Publications by authors named "Zhenhua Wang"

390 Publications

Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China.

Foods 2022 Jun 9;11(12). Epub 2022 Jun 9.

Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing 100048, China.

Rice's geographic origin and variety play a vital role in commercial rice trade and consumption. However, a method for rapidly discriminating the geographical origins of rice from a different region is still lacking. Therefore, the current study developed a volatile organic compound (VOC) based geographical discrimination method using headspace gas chromatography-mass spectrometry (HS-GC-MS) to discriminate rice samples from Heilongjiang, Jilin, and Liaoning provinces. The rice VOCs in Heilongjiang, Liaoning, and Jilin were analyzed by agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA). The results show that the optimum parameters for headspace solid phase microextraction (HS-SPME) involved the extraction of 3.0 g of rice at 80 °C within 40 min. A total of 35 VOCs were identified from 30 rice varieties from Northeast China. The PLS-DA model exhibited good discrimination (R = 0.992, Q = 0.983, and Accuracy = 1.0) for rice samples from Heilongjiang, Liaoning, and Jilin. Moreover, K-nearest neighbors showed good specificity (100%) and accuracy (100%) in identifying the origin of samples. In conclusion, the present study established VOC fingerprinting as a highly efficient approach to identifying rice's geographical origin. Our findings highlight the ability to discriminate rice from Heilongjiang, Liaoning, and Jilin provinces rapidly.
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http://dx.doi.org/10.3390/foods11121695DOI Listing
June 2022

The effect of dietary awareness on household food waste.

Waste Manag Res 2022 Jun 20:734242X221105435. Epub 2022 Jun 20.

The College of Economics and Management, Zhejiang A&F University, Hangzhou, China.

How to reduce household food waste has emerged as an important issue worldwide. Considering the potential endogeneity issue, the present study utilizes the treatment effects model to analyse the effect of dietary awareness on household food waste using data from China. The results showed that improving dietary awareness could significantly increase household food waste overall. However, this impact is heterogeneous among households of different characteristics. Improving dietary awareness leads to more food waste for households with young and old food decision-makers, but contributes to less food waste for households of middle-aged makers. Also, the positive effect of dietary awareness on household food waste weakens as income increases. These findings propose a new perspective to understand the heterogeneity in household food waste in the context of dietary awareness promotion.
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http://dx.doi.org/10.1177/0734242X221105435DOI Listing
June 2022

Experiments about the removal of supersaturated total dissolved gas from water environment by activated carbon adsorption.

Environ Sci Pollut Res Int 2022 Jun 10. Epub 2022 Jun 10.

State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, 610065, Sichuan, China.

Water environment conditions directly support aquatic life. It is important to maintain a suitable water environment to improve the efficient use of water resources. Supersaturation of total dissolved gas (TDG) in the water will cause fish suffer from gas bubble disease and even mortalities. Measures should be taken to mitigate the adverse effect of supersaturated TDG. Considering the adsorption effect of porous medium, activated carbon (AC) was utilized in this experiment to explore the effect of AC on supersaturated TDG removal. The effects of AC properties, AC dosage, and initial TDG saturation were investigated. The results showed that adding AC in the water could effectively accelerate the supersaturated TDG removal rate, which was positively correlated with the AC specific surface area and dosage. Meanwhile, the average dissipation rate of TDG increased and then decreased with increasing initial TDG saturation. The adsorption characteristics of AC on supersaturated TDG were also explored. The maximum equilibrium adsorption capacity and removal rate were 0.262 mg/g and 48.5% respectively. It was concluded that the adsorption process of AC on supersaturated TDG conformed to the Langmuir equation and pseudo-first-order kinetic model. Recycling test indicated that the used AC could be reused after drying. It was hoped that this research could contribute to improving water environment and ensuring the healthy development of the aquatic livings.
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http://dx.doi.org/10.1007/s11356-022-21181-2DOI Listing
June 2022

Prediction model and application of machine learning for supersaturated total dissolved gas generation in high dam discharge.

Water Res 2022 Jul 28;220:118682. Epub 2022 May 28.

State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, Sichuan, 610065, China.

Supersaturation of total dissolved gas (TDG) caused by high dam discharge is an ecological risk that cannot be ignored in the operation of hydropower stations. The establishment of an efficient and concise TDG generation prediction model is of great significance to the water ecology and water environment protection of hydropower development reaches. The flow conditions and the process of water-gas mass transfer in discharge and energy dissipation are very complicated and difficult to observe in the field, bringing difficulties to the establishment of prediction model and parameter calibration. Increasingly abundant observations make it possible to establish an efficient machine learning prediction model for supersaturated TDG. In this study, extreme learning machine (ELM) and support vector regression (SVR) were used to establish the prediction model. The main influencing factors of supersaturated TDG, obtained by the analysis of the physical process of the generation of supersaturated TDG, were used as the input of the machine learning model. Then, this research took Dagangshan hydropower station and Xiluodu hydropower station as objects, and established machine learning prediction model for supersaturated TDG with several years of observation data in different discharge scenarios. Four models, including ELM, SVR, GA-ELM and GA-SVR, were obtained through genetic algorithm optimization. The relative errors of the simulation results of each model are mostly less than 5%, mean absolute error (MAE) values less than 1.6%, and root mean square error (RMSE) values less than 2.5%. The results showed that these models are highly accurate and time-saving. Based on this, TDG saturation in downstream of Dagangshan hydropower station with different discharge scenarios was simulated by machine learning model, on which the discharge optimization scheme was put forward. The proposed models, as an important supplement to the prediction of supersaturated TDG, enjoy practical significance and engineering value.
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http://dx.doi.org/10.1016/j.watres.2022.118682DOI Listing
July 2022

Cost-effectiveness analysis of vonoprazan versus proton pump inhibitors in the treatment of reflux esophagitis in China.

Ann Transl Med 2022 Apr;10(8):480

Medical Decision and Economic Group, Department of Pharmacy, Ren Ji Hospital, South Campus, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

Background: Proton pump inhibitors (PPIs) have been recommended as standard of care for reflux esophagitis (RE). Vonoprazan (VPZ), a novel potassium-competitive acid blocker (P-CAB), has been approved in China after demonstrating clinical benefit in RE. However, there are not any published literature reported the cost-effectiveness of VPZ compared with PPI in Chinese healthcare setting. Thus, this study aimed to estimate the cost-effectiveness of VPZ compared with PPIs for the treatment of RE patients in China and take advantage of this result to inform healthcare decision-making.

Methods: A Markov model was developed to predict the effectiveness and costs of VPZ for 4 weeks and PPI group for 8 weeks in RE treatment over a 5-year time horizon from a healthcare system perspective. Four health states within healing and maintenance phases were defined in the model: mucosa healed, mucosa unhealed, relapse, and death. Transition probabilities including healing rate and relapse rate were derived from a single-arm meta-analysis and mortality were obtained from Chinese life table. Drug costs and other medical expenses were retrieved from China tendering prices and local clinical expert estimation. Utility parameters were derived from published literature. Both health outcomes and costs were discounted at a rate of 5% annually. Quality-adjusted life years (QALYs), direct medical costs and incremental cost-effectiveness ratios were evaluated. Uncertainty was assessed by one-way and probabilistic sensitivity analysis (PSA).

Results: The healing rate for VPZ and PPI were 90% (95% CI: 82-97%) and 74% (95% CI: 71-76%) at week 4 respectively and were 94% (95% CI: 88-99%) and 87% (95% CI: 85-88%) at week 8 respectively. Treatment with VPZ resulted in 4.35 QALYs at a total cost of USD 1,354 over 5 years. Compared with the PPI group, treating RE with VPZ was associated with 0.02 QALYs gained and a cost saving of USD 943. Thus, VPZ should be considered as the dominant treatment option. The model results were deemed robust in sensitivity analyses.

Conclusions: VPZ generates incremental QALYs at a lower cost compared with PPI, thus could be considered as an optional choice in the treatment of patients with RE.
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http://dx.doi.org/10.21037/atm-22-1722DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096411PMC
April 2022

Deepened snow loosens temporal coupling between plant and microbial N utilization and induces ecosystem N losses.

Glob Chang Biol 2022 May 14. Epub 2022 May 14.

State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.

Seasonal differences in plant and microbial nitrogen (N) acquisition are believed to be a major mechanism that maximizes ecosystem N retention. There is also a concern that climate change may interrupt the delicate balance in N allocation between plants and microbes. Yet, convincing experimental evidence is still lacking. Using a N tracer, we assessed how deepened snow affects the temporal coupling between plant and microbial N utilization in a temperate Mongolian grassland. We found that microbial N recovery peaked in winter, accounting for 22% of the total ecosystem N recovery, and then rapidly declined during the spring thaw. By stimulating N loss via N O emission and leaching, deepened snow reduced the total ecosystem N recovery by 42% during the spring thaw. As the growing season progresses, the N released from microbial biomass was taken up by plants, and the competitive advantage for N shifted from microbes to plants. Plant N recovery reached its peak in August, accounting for 17% of the total ecosystem N recovery. The Granger causality test showed that the temporal dynamics of plant N recovery can be predicted by microbial N recovery under ambient snow but not under deepened snow. In addition, plant N recovery in August was positively correlated with and best explained by microbial N recovery in March. The lower microbial N recovery under deepened snow in March reduced plant N recovery by 73% in August. Together, our results provide direct evidence of seasonal differences in plant and microbial N utilization that are conducive to ecosystem N retention; however, deepened snow disrupted the temporal coupling between plant-microbial N use and turnover. These findings suggest that changes in snowfall patterns may significantly alter ecosystem N cycling and N-based greenhouse gas emissions under future climate change. We highlight the importance of better representing winter processes and their response to winter climate change in biogeochemical models when assessing N cycling under global change.
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http://dx.doi.org/10.1111/gcb.16234DOI Listing
May 2022

Novel Soy Peptide CBP: Stimulation of Osteoblast Differentiation via TβRI-p38-MAPK-Depending RUNX2 Activation.

Nutrients 2022 May 5;14(9). Epub 2022 May 5.

College of Life Science, Yantai University, Yantai 264000, China.

DEDEQIPSHPPR, the calcium-binding peptide (CBP) identified in soy yogurt, was proven to be a potential cofactor in osteoporosis prevention in our previous study, but the mechanism was unknown. In this study, the activity of alkaline phosphatase (ALP) and osteocalcin (OCN), the regulation of RUNX2, and the expression of TβRI were investigated to elucidate the underlying mechanism. The results show that CBP upregulated ALP activity and OCN concentration and increased the expression of RUNX2 and the activation of the MAPK signaling pathway. Similarly, the expression of osteogenesis-related genes in osteoblasts also increased upon CBP treatment. Moreover, the CBP-induced enhancement of ALP activity and phosphorylation levels in the p38 pathway was inhibited by treatment with a p38 inhibitor (SB203538) and TβRI inhibitor (SB431542), respectively, suggesting that p38 and TβRI were involved in the osteogenic action. Based on the signaling pathways, the intracellular calcium concentration was significantly elevated by CBP, which was correlated with the increased behavioral functions and the relative fluorescence intensity of the bone mass. These findings suggest that CBP stimulates osteoblast differentiation and bone mineralization through the activation of RUNX2 via mechanisms related to the TβRI-p38-MAPK signaling pathways, further highlighting CBP's important potential for treating osteoporosis.
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http://dx.doi.org/10.3390/nu14091940DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105634PMC
May 2022

Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution.

IEEE Trans Neural Netw Learn Syst 2022 May 13;PP. Epub 2022 May 13.

Named entity disambiguation (NED) finds the specific meaning of an entity mention in a particular context and links it to a target entity. With the emergence of multimedia, the modalities of content on the Internet have become more diverse, which poses difficulties for traditional NED, and the vast amounts of information make it impossible to manually label every kind of ambiguous data to train a practical NED model. In response to this situation, we present MMGraph, which uses multimodal graph convolution to aggregate visual and contextual language information for accurate entity disambiguation for short texts, and a self-supervised simple triplet network (SimTri) that can learn useful representations in multimodal unlabeled data to enhance the effectiveness of NED models. We evaluated these approaches on a new dataset, MMFi, which contains multimodal supervised data and large amounts of unlabeled data. Our experiments confirm the state-of-the-art performance of MMGraph on two widely used benchmarks and MMFi. SimTri further improves the performance of NED methods. The dataset and code are available at https://github.com/LanceZPF/NNED_MMGraph.
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http://dx.doi.org/10.1109/TNNLS.2022.3173179DOI Listing
May 2022

SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning.

Med Image Anal 2022 07 22;79:102459. Epub 2022 Apr 22.

School of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.

Coronavirus disease (COVID-19) broke out at the end of 2019, and has resulted in an ongoing global pandemic. Segmentation of pneumonia infections from chest computed tomography (CT) scans of COVID-19 patients is significant for accurate diagnosis and quantitative analysis. Deep learning-based methods can be developed for automatic segmentation and offer a great potential to strengthen timely quarantine and medical treatment. Unfortunately, due to the urgent nature of the COVID-19 pandemic, a systematic collection of CT data sets for deep neural network training is quite difficult, especially high-quality annotations of multi-category infections are limited. In addition, it is still a challenge to segment the infected areas from CT slices because of the irregular shapes and fuzzy boundaries. To solve these issues, we propose a novel COVID-19 pneumonia lesion segmentation network, called Spatial Self-Attention network (SSA-Net), to identify infected regions from chest CT images automatically. In our SSA-Net, a self-attention mechanism is utilized to expand the receptive field and enhance the representation learning by distilling useful contextual information from deeper layers without extra training time, and spatial convolution is introduced to strengthen the network and accelerate the training convergence. Furthermore, to alleviate the insufficiency of labeled multi-class data and the long-tailed distribution of training data, we present a semi-supervised few-shot iterative segmentation framework based on re-weighting the loss and selecting prediction values with high confidence, which can accurately classify different kinds of infections with a small number of labeled image data. Experimental results show that SSA-Net outperforms state-of-the-art medical image segmentation networks and provides clinically interpretable saliency maps, which are useful for COVID-19 diagnosis and patient triage. Meanwhile, our semi-supervised iterative segmentation model can improve the learning ability in small and unbalanced training set and can achieve higher performance.
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http://dx.doi.org/10.1016/j.media.2022.102459DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027296PMC
July 2022

Catalytic Mechanism of Oxygen Vacancies in Perovskite Oxides for Lithium-Sulfur Batteries.

Adv Mater 2022 May 9:e2202222. Epub 2022 May 9.

Beijing Key Laboratory for Chemical Power Source and Green Catalysis, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, China.

Defective materials have been demonstrated to possess adsorptive and catalytic properties in lithium-sulfur (Li-S) batteries, which can effectively solve the problems of lithium polysulfides (LiPSs) shuttle and sluggish conversion kinetics during charging and discharging of Li-S batteries. However, there is still a lack of research on the quantitative relationship between the defect concentration and the adsorptive-catalytic performance of the electrode. In this work, perovskites Sr Ti Mn O (STMn ) (x = 0.1-0.3) with different oxygen-vacancy concentrations are quantitatively regulated as research models. Through a series of tests of the adsorptive property and electrochemical performance, a quantitative relationship between oxygen-vacancy concentration and adsorptive-catalytic properties is established. Furthermore, the catalytic mechanism of oxygen vacancies in Li-S batteries is investigated using density functional theory calculations and in situ experiments. The increased oxygen vacancies can effectively increase the binding energy between perovskite and LiPSs, reduce the energy barrier of LiPSs decomposition reaction, and promote LiPSs conversion reaction kinetics. Therefore, the perovskite STMn  with high oxygen-vacancy concentrations exhibits excellent LiPSs adsorptive and catalytic properties, realizing high-efficiency Li-S batteries. This work is helpful to realize the application of the quantitative regulation strategy of defect engineering in Li-S batteries.
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http://dx.doi.org/10.1002/adma.202202222DOI Listing
May 2022

Event-Triggered Adaptive Output-Feedback Control of Switched Stochastic Nonlinear Systems With Actuator Failures: A Modified MDADT Method.

IEEE Trans Cybern 2022 May 9;PP. Epub 2022 May 9.

This article investigates the adaptive event-triggered output-feedback control problem for a class of switched stochastic nonlinear systems with actuator faults. In the existing works, the developed results on adaptive control for switched stochastic nonlinear systems are almost based on the average dwell-time method, and how to construct a desired adaptive controller in the frame of the mode-dependent average dwell time (MDADT) remains a control dilemma. By presenting a general adaptive control rule based on the MDADT, this article implements the adaptive output-feedback control for the switched stochastic system under interest. In the process of controller design, fuzzy-logic systems, a flexible approximator, are utilized to approximate the unknown nonlinear functions. The dynamic surface design approach is employed to avoid taking derivatives of the constructed virtual controls to decrease the difficulty of complex calculation greatly. Meanwhile, a switched observer is designed to estimate the unknown states. In the frame of backstepping design, an event-triggered-based adaptive output-feedback controller is constructed such that all signals existing in the closed-loop system are ultimately bounded under a class of switching signals with MDADT property. Finally, the simulation results show the validity of the proposed control strategy.
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http://dx.doi.org/10.1109/TCYB.2022.3169142DOI Listing
May 2022

Insights into the Interactions Between Root Phenotypic Traits and the Rhizosphere Bacterial Community.

Curr Microbiol 2022 Apr 30;79(6):176. Epub 2022 Apr 30.

China Tobacco Gene Research Center, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, 450001, China.

The root phenotypic traits have been considered as important factors in shaping the rhizosphere microbiome and regulating plant growth. However, the relationships between root phenotypic traits and the rhizosphere bacterial community remain unclear. We investigated two fields with different developing tobacco roots by a long-term positioning test in Hengshi. The well-developed root system (WDR) showed much more superiority in root phenotypic traits, including total root length, total projection area, surface area, and root tip number, than the underdeveloped root system. The specific root traits in WDR provided more ecological niches for the rhizosphere microorganisms, contributing to a more diverse microbial community and a more complex microbial network. The total root length and root tip number were the key factors shaping bacterial communities in the rhizosphere. In turn, the phyla Acidobacteria and Bacteroidetes might play vital roles in modifying root development and promoting plant growth according to their positive correlation with root phenotypic traits. Linking root phenotypic traits to the microbiome may enhance our understanding of rhizospheric interactions and their roles in developing rhizosphere ecosystems.
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http://dx.doi.org/10.1007/s00284-022-02870-0DOI Listing
April 2022

Nutritional value and bioaccumulation of heavy metals in nine commercial fish species from Dachen Fishing Ground, East China Sea.

Sci Rep 2022 04 28;12(1):6927. Epub 2022 Apr 28.

College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China.

The study evaluated the nutritional quality in muscle tissues of nine commercially important marine fish species. And the concentrations of trace metals (i.e. As, Hg, Cu, Pb, Cr, Cd and Zn) in the muscles (edible part) and tissues (gill and liver) of fishes caught from Dachen fishing ground, the coast of Zhejiang Province, East China Sea, were determined, and the values of target hazard quotient (THQ) and the carcinogenic risk (TR) were calculated for assessing human health risk. Significant differences(P < 0.05) were observed in the proximate chemical composition of fish muscles in these species. The muscle protein content of fish species ranged from 12.36 to 23.41%. The muscle lipid content of fishes ranged from 0.48 to 2.54%. The accumulation capacity of heavy metals (except Cr) in livers and gills was higher than that in muscles. In addition, the accumulation ability of most fishes is related to the water layer they live, the fishes living in the demersal layer showed more accumulation of heavy metals than the middle-upper layer(except Cu). Estimated daily intake (EDI), target hazard quotient (THQ), hazard index (HI) and the carcinogenic risk (TR) assessed for potential human health risk implications suggest that the values were within the acceptable threshold for human. However, the carcinogenic risk(TR) of As and Cr was close to the critical limit (10). Therefore, in order to ensure the health and safety of human consumption, the continuous monitoring of heavy metals in Dachen fishing ground area is suggested.
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http://dx.doi.org/10.1038/s41598-022-10975-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9050650PMC
April 2022

Pre-existing hypertension is associated with poor progression-free survival in newly diagnosed multiple myeloma patients.

J Thromb Thrombolysis 2022 Apr 20. Epub 2022 Apr 20.

Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, 415 Fengyang Road, Shanghai, 200003, China.

Approximately 31% of patients diagnosed with multiple myeloma (MM) have pre-existing hypertension, but its effects on patient survival have not been investigated. We collected data from 228 newly diagnosed patients with MM and found that 71 (31.1%) had pre-existing hypertension. The impact of pre-existing hypertension on MM patients was determined by evaluating progression-free survival (PFS). Kaplan-Meier analyses revealed a significantly lower PFS in the pre-existing hypertension group than their non-hypertensive counterparts (median 22.6 vs 34.8 months, respectively). The multivariable Cox proportional hazards model showed that pre-existing hypertension was an independent risk factor for PFS reduction in MM patients. Moreover, the risk of disease progression in MM patients with pre-existing hypertension was higher than in non-hypertension comparator patients (hazard ratio 1.735, 95% confidence interval 1.261-2.387). In MM patients with pre-existing hypertension, Kaplan-Meier analyses found that those with a higher risk of hypertension had a significantly shorter PFS than those with lower risk (median 19.3 vs 25.4 months, respectively). However, multivariate Cox regression analysis showed that the risk stratification of hypertension was not an independent risk factor for poor PFS in MM patients with pre-existing hypertension. Our study demonstrates that pre-existing hypertension was significantly associated with a lower PFS in newly diagnosed MM patients.
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http://dx.doi.org/10.1007/s11239-022-02653-1DOI Listing
April 2022

Preparative isolation of maltol glycoside from and its anti-inflammatory activity .

RSC Adv 2022 Feb 9;12(8):5031-5041. Epub 2022 Feb 9.

Center for Mitochondria and Healthy Aging, College of Life Sciences, Yantai University Yantai 264005 China +86-535-6902638 +86-535-6902638.

is a traditional Chinese medicine that is commonly utilized as a treatment for inflammation, pain, and immunological conditions. In this study, an anti-inflammatory maltol glycoside derived from was isolated for the first time medium and high-pressure liquid chromatography, and at the same time, the anti-inflammatory activity of this maltol glycoside was preliminarily explored. Initially, crude samples of were preprocessed MCI GEL® CHP20P and Spherical C18 medium-pressure chromatography, under the guidance of evaluation of anti-inflammatory activity. Fr44 was found to be the target fraction, and it was further isolated two-dimensional reversed-phase/hydrophilic interaction liquid chromatography, yielding > 95% pure and was identified as tunicoside B. MTT assay, nitric oxide and nitric oxide synthase were used to evaluate the effects of tunicoside B on murine macrophage Raw264.7 by nitric oxide synthase assay kit, molecular docking, and western blotting. The results showed that tunicoside B did not affect the viability of cells and exhibited significant anti-inflammatory activity. As far as we know, this is the first report of tunicoside B from and the first study on the anti-inflammatory activity of tunicoside B. More importantly, the approach established in this study is expected to provide a theoretical basis for the separation and pharmacological activity study of maltol glycosides from other natural products.
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http://dx.doi.org/10.1039/d1ra07273kDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981254PMC
February 2022

Promoting and inhibiting: Corporate charitable donations and innovation investment under different motivation orientations--Evidence from Chinese listed companies.

PLoS One 2022 13;17(4):e0266199. Epub 2022 Apr 13.

Business School, Hohai University, Nanjing, Jiangsu, China.

Corporate charitable donations under different motivations will have different effects on innovation investment through different action paths, which provides a new perspective to solve the inconsistency of existing research results. Based on the resource-dependent and principal-agent theories, this paper compares and discusses the relationship between charitable donations and innovation investment under different motivations. Using 2008 ~2019 relevant data of listed companies as research samples, a mixed regression model is established for the hypothesis test, and further examines the state-ownership of its moderating role. The results show that the altruistic motivation-oriented corporate donations have a significant inverted u-shaped effect on innovation investment. The tool motivation-oriented corporate donations have a significant U-shaped effect on innovation investment. Moreover, it is further found that for ST (Special Treatment) corporates with the risk of delisting in the tool motivation-oriented charitable donations type, the corporate charitable donations have a significant negative effect on innovation investment. State-ownership can enhance the inverted U-shaped relationship between altruistic motivation-oriented corporate donations and innovation investment but weaken the U-shaped relationship between tool motivation-oriented corporate donations and innovation investment.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266199PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007372PMC
April 2022

Health-related quality of life among Chinese patients with Crohn's disease: a cross-sectional survey using the EQ-5D-5L.

Health Qual Life Outcomes 2022 Apr 12;20(1):62. Epub 2022 Apr 12.

Division of Gastroenterology and Hepatology, NHC Key Laboratory of Digestive Diseases, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, State Key Laboratory for Oncogenes and Related Genes, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 145 Middle Shandong Rd, Shanghai, 200001, China.

Background: Crohn's disease (CD) is a chronic disease that may have an adverse impact on health-related quality of life (HRQoL). This study aimed to describe the HRQoL of CD patients and assess correlating factors using the EQ-5D-5L in China.

Methods: We recruited CD patients at Shanghai Renji Hospital from October 2018 to May 2019. The data collected included demographic and clinical information, medical expenditures, and EQ-5D-5L questionnaire responses. The chi-square test or Fisher's exact test was applied to analyse the proportion of patients in subgroups at each level. After the selection of correlating variables by univariate analysis, multivariate regression analyses were used to explore the correlating factors of HRQoL in CD patients.

Results: A total of 202 CD inpatients with a mean disease duration of 3.3 years were enrolled in the study. A total of 71.8% of patients were males, and 49.5% of patients were aged between 30 and 49 years. The average EQ-5D-5L utility score was 0.85, with a standard deviation (SD) of 0.12. Males, ileum lesions, remission status, and lower expenditure predicted higher EQ-5D-5L scores. In each EQ-5D-5L dimension, the proportion of patients differed significantly by gender, disease activity and location subgroup. In the multivariate regression models, being in an active CD state and using antibiotics had significantly adverse impacts on HRQoL (p < 0.05).

Conclusions: CD may have a significant negative impact on HRQoL in Chinese CD patients. Being in an active phase of the disease and using antibiotics were identified as affecting HRQoL.
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http://dx.doi.org/10.1186/s12955-022-01969-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003980PMC
April 2022

A Three-Year Plant Study of Salt-Tolerant Transgenic Maize Showed No Effects on Soil Enzyme Activity and Nematode Community.

Life (Basel) 2022 Mar 11;12(3). Epub 2022 Mar 11.

Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Department of Agriculture, Northeast Agricultural University, No. 600 Changjiang Street, Xiangfang District, Harbin 150030, China.

The environmental effects of genetically modified crops are now a global concern. It is important to monitor the potential environmental impact of transgenic corn after commercial release. In rhizosphere soil, plant roots interact with soil enzymes and microfauna, which can be affected by the transgenes of genetically modified crops. To determine the long-term impact of transgenic plant cultivation, we conducted a field study for 3 consecutive years (2018-2020) and observed the enzyme activities and nematode populations in plots planted with transgenic maize BQ-2, non-transgenic wild-type maize (Qi319), and inbred line B73. We took soil samples from three cornfields at four different growth stages (V3, V9, R1, and R6 stages); determined soil dehydrogenase, urease, and sucrase activities; and collected and identified soil nematodes to the genus level. The results demonstrated seasonal variations in dehydrogenase, urease, and sucrase activities. However, there was a consistent trend of change. The generic composition and diversity indices of the soil nematodes did not significantly differ, although significant seasonal variation was found in the individual densities of the principal trophic groups and the diversity indices of the nematodes in all three cornfields. The results of the study suggest that a 3-year cultivation of transgenic corn had no significant effects on soil enzyme activity and the soil nematode community. This study provides a theoretical basis for the environmental impact monitoring of transgenic corn.
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http://dx.doi.org/10.3390/life12030412DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948860PMC
March 2022

Genome-Wide Profiling of Alternative Splicing and Gene Fusion during Rice Black-Streaked Dwarf Virus Stress in Maize ( L.).

Genes (Basel) 2022 03 2;13(3). Epub 2022 Mar 2.

Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Department of Agriculture, Northeast Agricultural University, Harbin 150030, China.

Rice black-streaked dwarf virus (RBSDV) causes maize rough dwarf disease (MRDD), which is a viral disease that significantly affects maize yields worldwide. Plants tolerate stress through transcriptional reprogramming at the alternative splicing (AS), transcriptional, and fusion gene (FG) levels. However, it is unclear whether and how AS and FG interfere with transcriptional reprogramming in MRDD. In this study, we performed global profiling of AS and FG on maize response to RBSDV and compared it with transcriptional changes. There are approximately 1.43 to 2.25 AS events per gene in maize infected with RBSDV. was only detected in four AS modes (A3SS, A5SS, RI, and SE), whereas showed downregulated expression and four AS events. A total of 106 and 176 FGs were detected at two time points, respectively, including six differentially expressed genes and five differentially spliced genes. The gene was the only FG that occurred at two time points and was involved in two FG events. Among these, 104 GOs were enriched, indicating that nodulin-, disease resistance-, and chloroplastic-related genes respond to RBSDV stress in maize. These results provide new insights into the mechanisms underlying post-transcriptional and transcriptional regulation of maize response to RBSDV stress.
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http://dx.doi.org/10.3390/genes13030456DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955601PMC
March 2022

Ultra-Robust and Extensible Fibrous Mechanical Sensors for Wearable Smart Healthcare.

Adv Mater 2022 May 11;34(20):e2107511. Epub 2022 Apr 11.

Frontiers Science Center for Flexible Electronics (FSCFE) & Institute of Flexible Electronics (IFE), Northwestern Polytechnical University, Xi'an, 710072, China.

Fibrous material with high strength and large stretchability is an essential component of high-performance wearable electronic devices. Wearable electronic systems require a material that is strong to ensure durability and stability, and a wide range of strain to expand their applications. However, it is still challenging to manufacture fibrous materials with simultaneously high mechanical strength and the tensile property. Herein, the ultra-robust (≈17.6 MPa) and extensible (≈700%) conducting microfibers are developed and demonstrated their applications in fabricating fibrous mechanical sensors. The mechanical sensor shows high sensitivity in detecting strains that have high strain resolution and a large detection range (from 0.0075% to 400%) simultaneously. Moreover, low frequency vibrations between 0 and 40 Hz are also detected, which covers most tremors that occur in the human body. As a further step, a wearable and smart health-monitoring system has been developed using the fibrous mechanical sensor, which is capable of monitoring health-related physiological signals, including muscle movement, body tremor, wrist pulse, respiration, gesture, and six body postures to predict and diagnose diseases, which will promote the wearable telemedicine technology.
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http://dx.doi.org/10.1002/adma.202107511DOI Listing
May 2022

Analysis of the role and mechanism of EGCG in septic cardiomyopathy based on network pharmacology.

PeerJ 2022 9;10:e12994. Epub 2022 Mar 9.

Department of Cardiovascular, The Second Affiliated Hospital of Nanchang University, Nan Chang, China.

Background: Septic cardiomyopathy (SC) is a common complication of sepsis that leads to an increase in mortality. The pathogenesis of septic cardiomyopathy is unclear, and there is currently no effective treatment. EGCG (epigallocatechin gallate) is a polyphenol that has anti-inflammatory, antiapoptotic, and antioxidative stress effects. However, the role of EGCG in septic cardiomyopathy is unknown.

Methods: Network pharmacology was used to predict the potential targets and molecular mechanisms of EGCG in the treatment of septic cardiomyopathy, including the construction and analysis of protein-protein interaction (PPI) network, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and molecular docking. The mouse model of septic cardiomyopathy was established after intraperitoneal injection of LPS (lipopolysaccharide). The myocardial protective effect of EGCG on septic mice is observed by cardiac ultrasound and HE staining. RT-PCR is used to verify the expression level of the EGCG target in the septic cardiomyopathy mouse model.

Results: A total of 128 anti-SC potential targets of EGCGareselected for analysis. The GO enrichment analysis and KEGG pathway analysis results indicated that the anti-SC targets of EGCG mainly participate in inflammatory and apoptosis processes. Molecular docking results suggest that EGCG has a high affinity for the crystal structure of six targets (IL-6 (interleukin-6), TNF (tumor necrosis factor), Caspase3, MAPK3 (Mitogen-activated protein kinase 3), AKT1, and VEGFA (vascular endothelial growth factor)), and the experimental verification result showed levated expression of these 6 hub targets in the LPS group, but there is an obvious decrease in expression in the LPS + EGCG group. The functional and morphological changes found by echocardiography and HE staining show that EGCG can effectively improve the cardiac function that is reduced by LPS.

Conclusion: Our results reveal that EGCG may be a potentially effective drug to improve septic cardiomyopathy. The potential mechanism by which EGCG improves myocardial injury in septic cardiomyopathy is through anti-inflammatory and anti-apoptotic effects. The anti-inflammatory and anti-apoptotic effects of EGCG occur not only through direct binding to six target proteins (IL-6,TNF-α, Caspase3, MAPK3, AKT1, and VEGFA) but also by reducing their expression.
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http://dx.doi.org/10.7717/peerj.12994DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917800PMC
March 2022

The Temporal and Spatial Changes of Health Inequality in Rural China.

Front Public Health 2022 10;10:821384. Epub 2022 Feb 10.

College of Economics and Management, Shenyang Agricultural University, Shenyang, China.

This article estimates the temporal and spatial changes of health inequality in rural China from 2010 to 2018. Based on a panel database of 29,616 rural residents, the Health Utility Index (HUI) and a spatial econometric model are used for analysis. The results show that, on the temporal dimension, the health inequality of rural China first expands and then deflates. On the spatial dimension, the health inequality gradually deflates from eastern to western China. Furthermore, from 2010 to 2018, the high and low-value areas constantly changed among different provinces. After decomposing the causes of health inequality, it is found that behind the health inequality is the difference of socioeconomic-related status. Moreover, narrowing the difference in socioeconomic-related status is the key to improving health inequality.
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http://dx.doi.org/10.3389/fpubh.2022.821384DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866232PMC
April 2022

Computational research of Belnacasan and new Caspase-1 inhibitor on cerebral ischemia reperfusion injury.

Aging (Albany NY) 2022 02 22;14(4):1848-1864. Epub 2022 Feb 22.

Department of Neurosurgery, The First Hospital of Jilin University, Changchun, China.

Cerebral ischemia-reperfusion injury is one of the most severe diseases in terms of mortality and disability, which seriously threatens human life and health. In clinical treatment, drug thrombolysis or mechanical interventional thrombolysis are used to quickly restore the blood supply of ischemic brain tissue. But with the rapid recovery of blood flow, complex pathophysiological processes such as oxidative stress and inflammation will further aggravate brain tissue damage, namely cerebral ischemia-reperfusion injury, for which there is no effective treatment. Recent studies have shown that the medical community has paid the role of inflammation and pyroptosis in cerebral ischemia-reperfusion injury more and more attention. And Caspase-1 was found to play a vital role in regulating inflammation pathways and pyroptosis in many inflammation-associated diseases, especially in cerebral ischemia-reperfusion injury. Not only that, Caspase-1 inhibitors have been shown to reduce the damage of cerebral ischemia-reperfusion injury by inhibiting inflammation and pyroptosis. And the Caspase-1 inhibitor, Belnacasan, has been proved to modify the active site of Caspase-1 and lead to the blocking of Caspase-1, thus correlating with tissue protection of inflammatory diseases in animal models. Therefore, it's essential to screen and design potential Caspase-1 inhibitors to reduce cerebral ischemia-reperfusion injury and protect brain function by reducing inflammation and pyroptosis, which provides a new idea for clinical treatment of the cerebral ischemia-reperfusion injury. This study applied a group of computer-aided technology, such as Discovery Studio 4.5, Schrodinger, and PyMol, to screen and assess potential Caspase-1 inhibitors. Moreover, the ADME (absorption, distribution, metabolism, excretion) and TOPKAT (Toxicity Prediction by Computer Assisted Technology) molecules of Discovery Studio 4.5 were conducted to evaluate molecules' pharmacological and toxicological features. Then, precise molecular docking was applied to assess the binding mechanism and affinity between Caspase-1 and selected compounds. Besides, molecular dynamics simulations were performed to determine the stability of ligand-receptor complexes in the natural environment. In summary, this study lists promising drug candidates and their pharmacological properties, promoting the development of Caspase-1 inhibitors and deepening the understanding of the interaction between inhibitors and Caspase-1.
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http://dx.doi.org/10.18632/aging.203907DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908936PMC
February 2022

High-Throughput Continuous-Flow Separation in a Micro Free-Flow Electrophoresis Glass Chip Based on Laser Microfabrication.

Sensors (Basel) 2022 Feb 1;22(3). Epub 2022 Feb 1.

Engineering Research Center for Nanophotonics and Advanced Instrument, School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.

Micro free-flow electrophoresis (μFFE) provides a rapid and straightforward route for the high-performance online separation and purification of targeted liquid samples in a mild manner. However, the facile fabrication of a μFFE device with high throughput and high stability remains a challenge due to the technical barriers of electrode integration and structural design for the removal of bubbles for conventional methods. To address this, the design and fabrication of a high-throughput μFFE chip are proposed using laser-assisted chemical etching of glass followed by electrode integration and subsequent low-temperature bonding. The careful design of the height ratio of the separation chamber and electrode channels combined with a high flow rate of buffer solution allows the efficient removal of electrolysis-generated bubbles along the deep electrode channels during continuous-flow separation. The introduction of microchannel arrays further enhances the stability of on-chip high-throughput separation. As a proof-of-concept, high-performance purification of fluorescein sodium solution with a separation purity of ~97.9% at a voltage of 250 V from the mixture sample solution of fluorescein sodium and rhodamine 6G solution is demonstrated.
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http://dx.doi.org/10.3390/s22031124DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838507PMC
February 2022

Effects of Bacillus methylotrophicus SY200 Supplementation on Growth Performance, Antioxidant Status, Intestinal Morphology, and Immune Function in Broiler Chickens.

Probiotics Antimicrob Proteins 2022 Feb 12. Epub 2022 Feb 12.

Animal Microecology Institute, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.

The present study was focused on evaluating the effects of Bacillus methylotrophicus SY200 in broiler production. A total of 120 healthy 7-day-old broiler chicks were randomly assigned to four dietary treatments, which included basal diet supplemented with 0%, 0.10%, 0.25%, or 0.50% (w/w) B. methylotrophicus SY200 preparation (1.0 × 10 cfu/g), regarded as negative control group (NC), low-dose group (BML), medium-dose group (BMM), and high-dose group (BMH), respectively. Each treatment was fed the corresponding experimental diet for 35 days. Results showed that dietary supplementation of B. methylotrophicus SY200 could improve broiler weight gain, especially the finisher phase. Further studies suggested that a certain amount of B. methylotrophicus SY200 enhanced the broiler antioxidant status and improved the morphological development of jejunum. Besides, dietary supplementation of B. methylotrophicus SY200 especially in 0.50% levels significantly increased the relative weight of immune organs and Newcastle disease virus antibody titer, similarly, increased mRNA expression levels of claudin-1, claudin-3, zonula occluden-1, and zonula occluden-2 were observed in the jejunum of BMM group. Moreover, B. methylotrophicus SY200 also showed beneficial effects in improving broilers microbiota homeostasis by increasing the number of beneficial bacteria. Conclusively, B. methylotrophicus SY200 could effectively improve the antioxidant status, modulate the intestinal structure, enhance the intestinal mucosal barrier function, and regulate the immune function of broilers, which finally improves the performance of the chicken in the finisher period.
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http://dx.doi.org/10.1007/s12602-022-09924-6DOI Listing
February 2022

Mechanism of Intermittent Deep Tillage and Different Depths Improving Crop Growth From the Perspective of Rhizosphere Soil Nutrients, Root System Architectures, Bacterial Communities, and Functional Profiles.

Front Microbiol 2021 10;12:759374. Epub 2022 Jan 10.

Tobacco Research Institute of Hunan Province, Changsha, China.

Long-term conventional shallow tillage reduced soil quality and limited the agriculture development. Intermittent deep tillage could effectively promote agricultural production, through optimizing soil structure, underground ecology system, and soil fertility. However, the microecological mechanism of intermittent deep tillage promoting agriculture production has never been reported, and the effect of tillage depth on crop growth has not been explored in detail. In this study, three levels of intermittent deep tillage (30, 40, and 50 cm) treatments were conducted in an experimental field site with over 10 years of conventional shallow tillage (20 cm). Our results indicated that intermittent deep tillage practices helped to improve plant physiological growth status, chlorophyll a, and resistance to diseases, and the crop yield and value of output were increased with the deeper tillage practices. Crop yield (18.59%) and value of output (37.03%) were highest in IDT-50. There were three mechanisms of intermittent deep tillage practices that improved crop growth: (1) Intermittent deep tillage practices increased soil nutrients and root system architecture traits, which improved the fertility and nutrient uptake of crop through root system. (2) Changing rhizosphere environments, especially for root length, root tips, pH, and available potassium contributed to dissimilarity of bacterial communities and enriched plant growth-promoting species. (3) Functions associated with stress tolerance, including signal transduction and biosynthesis of other secondary metabolites were increased significantly in intermittent deep tillage treatments. Moreover, IDT-30 only increased soil characters and root system architecture traits compared with CK, but deeper tillage could also change rhizosphere bacterial communities and functional profiles. Plant height and stem girth in IDT-40 and IDT-50 were higher compared with IDT-30, and infection rates of black shank and black root rot in IDT-50 were even lower in IDT-40. The study provided a comprehensive explanation into the effects of intermittent deep tillage in plant production and suggested an optimal depth.
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http://dx.doi.org/10.3389/fmicb.2021.759374DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784561PMC
January 2022

Protective Effects of Natural Polysaccharides on Intestinal Barrier Injury: A Review.

J Agric Food Chem 2022 Jan 4;70(3):711-735. Epub 2022 Jan 4.

Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology and Business University, Beijing 100048, People's Republic of China.

Owing to their minimal side effects and effective protection from oxidative stress, inflammation, and malignant growth, natural polysaccharides (NPs) are a potential adjuvant therapy for several diseases caused by intestinal barrier injury (IBI). More studies are accumulating on the protective effects of NPs with respect to IBI, but the underlying mechanisms remain unclear. Thus, this review aims to represent current studies that investigate the protective effects of NPs on IBI by directly maintaining intestinal epithelial barrier integrity (inhibiting oxidative stress, regulating inflammatory cytokine expression, and increasing tight junction protein expression) and indirectly regulating intestinal immunity and microbiota. Furthermore, the mechanisms underlying IBI development are briefly introduced, and the structure-activity relationships of polysaccharides with intestinal barrier protection effects are discussed. Potential developments and challenges associated with NPs exhibiting protective effects against IBI have also been highlighted to guide the application of NPs in the treatment of intestinal diseases caused by IBI.
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http://dx.doi.org/10.1021/acs.jafc.1c05966DOI Listing
January 2022

Does Postoperative Anxiety/Depression Impair the Long-Term Functional Outcomes of Laparoscopic Ventral Rectopexy for Obstructed Defecation?

J Laparoendosc Adv Surg Tech A 2022 Jan 20. Epub 2022 Jan 20.

Department of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.

This study aimed to investigate the relationship between postoperative anxiety/depression and functional outcomes of laparoscopic ventral rectopexy (LVR) for obstructed defecation (OD). Patients who received LVR for OD between March 2014 and July 2020 were enrolled. Patient demographics were recorded before surgery. The validated Cleveland Clinic Constipation Score (CCCS) and Patient Assessment of Constipation Quality of Life (PAC-QoL) were evaluated to assess functional outcomes and QoL, respectively. The self-rating anxiety scale and self-rating depression scale were used to measure anxiety and depression, respectively. Twenty-five patients were recruited. Significant improvement was found at last available follow-up (LAFU) in CCCS ( = .001), and three PAC-QoL subsets, physical discomfort ( = .003), satisfaction ( = .014), and worries/concerns ( = .033) during follow-up of 60 (11-84) months. In the patients with anxiety/depression ( = 11), significant improvement was found at LAFU in CCCS ( = .024) and the PAC-QoL subset, psychosocial discomfort ( = .038). In the patients without anxiety/depression ( = 14), improvement was found in CCCS ( = .009) and the PAC-QoL subset, physical discomfort ( = .018). The long-term functional outcomes of LVR for OD in patients with overt pelvic structural abnormalities are not undermined by postoperative anxiety/depression.
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http://dx.doi.org/10.1089/lap.2021.0798DOI Listing
January 2022

A new detection model of microaneurysms based on improved FC-DenseNet.

Sci Rep 2022 01 19;12(1):950. Epub 2022 Jan 19.

Eye Institute, Eye and ENT Hospital, Shanghai Medical College, Fudan University, Shanghai, 200030, China.

Diabetic retinopathy (DR) is a frequent vascular complication of diabetes mellitus and remains a leading cause of vision loss worldwide. Microaneurysm (MA) is usually the first symptom of DR that leads to blood leakage in the retina. Periodic detection of MAs will facilitate early detection of DR and reduction of vision injury. In this study, we proposed a novel model for the detection of MAs in fluorescein fundus angiography (FFA) images based on the improved FC-DenseNet, MAs-FC-DenseNet. FFA images were pre-processed by the Histogram Stretching and Gaussian Filtering algorithm to improve the quality of FFA images. Then, MA regions were detected by the improved FC-DenseNet. MAs-FC-DenseNet was compared against other FC-DenseNet models (FC-DenseNet56 and FC-DenseNet67) or the end-to-end models (DeeplabV3+ and PSPNet) to evaluate the detection performance of MAs. The result suggested that MAs-FC-DenseNet had higher values of evaluation metrics than other models, including pixel accuracy (PA), mean pixel accuracy (MPA), precision (Pre), recall (Re), F1-score (F1), and mean intersection over union (MIoU). Moreover, MA detection performance for MAs-FC-DenseNet was very close to the ground truth. Taken together, MAs-FC-DenseNet is a reliable model for rapid and accurate detection of MAs, which would be used for mass screening of DR patients.
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http://dx.doi.org/10.1038/s41598-021-04750-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770497PMC
January 2022

Poncirin ameliorates cardiac ischemia-reperfusion injury by activating PI3K/AKT/PGC-1α signaling.

Eur J Pharmacol 2022 Feb 12;917:174759. Epub 2022 Jan 12.

Department of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang, China. Electronic address:

Poncirin, a flavonoid glycoside derivative extracted from the fruits of Poncirus trifoliata (trifoliate orange or Chinese bitter orange), has a variety of documented bioactivities, including anti-tumor, anti-inflammatory, and antioxidant effects. Oxidative stress is a major underlying factor in the pathogenesis of cardiac ischemia-reperfusion (I/R) injury. Therefore, we investigated the protective efficacy of poncirin on primary cardiomyocytes subjected to anoxia-reoxygenation (A/R) injury in vitro, and on rat hearts subjected to ischemia-reperfusion (I/R) injury in vivo. Poncirin pretreatment enhanced cardiomyocyte survival, inhibited A/R-induced oxidative stress by upregulating cellular antioxidant capacity, suppressed mitochondrial depolarization, and ultimately inhibited apoptosis. Similarly, systemic poncirin treatment significantly reduced cardiomyocyte apoptosis and infarct size in rat hearts. In addition, activity of the PI3K/AKT/PGC-1α pathway was significantly increased by poncirin pretreatment in both A/R and I/R injury models, while PI3K and PGC-1α inhibitors abolished all poncirin related effects, suggesting that this pathway is essential for the cardioprotective effects of poncirin. Pretreatment with the PGC-1α inhibitor reversed effects of poncirin without affecting p-AKT expression, indicating that PGC-1α is downstream of AKT. In conclusion, both in vitro and in vivo studies suggested that poncirin alleviates cardiac ischemia-reperfusion injury by mitigating oxidative stress, which is dependent on activation of the PI3K/AKT/PGC-1α signaling pathway.
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http://dx.doi.org/10.1016/j.ejphar.2022.174759DOI Listing
February 2022
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