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Article ; Online: The population affected by dust in China in the springtime.

Wang, Weijie / Zhang, Junjie

2024 Volume 19, Issue 2, Page(s) e0281311

Abstract: Dust events in northern China, particularly in the springtime, affect millions of people in the source and downwind regions. We investigate the population affected by various dust levels in China in the springtime from 2003 to 2020 using satellite ... ...

Abstract	Dust events in northern China, particularly in the springtime, affect millions of people in the source and downwind regions. We investigate the population affected by various dust levels in China in the springtime from 2003 to 2020 using satellite retrievals of dust optical depth (DOD). We select three DOD thresholds, namely DOD > 0.2, DOD > 0.3, and DOD > 0.4, to estimate the population affected and find that each year the population affected can differ by one order of magnitude. The population exposed to DOD > 0.2 ranged from 16 million (2019) to over 200 million (2006). The population exposed to DOD > 0.3 ranged from 10 million (2015) to 70 million (2006). The population exposed to DOD > 0.4 ranged from 4 million (2017) to 36 million (2006). In years when dust events are frequent, people in the source and downwind regions are both affected, whereas, in years when dust events are less frequent, people affected are mainly in the source regions. Furthermore, we use the relative index of inequality to assess whether dust hazards impose unequal pollution burdens on different socioeconomic groups. We find that low-income communities have been more likely affected by dust pollution since 2013.
MeSH term(s)	Humans ; Dust/analysis ; China ; Environmental Pollution ; Environmental Monitoring ; Air Pollutants/analysis
Chemical Substances	Dust ; Air Pollutants
Language	English
Publishing date	2024-02-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0281311
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Article: Comment on: Changes in immunosuppressive medication because of COVID-19 by patients with chronic inflammatory rheumatic diseases: anxiety was not a major driver.

Wang, Weijie / Wang, Jian

Clinical and experimental rheumatology

2023 Volume 41, Issue 3, Page(s) 762

MeSH term(s)	Humans ; COVID-19 ; SARS-CoV-2 ; Antirheumatic Agents/adverse effects ; Rheumatic Diseases/drug therapy ; Immunosuppressive Agents/adverse effects
Chemical Substances	Antirheumatic Agents ; Immunosuppressive Agents
Language	English
Publishing date	2023-01-04
Publishing country	Italy
Document type	Letter ; Comment
ZDB-ID	605886-3
ISSN	1593-098X ; 0392-856X
ISSN (online)	1593-098X
ISSN	0392-856X
DOI	10.55563/clinexprheumatol/tfggsk
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Article ; Online: Spacecraft Attitude Measurement and Control Using VSMSCSG and Fractional-Order Zeroing Neural Network Adaptive Steering Law.

Li, Lei / Ren, Yuan / Wang, Weijie / Pang, Weikun

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 3

Abstract: In order to improve the accuracy and convergence speed of the steering law under the conditions of high dynamics, high bandwidth, and a small deflection angle, and in an effort to improve attitude measurement and control accuracy of the spacecraft, a ... ...

Abstract	In order to improve the accuracy and convergence speed of the steering law under the conditions of high dynamics, high bandwidth, and a small deflection angle, and in an effort to improve attitude measurement and control accuracy of the spacecraft, a spacecraft attitude measurement and control method based on variable speed magnetically suspended control sensitive gyroscopes (VSMSCSGs) and the fractional-order zeroing neural network (FO-ZNN) steering law is proposed. First, a VSMSCSG configuration is designed to realize attitude measurement and control integration in which the VSMSCSGs are employed as both actuators and attitude-rate sensors. Second, a novel adaptive steering law using FO-ZNN is designed. The matrix pseudoinverses are replaced by FO-ZNN outputs, which solves the problem of accuracy degradation in the traditional pseudoinverse steering laws due to the complexity of matrix pseudoinverse operations under high dynamics conditions. In addition, the convergence and robustness of the FO-ZNN are proven. The results show that the proposed FO-ZNN converges faster than the traditional zeroing neural network under external disturbances. Finally, a new weighting function containing rotor deflection angles is added to the steering law to ensure that the saturation of the rotor deflection angles can be avoided. Semi-physical simulation results demonstrate the correctness and superiority of the proposed method.
Language	English
Publishing date	2024-01-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s24030766
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Article: Epidemiology of gout - Global burden of disease research from 1990 to 2019 and future trend predictions.

Han, Tingfen / Chen, Wenli / Qiu, Xiasang / Wang, Weijie

Therapeutic advances in endocrinology and metabolism

2024 Volume 15, Page(s) 20420188241227295

Abstract: Background: Understanding the global burden of gout in the past and future can provide important references for optimizing prevention and control strategies in healthcare systems.: Objectives: This study aimed to report variations in the global ... ...

Abstract	Background: Understanding the global burden of gout in the past and future can provide important references for optimizing prevention and control strategies in healthcare systems. Objectives: This study aimed to report variations in the global disease burden and risk factors of gout in 204 countries and territories from 1990 to 2019. Design: We conducted a retrospective analysis of gout based on the latest Global Burden of Disease (GBD) 2019 database. Methods: We collected data on the prevalence, incidence, and disability-adjusted life years (DALYs) of gout from 1990 to 2019. The data were then stratified by age, sex, and economic development level. Decomposition analysis, frontier analysis, and prediction models were used to analyze the changes and influencing factors influencing each indicator. Results: Globally, there were 53,871,846.4 [95% uncertainty interval (UI): 43,383,204.6-66,342,327.3] prevalent cases, 92,228,86.8 (95% UI: 7419,132.1-11,521,165) incident cases, and 1673,973.4 (95% UI: 1,068,061.1-2,393,469.2) cases of DALYs of gout in 2019, more than double those in 1990. Moreover, the pace of increase in the age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR), and age-standardized DALY rate (ASDR) accelerated during 1990-2019, with estimated annual percentage changes (EAPC) of 0.94 [95% confidence interval (CI): 0.85-1.03], 0.77 (95% CI: 0.69-0.84), and 0.93 (95% CI: 0.84-1.02), respectively, especially among men. The disease burden of gout has increased in all the other 20 GBD regions in the past 30 years, except Western Sub-Saharan Africa. The highest risk of high body mass index (BMI) and kidney dysfunction was in high-income countries such as North America and East Asia. The global prevalence rate, incidence rate, and DALYs rate of gout in 2030 will reach 599.86, 102.96 per 100,000 population, and 20.26 per 100,000 population, respectively, roughly the same as in 2019. Conclusion: With the development of society, the disease burden of gout will become increasingly severe. It is very important to study the accurate epidemiological data on gout for clinical diagnosis and treatment and health policy.
Language	English
Publishing date	2024-03-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	2554822-0
ISSN	2042-0196 ; 2042-0188
ISSN (online)	2042-0196
ISSN	2042-0188
DOI	10.1177/20420188241227295
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Article ; Online: A systematic review and meta-analysis on abnormal posturing among brain injury patients.

Wei, Yuyu / Cui, Yan / Pang, Xiaojun / Wang, Weijie

Arquivos de neuro-psiquiatria

2024 Volume 82, Issue 4, Page(s) 1–10

Abstract: Background: Abnormal motor posturing (AMP), exhibiting as decorticate, decerebrate, or opisthotonos, is regularly noticed among children and adults.: Objective: This systematic review and meta-analysis examined the risk factors and outcome of ... ...

Title translation	Uma revisão sistemática e metanálise sobre postura anormal entre pacientes com lesão cerebral.
Abstract	Background: Abnormal motor posturing (AMP), exhibiting as decorticate, decerebrate, or opisthotonos, is regularly noticed among children and adults. Objective: This systematic review and meta-analysis examined the risk factors and outcome of posturing among severe head and brain injury subjects. Methods: Based on the inclusion and exclusion criteria and using MeSH terms: "decerebrate posturing", "opisthotonic posturing", "brain injury", and/or "cerebral injury" articles were searched on Scopus, PubMed, Science Direct, and google scholar databases. Observational studies, case series, and case reports were included. Results: A total of 1953 studies were retrieved initially, and based on the selection criteria, 20 studies were finally selected for review and were analyzed for meta-analysis based on the mortality between the hematomas. The functional outcomes of this study are the risk factors, mortality rate and Glasgow Outcome Scale. Decerebrative patients were higher among the studies related to head injury surgeries. Males were mainly treated for decerebrate postures compared with the female subjects. Extradural hematoma and acute subdural hematoma with cerebral contusion were quite common in the surgical mass lesions. Conclusion: The findings reported that the lesion types, the operative procedures, and the age of the decerebrating patients with brain injuries are the significant prognostic factors determining the survival outcomes.
MeSH term(s)	Humans ; Risk Factors ; Male ; Female ; Brain Injuries/complications ; Glasgow Outcome Scale ; Sex Factors
Language	English
Publishing date	2024-04-23
Publishing country	Germany
Document type	Systematic Review ; Journal Article ; Meta-Analysis
ZDB-ID	418916-4
ISSN	1678-4227 ; 0004-282X
ISSN (online)	1678-4227
ISSN	0004-282X
DOI	10.1055/s-0044-1785689
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Article ; Online: Model construction and application for predicting pre-eclampsia by Sonoclot coagulation analyzer.

Shi, Hongyu / Wang, Weijie / Li, Fan / Guo, Ao / Liu, Tiecheng

Non-coding RNA research

2024 Volume 9, Issue 2, Page(s) 288–293

Abstract: Maternal age has significantly increased among Chinese women, thereby posing risk of pregnancy-related complications. Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality, and coagulation analysis in conjunction with clinical ...

Abstract	Maternal age has significantly increased among Chinese women, thereby posing risk of pregnancy-related complications. Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality, and coagulation analysis in conjunction with clinical signs and symptoms are generally used for its diagnosis with limited efficacy. Sonoclot coagulation analyzer is effective in assessing coagulation function used during cerebral surgery and cardiovascular surgery. However, its use has not been explored in preeclampsia. Here, we investigated the potential use of Sonoclot in diagnosing preeclampsia in obstetrics cases. Subjects meeting the screening criteria were divided either into a test group or a control group, according to whether they were preeclamptic or not. We recorded the Sonoclot-derived coagulation and the routine coagulation parameters including platelet function (PF), activated clotting time (ACT) and clot rate (CR), prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), and platelet count. Regression analysis was done on the relevant parameters to assess the feasibility of Sonoclot analyzer in preeclampsia diagnosis. In parallel, changes in preeclampsia lncRNAs was also evaluated. Significant differences were recorded in PT and ACT between the two groups. In the monovariant logistic regression, PT and ACT appeared to be reliable predictor variables. In the multinomial logistic regression, a total of five regression steps were performed with decreasing AIC values. The K-fold cross validation resulted in an accuracy rate (ACC) of 77.5%, a false positive rate of 16.4%, and a false negative rate of 33.2%. lncRNAs ANRIL and HOXD-AS1 were found deregulated. Our findings indicate that Sonoclot may be useful for diagnosis of preeclampsia in obstetrics.
Language	English
Publishing date	2024-02-10
Publishing country	Netherlands
Document type	Journal Article
ISSN	2468-0540
ISSN (online)	2468-0540
DOI	10.1016/j.ncrna.2024.02.008
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Article: A preliminary study on analysis of lower limb energy during walking in the patients with knee replacement.

Zhou, Haifei / Zhang, Yuying / Agarwal, Archit / Arnold, Graham / Wang, Weijie

Heliyon

2024 Volume 10, Issue 6, Page(s) e27960

Abstract: Background: Knee replacement surgeries are used to reduce pain and enhance functionality for individuals with knee arthritis. It is predicted that the annual volume of total knee replacement surgeries conducted in the US will surge by a substantial 673% ...

Abstract	Background: Knee replacement surgeries are used to reduce pain and enhance functionality for individuals with knee arthritis. It is predicted that the annual volume of total knee replacement surgeries conducted in the US will surge by a substantial 673% by 2030. Though a lot of studies have done gait analysis on patients with knee replacement, little research is on energy changes in the lower limbs during gait. This study aimed to investigate the mechanical energy changes in the lower limbs for patients with total knee arthroplasty (TKA) and unicondylar knee arthroplasty (UKA), and ultimately to provide a specific tool to analyze limb energy during gait in clinical practice. Methods: 10 TKA and 8 UKA patients were recruited for gait analysis. The control group consisted of 11 individuals without knee replacement surgery. Vicon motion capture system and Plug-in-Gait model were used to collect gait data to obtain marker coordinates and gait parameters. The kinetic energy, potential energy, and rotational energy for each segment in the lower limbs were calculated. The energies in the centre of pelvis were considered as the approximate to the centre of mass. The energy recovery coefficients were analysed for each segment during gait. SPSS was used to identify the differences between different groups. Results: The results showed that during walking, the upper leg had the highest recovery coefficient, approximately 40%, followed by the foot at 10%, and the lowest recovery coefficient was observed in the lower leg, approximately 1-3%. However, the energy recovery coefficients at the centre of pelvis were significantly higher in the control group than the TKA and UKA groups by roughly 12%-15%. Conclusions: The energy difference between the operative and non-operative sides is not significant regardless of the type of surgery. The TKA and UKA groups were more active in potential energy than control group. The upper leg has the highest recovery efficiency of kinetic and potential energy exchanges when walking. The control group used the energy for whole body is better than the patient groups. This study provides a new and useful way to analyze mechanical energy in the lower limbs during gait and could be applied in clinical practice.
Language	English
Publishing date	2024-03-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e27960
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Article: Prediction and analysis of risk factors for diabetic retinopathy based on machine learning and interpretable models.

Wang, Xu / Wang, Weijie / Ren, Huiling / Li, Xiaoying / Wen, Yili

Heliyon

2024 Volume 10, Issue 9, Page(s) e29497

Abstract: Objective: Diabetic retinopathy is one of the major complications of diabetes. In this study, a diabetic retinopathy risk prediction model integrating machine learning models and SHAP was established to increase the accuracy of risk prediction for ... ...

Abstract	Objective: Diabetic retinopathy is one of the major complications of diabetes. In this study, a diabetic retinopathy risk prediction model integrating machine learning models and SHAP was established to increase the accuracy of risk prediction for diabetic retinopathy, explain the rationality of the findings from model prediction and improve the reliability of prediction results. Methods: Data were preprocessed for missing values and outliers, features selected through information gain, a diabetic retinopathy risk prediction model established using the CatBoost and the outputs of the mode interpreted using the SHAP model. Results: One thousand early warning data of diabetes complications derived from diabetes complication early warning dataset from the National Clinical Medical Sciences Data Center were used in this study. The CatBoost-based model for diabetic retinopathy prediction performed the best in the comparative model test. ALB_CR, HbA Conclusion: The risk factors for diabetic retinopathy include poor renal function, elevated blood glucose level, liver disease, hematonosis and dysarteriotony, among others. Diabetic retinopathy can be prevented by monitoring and effectively controlling relevant indices. In this study, the influence relationships between the features were also analyzed to further explore the potential factors of diabetic retinopathy, which can provide new methods and new ideas for the early prevention and clinical diagnosis of subsequent diabetic retinopathy.
Language	English
Publishing date	2024-04-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e29497
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Article: Rheumatoid arthritis characteristics and classification of heat and cold patterns-an observational study.

Wang, Weijie / Guan, Jintao / Li, Zhengfu / Wang, Xinchang

Heliyon

2023 Volume 9, Issue 2, Page(s) e13439

Abstract: Introduction: Traditional Chinese medicine (TCM) has been proven to be an effective complementary therapy in treating rheumatoid arthritis (RA). The cold pattern and the heat pattern were the two main TCM patterns for RA, which is crucial for TCM ... ...

Abstract	Introduction: Traditional Chinese medicine (TCM) has been proven to be an effective complementary therapy in treating rheumatoid arthritis (RA). The cold pattern and the heat pattern were the two main TCM patterns for RA, which is crucial for TCM treatment. The cold pattern is characterized by fear of cold and wind, joint pain with a thin white tongue coating which can be relieved by hot herbs. In contrast, heat pattern patients suffer from severe joint pain with a yellow coating, with red swelling of the skin and high skin temperature which can be relieved by cooling herbs. Objective: We aimed to classify the heat and cold patterns in RA patients with cluster analysis and factor analysis. Moreover, we aimed to explore the association of RA characteristics between these two patterns. Methods: and Design: A cross-sectional observational research method was used, and data was collected on 300 RA patients in Hangzhou in China. Signs and symptoms associated with RA were clustered using SPSS 22.0 software. In addition, factor analysis was also used for the classification. After classification of heat and cold patterns, characteristics and treatment of the RA participants between the two patterns were explored. Results: RA patients in the study were divided into two categories using cluster analysis. Twenty-two symptoms in the first category were included in the heat pattern of RA patients. After factor analysis, nine principal components were extracted to heat pattern. The component with the highest eigenvalue (2.530) were mainly contributed by shortness of breath, palpitation, heavy limbs, chest tightness and yellow greasy tongue with high factor loading values (0.765, 0.703, 0.504, 0.429 and 0.402, respectively). Ten symptoms in the second category were included in the cold pattern of RA patients. Four principal components were extracted to cold pattern. The component with the highest eigenvalue (2.089) were mainly contributed by joint distension and pain, joint stiffness, fatigue and upset with high factor loading values (0.597, 0.590, 0.491 and 0.481, respectively). Although there were no statistical differences between the levels of rheumatoid factor and anti-cyclic peptide containing citrulline (anti-CCP), the levels of C-reactive protein, platelet count and the disease activity score using 28 joint counts were significantly higher in the heat pattern RA patients compared to the ones in cold pattern. Moreover, heat pattern RA patients were more likely to be prescribed two more disease-modifying anti-rheumatic drugs (DMARDS) combined with Methotrexate (MTX) (70.59% versus 49.72%; Conclusions: In conclusion, heat and cold patterns in RA patients could be classified well using cluster analysis and factor analysis. Most of RA patients with heat pattern were active and likely to be prescribed two more DMARDs combined with MTX.
Language	English
Publishing date	2023-02-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e13439
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Article ; Online: MS2-MBP-Based Affinity Purification of Nucleus- or Cytoplasm-Localized lncRNA-Protein Complexes Formed In Vivo.

Hou, Shuai / Wang, Weijie / Hao, Tian / Lei, Haixin

Methods in molecular biology (Clifton, N.J.)

2023 Volume 2666, Page(s) 231–245

Abstract: With recent emergence of huge number of long noncoding RNAs (lncRNAs), purification of lncRNA-protein (lncRNP) complexes is fundamental to understand the role of lncRNA and its biological function. However, lncRNP purification is still a daunting ... ...

Abstract	With recent emergence of huge number of long noncoding RNAs (lncRNAs), purification of lncRNA-protein (lncRNP) complexes is fundamental to understand the role of lncRNA and its biological function. However, lncRNP purification is still a daunting challenge. Here we describe a protocol to purify lncRNP formed in vivo with MS2-MBP-based affinity purification. Inducible lncRNA tagged with MS2 RNA hairpins is introduced into cells of interest, and RNP on tagged lncRNA is formed in vivo. MS2-MBP fusion protein is expressed in Escherichia coli and purified with amylose resin and HiTrap heparin column. The MS2 part of MS2-MBP fusion protein binds to the hairpins, and MBP part binds to amylose resin. We also describe a protocol to separate the nucleus and the cytoplasm so that lncRNP localized in the nucleus or cytoplasm can be individually purified. The amount of lncRNP purified is well sufficient for mass spectrometry analysis.
MeSH term(s)	RNA, Long Noncoding/metabolism ; Amylose ; Chromatography, Affinity/methods ; Indicators and Reagents ; Cell Nucleus/metabolism ; Escherichia coli/genetics ; Escherichia coli/metabolism ; Recombinant Fusion Proteins/genetics ; Maltose-Binding Proteins
Chemical Substances	RNA, Long Noncoding ; Amylose (9005-82-7) ; Indicators and Reagents ; Recombinant Fusion Proteins ; Maltose-Binding Proteins
Language	English
Publishing date	2023-05-11
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-0716-3191-1_17
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