Dong Shang

Dalian Medical University

Author Statistics

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i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Biao Zhang

Dalian Medical University

Hong Xiang

Dalian Medical University

Shilin Xia

Anhui University of Traditional Chinese Medicine

Qingkai Zhang

Dalian Medical University

Fangyue Guo

Dalian Medical University

Guixin Zhang

Dalian Medical University

Xufeng Tao

Dalian Medical University

Qihang Yuan

Dalian Medical University

Huiyi Song

Dalian Medical University

Jialin Qu

Dalian Medical University

Cooperative Institutions

Dalian Medical University

195

First Affiliated Hospital of Dalian Medical University

128

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Central South University

Shanghai Jiao Tong University

Huazhong University of Science and Technology

Dalian University

Sichuan University

Sun Yat-sen University

Author Statistics

Papers

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Acute cholecystitis associated with infection of Enterobacteriaceae from gut microbiota

Clinical Microbiology and Infection (2015)

J. Liu Qiulong Yan Fei Luo Dong Shang Depei Wu

Enterobacteriaceae Infections

10.1016/j.cmi.2015.05.017

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Citations (78)

Label-free quantitative proteomic analysis of the inhibition effect of Lactobacillus rhamnosus GG on Escherichia coli biofilm formation in co-culture

Proteome Science (2021)

Huiyi Song Ni Lou Jianjun Liu Hong Xiang Dong Shang

Escherichia coli (E. coli) is the principal pathogen that causes biofilm formation. Biofilms are associated with infectious diseases and antibiotic resistance. This study employed proteomic analysis to identify differentially expressed proteins after coculture of E. coli with Lactobacillus rhamnosus GG (LGG) microcapsules.To explore the relevant protein abundance changes after E. coli and LGG coculture, label-free quantitative proteomic analysis and qRT-PCR were applied to E. coli and LGG microcapsule groups before and after coculture, respectively.The proteomic analysis characterised a total of 1655 proteins in E. coli K12MG1655 and 1431 proteins in the LGG. After coculture treatment, there were 262 differentially expressed proteins in E. coli and 291 in LGG. Gene ontology analysis showed that the differentially expressed proteins were mainly related to cellular metabolism, the stress response, transcription and the cell membrane. A protein interaction network and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis indicated that the differentiated proteins were mainly involved in the protein ubiquitination pathway and mitochondrial dysfunction.These findings indicated that LGG microcapsules may inhibit E. coli biofilm formation by disrupting metabolic processes, particularly in relation to energy metabolism and stimulus responses, both of which are critical for the growth of LGG. Together, these findings increase our understanding of the interactions between bacteria under coculture conditions.

Lactobacillus rhamnosus

KEGG

Proteome

10.1186/s12953-021-00172-0

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Citations (5)

One Distinctive Presentation in Radiology of Pancreatic Cancer: A Rare Case Report

Journal of Pancreatic Cancer (2017)

Xu He Qingkai Zhang Xue Gao Dong Shang

Background: Pancreatic cancer is an aggressive and malignant disease that usually presents as an isodense or hypodense lesion with no significant enhancement in contrast CT. CT scan plays an important role in the diagnosis of pancreatic diseases, especially in pancreatic cancer and pancreatic neuroendocrine tumors. Presentation: This report includes a case of a 53-year-old female patient presenting a high-density mass in the pancreas on contrast CT. The mass was surgically removed, and the pathology confirmed the diagnosis of pancreatic adenocarcinoma. Conclusion: Sometimes the contrast CT of pancreatic cancer can be expressed as high density, which is similar to pancreatic neuroendocrine tumors. It is necessary for us to identify carefully.

Presentation (obstetrics)

Pancreatic mass

Pancreatic Disease

Mass/lesion

10.1089/pancan.2017.0009

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Citations (1)

A stumbling block in pancreatic cancer treatment: drug resistance signaling networks

Frontiers in Cell and Developmental Biology (2025)

Jinming Liu Biao Zhang Bingqian Huang Kexin Zhang Fujia Guo

The primary node molecules in the cell signaling network in cancer tissues are maladjusted and mutated in comparison to normal tissues, which promotes the occurrence and progression of cancer. Pancreatic cancer (PC) is a highly fatal cancer with increasing incidence and low five-year survival rates. Currently, there are several therapies that target cell signaling networks in PC. However, PC is a "cold tumor" with a unique immunosuppressive tumor microenvironment (poor effector T cell infiltration, low antigen specificity), and targeting a single gene or pathway is basically ineffective in clinical practice. Targeted matrix therapy, targeted metabolic therapy, targeted mutant gene therapy, immunosuppressive therapy, cancer vaccines, and other emerging therapies have shown great therapeutic potential, but results have been disappointing. Therefore, we summarize the identified and potential drug-resistant cell signaling networks aimed at overcoming barriers to existing PC therapies.

10.3389/fcell.2024.1462808

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Citations (0)

Rapid and Sensitive Determination of 13 Components in a Traditional Chinese Medicine Formula of Da-Huang-Gan-Cao Decoction by High-Performance Liquid Chromatography Coupled with Triple Quadrupole Mass Spectrometry

Journal of AOAC International (2017)

Jialin Qu Nan Xiao Hua Sui Lina Liang Jing Chen

Abstract Da-Huang-Gan-Cao decoction (DHGCD), which is a classic formula in traditional Chinese medicine, has been clinically used for the treatment of vomiting, constipation, pancreatitis, and cholelithiasis in China and Japan. In this study, a rapid and validated method using HPLC coupled with triple quadrupole MS was developed for the simultaneous determination of 13 components in DHGCD. Separation was performed on an XBridge BEH C18 column (50 × 2.1 mm, 2.5 μm) with a gradient elution of acetonitrile and0.1% formic acid in water. All calibration curves showed good linear regression (r > 0.9981) within the test range. LODs and LOQs were in the range of 1.0–20 and 2.6–69 ng/mL, respectively. The proposed method was applied for the analysis of the target compounds in 10 batches of DHGCD within a total time of 10 min. This method was conducive for the QC of DHGCD.

Decoction

Gradient elution

10.5740/jaoacint.17-0028

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Citations (2)

Serotonin-RhoA/ROCK axis promotes acinar-to-ductal metaplasia in caerulein-induced chronic pancreatitis

Biomedicine & Pharmacotherapy (2020)

Xufeng Tao Qing Chen Ning Li Hong Xiang Yue Pan

The underlying molecular mechanisms of chronic pancreatitis (CP) developing into pancreatic ductal adenocarcinoma (PDAC) remain largely unknown. Here we show that the level of serotonin in mouse pancreatic tissues is upregulated in caerulein-induced CP mice. In vitro study demonstrates that serotonin promotes the formation of acinar-to-ductal metaplasia (ADM) and the activation of pancreatic stellate cells (PSCs), which results from the activation of RhoA/ROCK signaling cascade. Activation of this signaling cascade increases NF-κB nuclear translocation and α-SMA expression, which further enhance the inflammatory responses and fibrosis in pancreatic tissues. Intriguingly, quercetin inhibits both ADM lesion and PSCs activation in vitro and in vivo via its inhibitory effect on serotonin release. Our findings underscore the instrumental role of serotonin-mediated activation of RhoA/ROCK signaling pathway in development of PDAC from CP and highlight a potential to impede PDAC development by disrupting tumor-promoting functions of serotonin.

Transdifferentiation

Acinar cell

Hepatic stellate cell

Ceruletide

10.1016/j.biopha.2020.109999

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Citations (31)

[Current status of the study on the integration of traditional Chinese medicine with Western medicine in the treatment of arteriosclerosis obliterans].

PubMed (1998)

P Chen Dong Shang

Arteriosclerosis obliterans

Arteriosclerosis

Western medicine

Source

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Citations (0)

Traditional Chinese Medicine as Potential Therapy for COVID-19

The American Journal of Chinese Medicine (2020)

Shuang Li Chang Liu Fangyue Guo Sarah Taleb Mengying Tong

In December 2019, a novel coronavirus SARS-CoV-2, causing the disease COVID-19, spread from Wuhan throughout China and has infected people over 200 countries. Thus far, more than 3,400,000 cases and 240,000 deaths have occurred worldwide, and the coronavirus pandemic continues to grip the globe. While numbers of cases in China have been steadying, the number of infections outside China is increasing at a worrying pace. We face an urgent need to control the spread of the COVID-19 epidemic, which is currently expanding to a global pandemic. Efforts have focused on testing antiviral drugs and vaccines, but there is currently no treatment specifically approved. Traditional Chinese medicine (TCM) is grounded in empirical observations and the Chinese people use TCM to overcome these sorts of plagues many times in thousands of years of history. Currently, the Chinese National Health Commission recommended a TCM prescription of Qing-Fei-Pai-Du-Tang (QFPDT) in the latest version of the “Diagnosis and Treatment guidelines of COVID-19” which has been reported to provide reliable effects for COVID-19. While doubts about TCM still exist today, this review paper will describe the rationalities that QFPDT is likely to bring a safe and effective treatment of COVID-19.

Pandemic

Pace

2019-20 coronavirus outbreak

Global Health

10.1142/s0192415x20500627

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Citations (19)

Fault Location Technology of Transmission Line based on Asynchronous Phasor Measurement from PMUs

IOP Conference Series Earth and Environmental Science (2021)

Che Xiaotao Jian Hangli Qian Sun Dong Shang Huangfu Wujun

Abstract With the continuous expansion of the scale of the modern power system, when the fault occurs at transmission networks, it will have a serious impact on the economy and people’s life. In this paper, a fault location method based on synchronous phasor measurement from the phasor measurement unit (PMU) is proposed in transmission networks. Firstly, the real-time synchronous voltage and current phasors of the transmission lines are measured by the PMU at two buses. Then, the characteristic impedance and propagation coefficient of the line is calculated according to the measurement phasors, and the fault point voltage is listed at both ends of the line. Finally, the fault distance is obtained by solving the complex equation under fault condition at both ends to realize the fault location of transmission networks without branches. Compared with the single-terminal fault location method, the proposed method can eliminate the errors caused by various factors, such as the uneven distribution of capacitance and the uncertain transition resistance. At the same time, this paper uses PSACD software to build a model to verify the effectiveness and superiority of the method.

Phasor measurement unit

Units of measurement

Fault indicator

Transmission system

10.1088/1755-1315/645/1/012084

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Citations (2)

Identification of novel biomarkers based on lipid metabolism-related molecular subtypes for moderately severe and severe acute pancreatitis

Lipids in Health and Disease (2024)

Jifeng Liu Lei Zhong Yunshu Zhang Jingyuan Ma Tong Xie

Abstract Background Acute pancreatitis (AP) is an unpredictable and potentially fatal disorder. A derailed or unbalanced immune response may be the root of the disease’s severe course. Disorders of lipid metabolism are highly correlated with the occurrence and severity of AP. We aimed to characterize the contribution and immunological characteristics of lipid metabolism-related genes (LMRGs) in non-mild acute pancreatitis (NMAP) and identify a robust subtype and biomarker for NMAP. Methods The expression mode of LMRGs and immune characteristics in NMAP were examined. Then LMRG-derived subtypes were identified using consensus clustering. The weighted gene co-expression network analysis (WGCNA) was utilized to determine hub genes and perform functional enrichment analyses. Multiple machine learning methods were used to build the diagnostic model for NMAP patients. To validate the predictive effectiveness, nomograms, receiver operating characteristic (ROC), calibration, and decision curve analysis (DCA) were used. Using gene set variation analysis (GSVA) and single-cell analysis to study the biological roles of model genes. Results Dysregulated LMRGs and immunological responses were identified between NMAP and normal individuals. NMAP individuals were divided into two LMRG-related subtypes with significant differences in biological function. The cluster-specific genes are primarily engaged in the regulation of defense response, T cell activation, and positive regulation of cytokine production. Moreover, we constructed a two-gene prediction model with good performance. The expression of CARD16 and MSGT1 was significantly increased in NMAP samples and positively correlated with neutrophil and mast cell infiltration. GSVA results showed that they are mainly upregulated in the T cell receptor complex, immunoglobulin complex circulating, and some immune-related routes. Single-cell analysis indicated that CARD16 was mainly distributed in mixed immune cells and macrophages, and MGST1 was mainly distributed in exocrine glandular cells. Conclusions This study presents a novel approach to categorizing NMAP into different clusters based on LMRGs and developing a reliable two-gene biomarker for NMAP.

10.1186/s12944-023-01972-3

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Citations (4)