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Article ; Online: Optimization of under-sampling phase detection accuracy in phase laser ranging.

Pan, Yingling / Ji, Rongyi / Xie, Ziqi / Gao, Meng / Dong, Dengfeng / Zhou, Weihu / Li, Guicun

Applied optics

2024 Volume 63, Issue 4, Page(s) 1022–1031

Abstract: Under-sampling is an advantageous way for lowering sampling circuit complexity in phase laser ranging while maintaining high modulated frequency operation. Improving the accuracy of the ranging system is the aim of the proposed selection criteria with ... ...

Abstract	Under-sampling is an advantageous way for lowering sampling circuit complexity in phase laser ranging while maintaining high modulated frequency operation. Improving the accuracy of the ranging system is the aim of the proposed selection criteria with involved under-sampling parameters. These parameters include signal frequency, sampling frequency, and calculation points. Setting the number of one periodic sampling points to be an integer power of 2 (
Language	English
Publishing date	2024-03-04
Publishing country	United States
Document type	Journal Article
ISSN	1539-4522
ISSN (online)	1539-4522
DOI	10.1364/AO.510986
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Marine Natural Products as Novel Treatments for Parasitic Diseases.

Cheng, Wenbing / Huang, Yanbing / Gao, Haijun / Bold, Bolor / Zhang, Ting / Yang, Dengfeng

Handbook of experimental pharmacology

2024

Abstract: Parasitic diseases including malaria, leishmaniasis, and trypanosomiasis have received significant attention due to their severe health implications, especially in developing countries. Marine natural products from a vast and diverse range of marine ... ...

Abstract	Parasitic diseases including malaria, leishmaniasis, and trypanosomiasis have received significant attention due to their severe health implications, especially in developing countries. Marine natural products from a vast and diverse range of marine organisms such as sponges, corals, molluscs, and algae have been found to produce unique bioactive compounds that exhibit promising potent properties, including antiparasitic, anti-Plasmodial, anti-Leishmanial, and anti-Trypanosomal activities, providing hope for the development of effective treatments. Furthermore, various techniques and methodologies have been used to investigate the mechanisms of these antiparasitic compounds. Continued efforts in the discovery and development of marine natural products hold significant promise for the future of novel treatments against parasitic diseases.
Language	English
Publishing date	2024-03-31
Publishing country	Germany
Document type	Journal Article
ISSN	0171-2004
ISSN	0171-2004
DOI	10.1007/164_2024_712
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Article ; Online: Sk-Conv and SPP-based UNet for lesion segmentation of coronary optical coherence tomography.

Wang, Zhan / Zheng, Jiawei / Jiang, Peilin / Gao, Dengfeng

Technology and health care : official journal of the European Society for Engineering and Medicine

2023 Volume 31, Issue S1, Page(s) 347–355

Abstract: Background: Coronary artery disease (CAD) manifests with a blockage the coronary arteries, usually due to plaque buildup, and has a serious impact on the human life. Atherosclerotic plaques, including fibrous plaques, lipid plaques, and calcified ... ...

Abstract	Background: Coronary artery disease (CAD) manifests with a blockage the coronary arteries, usually due to plaque buildup, and has a serious impact on the human life. Atherosclerotic plaques, including fibrous plaques, lipid plaques, and calcified plaques can lead to occurrence of CAD. Optical coherence tomography (OCT) is employed in the clinical practice as it clearly provides a detailed display of the lesion plaques, thereby assessing the patient's condition. Analyzing the OCT images manually is a very tedious and time-consuming task for the clinicians. Therefore, automatic segmentation of the coronary OCT images is necessary. Objective: In view of the good utility of Unet network in the segmentation of medical images, the present study proposed the development of a Unet network based on Sk-Conv and spatial pyramid pooling modules to segment the coronary OCT images. Methods: In order to extract multi-scale features, these two modules were added at the bottom of UNet. Meanwhile, ablation experiments are designed to verify each module is effective. Results: After testing, our model achieves 0.8935 on f1 score and 0.7497 on mIOU. Compared to the current advanced models, our model performs better. Conclusion: Our model achieves good results on OCT sequences.
MeSH term(s)	Humans ; Tomography, Optical Coherence/methods ; Coronary Artery Disease/diagnostic imaging ; Coronary Artery Disease/pathology ; Plaque, Atherosclerotic/diagnostic imaging ; Plaque, Atherosclerotic/pathology ; Heart ; Coronary Vessels/diagnostic imaging ; Coronary Vessels/pathology
Language	English
Publishing date	2023-05-05
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1159961-3
ISSN	1878-7401 ; 0928-7329
ISSN (online)	1878-7401
ISSN	0928-7329
DOI	10.3233/THC-236030
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Article ; Online: The role of cardiac remodeling associated with renal function in mediating cardiovascular event outcomes.

Lv, Zhi / Fu, Yangzhi / Liu, Chang / Ma, Yao / Yuan, Miao / Ren, Junru / Gao, Dengfeng

iScience

2024 Volume 27, Issue 3, Page(s) 109143

Abstract: The potential impact of renal function-related cardiovascular remodeling on associated cardiovascular risk has not been previously investigated. Hence, we conducted multiple mediation analyses in the UK Biobank study to evaluate this association. Using ... ...

Abstract	The potential impact of renal function-related cardiovascular remodeling on associated cardiovascular risk has not been previously investigated. Hence, we conducted multiple mediation analyses in the UK Biobank study to evaluate this association. Using multiple Cox models, we found lower renal function (estimated glomerular filtration rate based on cystatin C, eGFR-cysC) was independently related to increased risks of various cardiovascular events and mortalities. Multivariable linear regression revealed a progressive relationship between declining eGFR-cysC and adverse left ventricular (LV) remodeling and impaired systolic function. In Cox models, larger LV volume, mass, as well as decreased systolic function, were significantly correlated with adverse events, particularly in heart failure. Mediation analyses showed that undesirable LV remodeling and cardiometabolic diseases were independent mediators. Our study explores the connections between reduced renal function and poor cardiovascular phenotypes, as well as their significant independent role in mediating renal function-cardiovascular outcome relationships.
Language	English
Publishing date	2024-02-05
Publishing country	United States
Document type	Journal Article
ISSN	2589-0042
ISSN (online)	2589-0042
DOI	10.1016/j.isci.2024.109143
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Article ; Online: The relationship between complement C1q and coronary plaque vulnerability based on optical coherence tomography analysis.

Wang, Yuan / Zheng, Jiawei / Li, Qing / Ma, Yao / Liu, Chang / Deng, Jie / Gao, Dengfeng

Scientific reports

2024 Volume 14, Issue 1, Page(s) 9477

Abstract: To determine the association between complement C1q and vulnerable plaque morphology among coronary artery disease (CAD) patients. We conducted a retrospective observational study of 221 CAD patients admitted to The Second Affiliated Hospital of Xi'an ... ...

Abstract	To determine the association between complement C1q and vulnerable plaque morphology among coronary artery disease (CAD) patients. We conducted a retrospective observational study of 221 CAD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University. Intravascular optical coherence tomography was utilized to describe the culprit plaques' morphology. Using logistic regression analysis to explore the correlation between C1q and vulnerable plaques, and receiver operator characteristic (ROC) analysis assess the predictive accuracy. As reported, the complement C1q level was lower in ACS patients than CCS patients (18.25 ± 3.88 vs. 19.18 ± 4.25, P = 0.045). The low complement-C1q-level group was more prone to develop vulnerable plaques. In lipid-rich plaques, the complement C1q level was positively correlated with the thickness of fibrous cap (r = 0.480, P = 0.041). Univariate and multivariate logistic regression analyses suggested that complement C1q could be an independent contributor to plaques' vulnerability. For plaque rupture, erosion, thrombus, and cholesterol crystals, the areas under the ROC curve of complement C1q level were 0.873, 0.816, 0.785, and 0.837, respectively (P < 0.05 for all). In CAD patients, the complement C1q could be a valuable indicator of plaque vulnerability.
MeSH term(s)	Humans ; Tomography, Optical Coherence/methods ; Male ; Female ; Plaque, Atherosclerotic/diagnostic imaging ; Plaque, Atherosclerotic/pathology ; Middle Aged ; Complement C1q/metabolism ; Complement C1q/analysis ; Coronary Artery Disease/diagnostic imaging ; Coronary Artery Disease/pathology ; Aged ; Retrospective Studies ; ROC Curve
Chemical Substances	Complement C1q (80295-33-6)
Language	English
Publishing date	2024-04-25
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Observational Study
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-60128-0
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Identifying an immunogenic cell death-related gene signature contributes to predicting prognosis, immunotherapy efficacy, and tumor microenvironment of lung adenocarcinoma.

Li, Xue / Zhang, Dengfeng / Guo, Pengfei / Ma, Shaowei / Gao, Shaolin / Li, Shujun / Yuan, Yadong

Aging

2024 Volume 16, Issue 7, Page(s) 6290–6313

Abstract: Background: Immunogenic cell death (ICD) is a regulated form of cell death that triggers an adaptive immune response. The objective of this study was to investigate the correlation between ICD-related genes (ICDGs) and the prognosis and the immune ... ...

Abstract	Background: Immunogenic cell death (ICD) is a regulated form of cell death that triggers an adaptive immune response. The objective of this study was to investigate the correlation between ICD-related genes (ICDGs) and the prognosis and the immune microenvironment of patients with lung adenocarcinoma (LUAD). Methods: ICD-associated molecular subtypes were identified through consensus clustering. Subsequently, a prognostic risk model comprising 5 ICDGs was constructed using Lasso-Cox regression in the TCGA training cohort and further tested in the GEO cohort. Enriched pathways among the subtypes were analyzed using GO, KEGG, and GSVA. Furthermore, the immune microenvironment was assessed using ESTIMATE, CIBERSORT, and ssGSEA analyses. Results: Consensus clustering divided LUAD patients into three ICDG subtypes with significant differences in prognosis and the immune microenvironment. A prognostic risk model was constructed based on 5 ICDGs and it was used to classify the patients into two risk groups; the high-risk group had poorer prognosis and an immunosuppressive microenvironment characterized by low immune score, low immune status, high abundance of immunosuppressive cells, and high expression of tumor purity. Cox regression, ROC curve analysis, and a nomogram indicated that the risk model was an independent prognostic factor. The five hub genes were verified by TCGA database, cell sublocalization immunofluorescence analysis, IHC images and qRT-PCR, which were consistent with bioinformatics analysis. Conclusions: The molecular subtypes and a risk model based on ICDGs proposed in our study are both promising prognostic classifications in LUAD, which may provide novel insights for developing accurate targeted cancer therapies.
MeSH term(s)	Humans ; Tumor Microenvironment/immunology ; Tumor Microenvironment/genetics ; Adenocarcinoma of Lung/genetics ; Adenocarcinoma of Lung/immunology ; Adenocarcinoma of Lung/pathology ; Adenocarcinoma of Lung/therapy ; Adenocarcinoma of Lung/mortality ; Lung Neoplasms/genetics ; Lung Neoplasms/immunology ; Lung Neoplasms/pathology ; Lung Neoplasms/therapy ; Lung Neoplasms/mortality ; Prognosis ; Immunotherapy ; Immunogenic Cell Death/genetics ; Gene Expression Regulation, Neoplastic ; Biomarkers, Tumor/genetics ; Gene Expression Profiling ; Male ; Transcriptome ; Female
Chemical Substances	Biomarkers, Tumor
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.205705
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: New discoveries in the field of metabolism by applying single-cell and spatial omics.

Xie, Baocai / Gao, Dengfeng / Zhou, Biqiang / Chen, Shi / Wang, Lianrong

Journal of pharmaceutical analysis

2023 Volume 13, Issue 7, Page(s) 711–725

Abstract: Single-cell multi-Omics (SCM-Omics) and spatial multi-Omics (SM-Omics) technologies provide state-of-the-art methods for exploring the composition and function of cell types in tissues/organs. Since its emergence in 2009, single-cell RNA sequencing ( ... ...

Abstract	Single-cell multi-Omics (SCM-Omics) and spatial multi-Omics (SM-Omics) technologies provide state-of-the-art methods for exploring the composition and function of cell types in tissues/organs. Since its emergence in 2009, single-cell RNA sequencing (scRNA-seq) has yielded many groundbreaking new discoveries. The combination of this method with the emergence and development of SM-Omics techniques has been a pioneering strategy in neuroscience, developmental biology, and cancer research, especially for assessing tumor heterogeneity and T-cell infiltration. In recent years, the application of these methods in the study of metabolic diseases has also increased. The emerging SCM-Omics and SM-Omics approaches allow the molecular and spatial analysis of cells to explore regulatory states and determine cell fate, and thus provide promising tools for unraveling heterogeneous metabolic processes and making them amenable to intervention. Here, we review the evolution of SCM-Omics and SM-Omics technologies, and describe the progress in the application of SCM-Omics and SM-Omics in metabolism-related diseases, including obesity, diabetes, nonalcoholic fatty liver disease (NAFLD) and cardiovascular disease (CVD). We also conclude that the application of SCM-Omics and SM-Omics approaches can help resolve the molecular mechanisms underlying the pathogenesis of metabolic diseases in the body and facilitate therapeutic measures for metabolism-related diseases. This review concludes with an overview of the current status of this emerging field and the outlook for its future.
Language	English
Publishing date	2023-06-04
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	2630174-X
ISSN	2214-0883 ; 2095-1779
ISSN (online)	2214-0883
ISSN	2095-1779
DOI	10.1016/j.jpha.2023.06.002
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Article ; Online: The Value of SII in Predicting the Mortality of Patients with Heart Failure.

Yuan, Miao / Ren, Fuxian / Gao, Dengfeng

Disease markers

2022 Volume 2022, Page(s) 3455372

Abstract: Background: The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients.: Methods: Critically ill patients with HF were identified from ... ...

Abstract	Background: The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients. Methods: Critically ill patients with HF were identified from the Medical Information Mart for Intensive Care III (MIMIC III) database. Patients were divided into three groups according to tertiles of SII (group 1, group 2, group 3). We used Kaplan-Meier curves and Cox proportional hazards regression models to evaluate the association between the SII and all-cause mortality in HF. Subgroup analysis was used to verify the predictive effect of the SII on mortality. Results: This study included 9107 patients with a diagnosis of HF from the MIMIC III database. After 30, 60, 180, and 365 days of follow-up, 25.60%, 32.10%, 41.30%, and 47.50% of the patients in group 3 had died. Using the Kaplan-Meier curve, we observed that patients with higher SII values had a shorter survival time (log rank Conclusions: SII values could be used as a predictor of prognosis in critically ill patients with HF.
MeSH term(s)	Critical Illness ; Heart Failure ; Humans ; Inflammation ; Prognosis ; Proportional Hazards Models
Language	English
Publishing date	2022-05-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	604951-5
ISSN	1875-8630 ; 0278-0240
ISSN (online)	1875-8630
ISSN	0278-0240
DOI	10.1155/2022/3455372
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Zs.A 1856: 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)
Einzelsignatur: Show issues

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Article: Role of PCSK9 in Homocysteine-Accelerated Lipid Accumulation in Macrophages and Atherosclerosis in ApoE

Jin, Ping / Gao, Dengfeng / Cong, Guangzhi / Yan, Ru / Jia, Shaobin

Frontiers in cardiovascular medicine

2021 Volume 8, Page(s) 746989

Abstract: Background: ...

Abstract	Background:
Language	English
Publishing date	2021-10-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2021.746989
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Article ; Online: The Value of SII in Predicting the Mortality of Patients with Heart Failure

Miao Yuan / Fuxian Ren / Dengfeng Gao

Disease Markers, Vol

2022 Volume 2022

Abstract: Background. The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients. Methods. Critically ill patients with HF were identified from the ... ...

Abstract	Background. The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients. Methods. Critically ill patients with HF were identified from the Medical Information Mart for Intensive Care III (MIMIC III) database. Patients were divided into three groups according to tertiles of SII (group 1, group 2, group 3). We used Kaplan-Meier curves and Cox proportional hazards regression models to evaluate the association between the SII and all-cause mortality in HF. Subgroup analysis was used to verify the predictive effect of the SII on mortality. Results. This study included 9107 patients with a diagnosis of HF from the MIMIC III database. After 30, 60, 180, and 365 days of follow-up, 25.60%, 32.10%, 41.30%, and 47.50% of the patients in group 3 had died. Using the Kaplan-Meier curve, we observed that patients with higher SII values had a shorter survival time (log rank p<0.001). The Cox proportional hazards regression model adjusted for all possible confounders and indicated that the higher SII group had a higher mortality (30-day: HR=1.304, 95%CI=1.161−1.465, 60-day: HR=1.266, 95% CI=1.120−1.418, 180-day: HR=1.274, 95%CI=1.163−1.395, and 365-day: HR=1.255, 95%CI=1.155−1.364). Conclusions. SII values could be used as a predictor of prognosis in critically ill patients with HF.
Keywords	Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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