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Article: Parthenolide induces ROS-dependent cell death in human gastric cancer cell.

Han, Dandan / Zhu, Wenhao / Chen, Yang / Wang, Huiru

Advances in clinical and experimental medicine : official organ Wroclaw Medical University

2024

Abstract: Background: Parthenolide (PN), a key active ingredient of feverfew, has been used to treat gastrointestinal disorders. However, the mechanism of the cytotoxic effect exerted by PN on tumor cells has not been elucidated.: Objectives: To study the ... ...

Abstract	Background: Parthenolide (PN), a key active ingredient of feverfew, has been used to treat gastrointestinal disorders. However, the mechanism of the cytotoxic effect exerted by PN on tumor cells has not been elucidated. Objectives: To study the cytotoxic effect of PN on human gastric cancer cells, the specific death mode, and gene expression changes induced by PN. Material and methods: In this study, MGC-803 cells were used to study PN-induced cytotoxicity as a gastric cancer cell line. Assays of cell proliferation, cell cycle distribution, apoptosis, and reactive oxygen species (ROS) were performed using a Cell Counting Kit-8 (CCK-8) assay and a flow cytometer. MGC-803 cells treated with and without PN were separately subjected to high-throughput RNA sequencing. Western blotting was used to investigate the expression of some important proteins. Results: Parthenolide exposure elicited cell proliferation inhibition in a doseand time-dependent manner. Parthenolide induced cell cycle arrest at the G1 and S stages. Parthenolide-induced caspase-dependent apoptosis and necroptosis were caused by the activation of RIP, RIP3 and MLKL. MGC-803 cells showed a response to ROS and oxidative stress after PN treatment. Moreover, ROS and cytotoxicity induced by PN were significantly attenuated by a ROS scavenger catalase. Conclusions: Parthenolide-induced gastric cancer cell death is a complex ROS-dependent process different from ordinary apoptosis and necrosis, suggesting that PN is a potential treatment option for gastric cancer.
Language	English
Publishing date	2024-01-10
Publishing country	Poland
Document type	Journal Article
ZDB-ID	2270257-X
ISSN	1899-5276 ; 1230-025X
ISSN	1899-5276 ; 1230-025X
DOI	10.17219/acem/175152
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Article ; Online: Safe screening rules for multi-view support vector machines.

Wang, Huiru / Zhu, Jiayi / Zhang, Siyuan

Neural networks : the official journal of the International Neural Network Society

2023 Volume 166, Page(s) 326–343

Abstract: Multi-view learning aims to make use of the advantages of different views to complement each other and fully mines the potential information in the data. However, the complexity of multi-view learning algorithm is much higher than that of single view ... ...

Abstract	Multi-view learning aims to make use of the advantages of different views to complement each other and fully mines the potential information in the data. However, the complexity of multi-view learning algorithm is much higher than that of single view learning algorithm. Based on the optimality conditions of two classical multi-view models: SVM-2K and multi-view twin support vector machine (MvTwSVM), this paper analyzes the corresponding relationship between dual variables and samples, and derives their safe screening rules for the first time, termed as SSR-SVM-2K and SSR-MvTwSVM. It can assign or delete four groups of different dual variables in advance before solving the optimization problem, so as to greatly reduce the scale of the optimization problem and improve the solution speed. More importantly, the safe screening criterion is "safe", that is, the solution of the reduced optimization problem is the same as that of the original problem before screening. In addition, we further give a sequence screening rule to speed up the parameter optimization process, and analyze its properties, including the similarities and differences of safe screening rules between multi-view SVMs and single-view SVMs, the computational complexity, and the relationship between the parameter interval and screening rate. Numerical experiments verify the effectiveness of the proposed methods.
MeSH term(s)	Support Vector Machine ; Algorithms
Language	English
Publishing date	2023-07-17
Publishing country	United States
Document type	Journal Article
ZDB-ID	740542-x
ISSN	1879-2782 ; 0893-6080
ISSN (online)	1879-2782
ISSN	0893-6080
DOI	10.1016/j.neunet.2023.07.021
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Zs.A 2365: Show issues

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Article: Unlocking Resilience: How Physical Literacy Impacts Psychological Well-Being among Quarantined Researchers.

Meng, Han / Tang, Xin / Qiao, Jun / Wang, Huiru

Healthcare (Basel, Switzerland)

2023 Volume 11, Issue 22

Abstract: This study investigates the interplay between physical literacy, resilience, and burnout among researchers who experienced strict home quarantine during the COVID-19 pandemic in China, with a particular focus on the mediating role of resilience. ... ...

Abstract	This study investigates the interplay between physical literacy, resilience, and burnout among researchers who experienced strict home quarantine during the COVID-19 pandemic in China, with a particular focus on the mediating role of resilience. Employing a two-stage sampling procedure, a total of 363 researchers from diverse disciplines, notably social science and natural science, were enlisted and administered a series of validated scales, including the Perceived Physical Literacy Scale (PPL), the 10-item Connor-Davidson Resilience Scale (CD-RISC-10), and the Chinese version of the Oldenburg Burnout Inventory (OLBL), via an anonymous online platform. The findings revealed substantial differences in physical literacy, resilience, and burnout across disciplines. Resilience partially mediated the relationship between physical literacy and burnout. Upon a closer examination of the sub-dimensions, resilience was found to fully mediate between factors of motivation, exhaustion, and disengagement. Moreover, one aspect of physical literacy-interaction with the environment-exhibited weaker correlations with both resilience and burnout compared to other dimensions of physical literacy. Overall, the study confirms the significant correlation between physical literacy and psychological parameters, establishing that elevated levels of both physical literacy and resilience serve as key factors in mitigating burnout during the pandemic.
Language	English
Publishing date	2023-11-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare11222972
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Article: [Therapeutic Effect of Convalescent Plasma Transfusion on Fulminant Viral Infectious Diseases--Review].

Wang, Hui-Ru / Liu, Hui-Lan

Zhongguo shi yan xue ye xue za zhi

2021 Volume 29, Issue 3, Page(s) 988–992

Abstract: Novel coronavirus disease 2019 (COVID-19) has started to erupt in Wuhan since December 2019, and then the cases of COVID-19 increased rapidly, the epidemic situation spreaded to most area of China. Owing to the lack of specific drugs at present, ... ...

Abstract	Novel coronavirus disease 2019 (COVID-19) has started to erupt in Wuhan since December 2019, and then the cases of COVID-19 increased rapidly, the epidemic situation spreaded to most area of China. Owing to the lack of specific drugs at present, convalescent plasma therapy becomes an alternative treatment. However, the choice of the donor, suitable patients, timing of treatment, administrate dose, the advantages and disadvantages of the treatment are not clear. This article reviews the clinical studies and case reports of convalescent plasma therapy in several previous viral infectious diseases in order to provide clues for the treatment of COVID-19.
MeSH term(s)	Blood Component Transfusion ; COVID-19/therapy ; China ; Communicable Diseases ; Humans ; Immunization, Passive ; Plasma ; SARS-CoV-2
Language	Chinese
Publishing date	2021-06-09
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	2404306-0
ISSN	1009-2137
ISSN	1009-2137
DOI	10.19746/j.cnki.issn.1009-2137.2021.03.053
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Zs.A 6603: Show issues

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Article ; Online: A Novel Method to Repair Thin Endometrium and Restore Fertility Based on Menstruation-Derived Stem Cell.

Chen, Kai / Wang, Huiru / Zhao, Xin / Wang, Jingxin / Jin, Qi / Tong, Xianhong / Zheng, Shengxia

Reproductive sciences (Thousand Oaks, Calif.)

2024

Abstract: Thin endometrium (TE), which mainly occurs as a result of severe damage to the endometrial basalis, is one of the prominent etiologies of menstrual abnormalities, infertility, and recurrent miscarriage in women. Previous studies have demonstrated that ... ...

Abstract	Thin endometrium (TE), which mainly occurs as a result of severe damage to the endometrial basalis, is one of the prominent etiologies of menstrual abnormalities, infertility, and recurrent miscarriage in women. Previous studies have demonstrated that mesenchymal stem cells (MSCs) are considered ideal cells with multipotency for regenerative medicine and exhibit therapeutic effects on TE through their cellular secretions. However, there is limited research on strategies to enhance MSC secretion to improve their therapeutic efficacy. Herein, we isolated menstrual blood-derived mesenchymal stem cells (MenSCs) from menstruation and transformed them into decidualized stromal cells (DSCs), which are specialized cells with enhanced secretory functions. To assess the therapeutic potential of DSCs compared to MenSCs, we conducted a series of experiments in cells and animals. The results demonstrated that DSCs exhibited changes in morphology compared to MenSCs, with a decrease in cell proliferation but a significant improvement in secretion function. Furthermore, DSCs facilitated the restoration of endometrial thickness and increased the number of glands and blood vessel formation. Most importantly, the pregnancy rates in rats were effectively restored, bringing them closer to normal levels. These findings greatly contribute to our understanding of stem cell therapy for TE and strongly suggest that DSCs could hold significant promise as a potential treatment option for TE.
Language	English
Publishing date	2024-01-31
Publishing country	United States
Document type	Journal Article
ZDB-ID	2276411-2
ISSN	1933-7205 ; 1933-7191
ISSN (online)	1933-7205
ISSN	1933-7191
DOI	10.1007/s43032-024-01458-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4113: Show issues

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Article ; Online: Multimodal Sentiment Analysis Representations Learning via Contrastive Learning with Condense Attention Fusion.

Wang, Huiru / Li, Xiuhong / Ren, Zenyu / Wang, Min / Ma, Chunming

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 5

Abstract: Multimodal sentiment analysis has gained popularity as a research field for its ability to predict users' emotional tendencies more comprehensively. The data fusion module is a critical component of multimodal sentiment analysis, as it allows for ... ...

Abstract	Multimodal sentiment analysis has gained popularity as a research field for its ability to predict users' emotional tendencies more comprehensively. The data fusion module is a critical component of multimodal sentiment analysis, as it allows for integrating information from multiple modalities. However, it is challenging to combine modalities and remove redundant information effectively. In our research, we address these challenges by proposing a multimodal sentiment analysis model based on supervised contrastive learning, which leads to more effective data representation and richer multimodal features. Specifically, we introduce the MLFC module, which utilizes a convolutional neural network (CNN) and Transformer to solve the redundancy problem of each modal feature and reduce irrelevant information. Moreover, our model employs supervised contrastive learning to enhance its ability to learn standard sentiment features from data. We evaluate our model on three widely-used datasets, namely MVSA-single, MVSA-multiple, and HFM, demonstrating that our model outperforms the state-of-the-art model. Finally, we conduct ablation experiments to validate the efficacy of our proposed method.
Language	English
Publishing date	2023-03-01
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23052679
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Article ; Online: Pingwei San Ameliorates Spleen Deficiency-Induced Diarrhea through Intestinal Barrier Protection and Gut Microbiota Modulation

Fan, Yimeng / Zhao, Qingyu / Wei, Yuanyuan / Wang, Huiru / Ga, Yu / Zhang, Yannan / Hao, Zhihui

Antioxidants. 2023 May 19, v. 12, no. 5

2023

Abstract: Pingwei San (PWS) has been used for more than a thousand years as a traditional Chinese medicine prescription for treating spleen-deficiency diarrhea (SDD). Nevertheless, the exact mechanism by which it exerts its antidiarrheal effects remains unclear. ... ...

Abstract	Pingwei San (PWS) has been used for more than a thousand years as a traditional Chinese medicine prescription for treating spleen-deficiency diarrhea (SDD). Nevertheless, the exact mechanism by which it exerts its antidiarrheal effects remains unclear. The objective of this investigation was to explore the antidiarrheal efficacy of PWS and its mechanism of action in SDD induced by Rhubarb. To this end, UHPLC-MS/MS was used to identify the chemical composition of PWS, while the body weight, fecal moisture content, and colon pathological alterations were used to evaluate the effects of PWS on the Rhubarb-induced rat model of SDD. Additionally, quantitative polymerase chain reaction (qPCR) and immunohistochemistry were employed to assess the expression of inflammatory factors, aquaporins (AQPs), and tight junction markers in the colon tissues. Furthermore, 16S rRNA was utilized to determine the impact of PWS on the intestinal flora of SDD rats. The findings revealed that PWS increased body weight, reduced fecal water content, and decreased inflammatory cell infiltration in the colon. It also promoted the expression of AQPs and tight junction markers and prevented the loss of colonic cup cells in SDD rats. In addition, PWS significantly increased the abundance of Prevotellaceae, Eubacterium_ruminantium_group, and Tuzzerella, while decreasing the abundance of Ruminococcus and Frisingicoccus in the feces of SDD rats. The LEfSe analysis revealed that Prevotella, Eubacterium_ruminantium_group, and Pantoea were relatively enriched in the PWS group. Overall, the findings of this study indicate that PWS exerted a therapeutic effect on Rhubarb-induced SDD in rats by both protecting the intestinal barrier and modulating the imbalanced intestinal microbiota.
Keywords	Oriental traditional medicine ; Pantoea ; Prevotella ; Ruminococcus ; animal models ; aquaporins ; body weight ; colon ; diarrhea ; feces ; immunohistochemistry ; intestinal microorganisms ; mechanism of action ; quantitative polymerase chain reaction ; rhubarb ; spleen ; therapeutics ; tight junctions ; water content
Language	English
Dates of publication	2023-0519
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article ; Online
ZDB-ID	2704216-9
ISSN	2076-3921
ISSN	2076-3921
DOI	10.3390/antiox12051122
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition.

Ren, Zeyu / Yolwas, Nurmemet / Slamu, Wushour / Cao, Ronghe / Wang, Huiru

Sensors (Basel, Switzerland)

2022 Volume 22, Issue 19

Abstract: Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech information such as a pronunciation dictionary, and its system is built through a single neural network and obtains performance comparable to that of traditional methods. ...

Abstract	Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech information such as a pronunciation dictionary, and its system is built through a single neural network and obtains performance comparable to that of traditional methods. However, the model requires massive amounts of training data. Recently, hybrid CTC/attention ASR systems have become more popular and have achieved good performance even under low-resource conditions, but they are rarely used in Central Asian languages such as Turkish and Uzbek. We extend the dataset by adding noise to the original audio and using speed perturbation. To develop the performance of an E2E agglutinative language speech recognition system, we propose a new feature extractor, MSPC, which uses different sizes of convolution kernels to extract and fuse features of different scales. The experimental results show that this structure is superior to VGGnet. In addition to this, the attention module is improved. By using the CTC objective function in training and the BERT model to initialize the language model in the decoding stage, the proposed method accelerates the convergence of the model and improves the accuracy of speech recognition. Compared with the baseline model, the character error rate (CER) and word error rate (WER) on the LibriSpeech test-other dataset increases by 2.42% and 2.96%, respectively. We apply the model structure to the Common Voice-Turkish (35 h) and Uzbek (78 h) datasets, and the WER is reduced by 7.07% and 7.08%, respectively. The results show that our method is close to the advanced E2E systems.
MeSH term(s)	Attention ; Language ; Speech ; Speech Perception ; Speech Recognition Software
Language	English
Publishing date	2022-09-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s22197319
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: [Overview of Status of Medical Device Registration and Quality Evaluation Requirements for Clinical Mass Spectrometry].

Peng, Xu / Yang, Zhong / Wang, Huiru / Dai, Leiying / Sun, Xueqing / Zou, Yingshu

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

2023 Volume 47, Issue 2, Page(s) 190–196

Abstract: Mass spectrometry technology is becoming an important tool for clinical analysis due to its high specificity, high sensitivity and high multi-component detection capability. The current applications of this technology are mainly in liquid chromatography- ... ...

Abstract	Mass spectrometry technology is becoming an important tool for clinical analysis due to its high specificity, high sensitivity and high multi-component detection capability. The current applications of this technology are mainly in liquid chromatography-tandem mass spectrometry (LC-MS/MS), matrix-assisted laser desorptionionization time-of-flight mass spectrometry (MALDI-TOF-MS), inductively coupled plasma mass spectrometry (ICP-MS), gas chromatography-mass spectrometry (GC-MS) and the related in vitro diagnostic kits. At present, the number of medical device (MD) based on mass spectrometry technology is growing rapidly, especially the number of LC-MS/MS and MALDI-TOF-MS registered MD products, and the standardization of relevant product quality requirements is also being effectively carried out. In general, clinical mass spectrometry equipment is still mainly imported, and the equipment price is relatively high. The development of mass spectrometry kits is mainly based on imported platforms, and domestic equipment is still in its infancy; the further promotion of clinical application of mass spectrometry also depends on the progress of the automation and standardization of the analysis procedure. To investigate the detection performance of mass spectrometry systems, it is necessary to fully consider the characteristics of mass spectrometry technology itself.
MeSH term(s)	Chromatography, Liquid/methods ; Tandem Mass Spectrometry ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods ; Gas Chromatography-Mass Spectrometry
Language	Chinese
Publishing date	2023-04-25
Publishing country	China
Document type	English Abstract ; Journal Article
ISSN	1671-7104
ISSN	1671-7104
DOI	10.3969/j.issn.1671-7104.2023.02.014
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Constructing an APOBEC-related gene signature with predictive value in the overall survival and therapeutic sensitivity in lung adenocarcinoma.

Luo, Yu / Wang, Huiru / Zhong, Jian / Shi, Jianrong / Zhang, Xianlin / Yang, Yanni / Wu, Ruixin

Heliyon

2023 Volume 9, Issue 11, Page(s) e21336

Abstract: Background: APOBEC family play an important role in cancer mutagenesis and tumor development. The role of APOBEC family in lung adenocarcinoma (LUAD) has not been studied comprehensively.: Materials and methods: The expression data of pan-cancer as ... ...

Abstract	Background: APOBEC family play an important role in cancer mutagenesis and tumor development. The role of APOBEC family in lung adenocarcinoma (LUAD) has not been studied comprehensively. Materials and methods: The expression data of pan-cancer as well as LUAD was obtained from public databases. The expression level of APOBEC family genes was analyzed in different normal and cancer tissues. APOBEC mutagenesis enrichment score (AMES) was utilized to evaluate the APOBEC-induced mutations and the relation of APOBEC with genomic instability. Gene set enrichment analysis was used to identify differentially enriched pathways. Univariate Cox regression and Lasso regression were applied to screen key prognostic genes. The immune cell infiltration was estimated by CIBERSORT. RT-qPCR assay, CCK-8 and Transwell assay were conducted to explore gene expression and lung cancer cell invasion. Results: Cancer tissues had significantly altered expression of APOBEC family genes and the expression patterns of APOBEC family were different in different cancer types. APOBEC3B was the most aberrantly expressed in most cancer types. In LUAD, we observed a significantly positive correlation of AMES with intratumor heterogeneity (ITH), tumor neoantigen burden (TNB), and tumor mutation burden (TMB). High AMES group had high mutation counts of DNA damage repair pathways, and high enrichment of cell cycle and DNA repair pathways. We identified four prognostic genes (LYPD3, ANLN, MUC5B, and FOSL1) based on AMES, and constructed an AMES-related gene signature. The expressions of four genes were enhanced and accelerated the invasion ability and viability of lung cancer cells. Furthermore, we found that high group increased oxidative stress level. Conclusions: APOBEC family was associated with genomic instability, DNA damage-related pathways, and cell cycle in LUAD. The AMES-related gene signature had a great potential to indicate the prognosis and guide immunotherapy/chemotherapy for patients suffering from LUAD.
Language	English
Publishing date	2023-10-28
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e21336
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