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Article ; Online: Diagnostic Role of NT-proBNP in Patients with Cardiac Amyloidosis Involvement: A Meta-Analysis.

Zhang, Yingwei / Chaolu, Hasi

2022 Volume 119, Issue 2, Page(s) 212–222

Abstract: Background: Amyloidosis is defined as a disorder characterized by the deposition of extracellular protein material of amyloid in tissues.: Objectives: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is used to predict the cardiac amyloidosis ( ... ...

Title translation	Papel Diagnóstico do NT-proBNP em Pacientes com Comprometimento por Amiloidose Cardíaca: Uma Metanálise.
Abstract	Background: Amyloidosis is defined as a disorder characterized by the deposition of extracellular protein material of amyloid in tissues. Objectives: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is used to predict the cardiac amyloidosis (CA), but its diagnostic effect on CA involvement remains unclear, especially in terms of specificity and sensitivity. Methods: A search for literature was conducted in the Pubmed, Embase, and Cochrane library databases, and QUADAS 2 was used for quality assessment. Midas command in Stata 12.0 was used to analyze the subject indicators. Cochran's Q and I2were to test for heterogeneity, and the significant heterogeneity was set at p < 0.05 and/or I2> 50%. Spearman correlation analysis was used to evaluate the threshold effect, and the publication bias was assessed using the asymmetry test. The statistical significance was set at p < 0.05. Results: As results, 10 sets of data from 7 studies were included for analysis, showing high methodological quality and minimal confounding bias. The sensitivity and specificity of NT-proBNP in the diagnosis of cardiac involvement for patients with amyloidosis were 0.93 and 0.84, respectively. ROC curves also suggested a high diagnostic validity of NT-proBNP with an AUC of 0.95. A Fagan's nomogram plot showed probabilities for NT-proBNP positive and negative in developing CA involvement were 90% and 8%, respectively. The Deek's funnel plot suggested no significant publication bias across included studies, and the results were stable and reliable. Conclusions: NT-proBNP plays the positive role in the early diagnosis of CA involvement with high sensitivity and specificity.
MeSH term(s)	Amyloidosis/diagnosis ; Biomarkers ; Humans ; Natriuretic Peptide, Brain ; Peptide Fragments ; ROC Curve
Chemical Substances	Biomarkers ; Peptide Fragments ; pro-brain natriuretic peptide (1-76) ; Natriuretic Peptide, Brain (114471-18-0)
Language	Portuguese
Publishing date	2022-05-11
Publishing country	Brazil
Document type	Journal Article ; Meta-Analysis
ZDB-ID	730261-7
ISSN	1678-4170 ; 0066-782X
ISSN (online)	1678-4170
ISSN	0066-782X
DOI	10.36660/abc.20210486
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Article ; Online: Graph-Based Multicentroid Nonnegative Matrix Factorization.

Ma, Chuan / Zhang, Yingwei / Su, Chun-Yi

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: Nonnegative matrix factorization (NMF) is a widely recognized approach for data representation. When it comes to clustering, NMF fails to handle data points located in complex geometries, as each sample cluster is represented by a centroid. In this ... ...

Abstract	Nonnegative matrix factorization (NMF) is a widely recognized approach for data representation. When it comes to clustering, NMF fails to handle data points located in complex geometries, as each sample cluster is represented by a centroid. In this article, a novel multicentroid-based clustering method called graph-based multicentroid NMF (MCNMF) is proposed. Because the method constructs the neighborhood connection graph between data points and centroids, each data point is represented by adjacent centroids, which preserves the local geometric structure. Second, because the method constructs an undirected connected graph with centroids as nodes, in which the centroids are divided into different centroid clusters, a novel data clustering method based on MCNMF is proposed. In addition, the membership index matrix is reconstructed based on the obtained centroid clusters, which solves the problem of membership identification of the final sample. Extensive experiments conducted on synthetic datasets and real benchmark datasets illustrate the effectiveness of the proposed MCNMF method. Compared with single-centroid-based methods, the MCNMF can obtain the best experimental results.
Language	English
Publishing date	2023-11-28
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3332360
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Article ; Online: Synthesis and Properties of Polyamide 6 Random Copolymers Containing an Aromatic Imide Structure.

Zhang, Yingwei / Wang, Chunhua / Yi, Yong / Wang, Wenzhi / Yang, Jun

Polymers

2023 Volume 15, Issue 13

Abstract: In order to adjust the properties of polyamide 6 (PA6) and expand its application, a new strategy of introducing an aromatic imide structure into the PA6 chain through the random copolymerization method is reported. The diimide diacid monomer was first ... ...

Abstract	In order to adjust the properties of polyamide 6 (PA6) and expand its application, a new strategy of introducing an aromatic imide structure into the PA6 chain through the random copolymerization method is reported. The diimide diacid monomer was first synthesized by the dehydration and cyclization of pyromellitic dianhydride and 6-aminocaproic acid before it reacted with 1,6-hexamethylene diamine to form poly(amide imide) (PAI) salt, and finally synthesized PA6/PAI random copolymers containing an aromatic imide structure by the random copolymerization of ε-caprolactam and PAI salt. The introduction of an aromatic imide structural unit into the PA6 chain could have a great influence on its properties. As the content of PAI increases, the crystallinity (
Language	English
Publishing date	2023-06-25
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2527146-5
ISSN	2073-4360 ; 2073-4360
ISSN (online)	2073-4360
ISSN	2073-4360
DOI	10.3390/polym15132812
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Article ; Online: Correction: Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin.

Zhang, Yingwei / Zhang, Zeyu / Li, Chundi / Tang, Donge / Dai, Yong

Molecular omics

2023 Volume 19, Issue 4, Page(s) 362

Abstract: Correction for 'Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin' by Yingwei ... ...

Abstract	Correction for 'Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin' by Yingwei Zhang
Language	English
Publishing date	2023-05-09
Publishing country	England
Document type	Published Erratum
ISSN	2515-4184
ISSN (online)	2515-4184
DOI	10.1039/d3mo90012f
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Article ; Online: Iterative Self-Training Based Domain Adaptation for Cross-User sEMG Gesture Recognition.

Wang, Kang / Chen, Yiqiang / Zhang, Yingwei / Yang, Xiaodong / Hu, Chunyu

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

2023 Volume 31, Page(s) 2974–2987

Abstract: Surface electromyography (sEMG) based gesture recognition has received broad attention and application in rehabilitation areas for its direct and fine-grained sensing ability. sEMG signals exhibit strong user dependence properties among users with ... ...

Abstract	Surface electromyography (sEMG) based gesture recognition has received broad attention and application in rehabilitation areas for its direct and fine-grained sensing ability. sEMG signals exhibit strong user dependence properties among users with different physiology, causing the inapplicability of the recognition model on new users. Domain adaptation is the most representative method to reduce the user gap with feature decoupling to acquire motion-related features. However, the existing domain adaptation method shows awful decoupling results when handling complex time-series physiological signals. Therefore, this paper proposes an Iterative Self-Training based Domain Adaptation method (STDA) to supervise the feature decoupling process with the pseudo-label generated by self-training and to explore cross-user sEMG gesture recognition. STDA mainly consists of two parts, discrepancy-based domain adaptation (DDA) and pseudo-label iterative update (PIU). DDA aligns existing users' data and new users' unlabeled data with a Gaussian kernel-based distance constraint. PIU Iteratively continuously updates pseudo-labels to generate more accurate labelled data on new users with category balance. Detailed experiments are performed on publicly available benchmark datasets, including the NinaPro dataset (DB-1 and DB-5) and the CapgMyo dataset (DB-a, DB-b, and DB-c). Experimental results show that the proposed method achieves significant performance improvement compared with existing sEMG gesture recognition and domain adaption methods.
MeSH term(s)	Humans ; Electromyography/methods ; Gestures ; Algorithms ; Recognition, Psychology ; Attention
Language	English
Publishing date	2023-07-26
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.2023.3293334
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Zs.A 4726: Show issues

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Article ; Online: Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise.

Zeng, Bixiao / Yang, Xiaodong / Chen, Yiqiang / Yu, Hanchao / Hu, Chunyu / Zhang, Yingwei

IEEE transactions on neural networks and learning systems

2023 Volume PP

Abstract: Federated learning (FL) has been an effective way to train a machine learning model distributedly, holding local data without exchanging them. However, due to the inaccessibility of local data, FL with label noise would be more challenging. Most existing ...

Abstract	Federated learning (FL) has been an effective way to train a machine learning model distributedly, holding local data without exchanging them. However, due to the inaccessibility of local data, FL with label noise would be more challenging. Most existing methods assume only open-set or closed-set noise and correspondingly propose filtering or correction solutions, ignoring that label noise can be mixed in real-world scenarios. In this article, we propose a novel FL method to discriminate the type of noise and make the FL mixed noise-robust, named FedMIN. FedMIN employs a composite framework that captures local-global differences in multiparticipant distributions to model generalized noise patterns. By determining adaptive thresholds for identifying mixed label noise in each client and assigning appropriate weights during model aggregation, FedMIN enhances the performance of the global model. Furthermore, FedMIN incorporates a loss alignment mechanism using local and global Gaussian mixture models (GMMs) to mitigate the risk of revealing samplewise loss. Extensive experiments are conducted on several public datasets, which include the simulated FL testbeds, i.e., CIFAR-10, CIFAR-100, and SVHN, and the real-world ones, i.e., Camelyon17 and multiorgan nuclei challenge (MoNuSAC). Compared to FL benchmarks, FedMIN improves model accuracy by up to 9.9% due to its superior noise estimation capabilities.
Language	English
Publishing date	2023-08-31
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3306874
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Article ; Online: Metabolomics study reveals the alteration of fatty acid oxidation in the hearts of diabetic mice by empagliflozin.

Zhang, Yingwei / Zhang, Zeyu / Li, Chundi / Tang, Donge / Dai, Yong

Molecular omics

2022 Volume 18, Issue 7, Page(s) 643–651

Abstract: Empagliflozin (Empa, SGLT2 inhibitor) is widely used in clinical situations for the management of diabetes. It has beneficial effects in reducing cardiac dysfunction and heart failure. However, rare studies have reported the potential mechanisms of Empa ... ...

Abstract	Empagliflozin (Empa, SGLT2 inhibitor) is widely used in clinical situations for the management of diabetes. It has beneficial effects in reducing cardiac dysfunction and heart failure. However, rare studies have reported the potential mechanisms of Empa reaction. Here, we treated
MeSH term(s)	Animals ; Benzhydryl Compounds/pharmacology ; Benzhydryl Compounds/therapeutic use ; Diabetes Mellitus, Experimental/drug therapy ; Fatty Acids/metabolism ; Glucosides/pharmacology ; Mice
Chemical Substances	Benzhydryl Compounds ; Fatty Acids ; Glucosides ; empagliflozin (HDC1R2M35U)
Language	English
Publishing date	2022-08-15
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2515-4184
ISSN (online)	2515-4184
DOI	10.1039/d2mo00036a
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Article ; Online: Acute fibrinous and organizing pneumonia with myelodysplastic syndrome and pneumocystis jiroveci pneumonia: a case report.

Lin, Minjie / Zhang, Yingwei / Qiu, Yuying

Annals of palliative medicine

2021 Volume 10, Issue 7, Page(s) 8396–8402

Abstract: Acute fibrinous and organizing pneumonia (AFOP) is an unusual pathological pattern which is characterized by intra-alveolar deposition of fibrin (fibrin ball) and organizing pneumonia in a scattered distribution, and the pathological diagnosis plays an ... ...

Abstract	Acute fibrinous and organizing pneumonia (AFOP) is an unusual pathological pattern which is characterized by intra-alveolar deposition of fibrin (fibrin ball) and organizing pneumonia in a scattered distribution, and the pathological diagnosis plays an irreplaceable role in the diagnosis. Most Patients cannot confirm etiology, till now, known etiology included connective tissue disease, infection, environmental and occupational exposure, drugs, organ transplant, and tumor. It can be divided into acute and subacute subtype according to the extent of progress. The most common symptoms of AFOP were fever, cough, and dyspnea. Bilateral consolidations and ground-glass opacities (GGO) usually can be seen on chest CT images. At present, the treatment protocol for AFOP has not reached a consensus Glucocorticoid, immunosuppressants, stem cell transplantation or lung transplantation may contribute to improved clinical outcome. Here, we report a case of AFOP with myelodysplastic syndrome and pneumocystis jiroveci pneumonia (PJP). After treatments of glucocorticoid, immunosuppressant, chemotherapy, antibiotics and blood transfusion, the patient's clinical symptoms, peripheral blood test, and imaging findings were obviously improved. In this case, we consider the AFOP was caused by MDS and the immunodeficiency after chemotherapy lead to secondary PJP. This typical case highlights the importance of appropriate therapy for coexisted diseases of those patients with refractory AFOP.
MeSH term(s)	Cough ; Glucocorticoids ; Humans ; Myelodysplastic Syndromes/complications ; Pneumocystis carinii ; Pneumonia
Chemical Substances	Glucocorticoids
Language	English
Publishing date	2021-04-15
Publishing country	China
Document type	Case Reports
ZDB-ID	2828544-X
ISSN	2224-5839 ; 2224-5839
ISSN (online)	2224-5839
ISSN	2224-5839
DOI	10.21037/apm-20-2344
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Article ; Online: A cascade signal-amplified fluorescent biosensor combining APE1 enzyme cleavage-assisted target cycling with rolling circle amplification.

Liu, Zirui / Yang, Hongqun / Zhang, Beibei / Li, Xinhao / Wang, Hong / Zhang, Yingwei

The Analyst

2023 Volume 149, Issue 1, Page(s) 82–87

Abstract: A cascade signal-amplified fluorescent biosensor was developed for miRNA-21 detection by combining APE1 enzyme-assisted target recycling and rolling circle amplification strategy. A key feature of this biosensor is its dual-trigger mechanism, utilizing ... ...

Abstract	A cascade signal-amplified fluorescent biosensor was developed for miRNA-21 detection by combining APE1 enzyme-assisted target recycling and rolling circle amplification strategy. A key feature of this biosensor is its dual-trigger mechanism, utilizing both tumor-endogenous miRNA-21 and the APE1 enzyme in the initial amplification step, followed by a second rolling circle amplification reaction. This dual signal amplification cascade significantly enhanced sensitivity, achieving a detection limit of 3.33 pM. Furthermore, this biosensor exhibited excellent specificity and resistance to interference, allowing it to effectively distinguish and detect the target miRNA-21 in the presence of multiple interfering miRNAs. Moreover, the biosensor maintained its robust detection capabilities in a 10% serum environment, demonstrating its potential for clinical disease diagnosis applications.
MeSH term(s)	MicroRNAs/genetics ; Coloring Agents ; Biosensing Techniques ; Nucleic Acid Amplification Techniques ; Limit of Detection
Chemical Substances	MicroRNAs ; Coloring Agents
Language	English
Publishing date	2023-12-18
Publishing country	England
Document type	Journal Article
ZDB-ID	210747-8
ISSN	1364-5528 ; 0003-2654
ISSN (online)	1364-5528
ISSN	0003-2654
DOI	10.1039/d3an01727c
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Zs.A 2423: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Development of a regenerable dual-trigger tripedal DNA walker electrochemical biosensor for sensitive detection of microRNA-155.

Meng, Jinting / Xu, Zihao / Zheng, Shasha / Yang, Hongqun / Wang, Tianfu / Wang, Hong / Zhang, Yingwei

Analytica chimica acta

2023 Volume 1285, Page(s) 342026

Abstract: Since microRNAs (miRNAs) are valuable biomarkers for disease diagnosis and prognosis, the pursuit of enhanced detection sensitivity through signal amplification strategies has emerged as a prominent focus in low-abundance miRNA detection research. DNA ... ...

Abstract	Since microRNAs (miRNAs) are valuable biomarkers for disease diagnosis and prognosis, the pursuit of enhanced detection sensitivity through signal amplification strategies has emerged as a prominent focus in low-abundance miRNA detection research. DNA walkers, as dynamic DNA nanodevice, have gained significant attention for their applications as signal amplification strategies. To overcome the limitations of unipedal DNA walkers with a restricted signal amplification efficiency, there is a great need for multi-pedal DNA walkers that offer improved walking and signal amplification capabilities. Here, we employed a combination of catalytic hairpin assembly (CHA) and APE1 enzymatic cleavage reactions to construct a tripedal DNA walker, driving its movement to establish a cascade signal amplification system for the electrochemical detection of miRNA-155. The biosensor utilizes tumor cell-endogenous microRNA-155 and APE1 as dual-trigger for DNA walker formation and walking movement, leading to highly efficient and controllable signal amplification. The biosensor exhibited high sensitivity, with a low detection limit of 10 pM for microRNA-155, and successfully differentiated and selectively detected microRNA-155 from other interfering RNAs. Successful detection in 20 % serum samples indicates its potential clinical application. In addition, we harnessed strand displacement reactions to create a gentle yet efficient electrode regeneration strategy, to addresses the time-consuming challenges during electrode modification processes. We have successfully demonstrated the stability of current signals even after multiple cycles of electrode regeneration. This study showcased the high-efficiency amplification potential of multi-pedal DNA walkers and the effectiveness and versatility of strand displacement in biosensing applications. It opens a promising path for developing regenerable electrochemical biosensors. This regenerable strategy for electrochemical biosensors is both label-free and cost-effective, and holds promise for detecting various disease-related RNA targets beyond its current application.
MeSH term(s)	Electrochemical Techniques ; Nucleic Acid Amplification Techniques ; DNA/genetics ; MicroRNAs/genetics ; Biosensing Techniques ; Limit of Detection
Chemical Substances	DNA (9007-49-2) ; MicroRNAs
Language	English
Publishing date	2023-11-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1483436-4
ISSN	1873-4324 ; 0003-2670
ISSN (online)	1873-4324
ISSN	0003-2670
DOI	10.1016/j.aca.2023.342026
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