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Article ; Online: Emerging role of complement in COVID-19 and other respiratory virus diseases.

Xiao, Mark T / Ellsworth, Calder R / Qin, Xuebin

Cellular and molecular life sciences : CMLS

2024 Volume 81, Issue 1, Page(s) 94

Abstract: The complement system, a key component of innate immunity, provides the first line of defense against bacterial infection; however, the COVID-19 pandemic has revealed that it may also engender severe complications in the context of viral respiratory ... ...

Abstract	The complement system, a key component of innate immunity, provides the first line of defense against bacterial infection; however, the COVID-19 pandemic has revealed that it may also engender severe complications in the context of viral respiratory disease. Here, we review the mechanisms of complement activation and regulation and explore their roles in both protecting against infection and exacerbating disease. We discuss emerging evidence related to complement-targeted therapeutics in COVID-19 and compare the role of the complement in other respiratory viral diseases like influenza and respiratory syncytial virus. We review recent mechanistic studies and animal models that can be used for further investigation. Novel knockout studies are proposed to better understand the nuances of the activation of the complement system in respiratory viral diseases.
MeSH term(s)	Animals ; Humans ; COVID-19 ; Pandemics ; Complement System Proteins ; Influenza, Human ; Respiratory Syncytial Virus, Human
Chemical Substances	Complement System Proteins (9007-36-7)
Language	English
Publishing date	2024-02-18
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	1358415-7
ISSN	1420-9071 ; 1420-682X
ISSN (online)	1420-9071
ISSN	1420-682X
DOI	10.1007/s00018-024-05157-8
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Article ; Online: A design and implementation of multi-character classification scheme based on motor imagery EEG signals.

Pan, Hongguang / Zhang, Yibo / Li, Li / Qin, Xuebin

Neuroscience

2023 Volume 538, Page(s) 22–29

Abstract: In the field of brain-to-text communication, it is difficult to finish highly dexterous behaviors of writing multi-character by motor-imagery-based brain-computer interface (MI-BCI), setting a barrier to restore communication in people who have lost the ... ...

Abstract	In the field of brain-to-text communication, it is difficult to finish highly dexterous behaviors of writing multi-character by motor-imagery-based brain-computer interface (MI-BCI), setting a barrier to restore communication in people who have lost the ability to move and speak. In this paper, we design and implement a multi-character classification scheme based on 29 characters of motor imagery (MI) electroencephalogram (EEG) signals, which contains 26 English letters and 3 punctuation marks. Firstly, we design a novel experimental paradigm to increase the variety of BCI inputs by asking subjects to imagine the movement of writing 29 characters instead of gross motor skills such as reaching or grasping. Secondly, because of the high dimension of EEG signals, we adopt power spectral density (PSD), principal components analysis (PCA), kernel principal components analysis (KPCA) respectively to decompose EEG signals and extract feature, and then test the results with pearson product-moment correlation coefficient (PCCs). Thirdly, we respectively employ k-nearest neighbor (kNN), support vector machine (SVM), extreme learning machine (ELM) and light gradient boosting machine (LightGBM) to classify 29 characters and compare the results. We have implemented a complete scheme, including paradigm design, signal acquisition, feature extraction and classification, which can effectively classify 29 characters. The experimental results show that the KPCA has the best feature extraction effect and the kNN has the highest classification accuracy, with the final classification accuracy reaching 96.2%, which is better than other studies.
MeSH term(s)	Humans ; Electroencephalography/methods ; Imagery, Psychotherapy ; Movement ; Brain-Computer Interfaces ; Brain ; Algorithms ; Imagination
Language	English
Publishing date	2023-12-10
Publishing country	United States
Document type	Journal Article
ZDB-ID	196739-3
ISSN	1873-7544 ; 0306-4522
ISSN (online)	1873-7544
ISSN	0306-4522
DOI	10.1016/j.neuroscience.2023.12.001
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Article ; Online: Cell-intrinsic and -extrinsic effects of SARS-CoV-2 RNA on pathogenesis: single-cell meta-analysis.

Khatun, Mst Shamima / Remcho, T Parks / Qin, Xuebin / Kolls, Jay K

mSphere

2023 Volume 8, Issue 5, Page(s) e0037523

Abstract: Single-cell RNA-seq has been used to characterize human COVID-19. To determine if preclinical models successfully mimic the cell-intrinsic and -extrinsic effects of severe disease, we conducted a meta-analysis of single-cell data across five model ... ...

Abstract	Single-cell RNA-seq has been used to characterize human COVID-19. To determine if preclinical models successfully mimic the cell-intrinsic and -extrinsic effects of severe disease, we conducted a meta-analysis of single-cell data across five model species. To assess whether dissemination of viral RNA in lung cells tracks pathology and results in cell-intrinsic and -extrinsic transcriptomic changes in COVID-19. We conducted a meta-analysis by analyzing six publicly available, scRNA-seq data sets. We used dual mapping (host and virus) and differential gene expression analyses to compare viral
MeSH term(s)	Cricetinae ; Humans ; Animals ; Mice ; RNA, Viral/genetics ; SARS-CoV-2/genetics ; Endothelial Cells ; Ferrets ; Interleukin-18 ; Macaca mulatta ; COVID-19
Chemical Substances	RNA, Viral ; K-18 conjugate ; Interleukin-18
Language	English
Publishing date	2023-09-22
Publishing country	United States
Document type	Meta-Analysis ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ISSN	2379-5042
ISSN (online)	2379-5042
DOI	10.1128/msphere.00375-23
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Book ; Online: DC-Net

Zhu, Jiayi / Qin, Xuebin / Elsaddik, Abdulmotaleb

Divide-and-Conquer for Salient Object Detection

2023

Abstract: In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map. We design a novel network, Divide-and-Conquer Network (DC-Net) which uses ... ...

Abstract	In this paper, we introduce Divide-and-Conquer into the salient object detection (SOD) task to enable the model to learn prior knowledge that is for predicting the saliency map. We design a novel network, Divide-and-Conquer Network (DC-Net) which uses two encoders to solve different subtasks that are conducive to predicting the final saliency map, here is to predict the edge maps with width 4 and location maps of salient objects and then aggregate the feature maps with different semantic information into the decoder to predict the final saliency map. The decoder of DC-Net consists of our newly designed two-level Residual nested-ASPP (ResASPP$^{2}$) modules, which have the ability to capture a large number of different scale features with a small number of convolution operations and have the advantages of maintaining high resolution all the time and being able to obtain a large and compact effective receptive field (ERF). Based on the advantage of Divide-and-Conquer's parallel computing, we use Parallel Acceleration to speed up DC-Net, allowing it to achieve competitive performance on six LR-SOD and five HR-SOD datasets under high efficiency (60 FPS and 55 FPS). Codes and results are available: https://github.com/PiggyJerry/DC-Net.
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-05-24
Publishing country	us
Document type	Book ; Online
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Article ; Online: SARS-CoV2 Endotheliopathy: Insights from Single Cell RNAseq.

Khatun, Mst Shamima / Qin, Xuebin / Pociask, Derek A / Kolls, Jay K

American journal of respiratory and critical care medicine

2022 Volume 206, Issue 9, Page(s) 1178–1179

MeSH term(s)	Humans ; SARS-CoV-2 ; RNA, Viral ; COVID-19 ; Antiviral Agents
Chemical Substances	RNA, Viral ; Antiviral Agents
Language	English
Publishing date	2022-07-10
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	1180953-x
ISSN	1535-4970 ; 0003-0805 ; 1073-449X
ISSN (online)	1535-4970
ISSN	0003-0805 ; 1073-449X
DOI	10.1164/rccm.202206-1105LE
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Article: The LightGBM-based classification algorithm for Chinese characters speech imagery BCI system.

Pan, Hongguang / Li, Zhuoyi / Tian, Chen / Wang, Li / Fu, Yunpeng / Qin, Xuebin / Liu, Fei

Cognitive neurodynamics

2022 Volume 17, Issue 2, Page(s) 373–384

Abstract: Brain-computer interface (BCI) can obtain text information by decoding language induced electroencephalogram (EEG) signals, so as to restore communication ability for patients with language impairment. At present, the BCI system based on speech imagery ... ...

Abstract	Brain-computer interface (BCI) can obtain text information by decoding language induced electroencephalogram (EEG) signals, so as to restore communication ability for patients with language impairment. At present, the BCI system based on speech imagery of Chinese characters has the problem of low accuracy of features classification. In this paper, the light gradient boosting machine (LightGBM) is adopted to recognize Chinese characters and solve the above problems. Firstly, the Db4 wavelet basis function is selected to decompose the EEG signals in six-layer of full frequency band, and the correlation features of Chinese characters speech imagery with high time resolution and high frequency resolution are extracted. Secondly, the two core algorithms of LightGBM, gradient-based one-side sampling and exclusive feature bundling, are used to classify the extracted features. Finally, we verify that classification performance of LightGBM is more accurate and applicable than the traditional classifiers according to the statistical analysis methods. We evaluate the proposed method through contrast experiment. The experimental results show that the average classification accuracy of the subjects' silent reading of Chinese characters "(left)", "(one)" and simultaneous silent reading is improved by 5.24%, 4.90% and 12.44% respectively.
Language	English
Publishing date	2022-06-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2276890-7
ISSN	1871-4099 ; 1871-4080
ISSN (online)	1871-4099
ISSN	1871-4080
DOI	10.1007/s11571-022-09819-w
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Article ; Online: Deficiency of Caspase-1 Attenuates HIV-1-Associated Atherogenesis in Mice.

Alam, Mohammad Afaque / Caocci, Maurizio / Ren, Mi / Chen, Zheng / Liu, Fengming / Khatun, Mst Shamima / Kolls, Jay K / Qin, Xuebin / Burdo, Tricia H

International journal of molecular sciences

2023 Volume 24, Issue 16

Abstract: Within arterial plaque, HIV infection creates a state of inflammation and immune activation, triggering NLRP3/caspase-1 inflammasome, tissue damage, and monocyte/macrophage infiltration. Previously, we documented that caspase-1 activation in myeloid ... ...

Abstract	Within arterial plaque, HIV infection creates a state of inflammation and immune activation, triggering NLRP3/caspase-1 inflammasome, tissue damage, and monocyte/macrophage infiltration. Previously, we documented that caspase-1 activation in myeloid cells was linked with HIV-associated atherosclerosis in mice and people with HIV. Here, we mechanistically examined the direct effect of caspase-1 on HIV-associated atherosclerosis. Caspase-1-deficient (
MeSH term(s)	Animals ; Mice ; Apolipoproteins E/genetics ; Atherosclerosis/genetics ; Caspase 1/genetics ; HIV Infections/complications ; HIV Infections/genetics ; HIV-1 ; Plaque, Atherosclerotic/genetics
Chemical Substances	Apolipoproteins E ; Caspase 1 (EC 3.4.22.36) ; Casp1 protein, mouse (EC 3.4.22.36)
Language	English
Publishing date	2023-08-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2019364-6
ISSN	1422-0067 ; 1422-0067 ; 1661-6596
ISSN (online)	1422-0067
ISSN	1422-0067 ; 1661-6596
DOI	10.3390/ijms241612871
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Article ; Online: Generation of

Saxena, Vijay / Arregui, Samuel / Zhang, Shaobo / Canas, Jorge / Qin, Xuebin / Hains, David S / Schwaderer, Andrew L

American journal of physiology. Renal physiology

2023 Volume 325, Issue 6, Page(s) F770–F778

Abstract: Kidney intercalated cells (ICs) maintain acid-base homeostasis and recent studies have demonstrated that they function in the kidney's innate defense. To study kidney innate immune function, ICs have been enriched using vacuolar ATPase (V-ATPase) B1 ... ...

Abstract	Kidney intercalated cells (ICs) maintain acid-base homeostasis and recent studies have demonstrated that they function in the kidney's innate defense. To study kidney innate immune function, ICs have been enriched using vacuolar ATPase (V-ATPase) B1 subunit (
MeSH term(s)	Mice ; Humans ; Animals ; Kidney/metabolism ; Integrases/genetics ; Integrases/metabolism ; Acidosis, Renal Tubular/genetics ; Vacuolar Proton-Translocating ATPases/genetics ; Vacuolar Proton-Translocating ATPases/metabolism ; Kidney Tubules, Collecting/metabolism
Chemical Substances	Cre recombinase (EC 2.7.7.-) ; Integrases (EC 2.7.7.-) ; Vacuolar Proton-Translocating ATPases (EC 3.6.1.-) ; Atp6v1b1 protein, mouse (EC 3.6.1.-)
Language	English
Publishing date	2023-10-12
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	603837-2
ISSN	1522-1466 ; 0363-6127
ISSN (online)	1522-1466
ISSN	0363-6127
DOI	10.1152/ajprenal.00137.2023
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Article ; Online: Natural Killer Cells Do Not Attenuate a Mouse-Adapted SARS-CoV-2-Induced Disease in

Ellsworth, Calder R / Wang, Chenxiao / Katz, Alexis R / Chen, Zheng / Islamuddin, Mohammad / Yang, Haoran / Scheuermann, Sarah E / Goff, Kelly A / Maness, Nicholas J / Blair, Robert V / Kolls, Jay K / Qin, Xuebin

Viruses

2024 Volume 16, Issue 4

Abstract: This study investigates the roles of T, B, and Natural Killer (NK) cells in the pathogenesis of severe COVID-19, utilizing mouse-adapted SARS-CoV-2-MA30 (MA30). To evaluate this MA30 mouse model, we characterized MA30-infected C57BL/6 mice (B6) and ... ...

Abstract	This study investigates the roles of T, B, and Natural Killer (NK) cells in the pathogenesis of severe COVID-19, utilizing mouse-adapted SARS-CoV-2-MA30 (MA30). To evaluate this MA30 mouse model, we characterized MA30-infected C57BL/6 mice (B6) and compared them with SARS-CoV-2-WA1 (an original SARS-CoV-2 strain) infected K18-human ACE2 (
MeSH term(s)	Animals ; Killer Cells, Natural/immunology ; COVID-19/immunology ; COVID-19/virology ; Mice ; SARS-CoV-2/immunology ; SARS-CoV-2/pathogenicity ; Disease Models, Animal ; Mice, Inbred C57BL ; DNA-Binding Proteins/genetics ; DNA-Binding Proteins/deficiency ; Mice, Knockout ; Humans ; Lung/pathology ; Lung/virology ; Lung/immunology ; Angiotensin-Converting Enzyme 2/genetics ; Angiotensin-Converting Enzyme 2/metabolism ; B-Lymphocytes/immunology ; Female ; T-Lymphocytes/immunology
Chemical Substances	Rag2 protein, mouse ; DNA-Binding Proteins ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
Language	English
Publishing date	2024-04-15
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
ZDB-ID	2516098-9
ISSN	1999-4915 ; 1999-4915
ISSN (online)	1999-4915
ISSN	1999-4915
DOI	10.3390/v16040611
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Article ; Online: Activation of the Aryl Hydrocarbon Receptor Ameliorates Acute Rejection of Rat Liver Transplantation by Regulating Treg Proliferation and PD-1 Expression.

Cao, Wanyue / Lu, Jing / Li, Lei / Qiu, Chen / Qin, Xuebin / Wang, Tao / Li, Shanbao / Zhang, Jinyan / Xu, Junming

Transplantation

2022 Volume 106, Issue 11, Page(s) 2172–2181

Abstract: Background: Aryl hydrocarbon receptor (AhR) plays important roles in modulating immune responses. However, the role of AhR in rat liver transplantation (LT) has not been explored.: Methods: Safety and side effects of N -(3,4-dimethoxycinnamonyl) ... ...

Abstract	Background: Aryl hydrocarbon receptor (AhR) plays important roles in modulating immune responses. However, the role of AhR in rat liver transplantation (LT) has not been explored. Methods: Safety and side effects of N -(3,4-dimethoxycinnamonyl) anthranilic acid (3,4-DAA) and 2-methyl-2H-pyrazole-3-carboxylic acid amide (CH223191) were evaluated. We used optimal doses of 2 drugs, 3,4-DAA, a drug used for mediating AhR activation, and CH223191, antagonist of AhR (3,4-DAA, CH223191, and 3,4-DAA + CH223191), intraperitoneally administered to recipients daily to investigate the role of AhR in the rat LT model. The recipient livers were used to observe the pathological changes, the cells infiltrating the graft, and changes of AhR and programmed death-1 (PD-1) by Western blot, real-time polymerase chain reaction, and immunofluorescence assays. The contents of Foxp3 + and PD-1 + T cells in the recipient spleen and peripheral blood mononuclear cells were evaluated by flow cytometry. In vitro, after isolating CD4 + T cells, they were treated with different AhR ligands to observe the differentiation direction and PD-1 expression level. Results: The activation of AhR by 3,4-DAA prolonged survival time and ameliorated graft rejection, which were associated with increased expression of AhR and PD-1 in the livers and increased Foxp3 + T cells and PD-1 + T cells in recipient spleens, livers, and peripheral blood mononuclear cells. In vitro, primary T cells incubated with 3,4-DAA mediated increased proportion of Treg and PD-1 + T cells. However, the suppression of AhR with CH223191 reverses these effects, both in the LT model and in vitro. Conclusions: Our results indicated that AhR activation might reduce the occurrence of rat acute rejection by increasing the proportion of Treg and the expression of PD-1.
MeSH term(s)	Animals ; Rats ; Amides/metabolism ; Amides/pharmacology ; Cell Proliferation ; Forkhead Transcription Factors/genetics ; Forkhead Transcription Factors/metabolism ; Leukocytes, Mononuclear/metabolism ; Liver Transplantation ; Programmed Cell Death 1 Receptor/genetics ; Pyrazoles ; Receptors, Aryl Hydrocarbon/genetics ; T-Lymphocytes, Regulatory
Chemical Substances	2-methyl-2H-pyrazole-3-carboxylic acid (2-methyl-4-o-tolylazophenyl)amide ; Amides ; Forkhead Transcription Factors ; N-(3',4'-dimethoxycinnamonyl)anthranilic acid ; Programmed Cell Death 1 Receptor ; Pyrazoles ; Receptors, Aryl Hydrocarbon
Language	English
Publishing date	2022-06-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	208424-7
ISSN	1534-6080 ; 0041-1337
ISSN (online)	1534-6080
ISSN	0041-1337
DOI	10.1097/TP.0000000000004205
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Zs.A 488: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
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