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Article ; Online: Advances on effects and mechanisms of PM2.5 on occurrence and development of kidney diseases

Mengqiu LU / Zhijun HUANG / Bin YI

环境与职业医学, Vol 40, Iss 6, Pp 711-

2023 Volume 715

Abstract: Air pollution is a serious global public health problem. Air pollutants, especially fine particulate matter (PM2.5), are associated with increased risks of various diseases. In recent years, studies have confirmed that PM2.5 is closely related to chronic ...

Abstract	Air pollution is a serious global public health problem. Air pollutants, especially fine particulate matter (PM2.5), are associated with increased risks of various diseases. In recent years, studies have confirmed that PM2.5 is closely related to chronic kidney disease, secondary kidney disease, and end-stage renal disease. This review summarized the effects of PM2.5 and its components on kidney diseases, and the potential mechanism of kidney injury induced by PM2.5 exposure from the aspects of inflammatory injury and oxidative stress, renal hemodynamic changes, and DNA damage and methylation, aiming to provide an insight for further mechanism research and the prevention and control of air pollution-induced kidney damage.
Keywords	fine particulate matter ; kidney diseases ; chronic kidney disease ; end-stage renal disease ; mechanism ; Medicine (General) ; R5-920 ; Toxicology. Poisons ; RA1190-1270
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Editorial Committee of Journal of Environmental and Occupational Medicine
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research on Detection and Early Warning Mechanism of Emergency Public Health Medical Education System Based on Internet of Things Technology

Lu Fang / Caixia An / Bin Yi

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Sudden public health and medical education events have tested the stability of society to a great extent. The government need to strengthen capacity building, make use of system dynamic supervision, warn public health events in advance, and minimize the ... ...

Abstract	Sudden public health and medical education events have tested the stability of society to a great extent. The government need to strengthen capacity building, make use of system dynamic supervision, warn public health events in advance, and minimize the impact scope and related harmfulness of events. This not only facilitates the rapid mobilization of resources by the later government but also facilitates the comprehensive and detailed deployment and arrangement of decision-makers. As we all know, the Internet of Things is used by all walks of life because of its outstanding advantages of low power consumption, low cost, and wide range. Therefore, this article takes the Internet of Things as the technical basis of the system. According to the actual demand and resource design, it includes two system functions: detection and early warning. The results show that: (1) considering the practical principle, the evaluation system interface found that the scores of font size and color style are all below 80%, which need to be optimized and adjusted; the overall interface basically meets the needs of users. (2) The throughput of the three methods is different. The CoAP-E has superior throughput. (3) With the increase in packet loss rate, the request success rate of the CoAP method decreases in a “drop” manner. The CoAP-E method in this article has the best performance. (4) When the packet loss rate is 25%, the network adaptability of this method is the strongest, and the retransmission rate is less than 18%; the CoAP method is as high as 35%. (5) When the number of concurrent requests is less than 2500, there is no obvious difference between the three methods; the optimal performance of the dynamic load balancing method is 10.1 s. (6) The system comprehensively considers various factors of five site selections. The highest comprehensive score of Final Site, 5 is 8.7, which can be used as the resettlement place of emergency rescue facilities. This article starts from the characteristics and needs of public emergencies, ...
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	600
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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Article ; Online: The spatiotemporal dynamics of lung cancer

Xiang Chen / Shaoyan Mo / Bin Yi

BMC Public Health, Vol 22, Iss 1, Pp 1-

30-year trends of epidemiology across 204 countries and territories

2022 Volume 13

Abstract: Abstract Background It has been established that lung cancer is the leading cause of all cancer deaths. This study sought to analyze the epidemiological trends of lung cancer over the past 30 years worldwide. Methods Estimates, including the global, ... ...

Abstract	Abstract Background It has been established that lung cancer is the leading cause of all cancer deaths. This study sought to analyze the epidemiological trends of lung cancer over the past 30 years worldwide. Methods Estimates, including the global, regional, national prevalence, incidence, and years lived with disability (YLDs) of lung cancer from 1990 to 2019, were extracted from the Global Burden of Disease Study 2019 to assess the spatiotemporal dynamics in cases and age-standardized rates (ASR). The estimated annual percentage change (EAPC) was calculated to evaluate the variation in ASR. Besides, estimates of age-sex specific prevalence, decomposition analysis for incident cases, and correlation analysis of the EAPC were conducted in our study. Results Globally, the ASR of lung cancer prevalence, incidence and YLDs in 2019 were 38.84/100,000 persons, 27.66/100,000 persons, and 6.62/100,000 persons, respectively. Over the past 30 years, the ASR of incidence (EAPC = -0.09) decreased, although that of prevalence (EAPC = 0.51) and YLDs (EAPC = 0.03) increased. The global prevalence counts was greater in males than females at all age groups and increased with age, peaking in the 65–69 age group for both sexes. The increase in incidence was mainly attributed to population aging. For YLDs, EAPC was negatively correlated with the human development index (p = 0.0008) and ASR (p < 0.0001) in 1990 across nation-level units. Conclusions Lung cancer remains a major public health issue globally, warranting the implementation of scientific and effective measures in different countries and territories to control it.
Keywords	Lung cancer ; Prevalence ; Incidence ; Years lived with disability ; Spatiotemporal dynamics ; Public aspects of medicine ; RA1-1270
Subject code	610
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: PM2.5 induces renal tubular injury by activating NLRP3-mediated pyroptosis

Weilin Chen / Yanfang Luo / Jingjing Quan / Ji Zhou / Bin Yi / Zhijun Huang

Ecotoxicology and Environmental Safety, Vol 265, Iss , Pp 115490- (2023)

2023

Abstract: Fine particulate matter (PM2.5)-related health issues have received increasing attention as a worldwide public health problem, and PM2.5-related chronic kidney disease (CKD) has been emerging over the years. Limited research has focused on the mechanism ... ...

Abstract	Fine particulate matter (PM2.5)-related health issues have received increasing attention as a worldwide public health problem, and PM2.5-related chronic kidney disease (CKD) has been emerging over the years. Limited research has focused on the mechanism of PM2.5-induced kidney disease. To investigate the impact of PM2.5 on the kidney and its potential mechanism, we generated a PM2.5-exposed C57BL/6 mouse model by using Shanghai Meteorological and Environment Animal Exposure System (Shanghai-METAS) for 12 weeks, urine, blood and kidney tissues were collected. The pathological changes and the function of the kidney were measured after PM2.5 exposure for 12 weeks. Along with glomerular damage, tubular damage was also severe in PM2.5-induced mice. The results of mRNA-seq indicate that pyroptosis is involved. Pyroptosis is defined as caspase-1-dependent programmed cell death in response to insults. The expression of the nucleotide-binding and oligomerization domain-like receptor family pyrin domain containing 3 (NLRP3), Caspase-1, gasdermin D (GSDMD) and IL-1β was detected. NLRP3 inflammasome activation and subsequent pyroptosis were observed in PM2.5-exposed kidney tissues and PM2.5-exposed Bumpt cells too. At the meantime, the inhibitors of NLRP3 and caspase-1 were applied to the PM2.5 exposed Bumpt cells. It turned out to have a significant rescue effect of the inhibitors. This study revealed new insights into PM2.5-induced kidney injury and specific kidney pathological damage, as well as morphological changes, and defined the important role of pyroptosis in PM2.5-induced kidney dysfunction.
Keywords	Fine particulate matter ; Renal tubular injury ; NLRP3 inflammasome ; Caspase-1 ; Pyroptosis ; Environmental pollution ; TD172-193.5 ; Environmental sciences ; GE1-350
Subject code	616
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Multi-Modality MR Image Synthesis via Confidence-Guided Aggregation and Cross-Modality Refinement.

Peng, Bo / Liu, Bingzheng / Bin, Yi / Shen, Lili / Lei, Jianjun

IEEE journal of biomedical and health informatics

2022 Volume 26, Issue 1, Page(s) 27–35

Abstract: Magnetic resonance imaging (MRI) can provide multi-modality MR images by setting task-specific scan parameters, and has been widely used in various disease diagnosis and planned treatments. However, in practical clinical applications, it is often ... ...

Abstract	Magnetic resonance imaging (MRI) can provide multi-modality MR images by setting task-specific scan parameters, and has been widely used in various disease diagnosis and planned treatments. However, in practical clinical applications, it is often difficult to obtain multi-modality MR images simultaneously due to patient discomfort, and scanning costs, etc. Therefore, how to effectively utilize the existing modality images to synthesize missing modality image has become a hot research topic. In this paper, we propose a novel confidence-guided aggregation and cross-modality refinement network (CACR-Net) for multi-modality MR image synthesis, which effectively utilizes complementary and correlative information of multiple modalities to synthesize high-quality target-modality images. Specifically, to effectively utilize the complementary modality-specific characteristics, a confidence-guided aggregation module is proposed to adaptively aggregate the multiple target-modality images generated from multiple source-modality images by using the corresponding confidence maps. Based on the aggregated target-modality image, a cross-modality refinement module is presented to further refine the target-modality image by mining correlative information among the multiple source-modality images and aggregated target-modality image. By training the proposed CACR-Net in an end-to-end manner, high-quality and sharp target-modality MR images are effectively synthesized. Experimental results on the widely used benchmark demonstrate that the proposed method outperforms state-of-the-art methods.
MeSH term(s)	Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging
Language	English
Publishing date	2022-01-17
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2695320-1
ISSN	2168-2208 ; 2168-2194
ISSN (online)	2168-2208
ISSN	2168-2194
DOI	10.1109/JBHI.2021.3082541
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: [Comparative study on the accuracy of implant-borne single restoration by two production processes with Ti-base].

Cao, Wei-Yu / Cao, Jie / Liu, Bin-Yi / Xu, Zhou / Lu, Wei-Qing

Shanghai kou qiang yi xue = Shanghai journal of stomatology

2023 Volume 31, Issue 4, Page(s) 414–417

Abstract: Purpose: To study on the accuracy of implant-borne single restoration by two production processes with Ti-base to provide experimental data for proper processes of single implant-borne restoration.: Methods: Thirty patients were selected with single ... ...

Abstract	Purpose: To study on the accuracy of implant-borne single restoration by two production processes with Ti-base to provide experimental data for proper processes of single implant-borne restoration. Methods: Thirty patients were selected with single posterior teeth missing from the Department of Oral Implantology of Shanghai Putuo District Eye Disease and Dental Disease Prevention and Treatment Institute. The patients were taken 2 traditional impressions clinically for two plaster model equipped with implant analogue. These models were then divided into 2 groups according to different production processes. The experimental group was scanned with the scan body installed in the model implant analogue, while the control group was scanned directly on the Ti-base abutment installed in the model implant analogue. The implant-borne single restorations of the two groups were cut along the buccal-lingual side and the distance between the measuring point to the Ti-Base abutment was observed by electron microscopy. In addition, the breaking limit of zirconia crown was observed, universal test machine was used to load direct force to the crown. SPSS 22.0 software package was used for data analysis. Results: The gap between the implant-borne single restoration to the Ti-base abutment of the experimental group was significantly smaller than that of the control group. The difference between the two groups was statistically significant (P<0.05). However, by testing the breaking limit of zirconia crown, there was no significant difference(P>0.05). Conclusions: Using scan body to transfer the implant position and Ti-base abutment data information to the digital dental design software is more accurate and reliable than directly scanning the Ti-base on the model analogue. Using scan body is recommended for processing and manufacture of implant-borne singe restoration.
MeSH term(s)	Humans ; Dental Implant-Abutment Design ; Titanium ; China ; Crowns ; Zirconium ; Dental Abutments ; Dental Restoration Failure ; Materials Testing ; Dental Stress Analysis ; Computer-Aided Design
Chemical Substances	zirconium oxide (S38N85C5G0) ; Titanium (D1JT611TNE) ; Zirconium (C6V6S92N3C)
Language	Chinese
Publishing date	2023-01-30
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	2269714-7
ISSN	1006-7248
ISSN	1006-7248
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Article ; Online: Composition-Aware Image Steganography Through Adversarial Self-Generated Supervision.

Zheng, Ziqiang / Hu, Yuanmeng / Bin, Yi / Xu, Xing / Yang, Yang / Shen, Heng Tao

IEEE transactions on neural networks and learning systems

2023 Volume 34, Issue 11, Page(s) 9451–9465

Abstract: Steganography is an important and prevailing information hiding tool to perform secret message transmission in an open environment. Existing steganography methods can mainly fall into two categories: predefined rule-based and data-driven methods. The ... ...

Abstract	Steganography is an important and prevailing information hiding tool to perform secret message transmission in an open environment. Existing steganography methods can mainly fall into two categories: predefined rule-based and data-driven methods. The former is susceptible to the statistical attack, while the latter adopts the deep convolution neural networks to promote security. However, deep learning-based methods suffer from perceptible artificial artifacts or deep steganalysis. In this article, we introduce a novel composition-aware image steganography (CAIS) to guarantee both visual security and resistance to deep steganalysis through the self-generated supervision. The key innovation is an adversarial composition estimation module, which has integrated the rule-based composition method and generative adversarial network to help synthesize steganographic images with more naturalness. We first perform a rule-based image blending method to obtain infinite synthetically data-label pairs. Then, we utilize an adversarial composition estimation branch to recognize the message feature pattern from the composite image based on these self-generated data-label pairs. Through the adversarial training, we force the steganography function to synthesize steganographic images, which can fool the composition estimation network. Thus, the proposed CAIS can achieve better information hiding and higher security to resist deep steganalysis. Furthermore, an effective global-and-part checking is designed to alleviate visual artifacts caused by hiding secret information. We conduct a comprehensive analysis of CAIS from various aspects (e.g., security and robustness) to verify the superior performance of the proposed method. Comprehensive experimental results on three large-scale widely used datasets have demonstrated the superior performance of our CAIS compared with several state-of-the-art approaches.
Language	English
Publishing date	2023-10-27
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2022.3175627
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Influence of circulating nesfatin-1, GSH and SOD on insulin secretion in the development of T2DM

Kangkang Huang / Yunlai Liang / Kun Wang / Jiahui Wu / Huidan Luo / Bin Yi

Frontiers in Public Health, Vol

2022 Volume 10

Abstract: AimsTo evaluate the correlation of nesfatin-1, GSH and SOD levels with β-cell insulin secretion and their influence on insulin secretion in the development of type 2 diabetes mellitus (T2DM).Materials and methods75 patients with T2DM, 67 with prediabetes ...

Abstract	AimsTo evaluate the correlation of nesfatin-1, GSH and SOD levels with β-cell insulin secretion and their influence on insulin secretion in the development of type 2 diabetes mellitus (T2DM).Materials and methods75 patients with T2DM, 67 with prediabetes and 37 heathy participants were recruited in this study. Serum levels of nesfatin-1, GSH and SOD were quantified and statistically analyzed.ResultsThe levels of nesfatin-1, GSH and SOD in T2DM were significantly decreased (P < 0.001) compared to either in prediabetes or in healthy control, and significant reduction of these biomarkers was also observed in prediabetes when compared to the control (P < 0.001). Circulating nesfatin-1, GSH and SOD were not only strongly correlated with β-cell insulin secretion, but also exerted remarkable influence on the secretion.ConclusionSerum nesfatin-1, GSH and SOD are important factors involving insulin secretion in the development of T2DM, which may help provide new ideas for forthcoming investigations on the roles of these factors in pathogenesis of T2DM, as well as for active prediction and prevention of prediabetes before it develops into overt T2DM.
Keywords	type 2 diabetes mellitus ; prediabetes ; GSH ; SOD ; insulin secretion ; Public aspects of medicine ; RA1-1270
Subject code	571
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Cross-modal Consistency Learning with Fine-grained Fusion Network for Multimodal Fake News Detection

Li, Jun / Bin, Yi / Zou, Jie / Wang, Guoqing / Yang, Yang

2023

Abstract: Previous studies on multimodal fake news detection have observed the mismatch between text and images in the fake news and attempted to explore the consistency of multimodal news based on global features of different modalities. However, they fail to ... ...

Abstract	Previous studies on multimodal fake news detection have observed the mismatch between text and images in the fake news and attempted to explore the consistency of multimodal news based on global features of different modalities. However, they fail to investigate this relationship between fine-grained fragments in multimodal content. To gain public trust, fake news often includes relevant parts in the text and the image, making such multimodal content appear consistent. Using global features may suppress potential inconsistencies in irrelevant parts. Therefore, in this paper, we propose a novel Consistency-learning Fine-grained Fusion Network (CFFN) that separately explores the consistency and inconsistency from high-relevant and low-relevant word-region pairs. Specifically, for a multimodal post, we divide word-region pairs into high-relevant and low-relevant parts based on their relevance scores. For the high-relevant part, we follow the cross-modal attention mechanism to explore the consistency. For low-relevant part, we calculate inconsistency scores to capture inconsistent points. Finally, a selection module is used to choose the primary clue (consistency or inconsistency) for identifying the credibility of multimodal news. Extensive experiments on two public datasets demonstrate that our CFFN substantially outperforms all the baselines.
Keywords	Computer Science - Social and Information Networks
Subject code	006
Publishing date	2023-11-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Reversal of cholestatic liver disease by the inhibition of sphingosine 1-phosphate receptor 2 signaling

Huiling Cao / Lin Chen / Ziyang Zeng / Xianfeng Wu / Yuhao Lei / Wen Jia / Guang Yue / Bin Yi / Yu-jie Li / Yuan Shi

PeerJ, Vol 12, p e

2024 Volume 16744

Abstract: Aims The objective of this study is to examine the impact of inhibiting Sphingosine 1-phosphate receptor 2 (S1PR2) on liver inflammation, fibrogenesis, and changes of gut microbiome in the context of cholestasis-induced conditions. Methods The ... ...

Abstract	Aims The objective of this study is to examine the impact of inhibiting Sphingosine 1-phosphate receptor 2 (S1PR2) on liver inflammation, fibrogenesis, and changes of gut microbiome in the context of cholestasis-induced conditions. Methods The cholestatic liver injury model was developed by common bile duct ligation (CBDL). Sprague-Dawley rats were randomly allocated to three groups, sham operation, CBDL group and JTE-013 treated CBDL group. Biochemical and histological assessments were conducted to investigate the influence of S1PR2 on the modulation of fibrogenic factors and inflammatory infiltration. We conducted an analysis of the fecal microbiome by using 16S rRNA sequencing. Serum bile acid composition was evaluated through the utilization of liquid chromatography-mass spectrometry techniques. Results In the BDL rat model, the study findings revealed a significant increase in serum levels of conjugated bile acids, accompanied by an overexpression of S1PR2. Treatment with the specific inhibitor of S1PR2, known as JTE-013, resulted in a range of specific effects on the BDL rats. These effects included the improvement of liver function, reduction of liver inflammation, inhibition of hepatocyte apoptosis, and suppression of NETosis. These effects are likely mediated through the TCA/S1PR2/NOX2/NLRP3 pathway. Furthermore, the administration of JTE-013 resulted in an augmentation of the diversity of the bacterial community’s diversity, facilitating the proliferation of advantageous species while concurrently inhibiting the prevalence of detrimental bacteria. Conclusions The results of our study suggest that the administration of JTE-013 may have a beneficial effect in alleviating cholestatic liver disease and restoring the balance of intestinal flora.
Keywords	Sphingosine 1-phosphate receptor 2 ; Cholestatic liver disease ; Conjugated bile acid ; Gut microbiome ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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