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Article ; Online: MGLL deficiency in tumor-associated macrophages promotes immunosuppression and colorectal peritoneal metastases in mice

YUAN Jing / MIAO Hongming

陆军军医大学学报, Vol 45, Iss 6, Pp 530-

2023 Volume 538

Abstract: Objective To investigate the effects and mechanisms of monoacylglycerol lipase (MGLL) in tumor-associated macrophages (TAMs) for the progression of colorectal cancer peritoneal metastases (CRC-PM). Methods After macrophage MGLL conditional knockout (cKO) ...

Abstract	Objective To investigate the effects and mechanisms of monoacylglycerol lipase (MGLL) in tumor-associated macrophages (TAMs) for the progression of colorectal cancer peritoneal metastases (CRC-PM). Methods After macrophage MGLL conditional knockout (cKO) mice was constructed, a CRC-PM model was established in these cKO mice. The effects and mechanism of MGLL deficiency on TAMs were studies with cell biological and RNA-Seq assays. Results Compared with the control mice, macrophage MGLL deficiency significantly shortened the survival time of CRC-PC mice (P < 0.05), increased the weight of peritoneal tumor masses (P < 0.05), diminished the percentage of T cells in the tumor microenvironment (P < 0.01), while elevated the percentage of M2 macrophages in cKO mice (P < 0.05). And the results of RNA-seq showed that TRLs, PD-1/PDL-1, and HIF-1 signal pathways were significantly changed in MGLL deficiency macrophages. Conclusion In the process of CRC-PC, MGLL deficiency leads to macrophage activation towards an M2-type phenotype and further destroys T cell-based anti-tumor immunity capacity, and ultimately promotes the progression of CRC-PC. The mechanisms may be due to the changes in TRLs, PD-1/PDL-1, and HIF-1 signal pathways.
Keywords	tumor-associated macrophages ; monoacylglycerol lipase ; colorectal cancer ; peritoneal metastases ; Medicine (General) ; R5-920
Language	Chinese
Publishing date	2023-03-01T00:00:00Z
Publisher	Editorial Office of Journal of Army Medical University
Document type	Article ; Online
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Article ; Online: Editorial for "Irregularity of Carotid Plaque Surface Predicts Subsequent Vascular Event: An MRI Study".

Yuan, Jing

Journal of magnetic resonance imaging : JMRI

2020 Volume 52, Issue 1, Page(s) 195–196

Abstract: Level of evidence: 5 TECHNICAL EFFICACY: Stage 2 J. Magn. Reson. Imaging 2020;52:195-196. ...

Abstract	Level of evidence: 5 TECHNICAL EFFICACY: Stage 2 J. Magn. Reson. Imaging 2020;52:195-196.
MeSH term(s)	Carotid Arteries ; Carotid Stenosis ; Humans ; Magnetic Resonance Imaging ; Plaque, Amyloid ; Plaque, Atherosclerotic
Language	English
Publishing date	2020-03-10
Publishing country	United States
Document type	Editorial ; Comment
ZDB-ID	1146614-5
ISSN	1522-2586 ; 1053-1807
ISSN (online)	1522-2586
ISSN	1053-1807
DOI	10.1002/jmri.27121
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Zs.A 3648: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Weight change patterns across adulthood in relation to osteoporosis and fracture among non-obese individuals.

Jia, Pu / Yuan, Jing

Archives of osteoporosis

2023 Volume 19, Issue 1, Page(s) 2

Abstract: Weight change was an influencing factor of osteoporosis and fracture in a controversial way. Based on a nationally representative data, we found that weight change from obesity in midlife to non-obesity in late adulthood was associated with a reduction ... ...

Abstract	Weight change was an influencing factor of osteoporosis and fracture in a controversial way. Based on a nationally representative data, we found that weight change from obesity in midlife to non-obesity in late adulthood was associated with a reduction in the risk of osteoporosis and wrist fracture in male, but not in female. Introduction: Obesity is usually recognized as a protective factor to osteoporosis and osteoporotic fracture. However, it is still unclear whether historical weight status was associated with the risk of osteoporosis and fracture. The aim of this study was to investigate the relationship between weight change patterns across adulthood and the prevalence of osteoporosis and fracture. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) with 8725 US adults aged ≥ 40 years were analyzed in this study. Weight change patterns were categorized as "stable non-obese," "obese with earlier weight gain," "obese with recent weight gain," and "revert to non-obese" based on the body mass index (BMI) at 25 years old, 10 years prior to baseline and at baseline. Body mineral density (BMD) was measured using dual x-ray absorptiometry (DXA), and osteoporosis was diagnosed based on the World Health Organization criteria. Self-reported occurrence of osteoporotic fractures were determined by questionnaires. Results: Compared with subjects in "stable non-obese" group, obese with earlier weight gain were positively related to the increase of BMD in both genders, while elevated BMD was only observed in female of "obese with recent weight gain" group and in male of "revert to non-obese" group after multiple adjustment. Moreover, changing from the obesity to non-obesity in the 10 years period before baseline was associated with a 81.6% lower risk of osteoporosis (odds ratio (OR) 0.184, 95% confidence interval (CI) 0.037-0.914 (P = 0.039)) and a 69.8% lower risk of wrist fracture (OR 0.302, 95%CI 0.120-0.757 (P = 0.012)) in male, but not in female. Conclusion: Weight change from obesity in midlife to non-obesity in late adulthood was associated with a reduction in the risk of osteoporosis and wrist fracture in male. Our findings support the importance of investigating the mechanism of weight change in different life period.
MeSH term(s)	Adult ; Female ; Male ; Humans ; Nutrition Surveys ; Wrist Fractures ; Bone Density ; Osteoporosis/epidemiology ; Osteoporosis/complications ; Obesity/epidemiology ; Obesity/complications ; Osteoporotic Fractures/epidemiology ; Osteoporotic Fractures/complications ; Absorptiometry, Photon ; Weight Gain ; Risk Factors
Language	English
Publishing date	2023-12-14
Publishing country	England
Document type	Journal Article
ZDB-ID	2253231-6
ISSN	1862-3514 ; 1862-3522
ISSN (online)	1862-3514
ISSN	1862-3522
DOI	10.1007/s11657-023-01362-3
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Article ; Online: The beneficial effects of concept definition and interactive imagery tasks on associative memory: Evidence from event-related potentials.

Liu, Zejun / Yuan, Jing / Liu, Wei

International journal of psychophysiology : official journal of the International Organization of Psychophysiology

2024 Volume 197, Page(s) 112300

Abstract: It is widely accepted that familiarity can support associative memory when the to-be-remember items are unitized into a new representation. However, there has been relatively little attention devoted to investigating the effects of different unitization ... ...

Abstract	It is widely accepted that familiarity can support associative memory when the to-be-remember items are unitized into a new representation. However, there has been relatively little attention devoted to investigating the effects of different unitization manipulations on associative memory. The present study aimed to address this gap by examining the effects of varying levels of unitization through three tasks: Concept definition, interactive imagery, and sentence frame tasks. The behavioral results revealed that associative memory was significantly enhanced in the interactive imagery task compared to the sentence frame task. However, no significant differences were found between the sentence frame and concept definition tasks, or between the concept definition and interactive imagery tasks. In terms of the neural correlates, the event-related potential (ERP) results revealed that the sentence frame task only elicited a significant recollection-related LPC old/new effect, while the concept definition task only elicited a significant familiarity-related FN400 old/new effect. However, the interactive representation task elicited both of these distinct effects. These findings suggest that both the concept definition and interactive imagery tasks can enhance familiarity for supporting associative memory, but their beneficial effects on associative memory or LPC old/new effects may be different.
MeSH term(s)	Humans ; Electroencephalography ; Evoked Potentials/physiology ; Recognition, Psychology/physiology ; Mental Recall/physiology
Language	English
Publishing date	2024-01-10
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	605645-3
ISSN	1872-7697 ; 0167-8760
ISSN (online)	1872-7697
ISSN	0167-8760
DOI	10.1016/j.ijpsycho.2024.112300
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Zs.A 1925: Show issues

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Article ; Online: Identifying Mixed Dementia With Lewy Bodies and Alzheimer Disease Using Multitracer PET Imaging: A Case Study.

Li, Qijun / Wang, Junshan / Cui, Ruixue / Yuan, Jing

Clinical nuclear medicine

2024 Volume 49, Issue 4, Page(s) 364–365

Abstract: Abstract: We reported imaging findings with complex signs that were corresponded with both dementia with Lewy bodies (DLB) and Alzheimer disease (AD) in the case of a 78-year-old woman. Initially suspected as DLB due to cognitive and movement issues, ... ...

Abstract	Abstract: We reported imaging findings with complex signs that were corresponded with both dementia with Lewy bodies (DLB) and Alzheimer disease (AD) in the case of a 78-year-old woman. Initially suspected as DLB due to cognitive and movement issues, diagnostic support included the cingulate island sign on 18 F-FDG PET, positive 131 I-MIBG cardiac scintigraphy, and DAT PET. However, MRI indicated hippocampal atrophy, and 18 F-FDG PET showed hypometabolism in the medial temporal lobe, suggesting the possibility of concomitant AD. Subsequent detection of β-amyloid pathology and tau accumulation in the brain further supported the concurrent presence of AD pathology.
MeSH term(s)	Female ; Humans ; Aged ; Mixed Dementias ; Alzheimer Disease/diagnostic imaging ; Fluorodeoxyglucose F18 ; Lewy Body Disease/diagnostic imaging ; Amyloid beta-Peptides
Chemical Substances	Fluorodeoxyglucose F18 (0Z5B2CJX4D) ; Amyloid beta-Peptides
Language	English
Publishing date	2024-02-05
Publishing country	United States
Document type	Case Reports ; Journal Article
ZDB-ID	197628-x
ISSN	1536-0229 ; 0363-9762
ISSN (online)	1536-0229
ISSN	0363-9762
DOI	10.1097/RLU.0000000000005081
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Zs.A 1276: Show issues

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Article ; Online: A 1064 nm laser adaptive limiter with visible light transparency based on one dimensional photonic crystals of LiNbO

Xu, Guichuan / Lu, Zhengang / Yuan, Jing / Tan, Jiubin

Nanoscale

2024 Volume 16, Issue 12, Page(s) 6033–6040

Abstract: Herein, we present the investigation of the visible light transparency and optical limiting characteristics of one dimensional photonic crystals with ... ...

Abstract	Herein, we present the investigation of the visible light transparency and optical limiting characteristics of one dimensional photonic crystals with LiNbO
Language	English
Publishing date	2024-03-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2515664-0
ISSN	2040-3372 ; 2040-3364
ISSN (online)	2040-3372
ISSN	2040-3364
DOI	10.1039/d3nr06593f
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Article ; Online: Integration of serum pharmacochemistry and metabolomics to reveal the underlying mechanism of shaoyao-gancao-fuzi decoction to ameliorate rheumatoid arthritis.

Li, Ze / Yuan, Jing / Dai, Yue / Xia, Yufeng

Journal of ethnopharmacology

2024 Volume 326, Page(s) 117910

Abstract: Ethnopharmacological relevance: For centuries, Shaoyao-Gancao-Fuzi decoction (SGFD) has been a reliable traditional Chinese medicine for treating rheumatoid arthritis (RA). Despite its long history of use, the specific active components and underlying ... ...

Abstract	Ethnopharmacological relevance: For centuries, Shaoyao-Gancao-Fuzi decoction (SGFD) has been a reliable traditional Chinese medicine for treating rheumatoid arthritis (RA). Despite its long history of use, the specific active components and underlying mechanisms of its therapeutic effects have yet to be fully understood. Aim of the study: The aim of this study was to investigate the active ingredients and therapeutic effects of SGFD on RA, and to further understand its underlying mechanism. Materials and methods: The chemical constituents in SGFD extract and in rat serum after oral administration of SGFD were identified and evaluated using ultra-performance liquid chromatography quadrupole-time-flight mass spectrometry (UPLC-Q-TOF/MS) together with various data-processing methods, respectively. The efficacy of SGFD was assessed by using an adjuvant-induced arthritis (AIA) rat model and lipopolysaccharide-stimulated RAW 264.7 cell. Subsequently, cell metabolomic was conducted to clarify the potential biomarkers and pathways. ELISA, RT-qPCR, and WB were used to verify the anti-arthritis mechanism of SGFD. Results: A total of 65 chemical constituents were identified in SGFD. 17 active components were distinguished in rat serum samples, of which 13 may be the main active ingredients for SGFD treatment of RA. The remarkable efficacy of SGFD in reducing the symptoms of RA is evident through its ability to alleviate the redness and swelling of the affected paws, as well as reduce the infiltration of inflammatory cells. Cell experiments revealed that rat serum of SGFD reduced IL-1β, IL-6, and TNF-α secretion in RAW 264.7 cells. 27 potential biomarkers were identified through cell metabolomics analysis. The arachidonic acid (AA) metabolism signaling pathway was activated in RA, which could be reversed by rat serum of SGFD. SGFD effectively inhibited the expression and transformation of AA by downregulating the expression of key enzymes, including phospholipase A and cyclooxygenase. Conclusion: SGFD may ameliorate RA symptoms by regulating the AA-PGH
MeSH term(s)	Rats ; Animals ; Chromatography, High Pressure Liquid/methods ; Drugs, Chinese Herbal/pharmacology ; Drugs, Chinese Herbal/therapeutic use ; Drugs, Chinese Herbal/chemistry ; Metabolomics/methods ; Arthritis, Rheumatoid/drug therapy ; Arthritis, Rheumatoid/metabolism ; Biomarkers ; Diterpenes ; Glycyrrhiza
Chemical Substances	glycyrrhizae radix et rhizoma (2788Z9758H) ; fuzi drug herbal ; Drugs, Chinese Herbal ; Biomarkers ; Diterpenes
Language	English
Publishing date	2024-02-17
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	134511-4
ISSN	1872-7573 ; 0378-8741
ISSN (online)	1872-7573
ISSN	0378-8741
DOI	10.1016/j.jep.2024.117910
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Zs.A 1494: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Enhanced Seamless Video Fusion: A Convolutional Pyramid-Based 3D Integration Algorithm.

Zhang, Yueheng / Yuan, Jing / Yan, Changxiang

Sensors (Basel, Switzerland)

2024 Volume 24, Issue 6

Abstract: Video fusion aims to synthesize video footage from different sources into a unified, coherent output. It plays a key role in areas such as video editing and special effects production. The challenge is to ensure the quality and naturalness of synthetic ... ...

Abstract	Video fusion aims to synthesize video footage from different sources into a unified, coherent output. It plays a key role in areas such as video editing and special effects production. The challenge is to ensure the quality and naturalness of synthetic video, especially when dealing with footage of different sources and qualities. Researchers continue to strive to optimize algorithms to adapt to a variety of complex application scenarios and improve the effectiveness and applicability of video fusion. We introduce an algorithm based on a convolution pyramid and propose a 3D video fusion algorithm that looks for the potential function closest to the gradient field in the least square sense. The 3D Poisson equation is solved to realize seamless video editing. This algorithm uses a multi-scale method and wavelet transform to approximate linear time. Through numerical optimization, a small core is designed to deal with large target filters, and multi-scale transformation analysis and synthesis are realized. In terms of seamless video fusion, it shows better performance than existing algorithms. Compared with editing multiple 2D images into video after Poisson fusion, the video quality produced by this method is very close, and the computing speed of the video fusion is improved to a certain extent.
Language	English
Publishing date	2024-03-14
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/s24061852
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Article ; Online: Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery

Si-Yuan Jing

Complexity, Vol

2020 Volume 2020

Abstract: Evolutionary algorithm is an effective way to solve process discovery problem which aims to mine process models from event logs which are consistent with the real business processes. However, current evolutionary algorithms, such as GeneticMiner, ETM, ... ...

Abstract	Evolutionary algorithm is an effective way to solve process discovery problem which aims to mine process models from event logs which are consistent with the real business processes. However, current evolutionary algorithms, such as GeneticMiner, ETM, and ProDiGen, converge slowly and in difficultly because all of them employ genetic crossover and mutation which have strong randomness. This paper proposes a hybrid evolutionary algorithm for automated process discovery, which consists of a set-based differential evolution algorithm and guided local exploration. There are three major innovations in this work. First of all, a hybrid evolutionary strategy is proposed, in which a differential evolution algorithm is employed to search the solution space and rapidly approximate the optimal solution firstly, and then a specific local exploration method joins to help the algorithm skip out the local optimum. Secondly, two novel set-based differential evolution operators are proposed, which can efficiently perform differential mutation and crossover on the causal matrix. Thirdly, a fine-grained evaluation technique is designed to assign score to each node in a process model, which is employed to guide the local exploration and improve the efficiency of the algorithm. Experiments were performed on 68 different event logs, including 22 artificial event logs, 44 noisy event logs, and two real event logs. Moreover, the proposed algorithm was compared with three popular algorithms of process discovery. Experimental results show that the proposed algorithm can achieve good performance and its converge speed is fast.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
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Article ; Online: Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data

Yaru Hao / Xiao-Yuan Jing / Qixing Sun

BMC Bioinformatics, Vol 24, Iss 1, Pp 1-

2023 Volume 16

Abstract: Abstract Background Cancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help clinicians make appropriate therapeutic schemes. Cancer data can be characterized by varied molecular ... ...

Abstract	Abstract Background Cancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help clinicians make appropriate therapeutic schemes. Cancer data can be characterized by varied molecular features, clinical behaviors and morphological appearances. However, the cancer heterogeneity problem usually makes patient samples with different risks (i.e., short and long survival time) inseparable, thereby causing unsatisfactory prediction results. Clinical studies have shown that genetic data tends to contain more molecular biomarkers associated with cancer, and hence integrating multi-type genetic data may be a feasible way to deal with cancer heterogeneity. Although multi-type gene data have been used in the existing work, how to learn more effective features for cancer survival prediction has not been well studied. Results To this end, we propose a deep learning approach to reduce the negative impact of cancer heterogeneity and improve the cancer survival prediction effect. It represents each type of genetic data as the shared and specific features, which can capture the consensus and complementary information among all types of data. We collect mRNA expression, DNA methylation and microRNA expression data for four cancers to conduct experiments. Conclusions Experimental results demonstrate that our approach substantially outperforms established integrative methods and is effective for cancer survival prediction. Availability and implementation https://github.com/githyr/ComprehensiveSurvival .
Keywords	Cancer survival prediction ; Shared information ; Specific information ; Comprehensive representation ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
Subject code	004
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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