Xin Ye

Shanghai Jiao Tong University

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Binbin Jin

Zhejiang Tongji Vocational College of Science and Technology

Xiaoyu Shi

Nanjing Surveying and Mapping Research Institute (China)

Tianfu Wang

Shanghai Jiao Tong University

Fangming Jin

Shanghai Jiao Tong University

Heng Zhong

Shanghai Jiao Tong University

Yan Liu

Chinese Academy of Sciences

Fangqi Cao

East China University of Science and Technology

Guangxin Xiang

Wenzhou Medical University

Yan He

Xiamen University of Technology

Guangfeng Yang

Research Center for Eco-Environmental Sciences

Cooperative Institutions

Shanghai Jiao Tong University

Chinese Academy of Sciences

Wenzhou Medical University

University of Chinese Academy of Sciences

Ministry of Education of the People's Republic of China

Shanghai First People's Hospital

Tsinghua University

Zhejiang Ocean University

Sun Yat-sen University

Zhejiang University

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Inhibition of Matrix Metalloproteinase with BB-94 Protects against Caerulein-Induced Pancreatitis via Modulating Neutrophil and Macrophage Activation

Gastroenterology Research and Practice (2020)

Zengkai Wu Tunike Mulatibieke Mengya Niu Bin Li Juanjuan Dai

AP was induced in Balb/C mice by ten hourly intraperitoneal injections of caerulein (100 μg/kg) and LPS (5 mg/kg). The MMP inhibitor, BB-94 (20 mg/kg) was intraperitoneally administered 30 min before AP induction. Pancreatitis was confirmed by histology and serum amylase and lipase. Expression of pancreatic proinflammatory mediators and NF-κB activation were assessed. Bone marrow-derived neutrophils (BMDNs) and macrophages (BMDMs) were isolated. BMDNs were activated by phorbol 12-myristate 13-acetate (PMA, 50 ng/ml) and neutrophil reactive oxygen species (ROS) production was recorded. BMDMs were stimulated with 10 ng/ml IFN-γ and 100 ng/ml LPS to induce M1 macrophage polarization.Pancreatic MMP-9 was markedly upregulated and serum MMP-9 was increased in caerulein-induced pancreatitis. Inhibition of MMP with BB-94 ameliorated pancreatic tissue damage and decreased the expression of proinflammatory cytokines (TNFα and IL-6) or chemokines (CCL2 and CXCL2) and NF-κB activation. Furthermore, using isolated BMDNs and BMDMs, we found that inhibition of MMP with BB-94 markedly decreased neutrophil ROS production, inhibited inflammatory macrophage polarization and NF-κB activation.Our results showed that inhibition of MMP with BB-94 protected against pancreatic inflammatory responses in caerulein-induced pancreatitis via modulating neutrophil and macrophage activation.

Proinflammatory cytokine

10.1155/2020/8903610

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Citations (4)

Effects of formaldehyde exposure on anxiety-like and depression-like behavior, cognition, central levels of glucocorticoid receptor and tyrosine hydroxylase in mice

Chemosphere (2015)

Yani Li Zhuoyi Song Yujuan Ding Xin Ye Tong Wu

Elevated plus maze

10.1016/j.chemosphere.2015.10.102

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Citations (45)

Photothermal strategy for the highly efficient conversion of glucose into lactic acid at low temperatures over a hybrid multifunctional multi-walled carbon nanotube/layered double hydroxide catalyst

Green Chemistry (2021)

Xin Ye Xiaoyu Shi Heng Zhong Tianfu Wang Jia Duo

A light-driven system of highly selective conversion of glucose into lactic acid over carbon nanotube/layered double hydroxide composites (CNT/LDHs) with excellent stability was developed.

Layered double hydroxides

10.1039/d1gc03761g

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Citations (20)

Succession of oral microbiota community as a tool to estimate postmortem interval

Scientific Reports (2019)

Kaikai Dong Xin Ye Fangqi Cao Zhiwei Huang Jing Sun

Abstract The establishment of postmortem interval is one of the most important aspects of forensic expertise. Microbes may provide a novel way to estimate the postmortem intervals in order to avoid many of these limitations. The oral cavity harbors one of the most diverse microbiomes that play a key role in the decomposition of corpses. In this study, the oral bacterial community showed obvious changes in relative abundance during the process of mice decomposition. Meanwhile, at different taxonomic levels, specific bacteria were found to be significantly correlated with the postmortem interval. Linear regression models between relative abundance and the postmortem interval were constructed. Among these species, Gamma-proteobacteria and Proteus were the best ones that can be used to infer the postmortem interval, especially late postmortem interval. Therefore, we suggest that succession of oral microbial community can be developed as a forensic tool for estimating the postmortem interval.

Forensic Entomology

Postmortem Changes

10.1038/s41598-019-49338-z

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Citations (46)

Dynamics of denitrification performance and denitrifying community under high-dose acute oxytetracycline exposure and various biorecovery strategies in polycaprolactone-supported solid-phase denitrification

Journal of Environmental Management (2020)

Hui Yu Xin Ye Lijuan Feng Jingyi Yang Zeyu Lan

Polycaprolactone

10.1016/j.jenvman.2020.111763

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Citations (19)

Natural mineral bentonite as catalyst for efficient isomerization of biomass-derived glucose to fructose in water

The Science of The Total Environment (2021)

Xin Ye Xiaoyu Shi Binbin Jin Heng Zhong Fangming Jin

Bentonite

10.1016/j.scitotenv.2021.146276

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Citations (38)

Adsorption Characteristics and Pore Structure of Organic-Rich Shale With Different Moisture Contents

Frontiers in Earth Science (2022)

Yan Liu Qian Cao Xin Ye Dong Li

A moisture equilibration test has been designed to study the pore structure and adsorption capacity of organic-rich shale with different moisture contents. Five humidity environments were artificially controlled to obtain shale samples with different moisture contents. With the moisture equilibration test and N 2 adsorption/desorption, the differences in pore structure of samples with different moisture contents were compared and analysed. The results showed that the diameter of 2–10 nm pores decreased with increasing humidity and that the moisture adsorption characteristics conformed to the GAB adsorption model. It is proposed that when moisture enters a sample, monolayer adsorption will first occur because moisture is preferentially adsorbed on the pore surface with strong hydrophilicity, filling in the relatively small pores. Mesopores and micropores play a major role in water adsorption. With increasing humidity, capillary condensation of moisture gradually occurs in pores. Based on the methane isothermal adsorption test of shale samples with different moisture contents, a quantitative linear relationship between the moisture content and methane adsorption capacity of shale samples has been established. It has been determined that the methane adsorption capacity of shale in underwater conditions is less than that of dry samples, and that the rate of decline in the adsorption capacity of different samples under dry and water balance conditions varies greatly. The distribution characteristics of clay minerals are the main controlling factor of the hydrophilicity of shale, which has a certain guiding significance for further accurate evaluation of shale adsorption gas reserves.

Capillary condensation

Isothermal process

10.3389/feart.2022.863691

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Citations (8)

Enhanced catalytic activity of layered double hydroxides via in-situ reconstruction for conversion of glucose/food waste to methyl lactate in biorefinery

The Science of The Total Environment (2022)

Xin Ye Xiaoyu Shi Huixing Xu Yiqi Feng Binbin Jin

Layered double hydroxides

Food Waste

Hydrotalcite

D-Glucose

10.1016/j.scitotenv.2022.154540

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Citations (10)

Role of Transient Receptor Potential Ion Channels and Evoked Levels of Neuropeptides in a Formaldehyde-Induced Model of Asthma in Balb/c Mice

PLoS ONE (2013)

Yang Wu Huihui You Ping Ma Li Li Ye Yuan

Asthma is a complex pulmonary inflammatory disease characterized by the hyper-responsiveness, remodeling and inflammation of airways. Formaldehyde is a common indoor air pollutant that can cause asthma in people experiencing long-term exposure. The irritant effect and adjuvant effect are the two possible pathways of formaldehyde promoted asthma.To explore the neural mechanisms and adjuvant effect of formaldehyde, 48 Balb/c mice in six experimental groups were exposed to (a) vehicle control; (b) ovalbumin; (c) formaldehyde (3.0 mg/m(3)); (d) ovalbumin+formaldehyde (3.0 mg/m(3)); (e) ovalbumin+formaldehyde (3.0 mg/m(3))+HC-030031 (transient receptor potential ankyrin 1 antagonist); (f) ovalbumin+formaldehyde (3.0 mg/m(3))+ capsazepine (transient receptor potential vanilloid 1 antagonist). Experiments were conducted after 4 weeks of combined exposure and 1-week challenge with aerosolized ovalbumin. Airway hyper-responsiveness, pulmonary tissue damage, eosinophil infiltration, and increased levels of interleukin-4, interleukin-6, interleukin-1β, immunoglobulin E, substance P and calcitonin gene-related peptide in lung tissues were found in the ovalbumin+formaldehyde (3.0 mg/m(3)) group compared with the values seen in ovalbumin -only immunized mice. Except for interleukin-1β levels, other changes in the levels of biomarker could be inhibited by HC-030031 and capsazepine.Formaldehyde might be a key risk factor for the rise in asthma cases. Transient receptor potential ion channels and neuropeptides have important roles in formaldehyde promoted-asthma.

Capsazepine

10.1371/journal.pone.0062827

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Citations (47)

Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis

Journal of Gastroenterology and Hepatology (2023)

Zhu Luo Jialin Shi Yangyang Fang Shunjie Pei Yutian Lu

Severe acute pancreatitis (SAP) in patients progresses rapidly and can cause multiple organ failures associated with high mortality. We aimed to train a machine learning (ML) model and establish a nomogram that could identify SAP, early in the course of acute pancreatitis (AP).In this retrospective study, 631 patients with AP were enrolled in the training cohort. For predicting SAP early, five supervised ML models were employed, such as random forest (RF), K-nearest neighbors (KNN), and naive Bayes (NB), which were evaluated by accuracy (ACC) and the areas under the receiver operating characteristic curve (AUC). The nomogram was established, and the predictive ability was assessed by the calibration curve and AUC. They were externally validated by an independent cohort of 109 patients with AP.In the training cohort, the AUC of RF, KNN, and NB models were 0.969, 0.954, and 0.951, respectively, while the AUC of the Bedside Index for Severity in Acute Pancreatitis (BISAP), Ranson and Glasgow scores were only 0.796, 0.847, and 0.837, respectively. In the validation cohort, the RF model also showed the highest AUC, which was 0.961. The AUC for the nomogram was 0.888 and 0.955 in the training and validation cohort, respectively.Our findings suggested that the RF model exhibited the best predictive performance, and the nomogram provided a visual scoring model for clinical practice. Our models may serve as practical tools for facilitating personalized treatment options and improving clinical outcomes through pre-treatment stratification of patients with AP.

Nomogram

Area under curve

10.1111/jgh.16125

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Citations (7)