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Article ; Online: Genetically Determined Rheumatoid Arthritis May Not Affect Heart Failure: Insights from Mendelian Randomization Study.

Lin, Xueqi / Zhou, Miaomiao / Zhang, Chunsheng / Li, Jiming

2023 Volume 18, Issue 1, Page(s) 43

Abstract: Background: Evidence from observational epidemiological studies indicated that rheumatoid arthritis (RA) increased the risk of heart failure (HF). However, there is a possibility that the correlation is not explained as a causative role for RA in the ... ...

Abstract	Background: Evidence from observational epidemiological studies indicated that rheumatoid arthritis (RA) increased the risk of heart failure (HF). However, there is a possibility that the correlation is not explained as a causative role for RA in the pathogenesis of HF. A two-sample Mendelian randomization (MR) framework was designed to explore the potential etiological role of RA in HF to identify the target to improve the burden of HF disease. Methods: To assess the causal association between RA and HF, we analyzed summary statistics from genome-wide association studies (GWASs) for individuals of European descent. Genetic instruments for RA were identified at a genome-wide significance threshold (p < 5 × 10 Results: There was no evidence of a causal association between genetically predicted RA and HF [odds ratio (OR), 1.00; 95% confidence interval (CI), 0.99-1.02; Conclusion: Our findings did not support the causal role of RA in the etiology of HF. As such, therapeutics targeted at the control of RA may have a lower likelihood of effectively controlling the occurrence of HF.
MeSH term(s)	Humans ; Arthritis, Rheumatoid/epidemiology ; Arthritis, Rheumatoid/genetics ; Genome-Wide Association Study ; Heart Diseases ; Heart Failure/etiology ; Heart Failure/genetics ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide
Language	English
Publishing date	2023-08-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2629633-0
ISSN	2211-8179 ; 2211-8160
ISSN (online)	2211-8179
ISSN	2211-8160
DOI	10.5334/gh.1256
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Article ; Online: Autoimmune glial fibrillary acidic protein astrocytopathy: clinical analysis and review of 15 cases.

Lan, Wei / Li, Jiming / Ai, Peiying / Luo, Weiliang

Acta neurologica Belgica

2023 Volume 123, Issue 4, Page(s) 1465–1479

Abstract: Background: To review clinical characteristics, auxiliary examination results, treatment effects, and outcomes of patients with autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A).: Methods: We collated and retrospectively analyzed ... ...

Abstract	Background: To review clinical characteristics, auxiliary examination results, treatment effects, and outcomes of patients with autoimmune glial fibrillary acidic protein astrocytopathy (GFAP-A). Methods: We collated and retrospectively analyzed clinical data of 15 patients admitted with clinical characteristics of an autoimmune GFAP-A acute encephalitis or meningitis phenotype. Results: All patients were diagnosed with acute-onset meningoencephalitis and meningoencephalomyelitis. Initial presentations included pyrexia and headache at onset; dual symptoms of prominent tremor with urinary and bowel dysfunction; ataxia, psychiatric and behavioral abnormalities, and impaired consciousness; neck resistance; reduced extremity muscle strength; blurred vision; epileptic seizures; and reduced basic blood pressure. Cerebrospinal fluid (CSF) examination showed that the degree of protein elevation was significantly higher than the degree of increase in white blood cells. Moreover, in the absence of obvious low chloride and glucose levels, CSF chloride levels decreased in 13 patients, accompanied by a CSF glucose level decrease in four. Brain abnormalities were found in magnetic resonance imaging of ten patients, with a linear radial perivascular enhancement present in the lateral ventricles of two patients and symmetric abnormalities in the splenium of the corpus callosum in three patients. Conclusions: Autoimmune GFAP-A may be a spectrum disorder, with acute- or subacute-onset meningitis, encephalitis, and myelitis being the main phenotypes. When used for acute stage treatment, combined hormone and immunoglobulin therapy was superior to hormone pulse therapy or immunoglobulin pulse therapy alone. However, hormone pulse therapy alone without immunoglobulin pulse therapy was associated with a greater number of remaining neurological deficits.
MeSH term(s)	Humans ; Autoimmune Diseases of the Nervous System ; Glial Fibrillary Acidic Protein ; Retrospective Studies ; Chlorides/therapeutic use ; Encephalitis ; Meningitis ; Immunoglobulins/therapeutic use ; Glucose/therapeutic use ; Autoantibodies/metabolism
Chemical Substances	Glial Fibrillary Acidic Protein ; Chlorides ; Immunoglobulins ; Glucose (IY9XDZ35W2) ; Autoantibodies
Language	English
Publishing date	2023-04-20
Publishing country	Italy
Document type	Journal Article
ZDB-ID	127315-2
ISSN	2240-2993 ; 0300-9009
ISSN (online)	2240-2993
ISSN	0300-9009
DOI	10.1007/s13760-023-02268-0
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Article ; Online: Upper Limb Movement Decoding Scheme Based on Surface Electromyography Using Attention-Based Kalman Filter Scheme.

Zhang, Anyuan / Li, Qi / Li, Zhenlan / Li, Jiming

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume 31, Page(s) 1878–1887

Abstract: Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system, ... ...

Abstract	Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system, resulting in unsatisfactory decoding accuracy. To address these issues, we propose an attention-based Kalman filter scheme (AKFS), which uses an attention-based CNN model to better extract temporal information and a KF to add prior knowledge of the system. We further solve the problem of insufficient data due to the short training time of new subjects by using a transfer learning method based on a fine-tuning strategy. The proposed scheme was tested in four scenarios: intra-session, intra-session long-time use, inter-subject, and inter-subject with a fine-tuning strategy. The proposed attention-based CNN model outperformed the vanilla CNN model and a hybrid CNN-long short-term memory (LSTM) model in intra-session and intra-session long-time use. After fine-tuning with a small amount of data on a new subject, the attention-based CNN model achieved higher decoding accuracy than the vanilla CNN model and lower response time than CNN-LSTM model. Furthermore, the schemes with KF outperformed the schemes without KF in all scenarios. Our proposed scheme improves the decoding accuracy of the traditional CNN model for a single subject by better capturing the temporal information of the surface electromyography signal and increasing the prior knowledge of the system. Additionally, the proposed scheme can be easily transferred to a new subject using only a small amount of data.
MeSH term(s)	Humans ; Electromyography/methods ; Neural Networks, Computer ; Movement/physiology ; Upper Extremity
Language	English
Publishing date	2023-04-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3262269
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Article ; Online: Reappraising the role of chronic inflammatory burden in heart failure.

Lin, Xueqi / Song, Wei / Zhang, Chunsheng / Zhou, Miaomiao / Li, Jiming

The journal of gene medicine

2023 Volume 25, Issue 8, Page(s) e3519

Abstract: Background: Heart failure (HF) is a clinical syndrome associated with poor quality of life, substantial utilization of health care resources, and premature mortality. It is now considered to be the most urgent unmet medical need in the field of ... ...

Abstract	Background: Heart failure (HF) is a clinical syndrome associated with poor quality of life, substantial utilization of health care resources, and premature mortality. It is now considered to be the most urgent unmet medical need in the field of cardiovascular disease. Accumulated evidence suggested that comorbidity-driven inflammation has emerged as a critical component of HF pathogenesis. Although anti-inflammatory therapies have increased in popularity, very few effective treatments are still available. A comprehensive understanding of the interplay between chronic inflammation and its impact on HF will facilitate the identification of future therapeutic targets. Methods: A two-sample Mendelian randomization study was conducted to assess the association between genetic liability for chronic inflammation and HF. By analyzing functional annotations and enrichment data, we were able to identify common pathophysiological mechanisms. Results: The present study did not provide evidence for chronic inflammation as the cause of HF and the reliability of the results was enhanced by the other three Mendelian randomization analysis methods. Functional annotations of genes and pathway enrichment analyses have indicated that chronic inflammation and HF share a common pathophysiology. Conclusions: The associations between chronic inflammation and cardiovascular disease from observational studies may be explained by shared risk factors and comorbidities rather than direct effects.
MeSH term(s)	Humans ; Cardiovascular Diseases/complications ; Quality of Life ; Reproducibility of Results ; Heart Failure/epidemiology ; Heart Failure/genetics ; Inflammation/genetics ; Inflammation/drug therapy
Language	English
Publishing date	2023-05-21
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1458024-x
ISSN	1521-2254 ; 1099-498X
ISSN (online)	1521-2254
ISSN	1099-498X
DOI	10.1002/jgm.3519
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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Sensor Fault Diagnosis Method Based on

Cheng, Xuezhen / Wang, Dafei / Xu, Chuannuo / Li, Jiming

Computational intelligence and neuroscience

2021 Volume 2021, Page(s) 1956394

Abstract: Aimed to address the low diagnostic accuracy caused by the similar data distribution of sensor partial faults, a sensor fault diagnosis method is proposed on the basis ... ...

Abstract	Aimed to address the low diagnostic accuracy caused by the similar data distribution of sensor partial faults, a sensor fault diagnosis method is proposed on the basis of
Language	English
Publishing date	2021-09-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5265
ISSN (online)	1687-5273
ISSN	1687-5265
DOI	10.1155/2021/1956394
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Article: Comparative mitogenomes provide new insights into phylogeny and taxonomy of the subfamily

Zhang, Zhi / Li, Jiming / Zhang, Xiaodong / Lin, Bingming / Chen, Jianming

Frontiers in genetics

2022 Volume 13, Page(s) 966633

Abstract: ... ...

Abstract	Xenocyprinae
Language	English
Publishing date	2022-10-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606823-0
ISSN	1664-8021
ISSN	1664-8021
DOI	10.3389/fgene.2022.966633
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Article: LEACH Protocol Optimization Based on Weighting Strategy and the Improved Ant Colony Algorithm.

Cheng, Xuezhen / Xu, Chuannuo / Liu, Xiaoqing / Li, Jiming / Zhang, Junming

Frontiers in neurorobotics

2022 Volume 16, Page(s) 840332

Abstract: This article aims to address problems in the current clustering process of low-energy adaptive clustering hierarchy (LEACH) in the wireless sensor networks, such as strong randomness and local optimum in the path optimization. This article proposes an ... ...

Abstract	This article aims to address problems in the current clustering process of low-energy adaptive clustering hierarchy (LEACH) in the wireless sensor networks, such as strong randomness and local optimum in the path optimization. This article proposes an optimal combined weighting (OCW) and improved ant colony optimization (IACO) algorithm for the LEACH protocol optimization. First, cluster head nodes are updated
Language	English
Publishing date	2022-03-18
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2453002-5
ISSN	1662-5218
ISSN	1662-5218
DOI	10.3389/fnbot.2022.840332
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Article ; Online: Effects of Childhood Maltreatment on Self-Compassion: A Systematic Review and Meta-Analysis.

Zhang, Huiping / Li, Jiming / Sun, Bingyi / Wei, Qingong

Trauma, violence & abuse

2021 Volume 24, Issue 2, Page(s) 873–885

Abstract: Background: This systematic review aims to estimate the extent to which childhood maltreatment influences self-compassion in later life.: Method: Four English databases (Web of Science, PsycINFO, PubMed, and PsycARTICLES) and three Chinese databases ( ...

Abstract	Background: This systematic review aims to estimate the extent to which childhood maltreatment influences self-compassion in later life. Method: Four English databases (Web of Science, PsycINFO, PubMed, and PsycARTICLES) and three Chinese databases (China National Knowledge Infrastructure, Wanfang, and Weipu) were systematically searched. We extracted data related to the associations between child maltreatment and self-compassion and pooled them using random effect models. Findings: A total of 20 eligible studies were included involving 6,877 participants in the analyses. Overall child maltreatment was negatively related to self-compassion ( Conclusion: The results indicate that overall and subtypes of maltreatment are associated with decreased self-compassion, and child intervention programs focused on self-compassion should be designed to protect the well-being of individuals with a history of childhood maltreatment.
MeSH term(s)	Child ; Humans ; Adult Survivors of Child Abuse/psychology ; Child Abuse/psychology ; China ; Physical Abuse ; Self-Compassion
Language	English
Publishing date	2021-09-13
Publishing country	United States
Document type	Journal Article ; Meta-Analysis ; Systematic Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2070884-1
ISSN	1552-8324 ; 1524-8380
ISSN (online)	1552-8324
ISSN	1524-8380
DOI	10.1177/15248380211043825
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Article ; Online: Removal of Dust Microelectric Signal Based on Empirical Mode Decomposition and Multifractal Detrended Fluctuation Analysis.

Li, Jiming / Sun, Yongji / Cheng, Xuezhen

Computational intelligence and neuroscience

2021 Volume 2021, Page(s) 5468514

Abstract: Microcharge induction has recently been applied as a dust detection method. However, in complex environments, the detection device can be seriously polluted by noise. To improve the quality of the measured signal, the characteristics of both the signal ... ...

Abstract	Microcharge induction has recently been applied as a dust detection method. However, in complex environments, the detection device can be seriously polluted by noise. To improve the quality of the measured signal, the characteristics of both the signal and the noise should be analyzed so as to determine an effective noise removal method. Traditional removal methods mostly deal with specific noise signals, and it is difficult to consider the correlation of measured signals between adjacent time periods. To overcome this shortcoming, we describe a method in which wavelet decomposition is applied to the measured signal to obtain sub-band components in different frequency ranges. A time-lapse Pearson method is then used to analyze the correlation of the sub-band components and the noise signal. This allows the sub-band component of the measurement signal that has the strongest correlation with the noise to be determined. Based on multifractal detrended fluctuation analysis combined with empirical mode decomposition, the similarity between the signal sub-band components and the noise sub-band components is analyzed and three indices are employed to determine the multifractal characteristics of the sub-band components. The consistency between noise components and signal components is obtained and the main signal components are verified. Finally, the sub-band components are used to reconstruct the signal, giving the noise-free measured (microcharge induction) signal. The filtered signal presents smoother, multifractal features.
MeSH term(s)	Dust ; Signal Processing, Computer-Assisted
Chemical Substances	Dust
Language	English
Publishing date	2021-08-06
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2021/5468514
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Article ; Online: Chinese stroke patients with atrial fibrillation used Robert's age-adjusted warfarin loading protocol obtained good INR results within therapeutic range.

Luo, Weiliang / Luo, Xuanwen / Chen, Suqin / Li, Jiming / Huang, Xiaodong / Rao, Yu / Xu, Wengsheng

Scientific reports

2023 Volume 13, Issue 1, Page(s) 18230

Abstract: To assess whether Roberts' age-adjusted warfarin loading protocol is effective in Chinese patients and whether the SAMeTT2R2 score can predict international normalized ratio (INR) control. Roberts' protocol for warfarin titration was applied to patients ... ...

Abstract	To assess whether Roberts' age-adjusted warfarin loading protocol is effective in Chinese patients and whether the SAMeTT2R2 score can predict international normalized ratio (INR) control. Roberts' protocol for warfarin titration was applied to patients with non-valvular atrial fibrillation (NVAF) complicated with ischemic stroke at the Department of Neurology between 2014 and 2019. Clinical and sociodemographic variables were recorded. A minimum of 1-year follow-up was used to calculate the time in therapeutic range (TTR) of the INR. A total of 94 acute ischemic stroke patients with NVAF were included in the study. Seventy-seven (81.9%) of the patients had attained stable INR (2.0-3.0) at the fifth dose, and 90.0% of the patients had achieved stable INR on the ninth day. Seventeen (18.1%) of the patients had an INR > 4 during dose-adjustment period. Patients with INR > 4 had significantly lower body weight (53.8 vs. 63.1 kg, P = 0.014), lower rate of achievement of stable INR (35.3% vs. 92.2%, P = 0.000), and lower rate of TTR ≥ 65% (23.5% vs. 70.1%, P = 0.001), but with no significant increase in bleeding risk. A total of 89 patients underwent long-term INR follow-up, of which 58 (65.2%) patients achieved TTR ≥ 65%. Patients with poor TTR had significantly lower body weight (56.3 vs. 63.7 kg, P = 0.020) and lower rate of stable INR achievement (64.5% vs. 89.7%, P = 0.002). All 94 patients had SAMeTT2R2 score ≥ 2. There was no linear association between SAMeTT2R2 score and the rate of TTR ≥ 65% (P
MeSH term(s)	Humans ; Warfarin/therapeutic use ; Atrial Fibrillation/complications ; Atrial Fibrillation/drug therapy ; Atrial Fibrillation/chemically induced ; International Normalized Ratio ; Anticoagulants/therapeutic use ; Ischemic Stroke/drug therapy ; East Asian People ; Treatment Outcome ; Retrospective Studies ; Stroke/etiology ; Stroke/complications ; Body Weight
Chemical Substances	Warfarin (5Q7ZVV76EI) ; Anticoagulants
Language	English
Publishing date	2023-10-25
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-45379-7
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