xiang, Xinyue Li
Summary: The study developed and externally validated the Chinese Geriatric Depression Risk calculator (CGD-Risk) using nationally representative survey data. The model showed good discrimination in identifying elderly Chinese at high risk of depression, while also addressing issues related to stigma surrounding emotional openness.
JOURNAL OF AFFECTIVE DISORDERS
(2022)
Article
Multidisciplinary Sciences
Yayun Fan, Dingliu He
Summary: The study found that worse self-rated health is associated with higher all-cause mortality, especially among individuals living in rural areas, those who are literate, those with above-average household income, and those working in agriculture or related occupations.
SCIENTIFIC REPORTS
(2022)
Article
Health Care Sciences & Services
Xiwang Du, Jiazhi Liao, Qing Ye, Hong Wu
Summary: This study found that different dimensions of internet use are associated with lower levels of depression. Social participation partially mediates the association between multidimensional internet use and depression in the eastern, central, and western regions, respectively. Additionally, the regional informatization development level helps individuals further their internet use and social participation, reducing the impact of depression. However, this effect weakens sequentially from the western region to the central region and then to the eastern region.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Psychiatry
Dingliu He, Yayun Fan, Yanan Qiao, Siyuan Liu, Xiaowei Zheng, Juanjuan Zhu
Summary: This study aimed to explore the association between different long-term depressive symptom trajectory patterns and the risk of arthritis. The results showed that five depressive symptom trajectories, including stable-high, decreasing, increasing, stable-moderate, and stable-low, were identified. Compared with the stable-low trajectory group, participants in the stable-moderate, increasing, decreasing, and stable-high trajectory groups had a higher cumulative risk of arthritis. Participants with the stable-high symptom trajectory had the highest cumulative risk of arthritis.
JOURNAL OF PSYCHOSOMATIC RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Amy Hofman, Trudy Voortman, M. Arfan Ikram, Annemarie Luik
Summary: Replacing sedentary behavior or sleep with more moderate-to-vigorous physical activity is associated with fewer depressive symptoms, highlighting the importance of intensive physical activity for middle-aged and older adults in relation to depressive symptoms.
JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
(2022)
Article
Multidisciplinary Sciences
Lara Lama, Oskar Wilhelmsson, Erik Norlander, Lars Gustafsson, Anton Lager, Per Tynelius, Lars Warvik, Claes-Goran Ostenson
Summary: Machine learning methodology was used to detect individuals with increased risk of type 2 diabetes or prediabetes, based on features such as body mass index, waist-hip ratio, blood pressure, and diabetes heredity. The models generated individualized risk profiles and identified key features influencing diabetes risk, which could potentially be used to develop personalized healthcare plans for diabetes management.
Article
Environmental Sciences
Yongquan Yu, Yucheng Wang, Yu Dong, Shuge Shu, Di Zhang, Jiayi Xu, Ying Zhang, Wei Shi, Shou-Lin Wang
Summary: This study used data from the NHANES 2011-2014 cycles to examine the association between 11 urinary phthalate metabolites and cognitive impairment. The results showed that butyl benzyl phthalate (BBP) was closely associated with cognitive deficits in elderly individuals, possibly through its effects on hippocampal neurons, neuroinflammation, and neuroactive receptors.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Polymer Science
Shuaiwei Qi, Chenyang Zhang, Tengfei Yan, Feihu Yang, Jing Zhang, Shizhong Mao, Zeyuan Dong
MACROMOLECULAR RAPID COMMUNICATIONS
(2020)
Article
Chemistry, Multidisciplinary
Chenyang Zhang, Jun Tian, Shuaiwei Qi, Bing Yang, Zeyuan Dong
Article
Chemistry, Organic
Jing Zhang, Shuaiwei Qi, Chenyang Zhang, Zengming Fan, Qinwen Ding, Shizhong Mao, Zeyuan Dong
Article
Infectious Diseases
Junjun Hu, Chenyang Zhang, Song Wang, Xiaofei Chen, Jiayi Hu, Xin Liu
Summary: This study evaluated the accuracy of rapid diagnostic tests for malaria in children under 5 years old, showing good overall performance with the lactate dehydrogenase-based test performing better than the histidine-rich protein 2-based test.
DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE
(2021)
Article
Chemistry, Multidisciplinary
Shuaiwei Qi, Chenyang Zhang, Hao Yu, Jing Zhang, Tengfei Yan, Ze Lin, Bing Yang, Zeyuan Dong
Summary: Small molecules with natural channel-like functions have potential in treating human diseases. Aromatic helical scaffolds were used to develop foldamer-based ion channels of varying sizes, demonstrating the importance of channel size in ion transport selectivity and leading to the discovery of promising artificial K+ and sodiumpreferential channels.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
Article
Chemistry, Multidisciplinary
Chenyang Zhang, Jing Zhang, Wencan Li, Shizhong Mao, Zeyuan Dong
Summary: Anion transmembrane nanochannels constructed from dynamic covalent helices show high transport activity, anion selectivity, and the ability to accelerate anion movement across lipid membranes. These channels also exhibit dehydration energy dependent anion selectivity, highlighting their importance as general channel scaffolds with economical synthesis and special nanocavities.
Article
Chemistry, Multidisciplinary
Shuaiwei Qi, Jun Tian, Jing Zhang, Lei Zhang, Chenyang Zhang, Ze Lin, Jing Min, Shizhong Mao, Zeyuan Dong
Summary: This study investigates the relationship between channel size and ion selectivity by developing a new type of artificial ion channel based on pore-forming helical polymers. The artificial channel exhibits high transport activity and Na+ selectivity, and it transports Na+ ions in a different manner compared to natural Na+ channels. Overall, this research provides crucial insights into ion selectivity in the field of ion channels.
Article
Medicine, General & Internal
Xiaofei Chen, Chenyang Zhang, Dingjie Guo, Yashan Wang, Junjun Hu, Jiayi Hu, Song Wang, Xin Liu
Summary: This study aimed to explore the risk factors and prognostic factors of invasive ductal carcinoma (IDC) and predict the survival of IDC patients with metastasis. Risk factors included age, race, marital status, income, geographic region, grade, T stage, N stage, subtype, surgery, and radiotherapy, while prognostic factors included age, race, marital status, income, geographic region, grade, T stage, N stage, subtype, surgery, and chemotherapy. A nomogram was established with a C-index of 0.701, showing good consistency between actual observation and prediction. Survival curves varied significantly among different metastatic patterns.
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION
(2022)
Article
Chemistry, Multidisciplinary
Min Jing, Zhang Chenyang, Qi Shuaiwei, Wang Liyan, Dong Zeyuan
Summary: Responsive coordination polymers can undergo conformational changes and exhibit unique functions in different microenvironments, making them promising candidates for the design of smart materials.
CHEMICAL RESEARCH IN CHINESE UNIVERSITIES
(2022)
Review
Clinical Neurology
Yashan Wang, Jiayi Hu, Xiaofei Chen, Song Wang, Chenyang Zhang, Junjun Hu, Dingjie Guo, Xin Liu
Summary: This meta-analysis evaluated the diagnostic accuracy of RT-QuIC for Lewy body diseases and found that it is a reliable and accurate method for diagnosing these diseases.
NEUROLOGICAL SCIENCES
(2022)
Review
Acoustics
Xiang Yue, Lili Zhong, Yashan Wang, Chenyang Zhang, Xiaofei Chen, Song Wang, Jiayi Hu, Junjun Hu, Chunpeng Wang, Xin Liu
Summary: This study evaluated the accuracy of the ADNEX model in differentiating malignant and benign ovarian tumors and determined the optimal cutoff value for diagnosis. The results showed that the ADNEX model had high sensitivity and specificity in distinguishing between malignant and benign ovarian tumors, and it was particularly effective in diagnosing benign and stage II-IV ovarian tumors.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Lei Zhang, Chenyang Zhang, Xin Dong, Zeyuan Dong
Summary: In this study, artificial supramolecular lithium channels composed of pore-containing small aromatic molecules were developed for the treatment of psychiatric disorders. These channels showed unprecedented transmembrane transport of exogenous lithium ions with high selectivity. The discovery of the basic requirements for ion transport function in these channels may have important implications in studying the physiological role of intracellular lithium ions and treating psychiatric disorders.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Chemistry, Multidisciplinary
Jing Zhang, Shuaiwei Qi, Chenyang Zhang, Wenzhe Wang, Qinwen Ding, Hongyu Zhang, Zeyuan Dong
Summary: A straightforward and rational approach was used to construct supramolecular assemblies with ordered nanostructures in a two-dimensional arrangement. By taking advantage of the synergistic effect of multiple non-covalent interactions, the designed molecular monomer had a specific orientation in the self-assembly process, thus achieving two-dimensional control. The strategy of collaborative self-assembly using multiple non-covalent interactions is expected to be extended to the construction of various unique supramolecular 2D materials.
CHEMICAL COMMUNICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Chenyang Zhang, Xiaoli Deng, Chenxi Wang, Chunyan Bao, Bing Yang, Houyu Zhang, Shuaiwei Qi, Zeyuan Dong